risk and return in rapidly chkhanging markets and return in rapidly chkhanging markets edward...
TRANSCRIPT
Risk and Return in Rapidly h kChanging Markets
Edward FishwickManaging DirectorGlobal Co-head Risk & Quantitative Analysis
Lesson 1: The Paramount Importance of Liquidity
Liquidity is the life blood of a modern economy.
The ability to meet immediate obligations is critical to financial The ability to meet immediate obligations is critical to financial survival.
Many market participants assumed that liquidity was a fact of lifey p p q y f f frather than a special condition.
• Continuous time finance is, after all, just an abstraction, not a guarantee.
2The opinions expressed are as of June 5, 2009 and may change as subsequent conditions vary.
Lesson 1: The Paramount Importance of Liquidity
Maximizing wealth, assuming efficient markets exists, permits liquidity concerns to be addressed as an afterthought.
• Value can be extracted from portfolios through the mechanism of the market.
The folly of “wealth maximization”
• In the absence of functioning markets, cash may not necessarily be generated from wealth.
• Alternatively, the cost of doing so becomes exceedingly onerous.y, g g y
Bonds are much better than you think.
• Reliable cash flows should be used to meet critical future liabilities.
• If the portfolio contains cash or cash producing securities, liquidity can be extracted relatively efficiently.
3
The two main risks related to fixed income investing are interest rate risk and credit risk. Typically, when interest rates rise, there is a corresponding decline in the market value of bonds. Credit risk refers to the possibility that the issuer of the bond will not be able to make principal and interest payments.
Lesson 1: The Paramount Importance of Liquidity
Free Riding: when market participants anticipate liquidity, investors can trade products they do not fully understand.
• Arbitrage and relative value trading preserve the intrinsic value• Arbitrage and relative value trading preserve the intrinsic value.
Severe disruptions in a complex and opaque product space may hit expert investors the worst since they will tend to have concentrated expert investors the worst since they will tend to have concentrated exposures.
• The more complex the product, the fewer genuinely expert investors exist.Non expert investors will pass on “cheap securities” to avoid “poisoned • Non-expert investors will pass on cheap securities to avoid poisoned chalices.”
• As a result, the only bids, if any, come from vulture investors who will pay prices that are “too cheap to be wrong.”
Just being smart is not enough!
4
Lesson 2: Assumptions are just Assumptions
Mean-variance; iid• Volatility
• Correlation
• Higher moments zero
Zero means
T-series structure • Stationary
• Slow evolution
R gi• Regimes
Linearity
5
Lesson 2: Assumptions are just Assumptions
90
VIX
60
70
80
40
50
60
20
30
0
10
2/19
90
1/19
90
0/19
91
4/19
92
3/19
93
0/19
94
8/19
95
6/19
96
5/19
97
1/19
98
0/19
99
5/20
00
4/20
01
3/20
02
2/20
03
0/20
04
5/20
05
2/20
06
1/20
07
9/20
08
6
01/0
2
12/3
1
12/3
0
12/2
4
12/2
3
12/2
0
12/1
8
12/1
6
12/1
5
12/1
1
12/1
0
12/0
5
12/0
4
12/0
3
12/0
2
11/3
0
11/2
5
11/2
2
11/2
1
11/1
9
Source: FactSet
Lesson 2: Assumptions are just Assumptions
