Connecting Markets East & West

Vol Risk Premia in Equities

“Selling Vol” or Earning a Risk Premium?

Dr Nick Firoozye Derivative Research +44-207-102-1660 [email protected]

See Disclosure Appendix A1 for analyst certifications and important disclaimers.

May 2015 © Nomura International plc Table of Contents

 Everyone is short vol

 Smart money sells vol

 Vol as insurance: when should you sell vol and which vol should you sell?

 Vol risk premia are pervasive

 Closing thoughts

1 Everyone is short vol

But not everyone is getting paid for it! You’re short even if you don’t know it!

 Almost all asset classes are short vol

. Credit is short vol

. Equities are also short vol

. In low rates, govies are short vol

. MBS is short vol

 General Rule : if you’re making a return, you probably sold someone some sort of option

3 Investors are already selling volatility via credit

In theory long credit is short a put on the assets of a firm (Merton 1974)

The “Merton model” of credit risk The empirical evidence supports the theory in the US

125 US HY Credit US Equity Volatility Risk Premium

120

115

110

105 Cumulative excess returns excessCumulative 100

95

90

Source: Merton 1974, On the pricing of corporate debt: The risk structure of interest rates, Journal of Finance, Bloomberg, Nomura. HY Credit is CDX HY on-the-run index. US equity volatility risk premium is short variance 4 swaps on S&P 500. Empirically, equities are short vol

Going short volatility has a very similar performance to going long equities.

Short VIX vs Long S&P 500 108 S&P 500 Short VIX

106

104

102

100

98

96 Jan-05 Jan-06 Jan-07 Jan-08 Jan-09 Jan-10 Jan-11 Jan-12 Jan-13 Jan-14 Jan-15

Same Risk, Different Premia

5 Source: Bloomberg In low rates environments, govies are short vol

USD front-ends showed a strong comovement in low rates Comovement is even stronger in low yield market like Japan

7 300 2 160

6 250 Basis Point Basis Volatility Basis Point Basis Volatility 1.6

120 5 200 4 1.2 150 80 3 0.8

100 Swap(%) rate 2 Swap(%) rate 40

0.4 1 50

0 0 0 0 2001 2003 2005 2007 2009 2011 2013 2001 2003 2005 2007 2009 2011 2013 Low rates periods USD 1m2y Swap (lhs) USD 1m2y Vol (rhs) JPY 1m5y Swap (lhs) JPY 1m5y Vol (rhs)

Fisher Black suggested at ZIRP bonds turn into options on future policy rates Higher vol = higher rates and steeper curves

ZCB Yield Curve Simulation Say x(t) is the shadow rate1 and r(t) is the short rate. 1.2 Volatility = 2% dxt  (x,t)dt dWt 1

Volatility = 1%

rt  max(0, xt ) 0.8

Hence, ZCB yield slope depends on the volatility: 0.6 Yield(%) 0.4 yT  log( ET [exp( rsds)]) ~  T  0.2

0 yT  yT ~  ( T1  T2 ) 1 2 0 1Y 2Y 3Y 4Y 5Y 6Y 7Y 8Y 9Y 10Y

Source: Nomura Research, Bloomberg 6 1: Shadow rate is defined as the short rate without cash-and-carry constraints Mortgages (MBS) – also short volatility

Duration is the main component in MBS returns Optionality drives the outperformance of MBS

15% Unexplained 3y10y MBS Returns Decomposition 1m10y Credit 5% Duration 10% 4%

Unexplained 5% 3% Vega Gamma 2% 0% Credit

(annualized) 1% Duration

-5% 0%

Rolling Rolling 1y MBS returns Averagereturns (p.a.) -1% -10% MBS Decomposition

* Sample period: Aug 2005 – Jul 2014

Duration and optionality help to replicate MBS returns MBS optionality replaced by iVRP outperforms

210 155

190

145 )

)

100 170

135 100 125 150 115 MBS 130

105 Agency non-callables = index (base (base index = = index (base Agency non-callables + 1m10y + 3y10y 110 95 returns excess Cumulative MBS Agency non-callables + iVRP USD Select Cumulative excess returns returns excess Cumulative 90 Jan-02 Jan-04 Jan-06 Jan-08 Jan-10 Jan-12 Jan-14

Source: Citi Yieldbook, Nomura Research 7 * Agency non-callables returns are adjusted to match the same duration as MBS. Smart money sells vol! Wait a second!

