State Street Pulse Survey - State Street Corporation...Several types of firms may carve up the...
Transcript of State Street Pulse Survey - State Street Corporation...Several types of firms may carve up the...
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1Information Classification: General
Information Classification: General
December 2019
State Street
Pulse Survey
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2Information Classification: General
Executive Summary
The survey results are based on 102 responses from asset managers and asset owners. The firms represented are primarily large (more than $100 billion under
management) and based in the United States. All respondents serve in investment management, investment operations or executive functions. We conducted this
research in partnership with Oxford Economics.
• Approximately one-third (32 percent) of respondents have a bearish global markets outlook for 2020
• Nearly half (47 percent) say semi-transparent ETFs will play a significant role in their firm’s future portfolio strategy
• Social media/web scraping was cited as the No. 1 alternative data source for providing a competitive edge
Trading
• More than a quarter (27 percent) plan to increase the amount of outsourced trading
• 62 percent say distributed ledger technology (DLT) will be integrated into their trading process in the next year. Half say the same for artificial intelligence (AI).
Financing
• Half of respondents say their firm is investigating cleared repo, securities lending and new trading solutions
• Only 44 percent say they are prepared for the new collateral requirements under the uncleared margin rules
• 65 percent say DLT will improve financing solutions in the future. 59 percent say the same for AI.
Digital Assets
• Only 6 percent say they have no digital assets-related investments and no plans to invest, 38 percent say they will increase their allocation and 45 percent say
their allocation will stay the same
• 45 percent say the tokenization of traditional assets will be a massive disruption to the market within the next five years, yet 55 percent say tokenized assets’
inherent risks are too great for widespread institutional adoption
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3Information Classification: General
Only 56 percent of institutions describe their 2020 outlook as bullish …Which best describes your outlook for global markets in 2020?
Global
markets in
2020
n = 102
Very bearish
6%
Somewhat bearish
26%
Neutral (flat market)
12%
Somewhat bullish
38%
Very bullish
18%
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4Information Classification: General
$1B to $99.99B n = 30; $100B to $499.99B n = 59; $500B or more n = 13
… but the largest institutions seem more sanguine than smaller onesWhich best describes your outlook for global markets in 2020?
10%
47%
13%
20%
10%
3%
19%
12%
49%
17%
8%
15%
8%
31%
38%
Very bearish Somewhat bearish Neutral (flat market) Somewhat bullish Very bullish
$1B to $99.99B $100B to $499.99B $500B or more
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5Information Classification: General
n = 102
Many foresee a bigger role for non/semi-transparent ETFs …To what extent do you agree with the following statements?
Semi-transparent ETFs
are set to play a
significant role in my
firm’s future portfolio
strategy
20%
disagree
Semi-transparent ETFs
will help to stem the
flow of assets from
active investments to
passive
Semi-
transparent ETFs will
largely replace
traditional open-end
mutual funds in the
marketplace, because
they offer similar
advantages with
greater tax efficiency
and lower cost
14%
disagree20%
disagree
47%
agree
46%
agree
45%
agree
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6Information Classification: General
… and large institutions express the most enthusiasmTo what extent do you agree with the following statements?
77%
85%
85%
44%
49%
46%
33%
23%
33%
Non/semi-transparent ETFs will largely replace traditional open-endmutual funds in the marketplace, because they offer similar
advantages with greater tax efficiency and lower cost
Non/semi-transparent ETFs will help to stem the flow of assets fromactive investments to passive
Non/semi-transparent ETFs are set to play a significant role in myfirm's future portfolio strategy
$1B to $99.99B $100B to $499.99B $500B or more
$1B to $99.99B n = 30; $100B to $499.99B n = 59; $500B or more n = 13
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7Information Classification: General
More than 60 percent outsource some or all of their trading …Which statement best describes how your institution handles trading?
24%Not applicable
21%We outsource all of our
trading to an external partner
14%We handle all of our
trading in-house
41%We outsource some of
our trading to an
external partner
n = 102
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8Information Classification: General
$1B to $99.99B n = 30; $100B to $499.99B n = 59; $500B or more n = 13
… with the largest institutions more likely to handle all trading in-houseWhich statement best describes how your institution handles trading?
30%
40%
30%
12%
53%
15%
20%
54%
15%
31%
We handle all of our trading in-house We outsource some of our trading to anexternal partner
We outsource all of our trading to anexternal partner
Not applicable
$1B to $99.99B $100B to $499.99B $500B or more
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9Information Classification: General
More than a quarter plan to outsource more trading activity …Do you have any plans to change your approach to trading?
n = 102
Not applicable We do not anticipate any
changes in the amount of
trading activity we outsource
We plan to
outsource less
trading activity
We plan to
outsource more
trading activity
25% 33%
15% 27%
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10Information Classification: General
21%
41%14%
25%
We outsource all of our trading to an external partner
We outsource some of our trading to an external partner
We handle all of our trading in-house
Not applicable
… especially those that already outsource some of itWhich statement best describes how your institution handles trading? / Do you have any plans to change your
approach to trading?
n = 102
5%
90%
5%
More outsourcing
No change
Less outsourcing
55%
17%
29%
More outsourcing
No change
Less outsourcing
29%
57%
14%
More outsourcing
No change
Less outsourcing
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11Information Classification: General
62%Distributed ledger technology/blockchain
50%Artificial intelligence/machine learning
31%Robotic process automation (RPA)
24%Natural language processing
Blockchain and AI take priority in trading technology upgrades …Which technologies will your firm integrate into your trading process over the next year?
n = 102
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12Information Classification: General
… and are considered likely to improve future financing solutions …To what extent do you agree with the following statements regarding your financing needs?
n = 102
65% 59% 50% 44%
Distributed ledger
technology will improve
financing solutions in the
future
Artificial intelligence will
improve financing
solutions in the future
My firm is investigating
cleared repo, securities
lending and new trading
solutions to improve
access to financing and/or
enable better investment
outcomes
My firm is prepared for
upcoming new collateral
requirements under the
Uncleared Margin Rules
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13Information Classification: General
… especially among the largest institutionsTo what extent do you agree with the following statements regarding your financing needs?
