Online Appendix to 'Regulating the Doom Loop' · 2020. 9. 1. · “SA-IJCB-IJCB200032” —...

45
“SA-IJCB-IJCB200032” — 2020/8/28 — page 1 — #1 Online Appendix to “Regulating the Doom Loop” Spyros Alogoskoufis and Sam Langfield European Central Bank Introduction to Appendix This is the appendix for the paper “Regulating the Doom Loop” by Spyros Alogoskoufis and Sam Langfield. It contains the following sections: Appendix A reports an illustrative application of the portfolio reallocation model to a hypothetical bank. Appendix B reports bank-level statistics for sovereign expo- sures as of mid-2017. Appendix C reproduces tables and figures from the main paper using bank exposure data from end-2010. Appendix D reproduces tables and figures from the main paper using bank exposure data from end-2011. Appendix E reproduces tables and figures from the main paper using bank exposure data from mid-2017 and under the assumption that an area-wide low-risk asset exists as part of the portfolio opportunity set. Appendix F reproduces tables and figures from the main paper using bank exposure data from mid-2017 and under two assumptions: (i) an area-wide low-risk asset exists as part of the portfolio opportunity set and (ii) price-based regulatory reforms also include a minimum positive risk weight for all single-name sovereign exposures. The views expressed herein are those of the authors and do not necessarily represent the views of the institutions to which they are affiliated. Author e-mails: spyridon.alogoskoufi[email protected] and sam.langfi[email protected]. 1

Transcript of Online Appendix to 'Regulating the Doom Loop' · 2020. 9. 1. · “SA-IJCB-IJCB200032” —...

  • “SA-IJCB-IJCB200032” — 2020/8/28 — page 1 — #1

    Online Appendix to “Regulatingthe Doom Loop”∗

    Spyros Alogoskoufis and Sam LangfieldEuropean Central Bank

    Introduction to Appendix

    This is the appendix for the paper “Regulating the Doom Loop”by Spyros Alogoskoufis and Sam Langfield. It contains the followingsections:

    • Appendix A reports an illustrative application of the portfolioreallocation model to a hypothetical bank.

    • Appendix B reports bank-level statistics for sovereign expo-sures as of mid-2017.

    • Appendix C reproduces tables and figures from the main paperusing bank exposure data from end-2010.

    • Appendix D reproduces tables and figures from the mainpaper using bank exposure data from end-2011.

    • Appendix E reproduces tables and figures from the mainpaper using bank exposure data from mid-2017 and underthe assumption that an area-wide low-risk asset exists as partof the portfolio opportunity set.

    • Appendix F reproduces tables and figures from the mainpaper using bank exposure data from mid-2017 and under twoassumptions: (i) an area-wide low-risk asset exists as part ofthe portfolio opportunity set and (ii) price-based regulatoryreforms also include a minimum positive risk weight for allsingle-name sovereign exposures.

    ∗The views expressed herein are those of the authors and do not necessarilyrepresent the views of the institutions to which they are affiliated. Author e-mails:[email protected] and [email protected].

    1

  • “SA-IJCB-IJCB200032” — 2020/8/28 — page 2 — #2

    2 International Journal of Central Banking September 2020

    Appendix A. Illustrative Application of theSimulation Model

    Table A.1 provides an illustrative application of our model of endoge-nous portfolio reallocation to a hypothetical Italian bank endowedwith a sovereign portfolio of 100 units, comprising 75 units of Ital-ian, 20 units of German, and 5 units of French bonds. These assetsare funded with 30 units of equity (tier 1 capital) and 70 units ofdebt. The table shows portfolio allocations under the three reallo-cation cases applied to the four regulatory reforms. In all columns,the bank maintains its aggregate sovereign bond holdings at 100units, and it cannot reallocate those holdings to further reduce capi-tal requirements. In the regulatory status quo, these two conclusionshold by construction, since the hypothetical bank begins with a sov-ereign portfolio of 100 units to which current regulation applies nocapital charge. In subsequent columns, the bank chooses a portfo-lio under the respective reallocation rule that attracts a globallyminimal capital charge according to a given regulatory reform. Inparticular, the bank reallocates its portfolio as follows:

    • Under price-based reform to target concentration, the bankdivests its single-name holdings in excess of 100 percent oftier 1 capital, i.e., 75 − 30 = 45 of its Italian bond holdings.In the prudent case, this 45-unit excess is reinvested into thelowest-risk sovereigns, i.e., Germany up to the 30-unit limitfollowed by the Netherlands, with the residual 5 units investedin Luxembourg; in the base case, the excess is invested inGerman and French bonds up to the 30-unit limit, with theresidual 10 units invested in the country with an ELRate thatmost closely matches the initial portfolio, namely Slovakia; inthe imprudent case, the excess is reinvested into the highest-risk sovereigns, i.e., Greece up to the 30-unit limit, with theresidual 15 units reinvested in Cyprus.

    • Under price-based reform to target credit risk, the hypotheti-cal bank divests all 75 units of its Italian holdings, since theseattract a risk weight of 4 percent. In the prudent case, this75-unit excess is reinvested into German bonds (which are thelowest-risk securities); in the base case, the excess is dividedbetween German and French bonds in proportion to the bank’s

  • “SA-IJCB-IJCB200032” — 2020/8/28 — page 3 — #3

    Vol. 16 No. 4 Regulating the Doom Loop 3

    initial holdings of these securities; and in the imprudent case,the excess is reinvested entirely into the highest-risk sover-eign bond with a 0 percent risk weight, which happens to beSlovenia.

    • Under quantity-based reform to target concentration, the bankdivests its single-name holdings in excess of 25 percent of tier 1capital, i.e., all holdings in excess of 0.25×30 = 7.5 units. Thisimplies an excess of 75−7.5 = 67.5 for its Italian holdings and20 − 7.5 = 12.5 for its German holdings, for a total excess of80 units. In the prudent case, this 80-unit excess is reinvestedinto the lowest-risk sovereigns up to the 7.5-unit limit, whichtakes the bank from the Netherlands to Latvia inclusive; inthe base case, the bank increases its holdings of French bondsby 2.5 units, and then invests the 7.5-unit maximum in coun-tries in order of their proximity to the credit risk of the initialportfolio; in the imprudent case, the excess is reinvested intothe highest-risk sovereigns from Greece to Estonia inclusive.

    • Under quantity-based reform to target credit risk, the bankdivests its single-name holdings in excess of a fraction of tier 1capital given by a sovereign’s credit ratings. For the hypothet-ical bank, this constraint applies only to its Italian holdings,which have a BBB– rating and therefore a 75 percent largeexposure limit. The bank therefore divests 75 − (0.75 × 30) =52.5 of its Italian holdings. In the prudent case, this 52.5-unitexcess is reinvested into the lowest-risk sovereigns, as in theprevious reform scenario; in the base case, the excess is dividedproportionally between German and French bonds, with theresidual 17.5 units reinvested into Slovakia; in the imprudentcase, the excess is reinvested into the highest-risk sovereignsup to the respective large exposure limit, i.e., Greece, Cyprus,and Portugal (in that order).

    Computing measures of portfolio concentration and credit riskprovides early intuition of the results that we obtain using data onbanks’ actual sovereign exposures. For each of the four reform sce-narios, the credit risk of the resulting portfolio is weakly lowest inthe prudent case and highest in the imprudent case, with the basecase representing an interior solution. In the case of this hypothet-ical bank, the degrees of freedom in portfolio reallocation following

  • “SA-IJCB-IJCB200032” — 2020/8/28 — page 4 — #4

    4 International Journal of Central Banking September 2020

    Tab

    leA

    .1.

    Illu

    stra

    tive

    Por

    tfol

    ioR

    ealloca

    tion

    under

    Fou

    rR

    egula

    tory

    Ref

    orm

    Sce

    nar

    ios

    Pri

    ce-B

    ase

    dfo

    rP

    rice

    -Base

    dfo

    rQ

    uanti

    ty-B

    ase

    dfo

    rQ

    uanti

    ty-B

    ase

    dfo

    r

    Sta

    tus

    Conce

    ntr

    ati

    on

    Cre

    dit

    Ris

    kC

    once

    ntr

    ati

    on

    Cre

    dit

    Ris

    k

    Quo

    Pru

    den

    tB

    ase

    Impru

    den

    tP

    ruden

    tB

    ase

    Impru

    den

    tP

    ruden

    tB

    ase

    Impru

    den

    tP

    ruden

    tB

    ase

    Impru

    den

    t

    Ger

    man

    y20

    3030

    2095

    8020

    7.5

    7.5

    7.5

    3030

    20N

    ether

    lands

    307.

    530

    Luxu

    mbou

    rg5

    7.5

    12.5

    Aust

    ria

    7.5

    2.5

    Fin

    land

    7.5

    7.5

    Fra

    nce

    55

    305

    520

    57.

    57.

    55

    530

    5B

    elgi

    um

    7.5

    7.5

    Est

    onia

    7.5

    7.5

    5Slo

    vaki

    a10

    7.5

    7.5

    7.5

    17.5

    Irel

    and

    7.5

    7.5

    7.5

    Lit

    huan

    ia7.

    57.

    57.

    5Spai

    n7.

    57.

    57.

    5Lat

    via

    7.5

    7.5

    7.5

    Ital

    y75

    3030

    307.

    57.

    57.

    522

    .522

    .522

    .5M

    alta

    7.5

    7.5

    Slo

    venia

    757.

    57.

    5Por

    tuga

    l7.

    522

    .5C

    ypru

    s7.

    515

    Gre

    ece

    7.5

    15

    (con

    tinu

    ed)

  • “SA-IJCB-IJCB200032” — 2020/8/28 — page 5 — #5

    Vol. 16 No. 4 Regulating the Doom Loop 5

    Tab

    leA

    .1.