Didn’t Buffett call Derivatives “Financial Weapons of Mass Destruction”?

Didn’t Lehman fall because they were short vol?

Source: Wikimedia (http://commons.wikimedia.org/wiki/File:Warren_Buffett_KU_Visit.jpg) and WikiMedia (http://commons.wikimedia.org/wiki/File:Lehman_Brothers.svg) 9 The insider’s story

Buffett Sold Vol

$4.2bn

Lehman Bought Vol

OTM puts “worst of” (SPX, NKY,SX5E) basket

Source: see Matt Levine, Lehman Brothers Maybe Sold Warren Buffett a Rainbow, Bloomberg View, 6 Feb 2014 and quoted sources. 10 Why did Buffett sell vol?

Derivatives = Insurance!

Our insurance-like derivatives contracts*, … are coming to a “ close…….almost certain to realize a final ‘underwriting profit’

- Warren Buffett ” * Equities puts, CDO Tranches, CDS, etc

11 Source: Nomura Research Vol as Insurance

When should you sell it and which vol should you sell? Selling vol usually makes money

USD 1m10y

• Historically, implied volatility

300 tends to exceed realized volatility 1m implied volatility 250 over the long term. 1m actual realised volatility 200 • In more than 70% of cases, implied volatility was greater than 150 realized volatility.

BasisPoint Volatility 100 • Average gain is 11.3bp and 50 positive as well

0

100 1m implied volatility - 1m actual realised volatility (80,100) 80 Underw riting Profit (60,80) 60

(40,60) Positive risk 40 premia (20,40) 20 (0,20) 0 (-20,0) -20 (-40,-20) -40 BasisPoint Volatility (-60,-40) -60 Payout on Policy (-80,-60) -80 <-80 -100 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012 2014 40% 30% 20% 10% 0%

Observations (%)

Source: Bloomberg, Nomura. The 1m10y swaption straddle implied volatility used in the above analysis is derived from the price of an ATMF 1m10y swaption, and the realised volatility is computed as being the actual realised volatility of the underlying 10y forward swap from the start date to the expiry date of the corresponding swaption straddle. The analysis is done on a daily basis and based on historical data from May1994 to Sep 2014. 13 When should you sell vol?

Simple indicators improve the short gamma performance consistently

1.6 1.4

1.2 1.0 S&P 500 0.8 EuroStoxx 0.6 Nikkei

Sharperatio 0.4 Global 0.2 0.0 Short only Short using Indicator A Short using Indicator B Short using Indicator C

Global Equity Volatility Risk Premia

105

104

103

102

101

100 Cumulative excess return excess Cumulative 99 2002 2004 2006 2008 2010 2012 2014 Short only Short using Indicator A Short using Indicator B Short using Indicator C 14 Source: Nomura Research. The global portfolio consists of 33% S&P 500, 33% EuroStoxx and 33% Nikkei. The sample period is Jan 2002 to Dec 2014. For comparison purpose, the volatility of returns are rescaled to 5%. Styles make everything better!

Styles without timing improves diversified portfolio in rates

165 2 Global iVRP Select Index Aggregate Select 155 Global iVRP Aggregate Index

145 1.5

135

125 1

115 Sharperatio 105 0.5

Cumulative excess returns excess Cumulative 95 85 0 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 USD iVRP EUR iVRP JPY iVRP Global iVRP

Styles without timing improves diversified portfolio in FX

0.9 165 Aggregate Select Global FX VRP Select Index 0.8 155 Global FX VRP Aggregate Index 0.7 145

0.6 135 0.5 125 0.4 115 0.3

105 Sharperatio 95 0.2

Cumulative excess returns excess Cumulative 85 0.1 75 0.0 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 EURUSD VRP USDJPY VRP GBPUSD VRP Global VRP Source: Nomura Research. The sample period is Jan 2001 to Jan 2015. The iVRP Aggregate index sells straddles on 1m/ 3m expiries + 2y/5y/10y/20y/30y tails across USD/EUR/JPY, and delta-hedged until expiry. The FX VRP 15 Aggregate index. The FX VRP Aggregate index sells straddles on 1w/1m/ 3m/ 6m expiries and delta-hedged until expiry. Which vol should you sell?

