a primer on overlays dr. arun muralidhar
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A Primer on Overlays
www.mcubeit.com Dr. Arun Muralidhar
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Arun Muralidhar - BioArun Muralidhar - Bio
Chairman of Mcube Investment Technologies, LLC and Managing Director at FX Concepts, Inc.
Head of Investment Research and Member of Investment Management Committee, World Bank Investment Department, 1995-1999
Derivatives and Liability Management, World Bank Funding Department, 1992-1995
Managing Director and Head of Currency Research, JPMIM, 1999-2001
BA, Wabash College (1988); PhD, MIT Sloan (1992)
3
Agenda
Overlays – TAA or Currency
Underused by most funds
Internal versus External
Capability, fees and product offerings
New paradigm: alpha from good decisions
AlphaEngineTM: empower clients to make better decisions
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Case for Overlays Markets are inefficient – currency is best
example
Low correlations across assets - “informed decision making” will be profitable
Can be implemented with little cash (derivatives)
An excellent source of uncorrelated alpha
Sophisticated Clients can Implement at Low Cost
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TAA Case Study: Many Possible TAA Case Study: Many Possible IdeasIdeas
EAFE20%
Total Portfolio
US Equity50%
Cash5%
US Fixed Income 25%
Decisions to be made on allocation between asset classes:
Domestic vs International Equities (Stock-Stock)
Domestic Equities vs Domestic Bonds (Stock-Bonds)
Domestic Bonds vs Cash (Bonds-Cash)
Assume Asset Limits of +/- 5% from Benchmark Weight
6
Simple/Intuitive Rules Tested
Rule Rule DescriptionCash vs. Bonds, based on Gold
Duration choice based on price of gold. If the spot price of gold is higher than it was a year ago, overweight cash, otherwise overweight bonds
Stocks vs Bonds: Halloween Effect
Stocks tend to underperform bonds between June and Sept - apparently works in 16 out of 18 stock markets, so underweight stocks during this period
Stocks vs Bonds: Inflation/Growth
Equities undervalued when inflation rises (Modigliani-Cohn insight); equities favored when industrial production is increasing
Market Volatility Low equity volatility in a rising stock environment is bullish for equities.Oil and Economy Rising oil prices affect the economy and tend to depress equities.P/E Ratio Rule Value rule for equity (vs FI) using the S&P 500 P/EFed Model When equity yield is higher than treasury yield then buy equity, else
sell equityUnemployment Rate Buy stocks when the unemployment rate is falling (good for economy)US/EAFE: LIBOR Rates Overweight equity market with the stronger currency (higher interest
rate)US/EAFE: Favor Underperformer
Overweight equity market which has underperformed over past year (i.e., buy the laggard)
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Rule Performance (1998-2004)
Rule
Excess Annualized
ReturnInformation
RatioConfidence
in SkillSuccess Ratio
Ratio Good /Bad Risk
Max Drawdown
Cash vs. Bonds, based on Gold 0.04% 0.20 68.8% 56.4% 1.30 -0.44%
Halloween Effect 0.98% 0.88 98.0% 63.8% 1.42 -1.58%
Inflation/ Growth 0.50% 0.57 93.1% 79.7% 1.07 -1.31%
Market Volatility 0.12% 0.11 67.8% 56.4% 1.41 -2.74%
Oil and Economy 0.45% 0.57 91.6% 70.5% 1.16 -0.84%
P/ E Ratio Rule 0.17% 0.39 87.1% 50.0% 2.12 -0.80%