    (Con

    tinued

    )

    Pri

    ce-B

    ase

    dfo

    rP

    rice

    -Base

    dfo

    rQ

    uanti

    ty-B

    ase

    dfo

    rQ

    uanti

    ty-B

    ase

    dfo

    r

    Sta

    tus

    Conce

    ntr

    ati

    on

    Cre

    dit

    Ris

    kC

    once

    ntr

    ati

    on

    Cre

    dit

    Ris

    k

    Quo

    Pru

    den

    tB

    ase

    Impru

    den

    tP

    ruden

    tB

    ase

    Impru

    den

    tP

    ruden

    tB

    ase

    Impru

    den

    tP

    ruden

    tB

    ase

    Impru

    den

    t

    Exp

    /T1

    333

    333

    333

    333

    333

    333

    333

    333

    333

    333

    333

    333

    333

    Hom

    eBia

    s70

    1515

    150

    00

    00

    06

    66

    HH

    I61

    2828

    2591

    6861

    77

    725

    2619

    Key

    Dev

    iation

    148

    69

    1714

    187

    78

    86

    8ELRat

    e5.

    62.

    73.

    515

    .30.

    60.

    86.

    33.

    54.

    89.

    12.

    23.

    312

    .2VaR

    6948

    5975

    3338

    6959

    6775

    4458

    74Exp

    ecte

    dLos

    s18

    .78.

    811

    .551

    .11.

    92.

    621

    .111

    .616

    .130

    .47.

    211

    .140

    .6U

    nex

    pect

    edLos

    s23

    115

    919

    525

    011

    112

    523

    119

    522

    424

    914

    719

    324

    6

    Note

    s:T

    his

    table

    illu

    stra

    tes

    port

    folio

    realloca

    tion

    for

    ast

    ylize

    dIt

    alian

    bank

    funded

    by

    30

    unit

    sof

    tier

    1ca

    pit

    al

    and

    wit

    hin

    itia

    l(s

    tatu

    squo)

    hold

    -in

    gs

    of

    75

    unit

    sof

    Italian,

    20

    unit

    sof

    Ger

    man,

    and

    5unit

    sof

    Fre

    nch

    sover

    eign

    bonds.

    The

    table

    report

    s12

    sover

    eign

    port

    folio

    realloca

    tions,

    nam

    ely

    four

    regula

    tory

    refo

    rmsc

    enari

    os

    cross

    edw

    ith

    thre

    eca

    ses—

    pru

    den

    t,base

    ,and

    impru

    den

    t—th

    at

    det

    erm

    ine

    the

    port

    folio

    alloca

    tion

    rule

    that

    banks

    adopt.

    Exp

    /T1

    refe

    rsto

    abank’s

    hold

    ings

    of

    bonds

    issu

    edby

    euro

    -are

    am

    ember

    state

    sas

    aper

    centa

    ge

    of

    its

    tier

    1ca

    pit

    al.

    Hom

    eBia

    sis

    defi

    ned

    as

    Ma

    x

    [ 0,100

    ×(h

    i=

    d/

    ∑19

    i=

    1h

    i)−

    CK

    i=

    d1

    −C

    Ki=

    d

    ] ,w

    her

    eh

    i=

    dis

    the

    bank’s

    hold

    ings

    ofbonds

    issu

    edby

    its

    dom

    esti

    cso

    ver

    eign

    d,∑

    19

    i=

    1h

    iis

    the

    bank’s

    sover

    eign

    exposu

    res

    sum

    med

    acr

    oss

    all

    19

    euro

    -are

    aco

    untr

    ies,

    and

    CK

    i=

    dis

    the

    EC

    Bca

    pit

    al

    key

    share

    of

    dom

    esti

    cco

    untr

    yd.

    HH

    Ire

    fers

    toth

    eH

    erfindahl-

    Hir

    schm

    an

    index

    of

    conce

    ntr

    ati

    on,

    defi

    ned

    as

    ∑19

    i=

    1(h

    i/

    ∑19

    i=

    1h

    i)2

    100

    .K

    eyD

    evia

    tion

    mea

    sure

    sth

    eex

    tent

    tow

    hic

    ha

    bank’s

    port

    folio

    dev

    iate

    sfr

    om

    EC

    B

    capit

    alkey

    wei

    ghts

    ,and

    isca

    lcula

    ted

    as

    √∑

    19

    i=

    1((

    hi/

    ∑19

    i=

    1h

    i)−

    CK

    i)2

    19

    .ELRat

    ere

    fers

    toa

    bank’s

    five-

    yea

    rex

    pec

    ted

    loss

    rate

    (expre

    ssed

    as

    aper

    centa

    ge)

    on

    its

    sover

    eign

    port

    folio,and

    VaR

    refe

    rsto

    the

    min

    imum

    per

    centa

    ge

    reduct

    ion

    inport

    folio

    valu

    eth

    at

    occ

    urs

    over

    five

    yea

    rsw

    ith

    1per

    cent

    pro

    bability.

    Exp

    ecte

    dLos

    sand

    Unex

    pect

    edLos

    sare

    calc

    ula

    ted

    by

    mult

    iply

    ing

    Exp

    /T1

    by

    ELRat

    eand

    VaR

    ,re

    spec

    tivel

    y.In

    the

    table

    ,co

    untr

    ies

    are

    ord

    ered

    inasc

    endin

    gord

    erofth

    eir

    expec

    ted

    loss

    rate

    .

  • “SA-IJCB-IJCB200032” — 2020/8/28 — page 6 — #6

    6 International Journal of Central Banking September 2020

    regulatory reform are such that all reform scenarios are consistentwith increased sovereign credit risk exposure in the imprudent caserelative to the status quo. Moreover, while home bias unambiguouslydecreases in all reform scenarios, price-based reform to target creditrisk is consistent with the hypothetical bank increasing its portfolioconcentration (as measured by HHI and KeyDeviation).

    Appendix B. Individual Bank Sovereign Exposures(Mid-2017)

    Table B.1 reports bank-level statistics on sovereign exposures asof mid-2017. The sample includes 95 banks located in 17 differentcountries. Fifty-seven of these banks have a sovereign exposure thatexceeds their tier 1 capital. Moreover, home bias is widespread: only10 banks do not exhibit any home bias. The resulting portfolio con-centration is reflected in generally high values of HHI and KeyDevi-ation. In terms of credit risk, banks exhibit significant heterogeneity.Due to home bias, the most heavily exposed bank is located in theriskiest country, namely Greece.

  • “SA-IJCB-IJCB200032” — 2020/8/28 — page 7 — #7

    Vol. 16 No. 4 Regulating the Doom Loop 7Tab

    leB

    .1.

    Indiv

    idual

    Ban

    kSov

    erei

    gnExpos

    ure

    s(m

    id-2

    017)

    Nam

    eof

    Ban

    kExp

    /T1

    Hom

    eBia

    sH

    HI

    Key

    Dev

    iation

    ELRat

    eVaR

    A.A

    ustr

    ian

    Ban

    ks

    Ers

    teG

    roup

    Ban

    kA

    G84

    4536

    153.

    358

    Pro

    mon

    tori

    aSa

    cher

    Hol

    ding

    N.V

    .33

    2316

    93.

    761

    Rai

    ffeis

    enB

    ank

    Inte

    rnat

    iona

    lA

    G84

    3219

    102.

    550

    Rai

    ffeis

    en-H

    oldi

    ngN

    Ö-W

    ien

    127

    2217

    81.

    745

    Rai

    ffeis

    enba

    nken

    grup

    peO

    ÖV

    erbu

    nd60

    5534

    142.

    353

    Sber

    bank

    Eur

    ope

    AG

    280

    2512

    7.7

    79V

    olks

    bank

    enV

    erbu

    nd85

    7153

    182.

    453

    VT

    BB

    ank

    (Aus

    tria

    )A

    G64

    971

    150.

    735

    B.Bel

    gian

    Ban

    ks

    AX

    AB

    ank

    Bel

    gium

    SA23

    510

    2011

    2.4

    49B

    ank

    ofN

    ewY

    ork

    Mel

    lon

    229

    920

    62.

    756

    Bel

    fius

    Ban

    que

    SA11

    345

    3613

    4.0

    67D

    exia

    NV

    325

    055

    147.

    277

    Inve

    star

    142

    6445

    173.

    665

    KB

    CG

    roup

    NV

    185

    4426

    123.

    463

    C.C

    ypri

    otBan

    ks

    Ban

    kof

    Cyp

    rus

    Hol

    ding

    s23

    100

    100

    2516

    .188

    Co-

    oper

    ativ

    eC

    entr

    alB

    ank

    Ltd

    .81

    100

    100

    2516

    .188

    Hel

    leni

    cB

    ank

    Pub

    licC

    ompa

    nyLtd

    .12

    388

    7922

    14.3

    82

    D.Est

    onia

    nBan

    ks

    AS

    LH

    VG

    roup

    290

    5119

    6.8

    75

    E.Fin

    nish

    Ban

    ks

    Kun

    tara

    hoit

    usO

    yj14

    869

    5017

    1.1

    45O

    PFin

    anci

    alG

    roup

    335

    4812

    0.7

    35

    (con

    tinu

    ed)

  • “SA-IJCB-IJCB200032” — 2020/8/28 — page 8 — #8

    8 International Journal of Central Banking September 2020Tab

    leB

    .1.

    (Con

    tinued

    )

    Nam

    eof

    Ban

    kExp

    /T1

    Hom

    eBia

    sH

    HI

    Key

    Dev

    iation

    ELRat

    eVaR

    F.Fr

    ench

    Ban

    ks

    Ban

    que

    Pub

    lique

    d’In

    vest

    isse

    men

    t43

    100

    100

    201.

    960

    BN

    PPar

    ibas

    SA10

    49

    175

    3.3

    60C

    rédi

    tM

    utue

    lG

    roup

    5852

    4011

    2.6

    58G

    roup

    eB

    PC

    E87

    4737

    103.

    363

    Gro

    upe

    Cré

    dit

    Agr

    icol

    e89

    5040

    102.

    860

    La

    Ban

    que

    Pos

    tale

    317

    7464

    152.

    058

    Ren

    ault

    Cré

    dit

    Inte

    rnat

    iona

    l9

    027

    104.

    060

    Soci

    été

    deFin

    ance

    men

    tLoc

    al56

    60

    6616

    6.4

    76So

    ciét

    éG

    ener

    ale

    SA51

    2924

    72.

