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Modelling Redemption
Risk in Funds of Hedge
Funds
Drago Indjic
Hedge Fund Centre
6 November 2008, Quant Europe
Indjic – 6 November 2008        Page 1
Overview

 • Origin of the study: hedge fund data quality surveys
 • Fund of hedge funds products
    o Inaccurate redemption terms
    o Unenthusiastic industry response in 2007
 • Autumn 2008
    o Rapid shrinkage of hedge fund industry
 • Market mismatch
 • Discussion




Indjic – 6 November 2008
Is is too late to save FoHF?


 • Quant Europe 2003: hedge fund risk factors
 • Today: liquidity
 • Quant tools became irrelevant in new regime




Indjic – 6 November 2008
Fund of Hedge Funds Products


 • Distribute over 40% of HF assets ($0.8t)
   o Regulatory artefact: exclusive retail distribution (risk)
   o Not “absolute return” - losing money and AUM
   o Not agile, almost passive exposure to Beta factors
   o ~$20b in fees shared between >1000 products
   o Over-concentration: AUM of Top 50 FoF firms > $450b
      yet limited capacity
 • We know about their Beta - what about liquidity risk?




Indjic – 6 November 2008
IOSCO – June 2008


 • “The provision of a regulatory requirement that there be a
   real consistency between a fund of hedge funds’ liquidity
   and that of its underlying hedge funds (..) It is noteworthy
      that in the opinion of a few experts, the funds of hedge
      funds’ liquidity is not always an issue and may be a
      means to protect retail investors’ interests”
 • Protecting FoHF from “fund runs”? Or clients?




Indjic – 6 November 2008
Positive Returns and Flows Have Stopped




Indjic – 6 November 2008
October 2008


 • Fund is legal entity with contractual liquidity obligations
 • “Pre-emptive redemptions”
    o FoHF have put redemption notices anticipating the
      redemptions from their retail clients or as requested by
      leverage providers
    o Hedge funds have responded
         “gates”, fund restructurings, liquidating accounts, in-
          kind redemptions etc
 • In many cases redemptions suspended




Indjic – 6 November 2008
FoHF - What If?


             Assets               Liabilities
                                                If (with non-zero probability)
 HF 1                      FoF Class A          Net Flows <0 D(Assets)>D(Liabilities)
 HF 2                                           And
                                                     Shock
 …                                              Then
 …                                              Liquidity crisis
                                                Reputation risk
 …                         FoF Class B          Possibly
 …                                              insolvency → bankruptcy

 …
 HF n-1                    FoF Class C
 HF n

Indjic – 6 November 2008
No Big Picture


 • Firms focus on currently invested funds only
    o Internal data rarely reconciled with external data
      sources; private Placement Memorandums not
      accurately mapped
    o No entity is responsible for reference data
 • Fragmented, delayed and contradictory data universe
 • London Business School and Imperial College London
   have better data analytic systems than industry
    o Multi-year academic research partnerships produced
      tailor made software tools


Indjic – 6 November 2008
Risky Data


 • Aggregated, multi vendor data
   base
        o Macro (#management companies; %
          Strategies) and micro data (flows,
          %counterparties)
        o “According to X, Y and Z vendors”
 • Leading “Rosetta stone” created at
   LBS using tailor made Soft
   Finance tools (since 2005)




Indjic – 6 November 2008
Status and Strategy Data


 • “Alive” or not?


 • Doing exactly what?


 • Hedge fund index “averages” do not make sense




Indjic – 6 November 2008
Data quality


 • Redemption conditions
    o Notice/Redemption Frequency/Lockup periods
    o Inaccurate and insufficient: >10% fields are blank
    o No FoHF holdings or strategy allocation data
 • Visualise stylised data
    o Simple “duration” = notice + redemption frequency
    o Mature FoHF portfolios – outside lock-up




Indjic – 6 November 2008
HFR Database Example


 • Most FoHF are designed around long/short equity




Indjic – 6 November 2008
CISDM Database Example


 • As in HFR it appears that “durations” are matched




Indjic – 6 November 2008
Liquid strategies




Indjic – 6 November 2008
Least liquid strategies




Indjic – 6 November 2008
Strategies & Durations


 • FoHF median “duration” is 97 days(14 days mismatch)
   but FoHF <> “market”




no standard hedge fund strategy classification, de-funct
AIMA committee (2003)

Indjic – 6 November 2008
Market Mismatch (AUM, lockup)




Indjic – 6 November 2008
Reality: Highly Evolved Ladders


 • Monthly redemptions, 45 days notice
 • Quarterly, 65 bd, 12 month Lockup
 • Quarterly, 120d, 20% gate
 • Quarterly, 60d OR Monthly 35d @ 2%
 • 1y hard Lockup, 2.5y soft lockup @ 6%, 1/3 per year, 2/3
   @ 6% with 20% gate
 • …
 • Anniversaries, side pockets, side letters …




Indjic – 6 November 2008
Real Redemption Rules




Indjic – 6 November 2008
Best Redemption Policy




Indjic – 6 November 2008
A Real Case Study (t)