Fed Model 0.47% 0.50 91.8% 61.5% 1.43 -2.17%
Unemployment Rate 0.51% 0.61 94.1% 59.0% 0.99 -1.11%
US/ EAFE: LIBOR Rates 0.17% 0.43 84.7% 55.1% 1.07 -0.71%
US/ EAFE: Favor Underperformer 0.53% 0.95 99.3% 64.1% 1.33 -1.07%
Monthly Decisions – No Transactions Costs
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Strategies (Mix of Rules) Tested
Strategy Name Strategy DescriptionRebalancing I Quarterly Rebalancing to Benchmark WeightsRebalancing II Rebalance to Benchmark Weights when Range of +/-5%
BreachedCombination of Rules:
Strategy 1
6 Best Excess Annualized Returns () and Information Ratios – Cash vs Bonds, Halloween Effect, Inflation/Growth, Unemployment Rate, Fed Model, US/EAFE: Favor Underperformer (all equally weighted)
Combination of Rules:
Strategy 2
6 Lowest Annualized Standard Deviation (Risk) - Cash vs Bonds, Oil and Economy, P/E Ratio, Unemployment Rate, US/EAFE: LIBOR Rates, US/EAFE: Favor Underperformer (all equally weighted)
Combination of Rules:
Strategy 3
3 Highest and 3 Lowest Risk - Cash vs Bonds, Halloween Effect, P/E Ratio, Unemployment Rate, US/EAFE: LIBOR Rates, US/EAFE: Favor Underperformer (all equally weighted)
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Strategy Performance (1998-2004)
Informed decisions significantly outperform rebalancing
Rule diversification enhances information ratios
Strategy
Excess Annualized
ReturnInformation
RatioConfidence in Skill
Success Ratio
Ratio Good /Bad Risk
Max Drawdown
Rebalancing I - Quarterly -0.22% -0.87 NM 29.5% 1.26 -1.50%Rebalancing II - Range of 5% -0.42% -1.11 NM 33.3% 0.96 -2.74%
Strategy 1 (highest 6 Excess Returns/IR) 0.44% 1.29 99.97% 64.1% 2.11 -0.21%Strategy 2 (lowest 6 risk) 0.32% 1.20 99.90% 61.5% 1.54 -0.28%Strategy 3 (Highest 3 Excess, lowest 3 Risk) 0.36% 1.42 99.99% 57.7% 2.09 -0.20%
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Historical Allocations to Asset Classes
Strategy 1
Strategy 2
Strategy 3 All
strategies have same rule/allocati
on
Strategies 2 & 3 have
same rules/allocat
ion
US Equity
45%
50%
55%
Fixed Income
20%
25%
30%
Jan-
98
Jul-9
8
Jan-
99
Jul-9
9
Jan-
00
Jul-0
0
Jan-
01
Jul-0
1
Jan-
02
Jul-0
2
Jan-
03
Jul-0
3
Jan-
04
Jul-0
4
Intl Equity
15%
20%
25%
Cash
0%
5%
10%
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Currency Case Study: Easy Currency Case Study: Easy AlphaAlpha
JPY (30%)
Currency Portfolio
GBP (20%)EUR (50%)
Three rules make money: Trend, Carry/Yield and Options
Work in Divergent, Convergent and Sideways Markets, respectively
Potential to add in other currencies and make more complex
Rules will, by construct, have high tracking error: +100%/-100%
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Simple Rules Work (1994-2004)
Trend – if 25 day moving average > 65 days moving average, BUY, else SELL
Carry – SELL currency with low interest rate
Yield – SELL currency with steep yield curve
Options – Are overpriced, SELL
Not highly correlated – good diversification
Need Not Pay Active Fees for Simple Rules
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Performance of JPY Rules/Strategies Rules Evaluated: (a) yield curve; (b) carry; (c)
moving average
USD/JPY Strategy = 40% Yield curve and Carry, 20% MA
Diversification improves information ratio, skill, & drawdown
Strategy/ Rules
Annualized Return
Annualized Std Deviation
Information Ratio
Cumulative Return
Confidence in Skill