    152

    G.G

    erm

    anBan

    ks

    Aar

    ealB

    ank

    AG

    271

    3936

    82.

    548

    Bay

    eris

    che

    Lan

    desb

    ank

    116

    7870

    141.

    138

    Com

    mer

    zban

    kA

    G83

    332

    85.

    265

    Dek

    aBan

    k13

    590

    8517

    0.9

    35D

    euts

    che

    Ban

    kA

    G59

    817

    42.

    149

    Deu

    tsch

    eP

    fand

    brie

    fban

    kA

    G22

    70

    216

    5.2

    68D

    euts

    che

    Zen

    tral

    -Gen

    osse

    nsch

    afts

    bank

    158

    6455

    121.

    943

    Erw

    erbs

    gese

    llsch

    aft

    der

    S-Fin

    anzg

    rupp

    e12

    878

    7015

    0.8

    36H

    ASP

    AFin

    anzh

    oldi

    ngA

    G79

    8276

    151.

    538

    HSH

    Bet

    eilig

    ungs

    Man

    agem

    ent

    Gm

    bH23

    179

    7115

    1.1

    37Lan

    desb

    ank

    Bad

    en-W

    ürtt

    embe

    rg80

    6759

    131.

    641

    Lan

    desb

    ank

    Hes

    sen-

    Thu

    ring

    en10

    976

    6914

    0.8

    37Lan

    dwir

    tsch

    aftl

    iche

    Ren

    tenb

    ank

    1782

    7515

    1.7

    39N

    ordd

    euts

    che

    Lan

    desb

    ank

    186

    6354

    121.

    339

    NRW

    .Ban

    k98

    1821

    42.

    551

    Stat

    eSt

    reet

    Eur

    ope

    Hol

    ding

    sG

    erm

    any

    670

    3711

    2.2

    58

    H.G

    reek

    Ban

    ks

    Alp

    haB

    ank

    AE

    4197

    9524

    34.7

    95E

    urob

    ank

    Erg

    asia

    sSA

    5310

    010

    024

    35.2

    95N

    atio

    nalB

    ank

    ofG

    reec

    eSA

    132

    3254

    1912

    .754

    Pir

    aeus

    Ban

    kSA

    121

    1867

    217.

    845

    (con

    tinu

    ed)

  • “SA-IJCB-IJCB200032” — 2020/8/28 — page 9 — #9

    Vol. 16 No. 4 Regulating the Doom Loop 9

    Tab

    leB

    .1.

    (Con

    tinued

    )

    Nam

    eof

    Ban

    kExp

    /T1

    Hom

    eBia

    sH

    HI

    Key

    Dev

    iation

    ELRat

    eVaR

    I.Ir

    ish

    Ban

    ks

    Alli

    edIr

    ish

    Ban

    ks,P

    lc10

    174

    5718

    5.9

    74B

    ank

    ofIr

    elan

    d97

    6545

    165.

    472

    Cit

    iban

    kH

    oldi

    ngs

    Irel

    and

    Lim

    ited

    80

    2011

    2.0

    49D

    EP

    FAB

    AN

    KP

    lc25

    40

    5011

    1.7

    43Per

    man

    ent

    TSB

    Gro

    upH

    oldi

    ngs

    Plc

    138

    100

    100

    246.

    075

    J.It

    alia

    nBan

    ks

    Ban

    caC

    arig

    eSp

    A96

    100

    100

    217.

    280

    Ban

    caM

    onte

    deiPas

    chidi

    Sien

    a2,

    046

    9998

    207.

    280

    Ban

    caPop

    olar

    edi

    Sond

    rio

    386

    7971

    176.

    979

    Ban

    coB

    PM

    S.p.

    A.

    326

    100

    100

    217.

    280

    BP

    ER

    Ban

    caS.

    p.A

    .13

    192

    8719

    6.8

    78C

    redi

    toE

    mili

    ano

    Hol

    ding

    SpA

    173

    7362

    166.

    175

    Iccr

    eaB

    anca

    Spa

    606

    100

    100

    217.

    280

    Inte

    saSa

    npao

    loSp

    A15

    051

    4111

    5.9

    72M

    edio

    banc

    a95

    6352

    135.

    771

    Uni

    Cre

    dit

    SpA

    215

    4536

    105.

    469

    Uni

    one

    diB

    anch

    eIt

    alia

    neSC

    pA17

    810

    010

    021

    7.2

    80

    K.La

    tvia

    nBan

    ks

    AB

    LVB

    ank

    9373

    5519

    6.0

    71

    (con

    tinu

    ed)

  • “SA-IJCB-IJCB200032” — 2020/8/28 — page 10 — #10

    10 International Journal of Central Banking September 2020

    Tab

    leB

    .1.

    (Con

    tinued

    )

    Nam

    eof

    Ban

    kExp

    /T1

    Hom

    eBia

    sH

    HI

    Key

    Dev

    iation

    ELRat

    eVaR

    L.Lux

    embo

    urgi

    shBan

    ks

    Pre

    cisi

    onC

    apit

    alS.

    A.

    324

    814

    73.

    964

    RB

    CIn

    vest

    orSe

    rvic

    esB

    ank

    S.A

    .27

    010

    018

    0.5

    32

    M.M

    alte

    seBan

    ks

    Ban

    kof

    Val

    lett

    aP

    lc19

    065

    4517

    5.4

    67M

    eDir

    ect

    Gro

    upLim

    ited

    734

    5512

    1.8

    53

    N.D

    utch

    Ban

    ks

    AB

    NA

    MR

    OG

    roup

    N.V

    .13

    323

    177

    1.5

    45C

    oöpe

    rati

    eve

    Rab

    oban

    kU

    .A54

    7865

    180.

    937

    De

    Vol

    ksho

    ldin

    gB

    .V.

    112

    1723

    81.

    343

    ING

    Gro

    epN

    .V.

    8117

    197

    1.5

    45N

    .V.B

    ank

    Ned

    erla

    ndse

    Gem

    eent

    en18

    522

    187

    1.4

    44

    O.Por

    tugu

    ese

    Ban

    ks

    Ban

    coC

    omer

    cial

    Por

    tugu

    êsSA

    105

    9897

    2411

    .785

    Cai

    xaC

    entr

    alde

    Cre

    dito

    Agŕ

    ıcol

    a47

    952

    4315

    9.6

    83C

    aixa

    Ger

    alde

    Dep

    ósit

    osSA

    218

    7257

    1810

    .483

    Nov

    oB

    anco

    142

    6045

    169.

    681

    P.Sl

    oven

    ian

    Ban

    ks

    Aba

    nka

    d.d.

    183

    8572

    217.

    577

    Bis

    erTop

    coS.

    a.r.

    l.23

    356

    3415

    5.9

    70N

    ova

    Lju

    blja

    nska

    Ban

    ka11

    262

    4016

    6.0

    69

    (con

    tinu

    ed)

  • “SA-IJCB-IJCB200032” — 2020/8/28 — page 11 — #11

    Vol. 16 No. 4 Regulating the Doom Loop 11

    Tab

    leB

    .1.

    (Con

    tinued

    )

    Nam

    eof

    Ban

    kExp

    /T1

    Hom

    eBia

    sH

    HI

    Key

    Dev

    iation

    ELRat

    eVaR

    Q.Sp

    anis

    hBan

    ks

    AB

    AN

    CA

    Hol

    ding

    Fin

    anci

    ero

    165

    8475

    197.

    180

    Ban

    coB

    ilbao

    Viz

    caya

    Arg

    enta

    ria,

    SA80

    6858

    166.

    980

    Ban

    code

    Cré

    dito

    Soci

    alC

    oope

    rati

    vo15

    479

    7018

    7.7

    81B

    anco

    deSa

    bade

    ll,SA

    194

    3644

    137.

    280

    Ban

    coM

    are

    Nos

    trum

    239

    9897

    226.

    880

    Ban

    coSa

    ntan

    der

    SA93

    6957

    167.

    580

    Ban

    kint

    erSA

    166

    9591

    216.

    880

    BFA

    Ten

    edor

    ade

    Acc

    ione

    s,S.

    A.U

    .27

    085

    7719

    6.7

    80C

    rite

    ria

    Cai

    xaS.

    A.U

    .13

    394

    9121

    6.7

    79Ib

    erca

    jaB

    anco

    304

    9489

    216.

    980

    Kut

    xaba

    nk58

    100

    100

    226.

    880

    Lib

    erba

    nk32

    997

    9521

    6.8

    80U

    nica

    jaB

    anco

    S.A

    .36

    296

    9321

    6.8

    80

    Note

    s:T

    hista

    ble

    repor

    tseu

    ro-a

    rea

    bank

    s’so

    vere

    ign

    expos

    ures

    asdi

    sclo

    sed

    inth

    eE

    BA

    tran

    spar

    ency

    exer

    cise

    (201

    7).E

    xp/T

    1re

    fers

    to

    aba

    nk’s

    sove

    reig

    nex

    pos

    ure

    asa

    per

    cent

    age

    ofit

    sti

    er1

    capi

    tal.

    Hom

    eBia

    sis

    defin

    edas

    Max

    [ 0,10

    (hi=

    d/

    ∑19

    i=

    1h

    i)−

    CK

    i=

    d

    1−

    CK

    i=

    d

    ] ,whe

    re

    hi=

    dis

    the

    bank

    ’sho

    ldin

    gsof

    bon

    dsis

    sued

    byit

    sdo

    mes

    tic

    sove

    reig

    nd,

    ∑ 19

    i=1

    hi

    isth

    eba

    nk’s

    sove

    reig

    nex

    pos

    ures

    sum

    med

    acro

    ssal

    l19

    euro

    -are

    aco

    untr

    ies,

    and

    CK

    i=d

    isth

    eE

    CB

    capi

    talke

    ysh

    are

    ofdo

    mes

    tic

    coun

    try

    d.H

    HI

    refe

    rsto

    the

    Her

    finda

    hl-H

    irsc

    hman

    inde

    xof

    conc

    entr

    atio

    n,de

    fined

    as∑

    19

    i=

    1(h

    i/

    ∑19

    i=

    1h

    i)2

    100

    .K

    eyD

    evia

    tion

    mea

    sure

    sth

    eex

    tent

    tow

    hich

    aba

    nk’s

    por

    tfol

    iode

    viat

    esfr

    om

    EC

    Bca

    pita

    lke

    yw

    eigh

    ts,

    and

    isca

    lcul

    ated

    as√

    ∑19

    i=

    1((

    hi/

    ∑19

    i=

    1h

    i)−

    CK

    i)2

    19

    .ELRat

    ere

    fers

    toa

    bank

    ’sfiv

    e-ye

    arex

    pec

    ted

    loss

    rate

    (exp

    ress

    edas

    aper

    cent

    age)

    onit

    sso

    vere

    ign

    por

    tfol

    io,an

    dVaR

    refe

    rsto

    the

    min

    imum

    per

    cent

    age

    redu

    ctio

    nin

    valu

    eth

    atw

    ould

    occu

    rov

    erfiv

    eye

    ars

    wit

    h1

    per

    cent

    prob

    abili

    ty.

