The Impact of Hedge Funds on the Global Foreign Exchange Markets: Overview, Implications & Trends Foreign Exchange Contact Group Dublin, 7th September 2006 Peter Griep, Jörg Isselmann, Stefan Bender
Contents 1. Current Developments and Economic Background 1. Data issues 2. Development of FX Markets and the Hedge Fund Industry 3. Impact of Hedge Fund Activities on FX Markets 1. Investment Styles 2. Carry Trades 3. Crowded Trades 2. Performance, Leverage and Risk 1. Fund of Hedge Funds 2. Hedge Fund Returns 3. Risk and Leverage 3. FX as an Asset Class: Products & Developments 1. FX as Source of Alpha 2. The FXSelect Platform 3. Investable Indices Dublin, 7th September 2006 Peter Griep, Jörg Isselmann, Stefan Bender Page 2
Current Developments and Economic Background Deutsche Bundesbank Peter Griep
Data Commercial Hedge Fund databases provided by Lipper/TASS, Centre for International Securities and Derivatives Markets (CISDM), Hedge Fund Research (HFR) Hedge Fund manager report on a voluntary basis Databases cover only a part of the global Hedge Fund industry comprise quantitative (AUM, returns) and a variety of qualitative data (strategy, geographical focus, leverage etc.) are subject to biases (survivorship bias, self selection bias, backfill bias) suffer from accuracy and consistency Other statistics: Hedge Fund data included in other aggregates reported by banks (e.g. BIS, Euromoney statistics) Dublin, 7th September 2006 Peter Griep, Jörg Isselmann, Stefan Bender Page 4
FX Markets in bn USD 2000 Global FX Market Turnover (Daily Averages in April) 1800 1600 1400 1200 1000 800 600 400 Estimated reporting gaps With non-financial customers With other financial customers With reporting dealers 200 0 1992 1995 1998 2001 2004 Source: BIS Triennial Central Bank Survey (2005). Dublin, 7th September 2006 Peter Griep, Jörg Isselmann, Stefan Bender Page 5
Share of FX on Hedge Funds Asset Under Management (TASS Data) bn USD St r a t e g y 1998 1999 2000 2001 2002 2003 2004 2005 Directional Long/ Short Equity 20.8 34.8 49.0 58.2 61.3 77.9 113.2 147.4 o f w h ich : FX in cl. in asset s 43% 45% 47% 49% 51% 52% 51% 50% FX fo r hed g in g o n 7% 10% 17% 23% 24% 23% 22% 23% primary FX focus 5% 5% 4% 3% 4% 4% 4% 3% Global Macro 2.9 2.7 2.9 3.8 5.6 16.2 20.0 24.2 o f w h ich : FX in cl. in asset s 99% 99% 99% 98% 97% 98% 96% 92% FX fo r h ed g in g o n 3% 5% 7% 7% 15% 11% 13% 8% prim ary FX fo cu s 89% 80% 77% 69% 66% 76% 59% 46% Em erging Markets 3.1 6.2 4.9 5.9 8.2 17.3 26.6 38.8 o f w h ich : FX in cl. in asset s 45% 47% 59% 60% 61% 58% 56% 55% FX fo r hed g in g o n 23% 30% 30% 25% 22% 20% 20% 20% primary FX focus 1% 1% 2% 5% 6% 6% 6% 6% Managed Futures 3.2 3.9 4.0 6.1 9.1 17.5 25.9 26.5 o f w h ich : FX in cl. in asset s 99% 98% 96% 92% 92% 93% 89% 82% FX fo r hed g in g o n 0% 0% 0% 0% 0% 0% 0% 0% prim ary FX fo cu s 90% 82% 80% 71% 71% 72% 65% 62% Event Driven 9.6 11.0 14.5 21.7 24.8 39.7 62.1 83.4 o f w h ich : FX in cl. in asset s 66% 61% 62% 58% 64% 58% 51% 51% FX fo r hed g in g o n 45% 42% 43% 42% 47% 44% 40% 41% primary FX focus 7% 6% 6% 5% 5% 4% 3% 3% Dublin, 7th September 2006 Peter Griep, Jörg Isselmann, Stefan Bender Page 6
Share of FX on Hedge Funds Assets Under Management (TASS Data) bn USD St rat egy 1998 1999 2000 2001 2002 2003 2004 2005 Market Neutral Fixed Incom e Arbit rage 4.7 5.2 5.1 7.3 12.2 18.7 29.4 37.2 o f w h ich: FX in cl. in asset s 32.1% 21.1% 29.1% 31.1% 33.7% 43.5% 43.2% 42.5% FX f o r h ed g in g o n 32.6% 21.6% 28.1% 28.3% 28.9% 30.3% 30.9% 32.8% prim ary FX focus 0.2% 0.1% 1.3% 4.8% 7.8% 13.3% 13.9% 13.6% Equit y Market Neut ral 5.0 7.3 10.0 14.7 16.8 19.9 24.3 23.7 o f w h ich: FX in cl. in asset s 56.2% 59.6% 60.2% 53.2% 49.1% 46.4% 46.0% 42.1% FX f o r h ed g in g o n 39.4% 42.4% 38.5% 30.3% 30.4% 30.2% 29.2% 30.2% prim ary FX focus 0.0% 0.1% 0.1% 1.3% 1.4% 1.6% 