S&P 500 OTM call outperformed USD 1m10y ATM straddle swaption outperformed

1.00 30% 1.5 91

90 1 25% 89 0.80

0.5 88

20%

87

0.60 0 86 15% 85 Short Calls Sharpe Ratio (LHS) -0.5

0.40 SharpeRatio

SharpeRatios 84 Implied(bps) Vol Short Puts Sharpe Ratio (LHS) ImpliedVolatility 10% Short Receiver Sharpe Ratio (LHS) -1 83 SPX Sharpe Ratio (LHS) Short Payer Sharpe Ratio (LHS) 0.20 82 5% -1.5 Average Implied Vol (RHS) Short Straddle Sharpe Ratio (LHS) 81 Implied Vol (RHS) 0.00 0% -2 80 90 95 100 105 110 -50 -25 0 25 50 Strike Strike OTM Puts OTM Calls OTM Receivers OTM Payers

16 Source: Nomura Research. The sample period for equities vol/ underlying is1998 to 2015. The sample period for rates vol/ underlying is 2010 to 2015. Do NOT sell vol when vol is high!

Performance of Equities VRP Performance of USD 1m10y Swaption (Rates) VRP 3.0 1.4

2.5 1.2

2.0 1.0

1.5 0.8

1.0 Shapreratio 0.6

Sharperatio 0.5 0.4

0.0 0.2

-0.5 0.0 Low-vol Bucket Mid-vol Bucket High-vol Bucket Low-vol Bucket Mid-vol Bucket High-vol Bucket Performance of EURUSD 1m (FX) VRP 1.00

0.80 Moderate vol does best 0.60 0.40 Now:

Sharperatio 0.20 • FX is High

0.00 • Rates is Mid

-0.20 • Equities is Low Low-vol Bucket Mid-vol Bucket High-vol Bucket

17 Source: Nomura Research, Bloomberg. The sample period is Jan 2006 to Jan 2015 across equities, rates and FX. Sharpe ratio is calculated by monthly data. Vol Risk Premia are Pervasive

Diversification and outperformance Vol risk premia exist across equity markets

In Europe as well, VRP outperformed significantly

EuroStoxx 50

120

Vol Risk Premia Long Only

115

110

105

100

95 Mar-01 Mar-03 Mar-05 Mar-07 Mar-09 Mar-11 Mar-13

19 Source: Nomura Research, Bloomberg. For comparison purpose, the volatility of returns are rescaled to 1%. Vol risk premia exist across equity markets

Short gamma strategies outperformed across equity markets (vol scaled and centered indices)

S&P 500 EuroStoxx 50 Nikkei 225 Kospi 200 120 120 112 Vol Risk Premia Vol Risk Premia 110 Vol Risk Premia Vol Risk Premia

110 Long Only Long Only Long Only Long Only 115 115 108 108 106 110 110 106 104 104 105 105 102 102 100 100 100 Cumulative excessreturns 98 100

95 95 96 98

Hang Seng Nifty 50 ASX 200 MSCI EM 108 106 Vol Risk Premia Vol Risk Premia 116 113 Vol Risk Premia Vol Risk Premia Long Only Long Only 105 106 Long Only Long Only 104 109 104 111 103 102 105 106 102 100 101 101 98 101 Cumulative returnsexcess 100

97 96 99 96 98 Mar-11 Mar-12 Mar-13 Mar-14

20 Source: Nomura Research, Bloomberg. For comparison purpose, the volatility of returns are rescaled to 1%. Equity vol premia truly diversify

Equity vol risk premia outperformed traditional equity factors

115 120 Equity Vol Risk Premia (eVRP) Equity Vol Risk Premia (eVRP)

113 Barra Low Vol Growth 115 111 S&P 500 Value Quality 109 110 Momentum 107 105 105 103 100

101

Cumulative excess returns excess Cumulative Cumulative excess returns excess Cumulative 99 95 97 95 90 May-03 May-05 May-07 May-09 May-11 May-13 Feb-01 Feb-03 Feb-05 Feb-07 Feb-09 Feb-11 Feb-13 Feb-15

eVRP Growth Value Quality Mmtm Low Vol S&P 500 eVRP Growth Value Quality Mmtm Low Vol S&P 500 eVRP 100% Ret (p.a.) 20.6% -4.7% 3.6% -3.7% -3.7% 5.8% 4.0% Growth 22% 100% Vol (p.a.) 20.4% 8.2% 8.6% 8.4% 13.4% 11.7% 15.2% Value 2% -61% 100%