  • “SA-IJCB-IJCB200032” — 2020/8/28 — page 12 — #12

    12 International Journal of Central Banking September 2020

    Appendix C. Robustness to Exposure Data from End-2010

    We report simulation results using exposure data from end-2010,when the EBA publicly disclosed euro-area banks’ sovereign expo-sures for the first time. This older vintage covers 75 banks located in15 countries. Summary statistics for these older exposures data areshown in table C.1. Compared with mid-2017, bank exposures are45 percentage points higher on average, with Exp/T1 = 216 percent.Moreover, portfolios generally exhibit higher levels of concentrationand credit risk. From the perspective of the doom loop, end-2010exposure data therefore represent a more severe initial condition.

    Subsequent tables and figures reproduce the standard set of simu-lation results for each of the four regulatory reform scenarios. Despitethe aggravated initial condition as of end-2010, the prudent case gen-erates outcomes in terms of concentration and credit risk that arecomparable to those obtained using mid-2017 data. By contrast, thebase case and in particular the imprudent case demonstrate higherlevels of concentration and credit risk. Consequently, greater severityin initial conditions widens the range of outcomes associated withthe prudent and imprudent cases, exacerbating uncertainty regard-ing banks’ portfolio reallocation decisions. In turn, this implies moreambiguity regarding equilibrium outcomes for the doom loop.

  • “SA-IJCB-IJCB200032” — 2020/8/28 — page 13 — #13

    Vol. 16 No. 4 Regulating the Doom Loop 13

    Table C.1. Summary Statistics on Bank SovereignExposures (end-2010)

    Mean St. Dev. p10 p25 p50 p75 p90

    Exp/T1 216 206 79 107 159 240 392HomeBias 76 27 30 60 88 98 100HHI 72 27 28 45 81 97 100KeyDeviation 18 5 9 14 20 22 23ELRate 8.4 9.0 1.7 3.7 6.8 7.2 26.3VaR 69 18 40 55 79 80 90ExpectedLoss 19.4 44.2 2.7 5.3 8.9 14.3 33.1UnexpectedLoss 139 126 55 84 112 168 238

    Notes: This table reports summary statistics on banks’ sovereign bond hold-ings as of end-2010 according to the EBA. Exp/T1 refers to a bank’s sover-eign exposure as a percentage of its tier 1 capital. HomeBias is defined as

    Max

    [0, 100 × (hi=d/

    ∑19i=1 hi)−CKi=d

    1−CKi=d

    ], where hi=d is the bank’s holdings of bonds

    issued by its domestic sovereign d,∑19

    i=1 hi is the bank’s sovereign exposures summedacross all 19 euro-area countries, and CKi=d is the ECB capital key share ofdomestic country d. HHI refers to the Herfindahl-Hirschman index of concentra-

    tion, defined as∑19

    i=1(hi/∑19

    i=1 hi)2

    100 . KeyDeviation measures the extent to whicha bank’s portfolio deviates from ECB capital key weights, and is calculated as√ ∑19

    i=1((hi/∑19

    i=1 hi)−CKi)219 . ELRate refers to a bank’s five-year expected loss rate

    (expressed as a percentage) on its sovereign portfolio, and VaR refers to the mini-mum percentage reduction in portfolio value that occurs over five years with 1 percentprobability. ExpectedLoss and UnexpectedLoss are calculated by multiplying Exp/T1by ELRate and VaR, respectively.

  • “SA-IJCB-IJCB200032” — 2020/8/28 — page 14 — #14

    14 International Journal of Central Banking September 2020

    Table C.2. Price-Based Reform to TargetConcentration (end-2010)

    Mean St. Dev. p10 p25 p50 p75 p90

    A. Prudent Case

    Exp/T1 216 206 79 107 159 240 392HomeBias 49 31 7 25 45 73 99HHI 48 26 20 26 42 64 98KeyDeviation 13 5 7 10 12 17 22ELRate 6.2 5.8 1.8 3.3 4.8 6.8 12.3VaR 62 14 44 50 61 75 80ExpectedLoss 11.3 11.5 2.7 5.3 7.7 9.8 36.0UnexpectedLoss 122 110 55 83 100 129 175

    B. Base Case

    Exp/T1 216 206 79 107 159 240 392HomeBias 49 31 7 25 45 73 99HHI 49 26 21 28 44 64 98KeyDeviation 14 5 7 9 14 18 22ELRate 7.9 6 3.5 4.6 6.6 8.2 15.2VaR 71 12 53 62 73 80 83ExpectedLoss 17.1 19.8 3.7 6.7 9.5 20.3 37.5UnexpectedLoss 149 139 55 85 112 161 267

    C. Imprudent Case

    Exp/T1 216 206 79 107 159 240 392HomeBias 49 31 7 25 45 73 99HHI 48 26 20 27 41 64 98KeyDeviation 15 5 8 11 15 18 22ELRate 12.2 6.8 3.9 6.8 11.4 16.9 19.8VaR 75 12 56 67 80 84 87ExpectedLoss 27.9 25.7 3.7 7.7 18.6 43.3 57.6UnexpectedLoss 163 158 55 85 119 192 281

    Notes: Using exposures data from end-2010, this table shows the simulation resultsfor price-based reform to target concentration in the limiting case of full reinvest-ment. In panel A, banks reinvest into the lowest-risk sovereign bond; in panel B,banks reinvest into a portfolio that is similar to their existing portfolio; in panel C,banks reinvest into the highest-risk sovereign bond. The summary statistics corre-spond to the case of 100 percent reinvestment shown in figure C.1. Variables aredefined in the notes to table C.1.

  • “SA-IJCB-IJCB200032” — 2020/8/28 — page 15 — #15

    Vol. 16 No. 4 Regulating the Doom Loop 15

    Table C.3. Price-Based Reform to TargetCredit Risk (end-2010)

    Mean St. Dev. p10 p25 p50 p75 p90

    A. Prudent Case

    Exp/T1 216 206 79 107 159 240 392HomeBias 29 38 0 0 0 62 94HHI 81 25 40 64 95 100 100KeyDeviation 17 3 12 16 18 18 18ELRate 1.1 1.4 0.5 0.5 0.6 1.0 2.3VaR 38 11 32 32 33 38 55ExpectedLoss 2.2 2.7 0.4 0.7 1.2 2.3 5.0UnexpectedLoss 79 69 27 42 59 93 149

    B. Base Case

    Exp/T1 216 206 79 107 159 240 392HomeBias 32 40 0 0 0 75 94HHI 85 22 43 81 97 100 100KeyDeviation 20 4 13 17 20 24 25ELRate 3.2 2.7 0.5 0.7 1.9 6.1 6.8VaR 55 18 32 33 59 75 75ExpectedLoss 5.0 4.5 1.0 1.5 2.8 7.8 10.8UnexpectedLoss 103 70 44 59 89 131 174

    C. Imprudent Case

    Exp/T1 216 206 79 107 159 240 392HomeBias 26 34 0 0 0 58 86HHI 77 27 31 48 89 99 100KeyDeviation 20 5 11 16 23 25 25ELRate 5.8 2.8 1.3 2.8 7.8 8.2 8.2VaR 67 16 40 54 78 80 80ExpectedLoss 10.8 10.5 2.4 4.4 9.1 13.0 18.6UnexpectedLoss 134 111 55 80 110 157 219

    Notes: Using exposures data from end-2010, this table shows the simulation resultsfor price-based reform to target credit risk in the limiting case of full reinvestment.In panel A, banks reinvest into the lowest-risk sovereign bond; in panel B, banksreinvest into a portfolio that is similar to their existing portfolio; in panel C, banksreinvest into the highest-risk sovereign bond. The summary statistics correspond tothe case of 100 percent reinvestment shown in figure C.2. Variables are defined in thenotes to table C.1.

  • “SA-IJCB-IJCB200032” — 2020/8/28 — page 16 — #16

    16 International Journal of Central Banking September 2020

    Table C.4. Quantity-Based Reform to TargetConcentration (end-2010)

    Mean St. Dev. p10 p25 p50 p75 p90

    A. Prudent Case

    Exp/T1 216 206 79 107 159 240 392HomeBias 12 18 0 0 7 16 23HHI 17 16 6 10 15 20 27KeyDeviation 9 3 7 7 8 10 11ELRate 3.7 2.0 1.9 2.2 3.0 4.7 6.8VaR 52 8 45 47 50 55 65ExpectedLoss 9.5 14.7 2.0 2.8 4.4 9.3 18.0UnexpectedLoss 121 140 37 52 77 127 242

    B. Base Case

    Exp/T1 216 206 79 107 159 240 392HomeBias 12 18 0 0 7 16 23HHI 18 16 6 10 15 21 27KeyDeviation 9 3 6 7 8 11 12ELRate 7.8 3.4 4.3 6.1 7.3 8.8 12.7VaR 69 9 57 64 69 77 80ExpectedLoss 16.2 14.4 4.1 7.8 14.5 19.8 29.0UnexpectedLoss 147 135 57 78 116 164 253

    C. Imprudent Case

    Exp/T1 216 206 79 107 159 240 392HomeBias 12 18 0 0 7 16 23HHI 17 16 6 10 14 20 27KeyDeviation 10 3 8 8 10 12 14ELRate 12.3 3.9 6.8 9.4 12.0 14.9 17.5VaR 78 8 66 72 80 85 87ExpectedLoss 22.6 12.8 12.5 17.4 20.8 26.1 31.7UnexpectedLoss 161 135 63 89 125 186 283

    Notes: Using exposures data from end-2010, this table shows the simulation resultsfor quantity-based reform to target concentration. In panel A, banks reinvest into thelowest-risk sovereign bond; in panel B, banks reinvest into a portfolio that is similarto their existing portfolio; in panel C, banks reinvest into the highest-risk sovereignbond. The summary statistics correspond to the case of a 25 percent large exposurelimit shown in figure C.3. Variables are defined in the notes to table C.1.