90
VIX
60
70
80
40
50
60
20
30
0
10
2/19
90
1/19
90
0/19
91
4/19
92
3/19
93
0/19
94
8/19
95
6/19
96
5/19
97
1/19
98
0/19
99
5/20
00
4/20
01
3/20
02
2/20
03
0/20
04
5/20
05
2/20
06
1/20
07
9/20
08
7
01/0
2
12/3
1
12/3
0
12/2
4
12/2
3
12/2
0
12/1
8
12/1
6
12/1
5
12/1
1
12/1
0
12/0
5
12/0
4
12/0
3
12/0
2
11/3
0
11/2
5
11/2
2
11/2
1
11/1
9
Source: FactSet
Lesson 2: Assumptions are just Assumptions
90
VIX
60
70
80
40
50
60
20
30
0
10
2/19
90
1/19
90
0/19
91
4/19
92
3/19
93
0/19
94
8/19
95
6/19
96
5/19
97
1/19
98
0/19
99
5/20
00
4/20
01
3/20
02
2/20
03
0/20
04
5/20
05
2/20
06
1/20
07
9/20
08
8
01/0
2
12/3
1
12/3
0
12/2
4
12/2
3
12/2
0
12/1
8
12/1
6
12/1
5
12/1
1
12/1
0
12/0
5
12/0
4
12/0
3
12/0
2
11/3
0
11/2
5
11/2
2
11/2
1
11/1
9
Source: FactSet
Lesson 2: Assumptions Are Just Assumptions
25.00
Monthly Cross-Sectional Volatility – FTSE350
20.00
10.00
15.00
5.00
--
01/1
989
01/1
990
01/1
991
01/1
992
01/1
993
01/1
994
01/1
995
01/1
996
01/1
997
01/1
998
01/1
999
01/2
000
01/2
001
01/2
002
01/2
003
01/2
004
01/2
005
01/2
006
01/2
007
01/2
008
01/2
009
9
31/
31/
31/
31/
29/
31/
31/
31/
31/
30/
29/
31/
31/
31/
31/
30/
31/
31/
31/
31/
30/
Source: FactSet; FTSE
Lesson 2: Assumptions Are Just Assumptions
0.8
Trailing 60 Day Correlation – Momentum & Value
0.4
0.6
0
0.2
-0.4
-0.2
-0.6
2/01
/200
7
6/01
/200
7
0/01
/200
7
3/02
/200
7
7/02
/200
7
3/03
/200
7
7/03
/200
7
0/04
/200
7
4/04
/200
7
8/05
/200
7
2/05
/200
7
5/06
/200
7
9/06
/200
7
3/07
/200
7
7/07
/200
7
1/07
/200
7
4/08
/200
7
8/08
/200
7
1/09
/200
7
5/09
/200
7
9/10
/200
7
10
02 16 30 13 27 13 27 10 24 08 22 05 19 03 17 31 14 28 11 25 09
Source: FactSet; Barra; BlackRock
Lesson 2: Assumptions Are Just Assumptions
LEVERAGE0.050
220 Day Cumulative Returns to Barra Factors From June 30, 2007
0.020
-0.010
-0 070
-0.040
-0.100
-0.070
11
0 50 100 150 200 250
Source: FactSet; Barra; BlackRock
Lesson 2: Assumptions Are Just Assumptions
LEVERAGE
0.020
0.050VALUE
0.020
0.040
US: Leverage US: Value
220 Day Cumulative Returns to Barra Factors From June 30, 2007
-0.040
-0.010
-0.040
-0.020
0.000
G0.020 0.020
-0.100
-0.070
0 50 100 150 200 250-0.080
-0.060
0 50 100 150 200 250
LEVERAGE
-0 010
0.000
0.010
VALUE
0 010
0.000
0.010
0 0 0
EUR: Leverage EUR: Value
0 040
-0.030
-0.020
0.010
-0.030
-0.020
-0.010
12
-0.0400.000 50.000 100.000 150.000 200.000 250.000
-0.0400.000 50.000 100.000 150.000 200.000 250.000
Source: FactSet; Barra; BlackRock
Lesson 2: Assumptions are Just Assumptions
• Serious risk managers always understood the limitations of models
• Model based forecasts require assumptions - Mean-variance;
volatility; correlation; etc
• It was always understood that these could be violated in practice
• But the last 2 years show this is at levels previously unimagined
- Rapidly varying volatility (absolute & relative)
Diversification works until it doesn’t - Diversification works until it doesn t
- Persistence or trending makes the measurement of risk horizon
dependant p
• Highlights the need for caution in the use of models, and expert
judgement in their interpretation and use
13
Lesson 3: Garbage (or Worse) In/ Garbage Out
I t d t b h d d d l i l Investors need to be more hands-on and develop a visceral understanding of the origination processes and borrowers.