Indjic – 6 November 2008
Liquidity Stress


 • Unexpected funding risk of FoHF – beyond investor redemptions

              %AUM Loss    Event and remedy
              <10%         Redemptions were normally offset by
                           subscriptions
              10%          Covered by portfolio cash or credit facility
              25%          Limits of (expensive) cash facility
              50%          Leverage halved at daily notice
              100%         Liquidation – Board request



Indjic – 6 November 2008
Instant Liquidity


 • Cash, marketable assets or robust facility
 • (Re)action preferences
    o (i) Credit facility / Leverage
    o (ii) Activate gates
    o (iii) Sell most liquid funds
    o (iv) Suspend redemptions
    o (v) Sell funds on Hedgebay
    o (vi) Seek parent (bank) help
    o (vii) Restructure or close fund




Indjic – 6 November 2008
Fair Deal for Beta?




                           ○ β(“first out”)   ○ β(all others)




Indjic – 6 November 2008
Shipping


 • Navigate in the long shadow of illiquidity




      risk and optimisation tools are irrelevant

Indjic – 6 November 2008
Impact


 • FoHF – unrolling funding crisis
 • Investors - Portfolio rebalancing “agility”
    o Strategies: δ(weights)/δ(time) → 0
    o => weights * risk_factors ~ constant for many months
    o Quality of portfolio – loss of control over Beta
 • Market – collateral damage of forced selling, influencing
   many other funds and markets




Indjic – 6 November 2008
FSA – September 2008


 • “What has been highlighted for individual funds is the
   importance of monitoring redemption risk profiles and
   managing mismatches between funding/notice periods
   and the underlying liquidity of funds”
       Hector Sants, 17 Sep 2008




Indjic – 6 November 2008
Quantitative Methods


• Formal language to describe redemption
• Simultaneous risk and liquidity optimisation
   o “cheapest, fastest Beta”
   o Partial and optimal liquidation vs risk transfer
• Stochastic analysis and optimisation
       Cash flow timing and fees scenario analysis
       Contingency finance and collateral management




Indjic – 6 November 2008
Review


 • The end of traditional FoHF business model
    o Focus on [Liquidity, Beta, Costs] products
 • Lessons
    o Extensive stress testing necessary
    o Audit contingency asset redemption schedules: NAV
      liquidity adjustments in stressed conditions
    o Alpha/Beta separation: liquid (possibly synthetic
      “clones”) and illiquid Alpha satellites
 • Future of open ended, listed products investing in illiquid
   funds – private equity “capital call” model?