  • “SA-IJCB-IJCB200032” — 2020/8/28 — page 17 — #17

    Vol. 16 No. 4 Regulating the Doom Loop 17

    Table C.5. Quantity-Based Reform to TargetCredit Risk (end-2010)

    Mean St. Dev. p10 p25 p50 p75 p90

    A. Prudent Case

    Exp/T1 216 206 79 107 159 240 392HomeBias 39 27 3 21 35 54 87HHI 41 22 20 26 37 49 79KeyDeviation 12 4 7 9 11 14 19ELRate 4.8 3.3 1.8 2.8 4.1 6.0 7.4VaR 57 12 42 48 56 64 75ExpectedLoss 8.8 8.2 2.7 5.1 6.4 9.3 18.8UnexpectedLoss 114 110 55 68 89 114 175

    B. Base Case

    Exp/T1 216 206 79 107 159 240 392HomeBias 39 27 3 21 36 54 87HHI 41 22 18 25 37 50 79KeyDeviation 13 5 6 9 13 16 20ELRate 7.1 4.4 3.1 4.1 6.5 8.0 14.0VaR 68 12 52 58 68 80 83ExpectedLoss 14.5 14.1 3.7 6.2 9.6 20.1 28.0UnexpectedLoss 143 131 55 84 104 154 264

    C. Imprudent Case

    Exp/T1 216 206 79 107 159 240 392HomeBias 40 27 3 21 36 54 87HHI 37 23 16 21 30 48 79KeyDeviation 13 4 7 10 13 16 19ELRate 11.8 5.5 3.9 7.9 12.2 16.2 18.0VaR 75 12 56 67 81 85 86ExpectedLoss 24.4 17.7 3.7 8.6 23.6 34.3 42.6UnexpectedLoss 160 147 55 86 122 186 275

    Notes: Using exposures data from end-2010, this table shows the simulation resultsfor quantity-based reform to target credit risk. In panel A, banks reinvest into thelowest-risk sovereign bond; in panel B, banks reinvest into a portfolio that is similarto their existing portfolio; in panel C, banks reinvest into the highest-risk sovereignbond. The summary statistics correspond to the case of a 25 percent large exposurelimit for the lowest rating bucket shown in figure C.4. Variables are defined in thenotes to table C.1.

  • “SA-IJCB-IJCB200032” — 2020/8/28 — page 18 — #18

    18 International Journal of Central Banking September 2020

    Figure C.1. Price-Based Reform to Target Concentration(end-2010)

    Notes: Using exposures data from end-2010, this figure plots HomeBias, Key-Deviation, ELRate, and ExpectedLoss, as defined in the note to table C.1, as afunction of the percentage of banks’ sovereign bond portfolios that is reinvested.Zero percent reinvestment corresponds to table C.1 and 100 percent reinvestmentcorresponds to table C.2. In panel A, banks reinvest into the lowest-risk sovereignbond; in panel B, banks reinvest into a portfolio that is similar to their existingportfolio; in panel C, banks reinvest into the highest-risk sovereign bond.

  • “SA-IJCB-IJCB200032” — 2020/8/28 — page 19 — #19

    Vol. 16 No. 4 Regulating the Doom Loop 19

    Figure C.2. Price-Based Reform to Target Credit Risk(end-2010)

    Notes: Using exposures data from end-2010, this figure plots HomeBias, Key-Deviation, ELRate, and ExpectedLoss, as defined in the note to table C.1, as afunction of the percentage of banks’ sovereign bond portfolios that is reinvested.Zero percent reinvestment corresponds to table C.1 and 100 percent reinvestmentcorresponds to table C.3. In panel A, banks reinvest into the lowest-risk sovereignbond; in panel B, banks reinvest into a portfolio that is similar to their existingportfolio; in panel C, banks reinvest into the highest-risk sovereign bond.

  • “SA-IJCB-IJCB200032” — 2020/8/28 — page 20 — #20

    20 International Journal of Central Banking September 2020

    Figure C.3. Quantity-Based Reform to TargetConcentration (end-2010)

    Notes: Using exposures data from end-2010, this figure plots HomeBias, Key-Deviation, ELRate, and ExpectedLoss, as defined in the note to table C.1, as afunction of the large exposure limit (expressed as a percentage of tier 1 capital),where a 25 percent limit corresponds to the summary statistics reported in tableC.4. In panel A, banks reinvest into the lowest-risk sovereign bond; in panel B,banks reinvest into a portfolio that is similar to their existing portfolio; in panelC, banks reinvest into the highest-risk sovereign bond.

  • “SA-IJCB-IJCB200032” — 2020/8/28 — page 21 — #21

    Vol. 16 No. 4 Regulating the Doom Loop 21

    Figure C.4. Quantity-Based Reform to Target Credit Risk(end-2010)

    Notes: Using exposures data from end-2010, this figure plots HomeBias, Key-Deviation, ELRate, and ExpectedLoss, as defined in the note to table C.1, as afunction of the large exposure limit (expressed as a percentage of tier 1 capital)for the lowest sovereign credit rating bucket (CCC+ to D), where a 25 percentlimit corresponds to the summary statistics reported in table C.5. In panel A,banks reinvest into the lowest-risk sovereign bond; in panel B, banks reinvest intoa portfolio that is similar to their existing portfolio; in panel C, banks reinvestinto the highest-risk sovereign bond.

  • “SA-IJCB-IJCB200032” — 2020/8/28 — page 22 — #22

    22 International Journal of Central Banking September 2020

    Appendix D. Robustness to Exposure Data from End-2011

    We report simulation results using exposure data from end-2011,when the EBA ran an ad hoc recapitalization exercise designed torestore confidence in the European banking sector. This data vin-tage covers a smaller sample, with 46 banks located in 14 countries.Summary statistics are shown in table D.1. Compared with end-2010 data, banks generally have larger sovereign exposures relativeto capital but maintain a portfolio allocation with lower concentra-tion and credit risk. This is primarily due to sample selection: inthe end-2011 sample, the median bank in terms of ELRate residesin Germany, whereas the median bank in the end-2010 sample isfrom Spain. Consequently, post-reform portfolios appear somewhatmore benign in terms of concentration and credit risk using end-2011 data, although outcomes remain heterogeneous across banks.Compared with mid-2017 data, however, outcomes are more severe,particularly in the imprudent case. This reflects reductions in banks’sovereign exposures between 2011 and 2017.

  • “SA-IJCB-IJCB200032” — 2020/8/28 — page 23 — #23

    Vol. 16 No. 4 Regulating the Doom Loop 23

    Table D.1. Summary Statistics on Bank SovereignExposures (end-2011)

    Mean St. Dev. p10 p25 p50 p75 p90

    Exp/T1 238 228 59 119 175 286 502HomeBias 69 26 29 51 73 93 98HHI 63 25 34 39 66 89 96KeyDeviation 16 5 8 14 16 20 23ELRate 5.6 5.6 1.0 2.0 4.4 7.0 11.5VaR 61 18 36 43 61 79 84ExpectedLoss 13.3 29.2 1.8 3.5 6.7 13.0 21.7UnexpectedLoss 132 115 37 67 102 146 211

    Notes: This table reports summary statistics on banks’ sovereign bond hold-ings as of end-2011 according to the EBA. Exp/T1 refers to a bank’s sover-eign exposure as a percentage of its tier 1 capital. HomeBias is defined as

    Max

    [0, 100 × (hi=d/

    ∑19i=1 hi)−CKi=d

    1−CKi=d

    ], where hi=d is the bank’s holdings of bonds

    issued by its domestic sovereign d,∑19

    i=1 hi is the bank’s sovereign exposures summedacross all 19 euro-area countries, and CKi=d is the ECB capital key share ofdomestic country d. HHI refers to the Herfindahl-Hirschman index of concentra-

    tion, defined as∑19

    i=1(hi/∑19

    i=1 hi)2

    100 . KeyDeviation measures the extent to whicha bank’s portfolio deviates from ECB capital key weights, and is calculated as√ ∑19

    i=1((hi/∑19

    i=1 hi)−CKi)219 . ELRate refers to a bank’s five-year expected loss rate

    (expressed as a percentage) on its sovereign portfolio, and VaR refers to the mini-mum percentage reduction in value that would occur over five years with 1 percentprobability. ExpectedLoss and UnexpectedLoss are calculated by multiplying Exp/T1by ELRate and VaR, respectively.