0.1% 0.3% Convert ible Arbit rage 2.2 2.6 3.0 8.1 10.2 15.6 18.8 14.0 o f w h ich: FX in cl. in asset s 42.9% 35.1% 33.6% 63.1% 57.7% 52.9% 56.0% 61.4% FX f o r h ed g in g o n 42.4% 34.6% 32.9% 59.2% 48.9% 39.8% 43.9% 49.6% prim ary FX focus 6.3% 5.4% 5.1% 2.4% 3.8% 4.8% 4.5% 4.4% Tot al 61.1 85.3 104.4 139.9 165.1 246.2 354.1 433.7 o f w h ich: FX in cl. in asset s 58.0% 54.5% 54.4% 55.6% 57.0% 58.5% 55.6% 53.5% FX f o r h ed g in g o n 21.4% 20.6% 24.4% 28.2% 28.4% 26.0% 25.9% 26.4% p r im ar y FX f o cu s 20.2% 15.8% 10.7% 10.1% 11.7% 15.6% 12.6% 10.8% Dublin, 7th September 2006 Peter Griep, Jörg Isselmann, Stefan Bender Page 7
40% 35% 30% 25% 20% 15% 10% 5% 0% Funds with currencies included in assets not only for hedging purposes AUM Share of all Funds 1998 2002 2005 bn USD 140 120 100 80 60 40 20 0 Source: TASS Database; own calculations. Dublin, 7th September 2006 Peter Griep, Jörg Isselmann, Stefan Bender Page 8
60% Investment approach of funds with primary focus on currencies 50% 40% 30% 20% Fundamental Technical Trend following Systematic quant 10% 0% 1998 2002 2005 Source: TASS database; own calculations. Dublin, 7th September 2006 Peter Griep, Jörg Isselmann, Stefan Bender Page 9
Impact of Hedge Funds on Market Dynamics Increasing technical trading might amplify price movements Empirical evidence of Hedge Funds impact on volatility not clear - Momentum traders vs. fundamental, contrarian and mean reversion strategies - Speculation can stabilize prices (e.g. futures markets) Possible feedback effects of volatility trades on cash markets Carry trades might prolong currency trends Crowded trades make Hedge Funds vulnerable to adverse market dynamics Dublin, 7th September 2006 Peter Griep, Jörg Isselmann, Stefan Bender Page 10
Carry Trades 1 0.8 0.6 0.4 0.2 Corrrelations of Hedge Fund Returns with DB Global Currency Harvest USD 0-0.2-0.4-0.6-0.8 All Funds Emerging Markets Global Macro Multi Strategy Sep-01 Jan-02 May-02 Sep-02 Jan-03 May-03 Sep-03 Jan-04 May-04 Sep-04 Jan-05 May-05 Sep-05 Jan-06 Dublin, 7th September 2006 Peter Griep, Jörg Isselmann, Stefan Bender Page 11
Crowded Trades? 0.9 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 0 Correlation of Hedge Fund Returns (excluding Funds of Funds) -0.1-0.2-0.3 2000,12 2001,12 2002,12 2003,12 2004,12 2005,12 1st quartile median 3rd quartile Source: TASS Database; own calculations. Dublin, 7th September 2006 Peter Griep, Jörg Isselmann, Stefan Bender Page 12
Crowded Trades? Correlation of Fund of Hedge Funds Returns 0.9 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 0-0.1-0.2-0.3 2000,12 2001,12 2002,12 2003,12 2004,12 2005,12 1st quartile median 3rd quartile Source: TASS Database; own calculations. Dublin, 7th September 2006 Peter Griep, Jörg Isselmann, Stefan Bender Page 13
Performance,Leverage and Risk BHF Bank Jörg Isselmann
Fund of Hedge Funds: Structure Investor 1 Investor 2 Investor 3 Investor 4 Investor n Leverage Fund of Hedge Funds Fee Selection & allocation Leverage Hedge Fund 1 Hedge Fund 2 Hedge Fund N Fee Investment Universe Dublin, 7th September 2006 Peter Griep, Jörg Isselmann, Stefan Bender Page 15
Fund of Hedge Funds: Some Sytlized Facts Importance FOHF account for more than half of the capital provided to single-hedge funds (about US$bn700 of the US$bn1,350 in 2005) Leverage BIS/BoE estimates for hedge fund leverage indicate that leverage has been relatively stable over the 2004-06 period; overall, leverage is significantly lower than in the 90s FOHF use less own leverage than single-hedge funds Liquidity constraints FOHF tend to have shorter lock-up periods (about 76% have no lock up at all, as compared to 69% for single-hedge funds), but redemptions can be made less frequent and payout periods tend to be longer side letters or seperately managed accounts possibly provide for preferential