Volatile Capital Flows: Monitoring Systemic Risks

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DiSIA DIPARTIMENTO DI STATISTICA, INFORMATICA, APPLICAZIONI "GIUSEPPE PARENTI" Volatile Capital Flows: Monitoring Systemic Risks Giampiero M. Gallo DiSIA Università di Firenze, Italy [email protected] South East Europe in an Environment of Volatile Capital Flows CBBH Sarajevo June 6, 2014

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Volatile Capital Flows: Monitoring Systemic Risks. Giampiero M. Gallo DiSIA Università di Firenze, Italy [email protected]. South East Europe in an Environment of Volatile Capital Flows CBBH Sarajevo June 6, 2014. Concentrate on Potential Global Factors. - PowerPoint PPT Presentation

Transcript of Volatile Capital Flows: Monitoring Systemic Risks

Page 1: Volatile Capital Flows: Monitoring Systemic Risks

DiSIADIPARTIMENTO DI STATISTICA,INFORMATICA, APPLICAZIONI "GIUSEPPE PARENTI"

Volatile Capital Flows:Monitoring Systemic Risks

Giampiero M. Gallo

DiSIA

Università di Firenze, Italy

[email protected]

South East Europe in an Environment of Volatile Capital FlowsCBBH Sarajevo June 6, 2014

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DiSIADIPARTIMENTO DI STATISTICA,INFORMATICA, APPLICAZIONI "GIUSEPPE PARENTI"

Concentrate on Potential Global Factors

• Main view: EMs (hence SEE) suffer from cascading effects, possibly dominating domestic factors

• Domestic financing needs crucially depend on international capital market conditions• Government needs

• Market yields depend on evolution of risk premia (domestic –debt, deficit, growth, inflation - and external factors)

• Financing needs for domestically operating financial institutions (composition across equity, deposits, debt)

• Financing needs for the economy (credit, money and capital markets – level of development of such markets?): recent phenomenon of huge excess reserves by banks

• Lessons for regulations (e.g. carry trade)

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DiSIADIPARTIMENTO DI STATISTICA,INFORMATICA, APPLICAZIONI "GIUSEPPE PARENTI"

Public and Corporate Debt Management in EM

• Overall improvement in the management of debt• Extend time to maturity• Reduce exposure in foreign currency• Reduce floating rate exposure• Better awareness of controlling public spending

• On the demand side: rising foreign participation• Broader investment base (reduce funding costs, risk

diversification)• Capital outflows related to reactions to global news

• Need to track • Investors’ base and • Systemic risks

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DiSIADIPARTIMENTO DI STATISTICA,INFORMATICA, APPLICAZIONI "GIUSEPPE PARENTI"

Investors’ Base for Sovereigns (Arslanap and Tsuda, 2014)

• Shifts in the composition of the investor base can have implications for governments’ borrowing costs

• A rising share of foreign investors in the investor base can make borrowers more sensitive to external funding conditions

• A high share of domestic banks in the investor base may jeopardize domestic financial stability

• A diverse investor base, reflecting different investor characteristics in terms of risk tolerance and trading motives, may increase the liquidity of government debt securities in the secondary market (may be limited if herding effects)

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DiSIADIPARTIMENTO DI STATISTICA,INFORMATICA, APPLICAZIONI "GIUSEPPE PARENTI"

Monitoring Investors’ Base Composition

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DiSIADIPARTIMENTO DI STATISTICA,INFORMATICA, APPLICAZIONI "GIUSEPPE PARENTI"

Different Compositions, Different Risks

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DiSIADIPARTIMENTO DI STATISTICA,INFORMATICA, APPLICAZIONI "GIUSEPPE PARENTI"

The Interdependences at Stake

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DiSIADIPARTIMENTO DI STATISTICA,INFORMATICA, APPLICAZIONI "GIUSEPPE PARENTI"

Ingredients of a Monitoring System

Monitor what affects investors’ portfolio choices by type of investor (leading indicators of impending shifts)

•Sovereign Bonds (yields, spreads and volatility)

•Corporate Bonds (yields, spreads and volatility)

•Equities (volatilities and spreads in volatilities)

•Correlations across asset classes

•Systemic Important Financial Institutions:• Estimation of Marginal Expected Shortfall• Capital Shortfall vs volatility• Estimation of SRISK and ranking of SIFIs

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DiSIADIPARTIMENTO DI STATISTICA,INFORMATICA, APPLICAZIONI "GIUSEPPE PARENTI"

US Corporate Risk

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0

1

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2006 2007 2008 2009 2010 2011 2012 2013 2014

AAA BAA

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DiSIADIPARTIMENTO DI STATISTICA,INFORMATICA, APPLICAZIONI "GIUSEPPE PARENTI"

Country Risk

0

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I II III IV I II III IV I II III IV I II III IV I II III IV I II III IV

2008 2009 2010 2011 2012 2013

GRE_GER IRL_GER ITA_GERPOR_GER SPA_GER

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DiSIADIPARTIMENTO DI STATISTICA,INFORMATICA, APPLICAZIONI "GIUSEPPE PARENTI"

Spillover Effects

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DiSIADIPARTIMENTO DI STATISTICA,INFORMATICA, APPLICAZIONI "GIUSEPPE PARENTI"

Monitoring Systemic Risk

• Two main common features behind systemic risk: • initial impairment to the financial system• consequent spillover to the real economy

• Soundness of individual institutions is a necessary, but not a sufficient condition to guarantee systemic stability

• Monitoring market volatility as a potential source of transmission channel but it is the joint distribution of asset returns that matters, mainly the tail dependence.