  • “SA-IJCB-IJCB200032” — 2020/8/28 — page 24 — #24

    24 International Journal of Central Banking September 2020

    Table D.2. Price-Based Reform to TargetConcentration (end-2011)

    Mean St. Dev. p10 p25 p50 p75 p90

    A. Prudent Case

    Exp/T1 238 228 59 119 175 286 502HomeBias 43 30 0 21 42 59 88HHI 41 23 17 24 36 49 80KeyDeviation 13 5 8 10 11 15 19ELRate 4.6 3.8 1.1 2.0 3.9 5.7 9.0VaR 57 15 37 44 57 69 79ExpectedLoss 9.5 11.7 1.8 3.5 6.7 8.8 17.5UnexpectedLoss 125 123 37 67 99 136 193

    B. Base Case

    Exp/T1 238 228 59 119 175 286 502HomeBias 43 29 0 21 42 59 88HHI 42 22 17 26 37 50 80KeyDeviation 13 5 7 8 12 15 20ELRate 5.9 3.9 2.0 3.5 5.0 7.0 10.4VaR 65 13 45 60 63 79 81ExpectedLoss 15.0 20.5 1.8 4.7 9.0 16.7 22.2UnexpectedLoss 156 161 37 67 115 177 350

    C. Imprudent Case

    Exp/T1 238 228 59 119 175 286 502HomeBias 43 29 0 21 42 59 88HHI 41 23 17 23 36 49 80KeyDeviation 14 5 8 10 13 17 20ELRate 10.4 5.9 2.0 5.0 11.2 15.6 17.1VaR 70 14 48 61 72 83 85ExpectedLoss 28.3 27.9 1.8 4.7 19.4 46.2 71.1UnexpectedLoss 171 174 37 67 126 201 378

    Notes: Using exposures data from end-2011, this table shows the simulation resultsfor price-based reform to target concentration in the limiting case of full reinvest-ment. In panel A, banks reinvest into the lowest-risk sovereign bond; in panel B,banks reinvest into a portfolio that is similar to their existing portfolio; in panel C,banks reinvest into the highest-risk sovereign bond. The summary statistics corre-spond to the case of 100 percent reinvestment shown in figure D.1. Variables aredefined in the notes to table D.1.

  • “SA-IJCB-IJCB200032” — 2020/8/28 — page 25 — #25

    Vol. 16 No. 4 Regulating the Doom Loop 25

    Table D.3. Price-Based Reform to TargetCredit Risk (end-2011)

    Mean St. Dev. p10 p25 p50 p75 p90

    A. Prudent Case

    Exp/T1 238 228 59 119 175 286 502HomeBias 48 39 0 0 55 91 97HHI 74 24 38 50 87 95 99KeyDeviation 16 3 11 15 17 18 18ELRate 1.6 1.9 0.5 0.6 0.8 1.5 5.4VaR 42 14 32 33 34 47 67ExpectedLoss 3.1 4.8 0.6 1.0 1.7 2.9 5.6UnexpectedLoss 93 83 31 41 67 118 196

    B. Base Case

    Exp/T1 238 228 59 119 175 286 502HomeBias 51 40 0 0 61 91 97HHI 78 22 39 62 88 97 100KeyDeviation 18 4 14 16 18 22 24ELRate 2.6 2.4 0.5 0.6 1.4 5.0 6.8VaR 51 17 32 33 49 67 75ExpectedLoss 4.4 5.2 1.1 1.4 2.4 5.2 11.7UnexpectedLoss 106 84 33 62 77 131 196

    C. Imprudent Case

    Exp/T1 238 228 59 119 175 286 502HomeBias 44 36 0 0 51 74 93HHI 67 25 35 42 72 92 99KeyDeviation 18 5 11 15 17 23 25ELRate 4.4 2.8 1 1.7 3.4 7.8 8.2VaR 60 17 36 43 61 78 80ExpectedLoss 8.8 8.9 1.8 3.1 5.9 11.7 17.5UnexpectedLoss 129 107 37 67 99 146 211

    Notes: Using exposures data from end-2011, this table shows the simulation resultsfor price-based reform to target credit risk in the limiting case of full reinvestment.In panel A, banks reinvest into the lowest-risk sovereign bond; in panel B, banksreinvest into a portfolio that is similar to their existing portfolio; in panel C, banksreinvest into the highest-risk sovereign bond. The summary statistics correspond tothe case of 100 percent reinvestment shown in figure D.2. Variables are defined in thenotes to table D.1.

  • “SA-IJCB-IJCB200032” — 2020/8/28 — page 26 — #26

    26 International Journal of Central Banking September 2020

    Table D.4. Quantity-Based Reform to TargetConcentration (end-2011)

    Mean St. Dev. p10 p25 p50 p75 p90

    A. Prudent Case

    Exp/T1 238 228 59 119 175 286 502HomeBias 12 16 0 0 7 16 41HHI 16 10 5 8 14 19 36KeyDeviation 8 2 6 7 8 9 13ELRate 3.6 1.8 2.0 2.3 3.1 4.3 6.8VaR 53 7 45 47 52 58 66ExpectedLoss 10.8 16.5 1.7 2.8 4.5 11.8 34.1UnexpectedLoss 137 156 33 54 82 159 332

    B. Base Case

    Exp/T1 238 228 59 119 175 286 502HomeBias 12 16 0 0 7 16 41HHI 17 11 5 9 14 20 36KeyDeviation 8 3 5 7 8 8 14ELRate 6.3 2.7 3.0 4.1 6.7 8.5 9.8VaR 65 8 54 61 66 68 75ExpectedLoss 16.0 16.3 2.0 4.9 15.1 21.2 34.1UnexpectedLoss 155 152 37 69 116 178 332

    C. Imprudent Case

    Exp/T1 238 228 59 119 175 286 502HomeBias 12 16 0 0 7 16 41HHI 16 10 5 9 13 20 34KeyDeviation 10 3 8 8 9 12 14ELRate 11.2 4.0 6.8 8.6 11.0 13.0 16.9VaR 74 9 63 66 74 82 85ExpectedLoss 22.7 14.5 8.7 15.2 21.9 27.9 34.1UnexpectedLoss 171 150 43 81 141 214 332

    Notes: Using exposures data from end-2011, this table shows the simulation resultsfor quantity-based reform to target concentration. In panel A, banks reinvest into thelowest-risk sovereign bond; in panel B, banks reinvest into a portfolio that is similarto their existing portfolio; in panel C, banks reinvest into the highest-risk sovereignbond. The summary statistics correspond to the case of a 25 percent large exposurelimit shown in figure D.3. Variables are defined in the notes to table D.1.

  • “SA-IJCB-IJCB200032” — 2020/8/28 — page 27 — #27

    Vol. 16 No. 4 Regulating the Doom Loop 27

    Table D.5. Quantity-Based Reform to TargetCredit Risk (end-2011)

    Mean St. Dev. p10 p25 p50 p75 p90

    A. Prudent Case

    Exp/T1 238 228 59 119 175 286 502HomeBias 36 26 0 17 35 53 73HHI 37 18 17 23 35 47 59KeyDeviation 12 4 8 9 10 13 17ELRate 3.8 2.5 1.1 2.0 3.6 4.8 6.1VaR 54 11 37 44 55 61 69ExpectedLoss 7.9 9.5 1.8 3.5 5.9 7.6 12.4UnexpectedLoss 119 123 37 67 95 132 193

    B. Base Case

    Exp/T1 238 228 59 119 175 286 502HomeBias 36 25 0 21 35 53 73HHI 37 18 17 24 34 47 59KeyDeviation 11 5 6 8 11 15 18ELRate 5.5 3.5 2.0 3.4 4.8 6.7 9.3VaR 64 12 45 57 61 74 80ExpectedLoss 13.0 14.9 1.8 4.7 8.2 16.7 25.2UnexpectedLoss 150 150 37 67 109 177 295

    C. Imprudent Case

    Exp/T1 238 228 59 119 175 286 502HomeBias 36 25 0 21 35 53 73HHI 34 19 15 20 29 41 58KeyDeviation 12 4 7 9 12 15 17ELRate 10.0 5.6 2.0 5.2 10.0 15.3 17.4VaR 70 14 48 61 70 83 86ExpectedLoss 24.0 19.7 1.8 4.7 25.4 34.4 51.7UnexpectedLoss 168 163 37 67 129 194 363

    Notes: Using exposures data from end-2011, this table shows the simulation resultsfor quantity-based reform to target credit risk. In panel A, banks reinvest into thelowest-risk sovereign bond; in panel B, banks reinvest into a portfolio that is similarto their existing portfolio; in panel C, banks reinvest into the highest-risk sovereignbond. The summary statistics correspond to the case of a 25 percent large exposureomit for the lowest rating bucket shown in figure D.4. Variables are defined in thenotes to table D.1.

  • “SA-IJCB-IJCB200032” — 2020/8/28 — page 28 — #28

    28 International Journal of Central Banking September 2020

    Figure D.1. Price-Based Reform to Target Concentration(end-2011)

    Notes: Using exposures data from end-2011, this figure plots HomeBias, Key-Deviation, ELRate, and ExpectedLoss, as defined in the note to table D.1, as afunction of the percentage of banks’ sovereign bond portfolios that is reinvested.Zero percent reinvestment corresponds to table D.1 and 100 percent reinvestmentcorresponds to table D.2. In panel A, banks reinvest into the lowest-risk sovereignbond; in panel B, banks reinvest into a portfolio that is similar to their existingportfolio; in panel C, banks reinvest into the highest-risk sovereign bond.

  • “SA-IJCB-IJCB200032” — 2020/8/28 — page 29 — #29

    Vol. 16 No. 4 Regulating the Doom Loop 29

    Figure D.2. Price-Based Reform to Target Credit Risk(end-2011)

    Notes: Using exposures data from end-2011, this figure plots HomeBias, Key-Deviation, ELRate, and ExpectedLoss, as defined in the note to table D.1, as afunction of the percentage of banks’ sovereign bond portfolios that is reinvested.Zero percent reinvestment corresponds to table D.1 and 100 percent reinvestmentcorresponds to table D.3. In panel A, banks reinvest into the lowest-risk sovereignbond; in panel B, banks reinvest into a portfolio that is similar to their existingportfolio; in panel C, banks reinvest into the highest-risk sovereign bond.

  • “SA-IJCB-IJCB200032” — 2020/8/28 — page 30 — #30

    30 International Journal of Central Banking September 2020

    Figure D.3. Quantity-Based Reform to TargetConcentration (end-2011)

    Notes: Using exposures data from end-2011, this figure plots HomeBias, Key-Deviation, ELRate, and ExpectedLoss, as defined in the note to table D.1, as afunction of the large exposure limit (expressed as a percentage of tier 1 capital),where a 25 percent limit corresponds to the summary statistics reported in tableD.4. In panel A, banks reinvest into the lowest-risk sovereign bond; in panel B,banks reinvest into a portfolio that is similar to their existing portfolio; in panelC, banks reinvest into the highest-risk sovereign bond.