Recently, the quality and performance of underlying assets were materially worse than expectedmaterially worse than expected.
• The underwriting process was much worse than ever indicated in the data.• Originators created loans primarily for sale and retained little, if any,
interest in their ongoing performanceinterest in their ongoing performance.
Going forward, investors will need to get more deeply involved in the information cycle.
• Relying on ratings alone was a failed strategy.
• Previous default and delinquency data was artificially low because, for a while, increasingly attractive lending terms masked defaults with refi’s.
• Even using a more rigorous analytical approach based on taking historical performance data and building and relying only on statistical models and stress test is insufficient.
B tt Li M i St t l d W ll St t
14
Bottom Line: Main Street played Wall Street.The opinions expressed are as of June 5, 2009 and may change as subsequent conditions vary.
Lesson 4: The Sources of Market Risk are Changing
US Treasury’s Financial Stability Plan:• Financial Stability Trust
— A comprehensive stress test for major banks
Canadian Government Support:• Given the low level of the target overnight rate, the
Bank of Canada is refining its approach in providing dditi l t ti l if i d th gh
Global Government Support
p j— Increased balance sheet transparency and disclosure— Capital Assistance Program
• Public-Private Investment Fund ($500 bn - $1tr)• Consumer and Business Lending Initiative (up to $1tr)
— Term Asset-Backed Securities Loan Facility (TALF)
additional monetary stimulus, if required, through credit and quantitative easing
UK Government Quantitative Easing and Asset Purchases:• Program of asset purchases, including corporate bonds,
commercial paper, and gilts, totaling £75 bnUK Government plan to guarantee up to £20bn:Term Asset Backed Securities Loan Facility (TALF)
• Transparency and accountability agenda• Affordable housing support and foreclosure prevention plan• A small business and community lending initiative
Troubled Assets Relief Program (TARP):• Allows the US Treasury to purchase or insure up to $700 bn
• The £20bn guarantees loans to small and medium-sized firms
UK Government nationalizes:• UK government called for the complete nationalization
of Lloyds and Royal Bank of Scotland• Allows the US Treasury to purchase or insure up to $700 bn of “troubled” assets from banks and other financial institutions
Obama’s $775 bn Stimulus Plan:• Aid the economy through tax rebates, mortgage assistance,
public spending, etc.Homeowner Affordability and Stability Plan (HASP)
French Government:• Pumps €6bn into ailing auto industry
Japanese Buy-Back Program:• The Japanese Ministry of Finance is conducting two
buy-back programs of Japan Government Bond –Inflation Linked (JGBi) and Japan Government Bond Homeowner Affordability and Stability Plan (HASP)
• Help homeowners refinance and modify mortgagesConservatorship of FNMA and FHLMC:
• $400 billion commitmentFederal Reserve Agency MBS Purchase Program:
A i l $160b i i f J 5 h
Inflation-Linked (JGBi) and Japan Government Bond Floating Rate Note (JGB FRN)
Australia’s AUD $47bn Stimulus Package:• The package includes AUD $29bn for infrastructure
projects and AUD $13 in cash handouts to low to middle-income groups.
15
• Approximately $160bn in transactions from January 5th to February 25th
Source: BBC News
Lesson 4: The Sources of Market Risk are Changing
Fed Purchase Program Expansion
Agenc MBS P rchases from $500 billion
Gross Demand is Expected to Exceed Supply in 2009*
Fed Balance Sheet Expansion
• Agency MBS Purchases from $500 billion to $1.25 trillion
• Agency Debenture from $100 billion to $200 billion
• Longer-Term Treasuries $300 billion
Net Demand is Expected to Far Exceed Net Supply in 2009*Breakdown of Adjusted Monetary Base & Liquidity Facilities
16
Source: Federal Reserve, Treasury, Banc of America Securities-Merrill Lynch; *2009 numbers are estimates; Source: Credit Suisse (US Mortgage Strategy), Federal Reserve, Freddie Mac, Fannie Mae, Treasury
Lesson 4: The Sources of Market Risk are Changing
As more power over the financial system shifts to global political capitals, market dynamics may shift from economic fundamentals or market technical conditions to political considerationsor market technical conditions to political considerations.