Indjic – 6 November 2008
Product Dimensions


 •
                                  Liquidity


                 Counterparty

                                              BetaHF
                           Capacity

                                      Fees
      References: www.london.edu/hedgefunds

Indjic – 6 November 2008

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FoHF Liquidity - Nov 2008

  • 1. Modelling Redemption Risk in Funds of Hedge Funds Drago Indjic Hedge Fund Centre 6 November 2008, Quant Europe Indjic – 6 November 2008 Page 1
  • 2. Overview • Origin of the study: hedge fund data quality surveys • Fund of hedge funds products o Inaccurate redemption terms o Unenthusiastic industry response in 2007 • Autumn 2008 o Rapid shrinkage of hedge fund industry • Market mismatch • Discussion Indjic – 6 November 2008
  • 3. Is is too late to save FoHF? • Quant Europe 2003: hedge fund risk factors • Today: liquidity • Quant tools became irrelevant in new regime Indjic – 6 November 2008
  • 4. Fund of Hedge Funds Products • Distribute over 40% of HF assets ($0.8t) o Regulatory artefact: exclusive retail distribution (risk) o Not “absolute return” - losing money and AUM o Not agile, almost passive exposure to Beta factors o ~$20b in fees shared between >1000 products o Over-concentration: AUM of Top 50 FoF firms > $450b yet limited capacity • We know about their Beta - what about liquidity risk? Indjic – 6 November 2008
  • 5. IOSCO – June 2008 • “The provision of a regulatory requirement that there be a real consistency between a fund of hedge funds’ liquidity and that of its underlying hedge funds (..) It is noteworthy that in the opinion of a few experts, the funds of hedge funds’ liquidity is not always an issue and may be a means to protect retail investors’ interests” • Protecting FoHF from “fund runs”? Or clients? Indjic – 6 November 2008
  • 6. Positive Returns and Flows Have Stopped Indjic – 6 November 2008
  • 7. October 2008 • Fund is legal entity with contractual liquidity obligations • “Pre-emptive redemptions” o FoHF have put redemption notices anticipating the redemptions from their retail clients or as requested by leverage providers o Hedge funds have responded  “gates”, fund restructurings, liquidating accounts, in- kind redemptions etc • In many cases redemptions suspended Indjic – 6 November 2008
  • 8. FoHF - What If? Assets Liabilities If (with non-zero probability) HF 1 FoF Class A Net Flows <0 D(Assets)>D(Liabilities) HF 2 And Shock … Then … Liquidity crisis Reputation risk … FoF Class B Possibly … insolvency → bankruptcy … HF n-1 FoF Class C HF n Indjic – 6 November 2008
  • 9. No Big Picture • Firms focus on currently invested funds only o Internal data rarely reconciled with external data sources; private Placement Memorandums not accurately mapped o No entity is responsible for reference data • Fragmented, delayed and contradictory data universe • London Business School and Imperial College London have better data analytic systems than industry o Multi-year academic research partnerships produced tailor made software tools Indjic – 6 November 2008
  • 10. Risky Data • Aggregated, multi vendor data base o Macro (#management companies; % Strategies) and micro data (flows, %counterparties) o “According to X, Y and Z vendors” • Leading “Rosetta stone” created at LBS using tailor made Soft Finance tools (since 2005) Indjic – 6 November 2008
  • 11. Status and Strategy Data • “Alive” or not? • Doing exactly what? • Hedge fund index “averages” do not make sense Indjic – 6 November 2008
  • 12. Data quality • Redemption conditions o Notice/Redemption Frequency/Lockup periods o Inaccurate and insufficient: >10% fields are blank o No FoHF holdings or strategy allocation data • Visualise stylised data o Simple “duration” = notice + redemption frequency o Mature FoHF portfolios – outside lock-up Indjic – 6 November 2008
  • 13. HFR Database Example • Most FoHF are designed around long/short equity Indjic – 6 November 2008
  • 14. CISDM Database Example • As in HFR it appears that “durations” are matched Indjic – 6 November 2008
  • 15. Liquid strategies Indjic – 6 November 2008
  • 16. Least liquid strategies Indjic – 6 November 2008
  • 17. Strategies & Durations • FoHF median “duration” is 97 days(14 days mismatch) but FoHF <> “market” no standard hedge fund strategy classification, de-funct AIMA committee (2003) Indjic – 6 November 2008
  • 18. Market Mismatch (AUM, lockup) Indjic – 6 November 2008
  • 19. Reality: Highly Evolved Ladders • Monthly redemptions, 45 days notice • Quarterly, 65 bd, 12 month Lockup • Quarterly, 120d, 20% gate • Quarterly, 60d OR Monthly 35d @ 2% • 1y hard Lockup, 2.5y soft lockup @ 6%, 1/3 per year, 2/3 @ 6% with 20% gate • … • Anniversaries, side pockets, side letters … Indjic – 6 November 2008
  • 20. Real Redemption Rules Indjic – 6 November 2008
  • 21. Best Redemption Policy Indjic – 6 November 2008
  • 22. A Real Case Study (t) Indjic – 6 November 2008
  • 23. Liquidity Stress • Unexpected funding risk of FoHF – beyond investor redemptions %AUM Loss Event and remedy <10% Redemptions were normally offset by subscriptions 10% Covered by portfolio cash or credit facility 25% Limits of (expensive) cash facility 50% Leverage halved at daily notice 100% Liquidation – Board request Indjic – 6 November 2008
  • 24. Instant Liquidity • Cash, marketable assets or robust facility • (Re)action preferences o (i) Credit facility / Leverage o (ii) Activate gates o (iii) Sell most liquid funds o (iv) Suspend redemptions o (v) Sell funds on Hedgebay o (vi) Seek parent (bank) help o (vii) Restructure or close fund Indjic – 6 November 2008
  • 25. Fair Deal for Beta? ○ β(“first out”) ○ β(all others) Indjic – 6 November 2008
  • 26. Shipping • Navigate in the long shadow of illiquidity risk and optimisation tools are irrelevant Indjic – 6 November 2008
  • 27. Impact • FoHF – unrolling funding crisis • Investors - Portfolio rebalancing “agility” o Strategies: δ(weights)/δ(time) → 0 o => weights * risk_factors ~ constant for many months o Quality of portfolio – loss of control over Beta • Market – collateral damage of forced selling, influencing many other funds and markets Indjic – 6 November 2008
  • 28. FSA – September 2008 • “What has been highlighted for individual funds is the importance of monitoring redemption risk profiles and managing mismatches between funding/notice periods and the underlying liquidity of funds”  Hector Sants, 17 Sep 2008 Indjic – 6 November 2008
  • 29. Quantitative Methods • Formal language to describe redemption • Simultaneous risk and liquidity optimisation o “cheapest, fastest Beta” o Partial and optimal liquidation vs risk transfer • Stochastic analysis and optimisation  Cash flow timing and fees scenario analysis  Contingency finance and collateral management Indjic – 6 November 2008
  • 30. Review • The end of traditional FoHF business model o Focus on [Liquidity, Beta, Costs] products • Lessons o Extensive stress testing necessary o Audit contingency asset redemption schedules: NAV liquidity adjustments in stressed conditions o Alpha/Beta separation: liquid (possibly synthetic “clones”) and illiquid Alpha satellites • Future of open ended, listed products investing in illiquid funds – private equity “capital call” model? Indjic – 6 November 2008
  • 31. Product Dimensions • Liquidity Counterparty BetaHF Capacity Fees References: www.london.edu/hedgefunds Indjic – 6 November 2008