  • “SA-IJCB-IJCB200032” — 2020/8/28 — page 31 — #31

    Vol. 16 No. 4 Regulating the Doom Loop 31

    Figure D.4. Quantity-Based Reform to Target CreditRisk (end-2011)

    Notes: Using exposures data from end-2011, this figure plots HomeBias, Key-Deviation, ELRate, and ExpectedLoss, as defined in the note to table D.1, as afunction of the large exposure limit (expressed as a percentage of tier 1 capital)for the lowest sovereign credit rating bucket (CCC+ to D), where a 25 percentlimit corresponds to the summary statistics reported in table D.5. In panel A,banks reinvest into the lowest-risk sovereign bond; in panel B, banks reinvest intoa portfolio that is similar to their existing portfolio; in panel C, banks reinvestinto the highest-risk sovereign bond.

  • “SA-IJCB-IJCB200032” — 2020/8/28 — page 32 — #32

    32 International Journal of Central Banking September 2020

    Appendix E. Endogenizing an Area-Wide Low-Risk Asset

    We repeat the simulation exercise using mid-2017 data with oneinnovation: an area-wide low-risk asset exists alongside national sov-ereign bonds in the portfolio opportunity set.

    As explained in the main paper, most outcomes under the twoprice-based approaches—shown in tables E.1 and E.2 and the cor-responding figures E.1 and E.2—are similar to those that obtain inthe absence of an area-wide low-risk asset. Neither of the two price-based reforms embeds strong incentives for banks to reinvest intoan area-wide low-risk asset, since other portfolio allocations can beequally effective at minimizing capital requirements. Consequently,banks reinvest into an area-wide low-risk asset only in the prudentcase; in the other cases, banks generally prefer a different portfolioallocation.

    Under the two quantity-based approaches—reported in tablesE.3 and E.4 and figures E.3 and E.4—banks reliably reallocate theirportfolios in favor of an area-wide low-risk asset only when largeexposure limits are very restrictive. This is because an area-widelow-risk asset allows banks to maintain the aggregate value of theirsovereign portfolio while respecting binding large exposure limitsand avoiding the need for additional capital. However, when largeexposure limits are not restrictive, banks have no regulatory incen-tive to reallocate their portfolios, regardless of the existence of anarea-wide low-risk asset.

  • “SA-IJCB-IJCB200032” — 2020/8/28 — page 33 — #33

    Vol. 16 No. 4 Regulating the Doom Loop 33

    Table E.1. Price-Based Reform to Target Concentration(with an area-wide low-risk asset)

    Mean St. Dev. p10 p25 p50 p75 p90

    A. Prudent Case

    Exp/T1 171 224 41 80 123 194 324HomeBias 44 30 3 18 45 68 82HHI 44 24 19 23 40 57 76KeyDeviation 12 5 6 7 12 16 20ELRate 4.7 5.4 1.1 1.8 3.3 5.7 7.7VaR 56 16 37 43 56 67 80ExpectedLoss 6.1 5.0 1.1 1.6 5.4 9.1 13.6UnexpectedLoss 83 61 22 42 71 112 146

    B. Base Case

    Exp/T1 171 224 41 80 123 194 324HomeBias 42 31 0 15 44 67 82HHI 45 24 18 26 40 58 76KeyDeviation 13 5 7 10 13 16 20ELRate 5.5 5.4 1.4 2.2 4.3 7.2 9.1VaR 63 16 41 50 63 79 82ExpectedLoss 9.6 15.2 1.1 2.0 5.6 12.0 19.8UnexpectedLoss 111 148 22 42 75 133 206

    C. Imprudent Case

    Exp/T1 171 224 41 80 123 194 324HomeBias 42 31 0 15 44 67 82HHI 44 24 18 24 39 58 76KeyDeviation 13 5 7 10 13 16 20ELRate 8.2 7.0 1.5 2.4 6.0 13.8 16.8VaR 66 17 41 51 65 81 87ExpectedLoss 16.9 23.3 1.1 2.0 6.4 19.4 54.5UnexpectedLoss 119 155 22 42 75 145 265

    Notes: This table shows the simulation results for price-based reform to target con-centration in the limiting case of full reinvestment. In panel A, banks reinvest into thelowest-risk sovereign bond; in panel B, banks reinvest into a portfolio that is similarto their existing portfolio; in panel C, banks reinvest into the highest-risk sovereignbond. The summary statistics correspond to the case of 100 percent reinvestmentshown in figure E.1. Variables are defined in the notes to table A.1.

  • “SA-IJCB-IJCB200032” — 2020/8/28 — page 34 — #34

    34 International Journal of Central Banking September 2020

    Table E.2. Price-Based Reform to Target Credit Risk(with an area-wide low-risk asset)

    Mean St. Dev. p10 p25 p50 p75 p90

    A. Prudent Case

    Exp/T1 171 224 41 80 123 194 324HomeBias 27 32 0 0 9 56 78HHI 35 23 17 17 22 51 71KeyDeviation 8 7 0 1 9 15 17ELRate 1.4 1.6 0.4 0.5 0.7 1.5 4.1VaR 36 16 18 19 33 46 60ExpectedLoss 1.9 2.5 0.3 0.6 1.1 1.9 4.7UnexpectedLoss 53 49 14 24 39 66 100

    B. Base Case

    Exp/T1 171 224 41 80 123 194 324HomeBias 33 38 0 0 9 74 87HHI 73 27 33 50 81 100 100KeyDeviation 18 5 11 15 18 22 25ELRate 2.7 2.5 0.6 0.7 1.8 5.5 7.3VaR 53 16 32 35 52 69 77ExpectedLoss 4.6 6.9 0.5 0.9 1.6 5.6 12.1UnexpectedLoss 89 98 22 39 57 105 181

    C. Imprudent Case

    Exp/T1 171 224 41 80 123 194 324HomeBias 26 32 0 0 5 63 78HHI 64 29 21 41 64 97 100KeyDeviation 18 6 9 13 17 24 25ELRate 4.8 2.8 1.2 2.0 4.5 8.0 8.2VaR 63 16 38 48 65 79 80ExpectedLoss 9.9 18.7 1.1 1.6 4.9 11.9 24.7UnexpectedLoss 116 181 22 42 70 130 243

    Notes: This table shows the simulation results for price-based reform to target creditrisk in the limiting case of full reinvestment. In panel A, banks reinvest into the lowest-risk sovereign bond; in panel B, banks reinvest into a portfolio that is similar to theirexisting portfolio; in panel C, banks reinvest into the highest-risk sovereign bond.The summary statistics correspond to the case of 100 percent reinvestment shown infigure E.2. Variables are defined in the notes to table A.1.

  • “SA-IJCB-IJCB200032” — 2020/8/28 — page 35 — #35

    Vol. 16 No. 4 Regulating the Doom Loop 35

    Figure E.1. Price-Based Reform to Target Concentration(with an area-wide low-risk asset)

    Notes: This figure plots HomeBias, KeyDeviation, ELRate, and ExpectedLoss,as defined in the note to table A.1, as a function of the percentage of banks’sovereign bond portfolios that is reinvested. One-hundred percent reinvestmentcorresponds to table E.1. In panel A, banks reinvest into the lowest-risk sovereignbond; in panel B, banks reinvest into a portfolio that is similar to their existingportfolio; in panel C, banks reinvest into the highest-risk sovereign bond.

  • “SA-IJCB-IJCB200032” — 2020/8/28 — page 36 — #36

    36 International Journal of Central Banking September 2020

    Figure E.2. Price-Based Reform to Target Credit Risk(with an area-wide low-risk asset)

    Notes: This figure plots HomeBias, KeyDeviation, ELRate, and ExpectedLoss,as defined in the note to table A.1, as a function of the percentage of banks’sovereign bond portfolios that is reinvested. One-hundred percent reinvestmentcorresponds to table E.2. In panel A, banks reinvest into the lowest-risk sovereignbond; in panel B, banks reinvest into a portfolio that is similar to their existingportfolio; in panel C, banks reinvest into the highest-risk sovereign bond.

  • “SA-IJCB-IJCB200032” — 2020/8/28 — page 37 — #37

    Vol. 16 No. 4 Regulating the Doom Loop 37

    Table E.3. Quantity-Based Reform to TargetConcentration (with an area-wide low-risk asset)

    Mean St. Dev. p10 p25 p50 p75 p90

    A. Prudent Case

    Exp/T1 171 224 41 80 123 194 324HomeBias 14 18 0 0 9 20 31HHI 20 15 8 12 17 23 30KeyDeviation 8 3 5 6 7 9 11ELRate 3.2 3.1 1.3 1.9 2.5 3.3 5.3VaR 48 10 35 42 47 52 57ExpectedLoss 5.0 6.5 0.9 1.4 3.2 5.3 9.6UnexpectedLoss 79 84 20 36 52 94 175

    B. Base Case

    Exp/T1 171 224 41 80 123 194 324HomeBias 13 17 0 0 8 20 31HHI 22 16 8 12 18 25 39KeyDeviation 9 4 5 7 9 11 14ELRate 5.1 4.2 1.7 2.6 4.3 6.1 8.0VaR 62 12 47 55 61 72 78ExpectedLoss 8.0 7.7 1.2 2.7 5.5 11.4 18.5UnexpectedLoss 101 88 25 48 71 129 224

    C. Imprudent Case

    Exp/T1 171 224 41 80 123 194 324HomeBias 13 17 0 0 8 18 29HHI 20 16 8 11 17 23 35KeyDeviation 10 3 6 8 10 11 14ELRate 11.0 5.0 3.9 8.0 11.4 14.3 16.1VaR 71 13 52 64 74 80 85ExpectedLoss 16.1 9.5 2.0 8.4 16.9 22.5 30.3UnexpectedLoss 114 92 27 54 90 151 240

    Notes: This table shows the simulation results for quantity-based reform to targetconcentration. In panel A, banks reinvest into the lowest-risk sovereign bond; in panelB, banks reinvest into a portfolio that is similar to their existing portfolio; in panelC, banks reinvest into the highest-risk sovereign bond. The summary statistics corre-spond to the case of a 25 percent large exposure limit shown in figure E.3. Variablesare defined in the notes to table A.1.