Sharpe 1.01 -0.57 0.42 -0.44 -0.27 0.49 0.27 Quality -34% 10% -21% 100% Momentu -7% 43% -70% 48% 100% MDD -55.6% -71.3% -32.9% -64.6% -72.2% -57.8% -75.8% m Low Vol 50% 0% 32% -40% -17% 100% Calmar 0.37 -0.07 0.11 -0.06 -0.05 0.10 0.05 S&P 500 59% 4% 24% -57% -35% 88% 100%

21 Source: Nomura Research. The sample period is Feb 2001 to Apr 2015. Vol risk premia exist across asset classes

Short gamma strategies outperformed across asset classes and are decorrelated

300

- eVRP S&P 500

270 iVRP (USD) US 10Y Treasury

400 240

210

scaled) 180

150 Cumulative excess returns excess Cumulative Cumulative excess returns (log returns excess Cumulative 120

40 90 01 02 03 04 05 06 07 08 09 10 11 12 13 14 95 97 99 01 03 05 07 09 11 13 15

150 Correlation eVRP iVRP (USD) FX VRP S&P 500 Treasury FX Carry 140 eVRP 100% 130 iVRP (USD) 16% 100% 120 FX VRP 23% 28% 100%

110

S&P 500 52% 16% 25% 100% Cumulative excess returns excess Cumulative 100 FX Global VRP Treasury -20% 3% -16% -35% 100% G10 FX Carry 90 FX Carry 21% 9% 27% 23% -18% 100% 10 11 12 13 14 15 22 Source: Nomura Research. G10 FX Carry is the Nomura G10 FX Carry Index. Correlation is calculated based on Jan 2001 to Jan 2015. Performance of cross-asset VRP

Cross-Asset VRP using Style-based investing gives superior performance 500

450 Cross-asset VRP Aggregate Cross-asset VRP Select Since Since 5Y 1Y 5Y 1Y Feb-2001 Feb-2001 400 Annualized Return 7.3% 9.3% 5.4% 10.8% 11.8% 8.0% Volatility 6.9% 7.0% 3.6% 6.9% 7.7% 4.0%

Sharpe Ratio 1.06 1.33 1.49 1.58 1.54 1.97 350 Max Drawdown 34.7% 11.8% 2.9% 25.2% 12.6% 3.4% Calmar ratio 0.21 0.79 1.87 0.43 0.93 2.31 300

250 Cumulative excess returns

200

150

100

Cross-asset VRP Select Cross-asset VRP Aggregate 50 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15

Source: Nomura Research. The sample period is Feb 2001 to Mar 2015. Cross-asset VRP Aggregate portfolio consists of 33.3% Global iVRP Aggregate + 33.3% Global FX VRP Aggregate + 33.3% eVRP. Each component is 23 leveraged to 10% vol. Cross-asset VRP Select portfolio consists of 33.3% Global iVRP Select+ 33.3% Global FX VRP Select + 33.3% eVRP. Each component is leveraged to 10% vol. Closing thoughts Conclusions

Volatility = Insurance

Everybody is short – not everybody is getting paid for it.

Not a question of whether to sell vol, but when to sell it

Some vols are better than others

Vol Risk Premia are pervasive

Vol is an asset class you should not ignore

25 Appendix: Vol Risk Premia – Selling Gamma

Selling vol—short gamma strategies,.

. We can sell options, and delta hedge, mark-to-market regularly

. This is called “shorting Gamma” or obtaining the Volatility Risk Premia

. Effectively, we sell insurance to the market – tail-risk insurance. In general, it is commensurate with the risk.

휕2퐶(푆,푡) Note that Gamma, 훤 푡 = is positive for a long call or put position, and negative for a short position. 휕푆2

Black-Scholes Theory

. According to the Black-Scholes robustness theory, a short variance swap position has the following theoretical PnL (right) VRP 푇 1 2 2 퐸[푃&퐿] = Γ 푡 휎퐼푚푝 푡 − 휎푅푒푎푙 푡 푑푡 . Hence, selling variance swap allows to capture the Volatility Risk Premia. 0 2

. For a variance swap 훤 푡 =constant, so it captures the pure vol risk premium.

Gamma: Volatility Risk Premia . For other markets where variance swaps do not exist, we have to carefully Risk/Exposure balance risk across entry points (although we cannot alter positions after entry due to transaction costs).

26 Source: Nomura Research Appendix A-1

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