Success Ratio
Ratio Good /Bad Risk
Max Drawdown
USD/JPY Strategy 4.59% 8.56% 0.5365 57.45% 94.17% 52.86% 0.9103 -20.45% USD/JPY Yield Curve 4.54% 11.59% 0.3919 56.68% 85.59% 53.43% 0.8564 -26.21% USD/JPY Carry 4.33% 11.59% 0.3741 53.57% 84.26% 52.37% 0.8613 -26.21% USD/JPY MA 20-65 3.62% 11.59% 0.3121 43.22% 79.05% 51.12% 1.06 -20.51%
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Performance of EUR Rules/Strategies Rules Evaluated: (a) yield curve; (b) carry; (c)
moving average
USD/EUR Strategy = 40% Yield curve and Carry, 20% MA
Trend model losses are meaningful; but moderate lower drawdown and worst single performance of the strategy
Strategy/ Rules
Annualized Return
Annualized Std Deviation
Information Ratio
Cumulative Return
Confidence in Skill
Success Ratio
Ratio Good /Bad Risk
Max Drawdown
USD/EUR Strategy 3.79% 5.09% 0.7444 45.69% 98.89% 55.21% 0.9793 -7.78% USD/EUR Yield Curve 5.20% 6.26% 0.8301 40.10% 98.42% 82.95% 0.8599 -8.08% USD/EUR Carry 8.48% 9.71% 0.8729 127.66% 99.56% 55.21% 0.8997 -13.07% USD/EUR MA 20-65 -5.22% 9.72% -0.5372 -41.86% 3.13% 46.68% 1.1392 -49.12%
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Can Be a Consistent Alpha Source
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Internal versus External
Internal
May require use of derivatives (not critical as portfolio drift/rebalancing is an active decision)
Can keep costs down; better control
External
Some strategies better suited – Options
Less career risk; long record of having added alpha
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AlphaEngineTM: Empower Clients Brings state-of-the-art management to pension
funds
Easy to use: Clients generate ideas – software does work
Test strategies in a few minutes
Client can customize to their structure and objectives
No consulting!! Client can make all decisions better
Very transparent: See impact of all decisions on individual asset class or entire fund (easy to read)
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Summary
Many (explicit and implicit) decisions in a portfolio
Each is an opportunity for alpha/risk management
Overlays can help manage these risks for return
Good governance: cost/return impact of every decision
Must aggregate impact of all decisions on portfolio
AlphaEngineTM: adopt best practices quickly and easily
AppendixAppendix
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Fund ResponsibilitiesAsset-Liabilit
yRisk
Tactical & Benchmark
Risk
Manager/ActiveRisk
Responsibility
Monitor
Manage
Trustees Internal Staff Managers
Annually Daily/Monthly Monthly
Strategic Allocations & Funding
Policy
Asset, Sector, Style and Currency
Allocations
ManagerSelection and
Allocation
Responsibility
Decision Frequency
How to Manage the
Risk
Staff are Making Many Decisions (Implicitly) Periodically
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Effective Decision Making Low asset correlations allow “informed decision making”
Identify rule ideas to allocate across asset classes
Select criteria for rule/strategy evaluation (excess return, information ratio, skill, success rate, drawdown)
Analyze rule performance, test different strategies (rule combinations) - diversification benefits not obvious
Test alternative policies versus rebalancing options
Assumed Monthly Decisions (1998-2004); No Transaction Costs
