Cannes, France) - Measuringriskin private markets · 2020. 2. 4. · ¡ Pro-cyclicality ¡...

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Measuring risk in private markets Prof Dr Cyril Demaria IPEM // Cannes // January 30, 2020

Transcript of Cannes, France) - Measuringriskin private markets · 2020. 2. 4. · ¡ Pro-cyclicality ¡...

Page 1: Cannes, France) - Measuringriskin private markets · 2020. 2. 4. · ¡ Pro-cyclicality ¡ Under-reaction ¡ Vintage auto-correlations Note: thisisaworkin progress, productof a book

Measuring risk in private markets

Prof Dr Cyril Demaria

IPEM // Cannes // January 30, 2020

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20 years of experience in private markets

• Research: Executive director in charge of private markets research, UBS WM CIO

• Investments: venture capital fund manager, former CIO of Tiaré Investment Management AG

• Advisor to the President of CASDEN-Banque Populaire, a Swiss pension fund and a MFO

• Expert for SECA, France Invest, InvestEurope and CAIA

Six books on private equity, among which:

• Introduction to private equity, Wiley, 2020, 3d ed. (trans.: Portuguese, Spanish and Mandarin)

• Asset allocation and private markets, Wiley, forthcoming 2020

• Private equity fund investments, Palgrave, 2015

Prof Dr Cyril DemariaPartner, Head of Private Markets, Wellershoff & Partners

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AgendaMeasuring risk in private markets

1. Asset price volatility is irrelevant to measure risk

2. What matters: potential losses

3. Strategy- and execution-related risk

4. Selection risk

5. What about... liquidity risk?

6. Conclusion

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Asset price volatility is irrelevant to measure risk

Not only in private markets, but also in general

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Used as a measure of risk, asset price volatility assumes:¡ Frequent and seamless tradability (so-called « liquidity »)¡ Normal distributions of returns (to run simulations such as Monte-Carlo)è Not applicable to private marketsè Instruments used for listed assets are not relevant (nor Sharpe ratios, etc.)

Private market assets are « less liquid » by construction¡ The liquidity horizon is the third dimension of investing (next to risk & return)¡ Liquidity horizons are predictable: the variability around them is the actual risk

è Focus on what matters to investors: losses of capital and variability of results¡ How much capital could I loose? (simplified value-at-risk assessment)¡ How do returns evolve due to macro and other factors? (strategy assessment)¡ What is my selection risk? (skillset assessment)¡ What is the actual evolution versus the plan? (execution & liquidity risk)¡ (Other, yet to be defined: credit risk for leveraged strategies?)

Volatility of asset prices is irrelevant to measure risk

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PE: less volatile than the stock exchange

• Since 2007, LBO and Growth capital funds apply mark-to-market rules• VC, distressed debt and turn-around capital keep the historical cost ruleè Volatility is not a relevant measure of risk in PE (illiquidity + fund shield)

Source: Preqin, S&P, Wellershoff & Partners, 2018.

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324 285 271 349 419 496630

837 743904

1106 12001382

1512 1552 1635 1744

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2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017

USDbn

Valueofcompaniesinportfolio(unrealizedvalue) S&P500

Compared quarterly evolution of major stock indexes and PE NAV

S&P 500 2008 = 100

Historicalcost FMV

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Performance distribution is not normal

Sample: 5000 direct US investments. 300 European VC funds and 618 funds of funds.Source: Weidig & Mathonet/Thomson VentureXpert, 2003, Wellershoff & Partners/Cambridge

Associates, 2017.

Dispersion of returns in VC direct (US), funds (Europe) and funds of funds (generalist)

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Distributed to Paid-In Directs Funds Funds of funds

Fund-of-funds are highly concentrated also skewed.

Direct highly skewed, 30% of investments are total losses!

Extreme profits for direct.Healthy profits for fund.

Funds are less skewed and widespread.

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8Source : Cambridge Associates, Wellershoff & Partners, 2017.

The third dimension of investment: liquidity horizonDispersion of PE strategies based on their performance and duration

• PE: time-to-liquidity is generally of 3.5 to 5.5 years• Possibility to assess the historical and current variation around the reference pointè Portfolio construction can benefit from using this dimension

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Misleading notions of "illiquidity risk" and "illiquidity premium" to be given up¡ "Illiquidity risk" refers to variable and unpredictable shifts in tradeability of assets è not

applicable to private markets¡ "Illiquidity premium" refers to reward for investors giving up their ability to freely trade

assets (fixed income) è not applicable to private equity/real assets

Sources of risk are to be found elsewhereØ Measurable¡ Historical losses (frequency and amount)¡ Divergence from average: pooled returns, top/bottom performers, vintage, liquidity

Ø More difficult to assess¡ Concentration and contagion risk (diversification)¡ Behavioural biases (home, prospect theory, overconfidence, timing, fashion/fads,

representativeness, aversion to ambiguity, under-reaction to information, noise)¡ Commitment (intrinsic risk)

Consequences

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What matters: potential losses

Assessing frequency and amounts at stake

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Losses Profits

Distribution of private equity funds-of-funds based on their IRR

Frequency and losses in private equityUsing funds-of-funds as a proxy for private equity index-fund

N = 346. Source: Wellershoff & Partners/Cambridge Associates, 2017. Data as of Q2/2016.