treatment of FOHF (and other institutional investors) from single hedge funds; investor redemptions could constitute a bigger risk for hedge funds than indicated by standard liquidity constraints as published in hedge fund databases Correlation correlation of returns within the group of FOHFs is higher than within any other hedge fund strategy; little diversification is achievable by investing in different FOHF correlation between hedge fund returns has risen steeply since 2004 (from 0.4 to nearly 0.8); could be an indication of herding behaviour Dublin, 7th September 2006 Peter Griep, Jörg Isselmann, Stefan Bender Page 16
Hedge Fund Return and Risk*) 4.0 3.5 3.0 Average monthly return Standard deviation 2.5 2.0 1.5 1.0 0.5 0.0-0.5-1.0 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 *) Credit Suisse Tremont Hedge Fund Index Dublin, 7th September 2006 Peter Griep, Jörg Isselmann, Stefan Bender Page 17
Annual Returns of FX Hedge Funds*) 60 50 44.2 49.9 40 37.6 30 20 10 0-10 1986 *) Parker FX Index 24.5 19.3 25.4 17.3 1987 1988 1989 1990 1991 1992 1993 6.5-2.0 19.0 11.9 13.1 1994 1995 1996 1997 Dublin, 7th September 2006 Peter Griep, Jörg Isselmann, Stefan Bender Page 18 5.6 2.2 7.3 4.3 8.0 9.5 1998 1999 2000 2001 2002 2003-0.6 0.0 2004 2005 2006-3.0
FX Markets and Hedge Fund Positioning 1.0 0.8 0.6 0.4 0.2 0.0-0.2-0.4-0.6-0.8 EUR-USD (r.h.s.) correlation with Parker FX (l.h.s.) *) correlation with CS Tremont (l.h.s.) *) 1.4 1.3 1.2 1.1 1.0 0.9-1.0 Jan- 99 Jul- 99 Jan- 00 Jul- 00 Jan- 01 Jul- 01 Jan- 02 Jul- 02 Jan- 03 Jul- 03 Jan- 04 Jul- 04 Jan- 05 Jul- 05 Jan- 06 0.8 *) Rolling 12 months correlation of monthly returns Dublin, 7th September 2006 Peter Griep, Jörg Isselmann, Stefan Bender Page 19
EUR-USD and FX Hedge Funds Monthly returns in % 8 6 EUR-USD Parker FX Index 4 2 0-2 -4-6 Jan-03 Mar-03 May-03 Jul-03 Sep-03 Nov-03 Jan-04 Mar-04 May-04 Jul-04 Sep-04 Nov-04 Jan-05 Mar-05 May-05 Jul-05 Sep-05 Nov-05 Jan-06 Mar-06 May-06 Dublin, 7th September 2006 Peter Griep, Jörg Isselmann, Stefan Bender Page 20
Risk and Leverage Volatility of assets + VaR - Return - Correlation between assets + Leverage Dublin, 7th September 2006 Peter Griep, Jörg Isselmann, Stefan Bender Page 21
Low Volatility Environment in Forex Markets Option implied volatility 6 months in % 15 14 13 12 11 10 9 8 7 EUR-USD Vola USD-JPY Vola GBP-USD Vola 15 14 13 12 11 10 9 8 7 6 6 Jan- 00 Jul- 00 Jan- 01 Jul- 01 Jan- 02 Jul- 02 Jan- 03 Jul- 03 Jan- 04 Jul- 04 Jan- 05 Jul- 05 Jan- 06 Jul- 06 Dublin, 7th September 2006 Peter Griep, Jörg Isselmann, Stefan Bender Page 22
Globalization of Correlation Forex Markets Stock Markets 85 90 95 100 105 110 115 ZAR TRL BRL ISL 85 90 95 100 105 110 115 44000 42000 40000 38000 36000 BOVESPA (l.h.s.) ISE National 100 (r.h.s.) 50000 48000 46000 44000 42000 40000 38000 36000 120 125 120 125 34000 34000 32000 130 130 32000 30000 01.03.06 31.03.06 30.04.06 30.05.06 29.06.06 29.07.06 01.03.06 31.03.06 30.04.06 30.05.06 29.06.06 29.07.06 Dublin, 7th September 2006 Peter Griep, Jörg Isselmann, Stefan Bender Page 23
Concluding Remarks Tough times for FX Hedge Funds - No trending markets - Low volatility - Expected dollar weakness difficult to play Reported returns over the last decade strong Short term performance - on average disappointing Hedge Funds follow less aggressive trading strategies than several years ago, less leverage, investment styles of hedge fund managers and traditional asset managers converging - targeting medium-sized institutional investors (pension funds, insurances, ) - targeting wealthy retail customers (esp. FOHF, index products) increasing pressures to acchieve constant returns, even short term; favouring herding behaviour Dublin, 7th September 2006 Peter Griep, Jörg Isselmann, Stefan Bender Page 24
FX as an Asset Class: Products & Developments Deutsche Bank AG Stefan Bender
