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Dong He
Deputy Director
Monetary and Capital Markets Department
Global Financial Stability Report April 2015
Chapter 3
The Asset Management Industry and Financial Stability
Prepared by Hiroko Oura (team leader), Nicolas Arregui, Jonathan Beauchamp, Rina Bhattacharya, Antoine Bouveret, Cristina Cuervo, Pragyan Deb, Jennifer Elliott, Hibiki Ichiue, Bradley Jones, Yoon Kim, Joe Maloney, Win Monroe, Martin Saldias, Nico Valckx and Min-Jer Lee.
Motivation
• Rapid growth of the industry
• Growth of bond funds
• Movement into less-liquid assets (October 2014 GFSR)
• Retrenchment by banks from market making
Roadmap
• Industry Background
• Conceptual Risk Channels
• Empirical Analysis
• Policy Discussion and Recommendations
Structure of Asset Management Industry
Separate
account
36%
Open-end
mutual funds
41%
Closed-end
mutual funds
1%
Money market
funds
8%
Exchange-
traded funds
4%
Private equity
5%
Hedge funds
3%
Other
alternatives
2%
1. Asset Managers' Intermediation by Investment Vehicles
(Percent of $79 trillion total assets under management, end-2013)
Sources: BarclayHedge; European Fund and Asset Mangement Association; ETFGI; OECD; Preqin; Pension
and Investments Towers Watson; and IMF staff estimates.
Mutual Funds—domiciled in U.S. and Europe, but global investment
United States
49%
Japan
3%
Other
developed
9%
Brazil
3% China
2%
Other emerging
markets 4%
Luxembourg
10%
Ireland 5%
France 5%
United Kingdom
4%
Other
developed
Europe 7%
Developed
Europe 31%
Sources: European Fund and Asset Management Association; and IMF staff calculations.
Key Domiciles of Mutual Funds
(Mutual funds by domicile, percent of total assets under management,
end 2014)
Operation of a Fund
Key Known Risks
Known issues
• Hedge funds—leverage, insolvency, complexity
• MMF—constant net asset value NAV (= money-like liability), link to bank funding
…do not apply to MF, ETF
• Little borrowing
• Portfolio leverage capped
• No constant NAV
• Little insolvency risk: liabilities are “shares”—return and losses absorbed fully by investors
8
What are the risks from less leveraged “plain-vanilla” products?
9
Incentive
problems of
delegated
investment
Run risk
Price
externalities—
fire sales,
contagion,
volatility
Macro-
financial
consequences
First Mover Advantage •Liquidity mismatch
• Managers sell liquid assets first
• Some fund share pricing rules impose
cost of liquidity risk unfairly to second
movers
Information gap between managers
and investors
• Benchmark based evaluation
→Excessive risk taking
→Herding
• Brand name effects( Spillovers of
redemptions within fund family)
Does mutual fund investment matter for asset price dynamics? –Yes
• Do aggregate mutual fund flows affect aggregate price indices?
– Yes—for smaller, less liquid markets (EM assets, HY US corporate bonds) . Flows also help predict future returns first-mover advantage
– Less clear for U.S. equity, U.S. broad bond funds
• Concentrated holding by mutual fund—bad for bond spreads during 2008 crisis and 2013
10
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.1
0.5
0.9
1.4
2.0
2.6
3.2
3.8
4.4
5.1
5.7
6.4
7.1
7.9
9.1
10.6
12.1
14.0
17.0
37.4
Bonds Issued by Emerging Market and Developing Economies,
2013:Q1 and 2013:Q2
Concentration
Ch
an
ge in
cre
dit
sp
read
s, %
More concentration
What drives run risk? (1)
• Past returns and flight to quality
12
What drives run risk? (2)
• Some brand name effects, albeit weak
13
What can mitigate run risk ? (1) Holding cash in line with funds’ liquidity risk
-1.5
-1.0
-0.5
0.0
0.5
1.0
1.5
2.0
Institutional Liquid subgroup Illiquid subgroup Flow Volatility
Sensitivity to a 1
standard
deviation increase
in volatility
Equity funds Bond funds
3. Differences in Cash Holdings across Funds
(In percent of total net assets)
Relatively less cash holdings compared to other funds
Relatively more cash holdings compared to other
funds
What can mitigate run risk? (2) Fees are effective in dampening redemptions
-35
-30
-25
-20
-15
-10
-5
0
5
2008 Equity Funds 2013 EM Bond Funds 2013 EM Equity
FundsCh
an
ge o
f avera
ge f
un
d f
low
s b
efo
re a
nd
du
rin
g
stre
ss e
pis
od
es,
in
perc
en
t o
f to
tal n
et
ass
ets
Stress episodes
Funds with low redemption fees
Funds with high redemption fees
3. Redemptions during Stress Times, by Redemption Fee Levels
Higher fees when investing in illiquid assets
… but fees have been declining
0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
4.0
4.5
Dec-
01
Jan
-03
Feb
-04
Mar-
05
Ap
r-06
May-0
7
Jun
-08
Jul-
09
Au
g-1
0
Sep
-11
Oct
-12
No
v-1
3
Feb
-02
Mar-
03
Ap
r-04
May-0
5
Jun
-06
Jul-
07
Au
g-0
8
Sep
-09
Oct
-10
No
v-1
1
Dec-
12
Jan
-14
Bonds Equity
Purchase Fee Redemption Fee
4. Trend of Mutal Fund Fees
(Simple average, in percent)
Does asset managers’ behavior amplify risks? (1) Incentives for excessive risk taking
-0.6
-0.4
-0.2
0.0
0.2
0.4
0.6
0.8
1.0
1.2
-2.0 -1.7 -1.4 -1.1 -0.8 -0.5 -0.2 0.1 0.4 0.7 1.0 1.3 1.6 1.9 2.2 2.5
Mo
nth
ly fu
nd
flo
ws,
perc
en
t o
f to
tal n
et
ass
ets
Fund's monthly excess return over benchmark, in percent
Bond fund Equity fund
US Mutual Funds: "Convex" fund flow-performance relationship
Does asset managers’ behavior amplify risks? (2a) Herding
0%
2%
4%
6%
8%
10%
12%
14%
16%
18%
20%
S&P 500 U.S. equity HG bond HY bond EM equity EM debt
End 2009 Mid 2014
1. Average Measure of Herding by Security Type
(Mean across securities, four-quarter average)
More herding
Retail funds herd more than institutional funds
Contribution to systemic risk (1) Investment focus seems matter relatively more than size
0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
4.0
4.5
AE
Sovereign
bonds
AE Corp.
bonds
EM Bonds AE Equity EM Equity
1. Average Contribution to Systemic Risk, by
Investment Focus (in percent)
Contribution to systemic risk (2) Contribution not related to AMC’s size
Is current oversight framework sufficient to manage potential financial stability risks?--NO
• Focus on investor protection
• Regulation lacking specificity
– Liquidity requirements
– IOSCO principles—high-level principle-based requirements
• Hands-off supervision
– No international guidance on supervision
– Varying practices across jurisdictions
(One of the) Recommendations
Recommendations
• More “hands-on” microprudential supervision of risks
– Regulators’ own risk analysis, stress testing
– Better data (derivatives, securities lending)
• Incorporate macroprudential views (focus on systemic risk)
Recommendations
• Improve liquidity requirements
– Better definition of “liquid assets”
• Reduce first mover advantage
– (Minimum) redemption fees for funds investing in illiquid assets
– Adjust technical aspects of fund share pricing rules
End of presentation Thank you for your attention