  • “SA-IJCB-IJCB200032” — 2020/8/28 — page 38 — #38

    38 International Journal of Central Banking September 2020

    Table E.4. Quantity-Based Reform to Target Credit Risk(with an area-wide low-risk asset)

    Mean St. Dev. p10 p25 p50 p75 p90

    A. Prudent Case

    Exp/T1 171 224 41 80 123 194 324HomeBias 2 3 0 0 1 3 4HHI 16 2 13 14 16 17 17KeyDeviation 2 2 1 1 1 2 3ELRate 1.0 0.6 0.6 0.6 0.8 1.2 1.7VaR 26 7 20 21 24 27 33ExpectedLoss 1.3 1.0 0.4 0.9 1.2 1.6 2.0UnexpectedLoss 38 42 11 20 29 48 65

    B. Base Case

    Exp/T1 171 224 41 80 123 194 324HomeBias 1 3 0 0 0 2 4HHI 10 4 6 7 9 11 13KeyDeviation 4 3 1 2 4 6 8ELRate 3.1 1.5 1.4 2.0 3.0 4.0 4.6VaR 44 13 27 34 42 54 60ExpectedLoss 3.7 1.4 1.9 3.7 3.8 4.1 4.7UnexpectedLoss 58 43 22 44 52 65 89

    C. Imprudent Case

    Exp/T1 171 224 41 80 123 194 324HomeBias 1 2 0 0 0 1 3HHI 9 3 6 7 9 11 13KeyDeviation 4 3 1 2 4 6 9ELRate 3.7 2.2 1.4 2.0 3.1 4.5 6.7VaR 45 15 27 34 42 55 68ExpectedLoss 3.9 1.2 3.3 3.7 3.9 4.1 4.7UnexpectedLoss 59 43 32 44 52 65 89

    Notes: This table shows the simulation results for quantity-based reform to targetcredit risk. In panel A, banks reinvest into the lowest-risk sovereign bond; in panelB, banks reinvest into a portfolio that is similar to their existing portfolio; in panelC, banks reinvest into the highest-risk sovereign bond. The summary statistics cor-respond to the case of a 25 percent large exposure limit for the lowest rating bucketshown in figure E.4. Variables are defined in the notes to table A.1.

  • “SA-IJCB-IJCB200032” — 2020/8/28 — page 39 — #39

    Vol. 16 No. 4 Regulating the Doom Loop 39

    Figure E.3. Quantity-Based Reform to TargetConcentration (with an area-wide low-risk asset)

    Notes: This figure plots HomeBias, KeyDeviation, ELRate, and ExpectedLoss,as defined in the note to table A.1, as a function of the large exposure limit(expressed as a percentage of tier 1 capital), where a 25 percent limit correspondsto the summary statistics reported in table E.3. In panel A, banks reinvest intothe lowest-risk sovereign bond; in panel B, banks reinvest into a portfolio that issimilar to their existing portfolio; in panel C, banks reinvest into the highest-risksovereign bond.

  • “SA-IJCB-IJCB200032” — 2020/8/28 — page 40 — #40

    40 International Journal of Central Banking September 2020

    Figure E.4. Quantity-Based Reform to Target Credit Risk(with an area-wide low-risk asset)

    Notes: This figure plots HomeBias, KeyDeviation, ELRate, and ExpectedLoss,as defined in the note to table A.1, as a function of the large exposure limit(expressed as a percentage of tier 1 capital) for the lowest sovereign credit rat-ing bucket (CCC+ to D), where a 25 percent limit corresponds to the summarystatistics reported in table E.4. In panel A, banks reinvest into the lowest-risksovereign bond; in panel B, banks reinvest into a portfolio that is similar to theirexisting portfolio; in panel C, banks reinvest into the highest-risk sovereign bond.

  • “SA-IJCB-IJCB200032” — 2020/8/28 — page 41 — #41

    Vol. 16 No. 4 Regulating the Doom Loop 41

    Appendix F. Area-Wide Low-Risk Asset with aRisk-Weight Floor

    We repeat the simulation exercise for price-based reforms using mid-2017 data with two innovations: (i) an area-wide low-risk asset existsalongside national sovereign bonds in the portfolio opportunity setand (ii) a minimum positive risk weight is imposed on all single-namesovereign exposures. Under these conditions, the results reported intables F.1 and F.2 and figures F.1 and F.2 indicate that the prudent,base, and imprudent cases generate identical outcomes, with banksreallocating their portfolios in favor of the area-wide low-risk asset.With 100 percent reallocation, sovereign portfolios consist exclu-sively of the area-wide low-risk asset, which is characterized by lowconcentration and low credit risk. The explanation for this find-ing is that a sovereign portfolio comprised of an area-wide low-riskasset always represents the unique solution to banks’ constrainedoptimization problem, regardless of the reallocation rule that theyadopt.

  • “SA-IJCB-IJCB200032” — 2020/8/28 — page 42 — #42

    42 International Journal of Central Banking September 2020

    Table F.1. Price-Based Reform to Target Concentration(with an area-wide low-risk asset and

    positive risk-weight floor)

    Mean St. Dev. p10 p25 p50 p75 p90

    A. Prudent Case

    Exp/T1 171 224 41 80 123 194 324HomeBias 0 0 0 0 0 1 1HHI 17 0 17 17 17 17 17KeyDeviation 0 0 0 0 0 0 0ELRate 0.4 0.0 0.4 0.4 0.4 0.4 0.4VaR 18 0 18 18 18 18 18ExpectedLoss 0.7 0.9 0.2 0.3 0.5 0.8 1.4UnexpectedLoss 31 41 8 15 23 36 60

    B. Base Case

    Exp/T1 171 224 41 80 123 194 324HomeBias 0 0 0 0 0 1 1HHI 17 0 17 17 17 17 17KeyDeviation 0 0 0 0 0 0 0ELRate 0.4 0.0 0.4 0.4 0.4 0.4 0.4VaR 18 0 18 18 18 18 18ExpectedLoss 0.7 0.9 0.2 0.3 0.5 0.8 1.4UnexpectedLoss 31 41 8 15 23 36 60

    C. Imprudent Case

    Exp/T1 171 224 41 80 123 194 324HomeBias 0 0 0 0 0 1 1HHI 17 0 17 17 17 17 17KeyDeviation 0 0 0 0 0 0 0ELRate 0.4 0.0 0.4 0.4 0.4 0.4 0.4VaR 18 0 18 18 18 18 18ExpectedLoss 0.7 0.9 0.2 0.3 0.5 0.8 1.4UnexpectedLoss 31 41 8 15 23 36 60

    Notes: This table shows the simulation results for price-based reform to target con-centration in the limiting case of full reallocation. In panel A, banks reinvest into thelowest-risk sovereign bond; in panel B, banks reinvest into a portfolio that is similarto their existing portfolio; in panel C, banks reinvest into the highest-risk sovereignbond. The summary statistics correspond to the case of 100 percent reallocationshown in figure F.1. Variables are defined in the notes to table A.1.

  • “SA-IJCB-IJCB200032” — 2020/8/28 — page 43 — #43

    Vol. 16 No. 4 Regulating the Doom Loop 43

    Table F.2. Price-Based Reform to Target Credit Risk(with an area-wide low-risk asset and

    positive risk-weight floor)

    Mean St. Dev. p10 p25 p50 p75 p90

    A. Prudent Case

    Exp/T1 171 224 41 80 123 194 324HomeBias 0 0 0 0 0 1 1HHI 17 0 17 17 17 17 17KeyDeviation 0 0 0 0 0 0 0ELRate 0.4 0.0 0.4 0.4 0.4 0.4 0.4VaR 18 0 18 18 18 18 18UnexpectedLoss 31 41 8 15 23 36 60

    B. Base Case

    Exp/T1 171 224 41 80 123 194 324HomeBias 0 0 0 0 0 1 1HHI 17 0 17 17 17 17 17KeyDeviation 0 0 0 0 0 0 0ELRate 0.4 0.0 0.4 0.4 0.4 0.4 0.4VaR 18 0 18 18 18 18 18UnexpectedLoss 31 41 8 15 23 36 60

    C. Imprudent Case

    Exp/T1 171 224 41 80 123 194 324HomeBias 0 0 0 0 0 1 1HHI 17 0 17 17 17 17 17KeyDeviation 0 0 0 0 0 0 0ELRate 0.4 0.0 0.4 0.4 0.4 0.4 0.4VaR 18 0 18 18 18 18 18UnexpectedLoss 31 41 8 15 23 36 60

    Notes: This table shows the simulation results for price-based reform to target creditrisk in the limiting case of full reallocation. In panel A, banks reinvest into the lowest-risk sovereign bond; in panel B, banks reinvest into a portfolio that is similar to theirexisting portfolio; in panel C, banks reinvest into the highest-risk sovereign bond.The summary statistics correspond to the case of 100 percent reallocation shown infigure F.2. Variables are defined in the notes to table A.1.

  • “SA-IJCB-IJCB200032” — 2020/8/28 — page 44 — #44

    44 International Journal of Central Banking September 2020

    Figure F.1. Price-Based Reform to Target Concentration(with an area-wide low-risk asset and positive

    risk-weight floor)

    Notes: This figure plots HomeBias, KeyDeviation, ELRate, and ExpectedLoss,as defined in the note to table A.1, as a function of the percentage of banks’sovereign bond portfolios that is reinvested. One-hundred percent reinvestmentcorresponds to table F.1. In panel A, banks reinvest into the lowest-risk sovereignbond; in panel B, banks reinvest into a portfolio that is similar to their existingportfolio; in panel C, banks reinvest into the highest-risk sovereign bond.

  • “SA-IJCB-IJCB200032” — 2020/8/28 — page 45 — #45

    Vol. 16 No. 4 Regulating the Doom Loop 45

    Figure F.2. Price-Based Reform to Target Credit Risk(with an area-wide low-risk asset and positive

    risk-weight floor)

    Notes: This figure plots HomeBias, KeyDeviation, ELRate, and ExpectedLoss,as defined in the note to table A.1, as a function of the percentage of banks’sovereign bond portfolios that is reinvested. One-hundred percent reinvestmentcorresponds to table F.2. In panel A, banks reinvest into the lowest-risk sovereignbond; in panel B, banks reinvest into a portfolio