FX as an Asset Class: Statement FX is an ideal market for active participants and return seekers Liquid, deep, well-developed market which requires minimal capital Large number of market transactions which are not profit motivated FX specialist managers have persistently generated positive excess return Average 10.3% returns over the last 15 years according to the Parker FX Index Dublin, 7th September 2006 Peter Griep, Jörg Isselmann, Stefan Bender Page 26
FX as an Asset Class: Statement The FX market provides unique opportunities for skilled traders Minimal capital requirement 24/6 global market, $1.9 trillion a day Deep and liquid derivatives market FX Market A Rich Source Of Alpha Non-profit seeking participants Low transaction costs and is virtually the perfect market for investors seeking new forms of Alpha Dublin, 7th September 2006 Peter Griep, Jörg Isselmann, Stefan Bender Page 27
Historical Manager Returns Chart below shows historical returns of the universe of FX managers, as measured by the Parker FX Index, re-based to 1990 500 450 Annual returns 1990 37.6% 1991 25.4% 400 350 300 250 200 1992 1993 1994 1995 1996 1997 1998 1999 17.3% 6.5% -2.0% 19.0% 11.9% 13.1% 5.6% 2.2% 150 100 Average annual returns 1990-2005 are 10.3% *Source: Parker Global Strategies Jan-90 Jan-92 Jan-94 Jan-96 Jan-98 Jan-00 Jan-02 Jan-04 Jan-06 The indices illustrated are based on material we believe to be reliable; however, we do not represent that the indices are accurate, current, complete, or error free. Assumptions, estimates and opinions contained in the indices constitute our judgment as of the date of the material. The past performance of an investment is no guarantee of future returns. Its value may go down as well as up and you may not get back the amount you have originally invested. 2000 2001 2002 2003 2004 2005 7.3% 4.3% 8.0% 9.5% -0.6% 0.04% Dublin, 7th September 2006 Peter Griep, Jörg Isselmann, Stefan Bender Page 28
Multi-Manager Approach Captures Full Benefits Benefits of Multi Manager Approach DIVERSIFICATION BENEFIT THROUGH MULTI-MANAGERS Diversification is not only valid for uncorrelated assets, but also uncorrelated investment managers with positive Sharpe Ratios. The FX manager universe average return is positive which means the real risk is manager concentration and a lack of style diversification A multi-manager approach captures the full diversification benefits of FX manager investments Sharpe Ratio 1.75 1.5 1.25 1 0.75 0.5 Correlation = 0% Correlation = 20% Correlation = 50% Correlation = 80% Correlation = 100% 0.25 1 2 3 4 5 6 7 8 9 10 Number of Managers in Investment Dublin, 7th September 2006 Peter Griep, Jörg Isselmann, Stefan Bender Page 29
Creating Indices When creating an index, the managers to include (and their weightings) can be chosen in three ways: Full Client Discretion - Choose from the full investable universe - Anonymously hire and exit managers at will (re-weight index on a daily basis) - No transaction costs - Dynamic risk and leverage control (discretionary or rule based) Fund-of-Funds Portfolio Manager - As above, but third party manages selection process - DB cannot advise, but can identify organisations to perform this function Systematic - Rule-based manager selection (e.g. the FXSelect TOP Diversified Index) Dublin, 7th September 2006 Peter Griep, Jörg Isselmann, Stefan Bender Page 30
FXSelect Top Diversified Index Diversified Index: Ensuring Style Diversification FX Universe Intra-week Multi-week Systematic Trend Following Systematic Break-Out Systematic Mean Reverting Systematic Blended Discretionary Systematic Trend Following Systematic Break-Out Systematic Mean Reverting Systematic Blended Discretionary External advisor classifies each manager according to trading style, with a total of 10 different trading styles possible Annually, the top performing manager in each style category is selected to create the Diversified index. This selection process ensures that best of breed in each style is selected, while the style classification ensures that correlation between the managers remains low. Dublin, 7th September 2006 Peter Griep, Jörg Isselmann, Stefan Bender Page 31