• Low loss ratio, and limited losses• PE = less risky than listed assets!

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Strategy- and execution-related risks

The variation of pooled returns and the divergence of individual vintage years

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Strategy-related risk: a macro aspect

Source: Cambridge Associates, Wellershoff & Partners, 2018.

Evolution of the pooled average TVPI of global small and mid-size LBO (fully realized)

• Significant variation of performance over time (macro-related risk)• No loss on a pooled-average basis (but CA data is skewed upwards)è Important for portfolio construction and scenario modelling

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Multiple (TVPI)

Strategy- related risk

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14Source: eFront Insight, Wellershoff & Partners, 2018.

Evolution of the TVPI of active LBO funds compared to historical average

Strategy-related risk: individual vintage years

• Tracks active vintage years è benchmarks VY and individual funds• Usable to assess opportunities on the secondary market as wellè Use for tactical purpose and active portfolio management

Historical average

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Mutiple (TVPI)

Quarters

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Selection risk

Extreme and most frequent selection risk

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16Source: Cambridge Associates, Wellershoff & Partners, 2018.

Evolution of the top/bottom 5% & 25% TVPI of small and mid-size LBO (fully realized)

• Selection risk is not symmetrical, nor constant• Even worse performers can do well… and are more stable è less « risky »?è Higher performers exhibit a higher dispersion

Assessing selection risk

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Multiple (TVPI)

Top 5% Top 25% Bottom 25% Bottom 5%

Extreme selection risk

Most frequent selection risk

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17Source: Cambridge Associates, Wellershoff & Partners, 2019.

Correlation of TVPI and TVPI spread (5%) of small and mid-size LBO (1986-2005)

• There is a direct link between TVPI and extreme selection risk• Risk is related to the maturity of funds è limits the assessment of recent fundsè Possible to calculate a simplified/adjusted equivalent of Sharpe/Sortino ratios?

The acid test: risk and return correlation (1/2)

R² = 0.36367 R² = 0.42291

R² = 0.87918

R² = 0.49537

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TVPI spread (5%)

1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 All Linear (All) Linear (93-99) Linear (00-05) Linear (87-92)

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18Source: Cambridge Associates, Wellershoff & Partners, 2019.

Correlation of TVPI and TVPI spread (25%) of small and mid-size LBO (1986-2005)

• There is a direct link between TVPI and most frequent selection risk• As time goes by and the industry matures, the relationship increases

The acid test: risk and return correlation (2/2)

R² = 0.18168 R² = 0.53206

R² = 0.92178 R² = 0.06857

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TVPI

TVPI spread (25%)

1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 Linear (All) Linear (93-99) Linear (00-05) Linear (87-92)

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What about... liquidity risk?

Liquidity is a dimension of investment: risk can be assessed

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20Source: Cambridge Associates, Wellershoff & Partners, 2018.

Correlation of TVPI and time-to-liquidity of small and mid-size LBO (1986-2005)

• No relationship between performance and time-to-liquidityè Relationship independent of the period considered

Liquidity: independent from returns

R² = 0.00635

R² = 0.41819 R² = 0.32093

R² = 0.0079

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TVPI

Time-to-liquidity 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 Linear (All) Linear (93-99) Linear (00-05) Linear (87-92)

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21Source: Cambridge Associates, Wellershoff & Partners, 2018.

Correlation of TVPI spread and time-to-liquidity of small/mid-size LBO (1986-2005)

• No relationship between risk and time-to-liquidityè Liquidity is not a risk in itself, but there is a liquidity risk. How to assess it?

Liquidity: independent from risks

R² = 0.01022

R² = 0.16458

R² = 0.07254

R² = 0.02721

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TVPI spread (5%)

Time-to-liquidity 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 Linear (All) Linear (93-99) Linear (00-05) Linear (87-92)

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0.00

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TVPI

Time-to-liquidity (years)

Min Average Max

VY 1993 3.23 years

Source: Cambridge Associates, Wellershoff & Partners, 2018.

Relationship TVPI and time-to-liquidity of small/mid-size LBO (1986-2005)

• Liquidity risk can be understood as a continuum: 3.23 to 6.48 years• Average is 4.24 years, the pivot for portfolio constructionè Lower and higher liquidity thresholds are the risk to consider

Liquidity: measuring risks

VY 19876.48 years

4.24 years

Risk: shorter durationConsequence: opportunity cost

Risk: longer durationConsequence: payout shortfall

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Conclusion

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Conclusion

Positive features of these instruments¡ They can be applied to listed assets¡ They are compatible with mid- to long-term investment horizons¡ They support the set-up of ratios (Sortino equivalent) with bespoke thresholds (0, minimum

return)

More pratical measures could be identified¡ Concentration risk¡ Pro-cyclicality¡ Under-reaction¡ Vintage auto-correlations

Note: this is a work in progress, product of a book under way

Thank you for your attention!

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