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DiSIADIPARTIMENTO DI STATISTICA,INFORMATICA, APPLICAZIONI "GIUSEPPE PARENTI"

The Fear Index and the Fear Premium

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DiSIADIPARTIMENTO DI STATISTICA,INFORMATICA, APPLICAZIONI "GIUSEPPE PARENTI"

Correlation across Asset Classes

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DiSIADIPARTIMENTO DI STATISTICA,INFORMATICA, APPLICAZIONI "GIUSEPPE PARENTI"

Systemic Important Financial Institutions

Characteristics

•their big size,

•their scant substitutability as service providers, and

•their extremely high interconnectedness that greatly contributes to spread out individual vulnerabilities

Relevance for the debate today

•Monitoring the SIFI’s risk dynamics has implications for the volatility of Capital Flows

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DiSIADIPARTIMENTO DI STATISTICA,INFORMATICA, APPLICAZIONI "GIUSEPPE PARENTI"

Beyond VaR

• The CoVaR (Adrian and Brunnermeier, is the VaR of one financial institution conditional on the whole system being in distress.

• The difference between the CoVaR and the unconditional VaR of the financial system gives the marginal contribution of that particular institution to systemic risk.

• Key point: some institutions can have a low VaR, but a high CoVaR. This is why the simple VaR is not a sufficient measure to evaluate the systemic riskiness of financial institutions.

• CoVar has complement in Marginal Expected Shortfall

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DiSIADIPARTIMENTO DI STATISTICA,INFORMATICA, APPLICAZIONI "GIUSEPPE PARENTI"

Acharya, Engle and Richardson (2012)

• Systemic risk should not be described in terms of a financial firm’s failure per se but in the context of a firm’s overall contribution to system‐wide failure.

• When only an individual financial firm’s capital is low, the firm can no longer financially intermediate. This has minimal consequences though because other financial firms can fill in for the failed firm’s void.

• When capital is low in the aggregate, however, it is not possible for other financial firms to step into the breach. This breakdown in aggregate financial intermediation is the reason there are severe consequences for the broader economy.

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DiSIADIPARTIMENTO DI STATISTICA,INFORMATICA, APPLICAZIONI "GIUSEPPE PARENTI"

Capital Shortfall as a Source of Volatile Capital Flows

• Real systemic risk of a firm = • Real social costs of a crisis per dollar of capital shortage

times• Probability of a crisis i.e., an aggregate capital shortfall times• Expected capital shortfall of the firm in a crisis

• Expected capital shortfall captures in a single measure many of the characteristics considered important for systemic risk such as size, leverage, and interconnectedness

• Alternative or complement to stress tests

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DiSIADIPARTIMENTO DI STATISTICA,INFORMATICA, APPLICAZIONI "GIUSEPPE PARENTI"

Methodology

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• Market volatility and Firm’s Volatility

• Econometric models for volatility and correlations

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DiSIADIPARTIMENTO DI STATISTICA,INFORMATICA, APPLICAZIONI "GIUSEPPE PARENTI"

Evaluating Losses under Crisis Scenarios

• To calculate the systemic risk, this system first evaluates the losses that an equity holder would face if there is a future crisis.

• To do this, the system is simulated for six months into the future many times.

• The most pessimistic scenarios for the market return are treated as Crisis scenarios

• The expected loss of equity value of firm i is called the Long Run Marginal Expected Shortfall or LRMES. This is just the average of the fractional returns of the firm’s equity in the crisis scenarios.

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DiSIADIPARTIMENTO DI STATISTICA,INFORMATICA, APPLICAZIONI "GIUSEPPE PARENTI"

Construction of SRISK from Balance Sheets

• Capital shortfall with a prudential capital ratio of k

• If SRISK=0

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DiSIADIPARTIMENTO DI STATISTICA,INFORMATICA, APPLICAZIONI "GIUSEPPE PARENTI"

SRISK for Deutsche Bank

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DiSIADIPARTIMENTO DI STATISTICA,INFORMATICA, APPLICAZIONI "GIUSEPPE PARENTI"

Volatility for Deutsche Bank

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DiSIADIPARTIMENTO DI STATISTICA,INFORMATICA, APPLICAZIONI "GIUSEPPE PARENTI"

Rankings as of May 30, 2014

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DiSIADIPARTIMENTO DI STATISTICA,INFORMATICA, APPLICAZIONI "GIUSEPPE PARENTI"

A Silver Lining?

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DiSIADIPARTIMENTO DI STATISTICA,INFORMATICA, APPLICAZIONI "GIUSEPPE PARENTI"

Implications for SEE

• Use the monitoring system to evaluate the relevance of indicators for the specific domestic banking/capital market dynamics

• Monitoring SRISK for major European SEFIs may signal impending reversals in global strategies

• Compare differences across SEE countries to isolate possible institutional differences

• Indications for regulatory scenarios

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