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Extensions Each decision is an opportunity for more returns/risk
management More tiers = greater diversification, efficacy = more returns
Within asset classes (Fixed Income, Equities, Currencies) Managers: Active versus passive and across managers
Leverage asset managers to generate research ideas for decisions
Rule were equally weighted; opportunity to further improve Evaluate ideas in isolation as well as part of a total portfolio
(aggregation produces results that are not obvious)
Improve fund governance, and in turn, returns and risk
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Relaxing Asset Limits to +/- 10%
Change in asset range produces higher ; other measures improve or stay within
acceptable range
Strategy
Excess Annualized
ReturnInformation
RatioConfidence in Skill
Success Ratio
Ratio Good /Bad Risk
Max Drawdown
Rebalancing II - 5% Range -0.42% -1.11 NM 33.3% 0.96 -2.74%Rebalancing II - 10% Range -0.11% -0.16 31.95% 46.2% 1.60 -2.48%
Strategy 1 - 5% limit 0.44% 1.29 99.97% 64.1% 2.11 -0.21%Strategy 1 - 10% limit 0.93% 1.29 99.97% 68.0% 1.91 -0.50%
Strategy II - 5% limit 0.32% 1.20 99.90% 61.5% 1.54 -0.28%Strategy II - 10% limit 0.51% 1.16 99.85% 62.8% 1.91 -0.26%
Strategy III - 5% limit 0.36% 1.42 99.99% 57.7% 2.09 -0.20%Strategy III - 10% limit 0.75% 1.50 99.99% 66.7% 1.90 -0.44%
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Multi-tiered Alpha Aggregation
Alpha = 0.5%
Alpha = 0.5%
Alpha = 0.5%
Alpha = 1.5%
Asset allocation/ rebalancing strategy
Small CapRussell 2000
Large CapS&P500
Equity strategy – Large vs Small Cap
Manager rule to determine allocation between managers/index
Intl Equity(EAFE) 20%
Total Portfolio
US Equity50%
Cash5%
US Fixed Income 25%
Active(Manager B)
Enhanced Index(Manager A)
Passive(S&P500)
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Performance of GBP Rules/Strategies Rules Evaluated: (a) yield curve; (b) carry; (c)
moving average
USD/GBP Strategy = 40% Yield curve and Carry, 20% MA
GBP is hardest to modelStrategy/ Rules
Annualized Return
Annualized Std Deviation
Information Ratio
Cumulative Return
Confidence in Skill
Success Ratio
Ratio Good /Bad Risk
Max Drawdown
USD/GBP Strategy 1.50% 5.56% 0.2703 16.29% 77.97% 53.20% 0.9408 -17.50% USD/GBP Yield Curve 0.15% 7.80% 0.0192 1.53% 47.49% 49.53% 1.0048 -29.22% USD/GBP Carry 3.00% 7.80% 0.3847 34.85% 86.41% 53.54% 0.9758 -17.95% USD/GBP MA 20-65 0.50% 7.80% 0.0642 5.18% 53.18% 52.97% 0.8862 -29.63%
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Allocation ResultsUSD/JPY HEDGE POSITION
-100%
-80%
-60%
-40%
-20%
0%
20%
40%
60%
80%
100%
Jun-9
4
Dec-9
4
Jun-9
5
Dec-9
5
Jun-9
6
Dec-9
6
Jun-9
7
Dec-9
7
Jun-9
8
Dec-9
8
Jun-9
9
Dec-9
9
Jun-0
0
Dec-0
0
Jun-0
1
Dec-0
1
Jun-0
2
Dec-0
2
Jun-0
3
Dec-0
3
Jun-0
4
Sell
US
D S
ho
rt…
……
Hed
ge 1
00% USD/EUR HEDGE POSITION
-100%
-80%
-60%
-40%
-20%
0%
20%
40%
60%
80%
100%
Jun
-94
De
c-9
4
Jun
-95
De
c-9
5
Jun
-96
De
c-9
6
Jun
-97
De
c-9
7
Jun
-98
De
c-9
8
Jun
-99
De
c-9
9
Jun
-00
De
c-0
0
Jun
-01
De
c-0
1
Jun
-02
De
c-0
2
Jun
-03
De
c-0
3
Jun
-04
Sell
US
D S
ho
rt…
…H
ed
ge 1
00%
USD/GBP HEDGE POSITION
-100%
-80%
-60%
-40%
-20%
0%
20%
40%
60%
80%
100%
Jun-94
Dec-9
4
Jun-95
Dec-9
5
Jun-96
Dec-9
6
Jun-97
Dec-9
7
Jun-98
Dec-9
8
Jun-99
Dec-9
9
Jun-00
Dec-0
0
Jun-01
Dec-0
1
Jun-02
Dec-0
2
Jun-03
Dec-0
3
Jun-04
Sell
US
D S
ho
rt…
……
Hed
ge 1
00%