Systematic Index Construction Principles: A systematic (rule-based) approach could incorporate the following principles: - Rank managers using a (Return / Max Drawdown) measure - Rank based on the last 12 months return - Index should contain between 8-25 managers to take advantage of diversification benefits - Rebalancing of managers should occur on a yearly basis, with the rebalancing occurring in June - There should be a Hurdle Level where the performance of existing managers is increased by 10% An implementation of this is the TOP Diversified Index - Hybrid of 2 indices: Diversified Index and TOP Index Dublin, 7th September 2006 Peter Griep, Jörg Isselmann, Stefan Bender Page 32
FXSelect TOP Diversified Index Performance and Statistics Chart below shows the excess returns, net of fees, of a simulated TOP Diversified Index versus the current FXSelect Universe constructed from over 60 managers, and the Parker FX Index (Jul. 2002=100) These returns are excess over Libor. A funded investment would mean that even in a year when the TOP Diversified was flat, the investor would still receive the prevailing interest rate return on the notional 135 130 125 120 115 110 105 100 95 Source: Deutsche Bank TOP Diversified - unfunded Equally Weighted - unfunded Parker FX Index - unfunded Re-weighting 28Jun04 Initial Weighting 28Jun03 SIMULATED INDEX PERFORMANCE AND STATISTICS Re-weighting 28Jun05 01Jan06 Jul-02 Dec-02 Jun-03 Nov-03 May-04 Oct-04 Apr-05 Oct-05 Mar-06 Statistics (Aug 02 Jun 06) FXSelect EUR TOP Div Net Excess Return 7.0% Max. Drawdown Return/Max D.D Sharpe Ratio Sortino Ratio Volatility Worst Month Best Month % Positive Months % Negative Months 4.0% 1.75 2.12 2.60 3.3% -1.1% 3.6% 73% 27% FXSelect Universe 4.9% 3.2% 1.54 1.72 2.04 2.8% -1.2% 3.2% 60% 40% The indices illustrated are based on material we believe to be reliable; however, we do not represent that the indices are accurate, current, complete, or error free. Assumptions, estimates and opinions contained in the indices constitute our judgment as of the date of the material. The past performance of an investment is no guarantee of future returns. Its value may go down as well as up and you may not get back the amount you have originally invested. Dublin, 7th September 2006 Peter Griep, Jörg Isselmann, Stefan Bender Page 33
FX as an Asset Class: Summary FX is an ideal market for active participants and return seekers - Liquid, deep, well-developed market which requires minimal capital - Large number of market transactions which are not profit motivated - FX specialist managers have persistently generated positive excess return Currency manager returns are additive to existing asset portfolio returns - Currency excess returns are uncorrelated with traditional asset classes (e.g. fixed income, equity) Multi-Manager approach captures the full potential - Intra-manager correlations are low thus the Sharpe ratio benefits as further managers are added - Investment style diversification can create the bullet-proof portfolio, which should perform in most market conditions - Risks normally associated with multi-manager products are managed efficiently by FXSelect Introducing the investable TOP Diversified Index - TOP Diversified methodology intelligently marries a focus on performance with diversity - Access to this index provided through familiar structured products such as a principal protected MTN or limited loss Total Return Swap Dublin, 7th September 2006 Peter Griep, Jörg Isselmann, Stefan Bender Page 34