• Developed markets may become more like emerging markets.
Risk management teams may rely less on economists and Risk management teams may rely less on economists and statisticians and more on politically-oriented analysts.
• Quants may find themselves getting traded in for politicos.
The longer term impact on productivity from an increase in political control over the economy is not known.• If history is to be believed the prognosis is not positive• If history is to be believed, the prognosis is not positive.
17The opinions expressed are as of June 5, 2009 and may change as subsequent conditions vary.
Lesson 5: You Can’t Cram for a Crisis
Effective risk management is an expensive long term investment.
• Professional risk managers with substantive subject matter expertise are iti l t h i tcritical to have impact.
Analytics and information management technology are required for a reliable “information utility”.
• Organizations need to prevent internal “information wars”.
• Accessing and using information must be fast and easy.
How Can You Manage the Black Swan? How Can You Manage the Black Swan?
• Having a team and an efficient information infrastructure in place will allow an organization to respond to unanticipated issues or challenges.
• While every potential contingency cannot be anticipated, a comprehensive database of portfolio holdings and their characteristics facilitates a fast response.
18
• Risk mitigation is a critical part of risk management.
The opinions expressed are as of June 5, 2009 and may change as subsequent conditions vary.
Lesson 6: Unconditional Risk Doesn’t Matter Much!
2.00E-02
2.50E-02 US “Quality” US “Quality” –– 1973 to Date1973 to Date
1.00E-02
1.50E-02
0.00E+00
5.00E-03
1 50E 02
-1.00E-02
-5.00E-03
-2 50E-02
-2.00E-02
-1.50E-02
19
2.50E 02197301 197501 197701 197901 198101 198301 198501 198701 198901 199101 199301 199501 199701 199901 200101 200301 200501 200701 200901
Source: FactSet; Barra; BlackRock
Lesson 6: Unconditional Risk Doesn’t Matter Much!
6.00E-02
8.00E-02 1970s1970s 1980s1980s 1990s1990s 2000s2000s
2 00E 02
4.00E-02
0.00E+00
2.00E-02
-4.00E-02
-2.00E-02
-8.00E-02
-6.00E-02
301
401
501
601
701
801
901
001 01 201
301
401
501
601
701
801
901
001 01 201
301
401
501
601
701
801
901
001 01 201
301
401
501
601
701
801
901
20
1973
1974
1975
1976
1977
1978
1979
1980
1981
198 2
1983
1984
1985
1986
1987
1988
1989
1990
1991
199 2
1993
1994
1995
1996
1997
1998
1999
2000
2001
200 2
2003
2004
2005
2006
2007
2008
2009
Source: FactSet; Barra; BlackRock
Lesson 6: Unconditional Risk Doesn’t Matter Much!
70 0
Ex-ante & 5Y ex-post return - UK equity 1900 - 2003 -Quintiles ranked by Ex-ante return
61.8
50.0
60.0
70.0
32.437.9
30.0
40.0
4.6
0.0
10.0
20.0
-15.8-20.0
-10.0
0.0
21
4.1-5.8 5.9-6.4 6.4-6.8 6.8-7.6 7.5-13.8
Source: FactSet; BlackRock
Lesson 6: Unconditional Risk Doesn’t Matter Much!
0.45
Equity & Bonds: Conditional Distributions Equity & Bonds: Conditional Distributions -- 19951995
0.35
0.4
0 2
0.25
0.3
0.1
0.15
0.2
0
0.05
0.1
22
-30 -20 -10 0 10 20 30Source: FactSet; BlackRock
Lesson 6: Unconditional Risk Doesn’t Matter Much!
0 4
0.45
Equity & Bonds: Conditional Distributions Equity & Bonds: Conditional Distributions -- 20022002
0.3
0.35
0.4
0.2
0.25
0.3
0.1
0.15
0
0.05
23
-30 -20 -10 0 10 20 30Source: FactSet; BlackRock
Lesson 6: Unconditional Risk Doesn’t Matter Much!
