The Volatility Premium Puzzle

Slides:



Advertisements
Similar presentations
Model Free Results on Volatility Derivatives
Advertisements

© 2002 South-Western Publishing 1 Chapter 6 The Black-Scholes Option Pricing Model.
1 Introduction to Binomial Trees Chapter A Simple Binomial Model A stock price is currently $20 A stock price is currently $20 In three months it.
Optimal Option Portfolio Strategies
1/19 Motivation Framework Data Regressions Portfolio Sorts Conclusion Option Returns and Individual Stock Volatility Jie Cao, Chinese University of Hong.
Introduction Greeks help us to measure the risk associated with derivative positions. Greeks also come in handy when we do local valuation of instruments.
Valuation of Financial Options Ahmad Alanani Canadian Undergraduate Mathematics Conference 2005.
Derivatives & Options Historical Topics (Internal to the Corp) 1 - Capital Budgeting (Investment) 2 - Capital Structure (Financing) Today We are leaving.
Spreads  A spread is a combination of a put and a call with different exercise prices.  Suppose that an investor buys simultaneously a 3-month put option.
CORPORATE FINANCIAL THEORY Lecture 10. Derivatives Insurance Risk Management Lloyds Ship Building Jet Fuel Cost Predictability Revenue Certainty.
1 16-Option Valuation. 2 Pricing Options Simple example of no arbitrage pricing: Stock with known price: S 0 =$3 Consider a derivative contract on S:
CHAPTER 21 Option Valuation. Intrinsic value - profit that could be made if the option was immediately exercised – Call: stock price - exercise price.
VALUING STOCK OPTIONS HAKAN BASTURK Capital Markets Board of Turkey April 22, 2003.
Chapter 5: Option Pricing Models: The Black-Scholes-Merton Model
Chapter 5: Option Pricing Models: The Black-Scholes-Merton Model
Trading the volatility ETPs
Pricing Cont’d & Beginning Greeks. Assumptions of the Black- Scholes Model  European exercise style  Markets are efficient  No transaction costs 
Basics of volatility Volatility is a huge issue in risk management.
Single Stock Option’s Seminar
Kian Guan LIM and Christopher TING Singapore Management University
Are Options Mispriced? Greg Orosi. Outline Option Calibration: two methods Consistency Problem Two Empirical Observations Results.
Fundamentals of Futures and Options Markets, 7th Ed, Global Edition. Ch 13, Copyright © John C. Hull 2010 Valuing Stock Options Chapter
2007 Page 1 F. MICHAUX CORPORATE FINANCE Financial and Real Options.
Greeks of the Black Scholes Model. Black-Scholes Model The Black-Scholes formula for valuing a call option where.
The Diversification Benefits of Volatility Russell Rhoads, CFA Instructor – The Options Institute.
Downside Risk: Implications for Financial Management Robert Engle NYU Stern School of Business Tilburg April 22, 2004.
FEC FINANCIAL ENGINEERING CLUB. AN INTRO TO OPTIONS.
Questions on Readings (Closed notes). What is volatility ? It’s a statistical measure of the tendency of market to rise or fall sharply within a short.
Class Business Upcoming Groupwork Course Evaluations.
DERIVATIVES. Introduction Cash market strategies are limited Long (asset is expected to appreciate) Short (asset is expected to depreciate) Alternative.
Lecture 3. Option Valuation Methods  Genentech call options have an exercise price of $80 and expire in one year. Case 1 Stock price falls to $60 Option.
Chapter 14 The Black-Scholes-Merton Model
Option Strategies and Greeks
Undergraduate Research and Trading Club February 2, 2017
Kian Guan LIM and Christopher TING Singapore Management University
The Black- Scholes Formula
Financial Engineering
Tactics II – Volatility & Time Iron Condors
Types of risk Market risk
From Binomial to Black-Scholes-Merton
Agricultural Commodity Marketing and Risk Management
CHAPTER 21 Option Valuation Investments Cover image Slides by
Option Valuation Chapter 21.
Individual Investors and Market Efficiency in Derivative Markets: The KOSPI 200 Index Option Market Case Aug. 21, 2014 APAD 2014 Special Symposium Discussant:
Centre of Computational Finance and Economic Agents
Market-Making and Delta-Hedging
Chapter 18 Option Valuation.
Chapter 12 Binomial Trees
Chapter 18 Valuing Options Principles of Corporate Finance
Option Valuation CHAPTER 15.
INDEX OPTIONS Are almost always European Options
Options Chapter 16.
DERIVATIVES: Valuation Methods and Some Extra Stuff
Dispersion.
The Black-Scholes-Merton Model
Chapter 15 The Black-Scholes-Merton Model
WEMBA Real Options What is an Option?
Types of risk Market risk
Jainendra Shandilya, CFA, CAIA
Valuing Stock Options: The Black-Scholes-Merton Model
Chapter 13 Binomial Trees
Equity Option Introduction and Valuation
Chapter Twenty One Option Valuation.
VXX made Easy: What is the VXX?
Chapter 15 The Black-Scholes-Merton Model
Corporate Financial Theory
Introduction to Derivatives
And International ETFs
Chapter 13 Binomial Trees
Presentation transcript:

The Volatility Premium Puzzle Eric Falkenstein Jan 3 2017 The Volatility Premium Puzzle

S&P500, Straddle, Variance Swap returns 1986-2016 Monthly data on Straddles, SP500, Variance Swaps S&P500 Sell Straddle Short VarSwap AnnRet 10.6% 2.56 2.80 AnnStdev 15.1% 3.18 3.46 Sharpe 0.70 0.81 Beta -0.02 0.48

Vol Risk Premium Internationally

How to Trade Selling gamma Not trivial to implement in real time Variance swaps Options (eg, straddles) Futures & ETFs on implied vol Not trivial to implement in real time

What is the essence of the volatility premium? Bias in expected volatility (implied volatility)? Autocorrelation in SPY? Time varying autocorrelation in SPY? Fat tails (jumps)? Skew? Option Term (1 week vs. 1 year)?

Straddle Replicate Straddle by momentum trading At-the-money long put and call is long straddle If actual volatility > implied volatility long straddle makes positive profit

Straddle: Black-Scholes S=Stock Price T=Option maturity (trading days to expiry)/252 =implied volatility N() =Normal cdf of standard normal c=Call=max(ST – K,0) at t=T p=Put=max(K – ST,0) at t=T

Straddle: Option Risk Neutral Valuation Assumption about stock motion Assume expected return of the stock is the risk free rate Easy to prove with binomial model Discount at risk-free rate, assume expected stock return is the risk- free rate

Straddle: Option Gamma and Theta Daily pnl=gamma pnl + theta pnl + vega pnl + …. Theta is negative of gamma: you pay for gamma

Straddle Term and Profitability 2010+ Weekly Monthly AnnRet 9.21 7.21 AnnStdev 6.73 6.33 Sharpe 1.37 1.14 2006+ Ann 8.90 0.42 8.20 9.81 1.09 0.04

Variance Swap A bet an actual vs. expected variance Notional set to 100,000/(2*) to be constant 1 ‘vega’ Use Variance Swap implieds, VIX, not atm implied vol

VIX Implied 30-day volatility from Variance Swap (not atm implied) Uses option prices on range of options on S&P500 Weighted blend Square root of par variance swap rate for 30-day term Payoff to variance swap: Notional*(realized variance – strike) Annualized Data on VIX started in 1986 Futures on VIX started in 2006 ETF on VIX futures—VXX—started in 2009

VIX: VXX ETF vs. VIX Futures Use Adjusted futures prices Adjusted for ‘roll’ from one contract to next as expiry approaches VXX targets 30-day futures Data from Feb 2009-Dec 2016 VXX Futures AnnRet 87.5% 84.6% AnnStdev 62.8% 66.9%

VIX: Volatility Curve Generally in Contango But not always, especially when vol is very high (eg, October 2008)

VIX: 1 Month ATM Implied < VIX VIX is a function of several option, not just at the money Volatility generally higher for puts: skew in implied volatilities at-the-money implieds

Comparing Volatility Strategies Strategies normalized to have same volatilities SPY Straddle VarianceSwap VXX AnnRet 1.74 3.92 2.45 1.59 AnnStdev 3.61 3.59 3.63 3.58 Ratio 0.48 1.09 0.68 0.44 Beta 1.00 0.07 0.63 0.78

Expected Vol and SPX changes Strong negative correlation Strongest in short run

Actual Vol and SPX Extreme moves correlated with actual vol Correlation strongest in short run

Monthly, Annual vs. SPX Short Variance Swap Short Straddle Short VXX

Daily AutoCorrelation SPX returns Negative autocorrelation at high frequency 1986+ 2006+ Daily Monthly Annual stdev 18.4% 15.3% 17.5% skew -1.18 -0.62 -0.06 kurtosis 27.28 2.87 0.07 VIX^2 VIX 30-day iVol 12-month iVol 4.93% 20.05% 17.78% 19.92% 1D Actual Var 1D Actual Vol 1M Actual Vol 12M Actual Vol 4.10% 20.24% 14.80% 17.60% Daily AutoCorrelation 1926+ 1994+ 2003+ 1-day 6.87% -3.93% -8.23% 2-day -0.44% -6.21% -8.28% 3-day 1.44% -6.38% -7.36% 4-day 1.06% -9.17% -10.27% 5-day 0.30% -10.71% -11.39%

Trading costs SPY: 0.01 bid-ask for $216 stock 10-day atm option 0.01 on 0.45 option 1 year atm option 0.16 on $14.00 option

Daily data available to students Fed Funds, 10yrBond, Utility Index, VIX and SPX daily to 1986 1986- 10 day, 1month and 12 month SPY at-the-money implied volatility 2006- Weekly SPY option data 2010- Current Transaction cost estimates

Documents JPMorgan white paper on Variance Swaps CBOE on VIX Nomura on the Volatility Risk Premium

Project Derive optimal strategy ratio based on an assumption about a deeper pattern Show—empirically and theoretically—how deep pattern drives volatility premium Argue in what way it complements or substitutes for equity risk premium What is optimal? Not as obvious as you would think. Max Sharpe Ratio Max Information Ratio Best complement to S&P500 Other….