62%
85%
85%
92%
56%
46%
64%
61%
33%
23%
37%
60%
My firm is investigating cleared repo, securities lending and newtrading solutions to improve access to financing and/or enable
better investment outcomes
My firm is prepared for upcoming new collateral requirements underthe uncleared marging rules
Artificial intelligence will improve financing solutions in the future
Distributed ledger technology will improve financing solutions inthe future
$1B to $99.99B $100B to $499.99B $500B or more
$1B to $99.99B n = 30; $100B to $499.99B n = 59; $500B or more n = 13
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14Information Classification: General
Social media or web scraping seen as the most useful alternative dataOf the following alternative data sets, which do you think is most likely to give your organization a
competitive edge?
n = 102
Social media/web scraping
Credit/debit transaction data
ESG metrics
Geo-location/satellite data
Supply chain/transportation/logistics data
We don't find alternative data useful
30%
22%
20%
16%
10%
2%
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15Information Classification: General
6%We don’t have
any allocation and
we have no plans
to invest
45%Our allocation
will stay the
same
38%We will increase
our allocation
11%We will
decrease our
allocation
94 percent already hold digital assets or related products…How will your allocation to digital assets, crypto-funds, or related products (e.g., bitcoin futures) change
in 2020?
n = 102
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16Information Classification: General
$1B to $99.99B n = 30; $100B to $499.99B n = 59; $500B or more n = 13
… and more than two-thirds of the largest firms plan to boost allocationsHow will your allocation to digital assets, crypto-funds, or related products (e.g., bitcoin futures) change
in 2020?
33%
37%
20%
10%
34%
53%
8%5%
69%
31%
We will increase our allocation Our allocation will stay the same We will decrease our allocation We don't have any allocation and we haveno plans to invest
$1B to $99.99B $100B to $499.99B $500B or more
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17Information Classification: General
Many expect tokenization to improve risk management, efficiency and moreWhat are the primary benefits of tokenizing traditional financial assets?
n = 102
I don’t see any
benefits from
tokenization
Tokenization
increases
liquidity
Tokenization will
democratize
investing for
retail investors
Tokenization
improves
transparency
Tokenization
increases
efficiency
Tokenization
will enhance
security
Tokenization
improves risk
management
4%
54%
55%55%
62%
36% 36%
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18Information Classification: General
Several types of firms may carve up the digital-asset custody market …Which type of company do you expect will dominate custody of digital assets in the future?
n = 102
FinTechs/digital-first
startups
Broker/dealers
Asset exchanges
Asset owners
(self-custody)
Established,
traditional custody
providers
Asset managers
25%
24%
21%
5%
12%
13%
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19Information Classification: General
$1B to $99.99B n = 30; $100B to $499.99B n = 59; $500B or more n = 13
… but large institutions predict FinTechs will claim the biggest shareWhich type of company do you expect will dominate custody of digital assets in the future?
13%
50%
17%
27%
13%
7%
24%
17%
25%
12%
5%
62%
8%
23%
8%
Fintechs/digital-first startups Broker/dealers Asset exchanges Asset managers Established, traditionalcustody providers
Asset owners (self-custody)
$1B to $99.99B $100B to $499.99B $500B or more
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20Information Classification: General
Institutional investors have mixed opinions about digital assetsTo what extent do you agree with the following statements?
n = 102
Tokenized assets have
great potential, but their
inherent risks are too
great for widespread
institutional adoption
Institutions and
regulators will become
more comfortable with
tokenized traditional
assets (and other forms
of tokens) in the
year ahead
A bitcoin ETF (or other
cryptocurrency ETF) will
receive regulatory
approval and launch
in 2020
Lack of regulatory
clarity/guidance around
digital assets is the
greatest barrier to
implementation/adoption
The tokenization of
traditional assets will be
a massive disruption to
the market within the
next five years
55% 54% 45% 45% 45%
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21Information Classification: General
Survey demographics
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22Information Classification: General
Investment management Investment operations
and/or technology
Executive management with oversight
of multiple functions
29%
34% 37%
Survey demographicsWhat is your functional role?
n = 102
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23Information Classification: General
Survey demographicsIn what country are you based?
n = 102
Canada
10%
United States
85%
Mexico
5%
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24Information Classification: General
Asset manager
17%
Insurance company
17%
Hedge fund
15%
Pension/retirement fund
13%
Private equity manager
12%
Sovereign wealth fund or
central bank
10%
Endowment, charity or
foundation
11%
Real assets manager
7%
Survey demographicsWhat type of financial institution do you work for?
n = 102
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25Information Classification: General
n = 102
Survey demographicsWhat are your institution’s total assets under management today?
4%
11%
15%
58%
13%
$1B to $9.99B $10B to $49.99B $50B to $99.99B $100B to $499.99B $500B or more
Mean AUM = $252B
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26Information Classification: General
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