0.45
Equity & Bonds: Conditional Distributions Equity & Bonds: Conditional Distributions -- 19991999
0.35
0.4
0.25
0.3
0 1
0.15
0.2
0
0.05
0.1
24
-30 -20 -10 0 10 20 30Source: FactSet; BlackRock
Lesson 6: Unconditional Risk Doesn’t Matter Much!
Long Run Average Earnings Yield Broken by Junk / Quality
Dec 1988 to Dec 2007
4 00%
2.00%
3.00%
4.00%
gs y
ield
in
the
mkt
) Historic Premium for Junk at ~3%
0.00%
1.00%
2.00%
of t
he M
edia
n Ea
rnin
g
-2.00%
-1.00%
0.00%
e Ea
rnin
gs Y
ield
(N
et o
-3.00%
2.00%
1 2 3 4 5 6 7 8 9 10
Act
ive
J k Q li
25Source: FactSet; BlackRock
Junk Quality
Lesson 6: Unconditional Risk Doesn’t Matter Much
Active Earnings Yield of the FTSE 350
Junk Deciles 1988-2009
20.00%
Ab l t J k (D il 10) N J k (D il 9)
15.00%
Absolute Junk (Decile 10) Near Junk (Decile 9)
Jan: Junk is extremely cheap
10.00%
Prem
ium
(FY
1/P)
0.00%
5.00%
Yiel
d
-5.00%
3/19
88
1/19
88
7/19
89
3/19
90
1/19
90
7/19
91
3/19
92
1/19
92
7/19
93
3/19
94
1/19
94
7/19
95
3/19
96
1/19
96
7/19
97
3/19
98
1/19
98
7/19
99
3/20
00
1/20
00
7/20
01
3/20
02
1/20
02
7/20
03
3/20
04
1/20
04
7/20
05
3/20
06
1/20
06
7/20
07
3/20
08
1/20
08
May: Junk is priced in historic range.
26
31/0
3
30/1
1
31/0
7
30/0
3
30/1
31/0
7
31/0
3
30/1
30/0
7
31/0
3
30/1
31/0
7
29/0
3
29/1
31/0
7
31/0
3
30/1
1
30/0
7
31/0
3
30/1
1
31/0
7
29/0
3
29/1
31/0
7
31/0
3
30/1
29/0
7
31/0
3
30/1
31/0
7
31/0
3
28/1
Lesson 6: Unconditional Risk Doesn’t Matter Much
Active Earnings Yield Broken down by Junk / Quality
January 2009
10.00%
12.00%
14.00%
yie
ld in
the
mkt
)
Jan: Extreme Junk is massively cheap
4.00%
6.00%
8.00%
of t
he M
edia
n Ea
rnin
gs
2 00%
0.00%
2.00%
ve E
arni
ngs
Yiel
d (N
et o
-4.00%
-2.00%
1 2 3 4 5 6 7 8 9 10
Acti
v
Jan 31-09 Long Run Average
Junk Quality
27
Junk Quality
Lesson 6: Unconditional Risk Doesn’t Matter Much!
6.00E-02
8.00E-02 1970s1970s 1980s1980s 1990s1990s 2000s2000s
2 00E 02
4.00E-02
0.00E+00
2.00E-02
-4.00E-02
-2.00E-02
-8.00E-02
-6.00E-02
301
401
501
601
701
801
901
001 01 201
301
401
501
601
701
801
901
001 01 201
301
401
501
601
701
801
901
001 01 201
301
401
501
601
701
801
901
28
1973
1974
1975
1976
1977
1978
1979
1980
1981
198 2
1983
1984
1985
1986
1987
1988
1989
1990
1991
199 2
1993
1994
1995
1996
1997
1998
1999
2000
2001
200 2
2003
2004
2005
2006
2007
2008
2009
Source: FactSet; Barra; BlackRock
For distribution to Professional Clients and should not be relied upon by any other persons.
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30