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+ Implied Volatility Index Kyu Won Choi March 2, 2011 Econ 201FS
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Implied Volatility Index

Feb 23, 2016

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Implied Volatility Index . Kyu Won Choi March 2, 2011 Econ 201FS. Implied Volatility Index. Implied Volatility Index With observed option prices, market’s estimate of the volatility is found Black-Scholes-Merton pricing formula C t observed = C t BSM (p(t), K, T-t, r,  t ) - PowerPoint PPT Presentation
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Page 1: Implied Volatility  Index

+

Implied Volatility Index Kyu Won Choi

March 2, 2011Econ 201FS

Page 2: Implied Volatility  Index

+ Implied Volatility Index

Implied Volatility Index With observed option prices, market’s estimate of the volatility is

found Black-Scholes-Merton pricing formula

Ctobserved = Ct

BSM (p(t), K, T-t, r, t) Depending on the validity of model

Chicago Board Options Exchange (CBOE)’s Market Volatility Index VIX: Model-free implied volatility for S&P 500 index

Developed by Whaley (1993) VXN: Model-free implied volatility for Nasdaq 100 index

Since September 2003 Expected future market volatility over the next 30-day of risk-

neutral world

Page 3: Implied Volatility  Index

+Contents

Leverage Effect & Volatility Feedback Effect S&P 500 and VIX Nasdaq 100 and VXN

Jump Detection using RV and BV Difference between Annualized RV and Annualized VIX

Volatility Risk Premium

Relationship between VIX and VXN

Page 4: Implied Volatility  Index

+Data Set

Daily closing values of the VIX from 1/3/2000 to 12/31/2010 Total of 2767 days

S&P 500 Prices from 1/3/2000 to 12/31/2010 Nasdaq 100 Daily Closing Prices from 9/22/2003 to

12/31/2010 Total of 1834 days

Daily closing values of VXN from 9/22/2003 to 12/31/2010

Page 5: Implied Volatility  Index

+ S&P 500 Index and VIX

Page 6: Implied Volatility  Index

+ S&P 500 Index Returns

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+Returns and Volatility

Negative and asymmetric relationship btw returns and volatility Asymmetric effect when returns decline/volatility increases

Leverage Effect: negative (positive) returns increase financial leverage, stocks riskier, driving up volatility (down) impact of the lagged returns on the current volatilities (current

returns on future volatilities)

Volatility Feedback hypothesis: an increase in volatility leads to a decrease in return impact of the current volatilities on the future returns Time-varying risk premiums Can use GARCH model

Page 8: Implied Volatility  Index

+Correlation between S&P 500 Index Returns and VIX (negative)

Page 9: Implied Volatility  Index

+Between return and change in VIX(asymmetry)

Page 10: Implied Volatility  Index

+Realized Volatility of S&P 500

Page 11: Implied Volatility  Index

+Bipower Volatility of S&P 500 Index

Page 12: Implied Volatility  Index

+Relative Jump Contribution

Page 13: Implied Volatility  Index

+Annualized VIX

Page 14: Implied Volatility  Index

+The Difference btw Annualized RV and Annualized VIX

Page 15: Implied Volatility  Index

+ Nasdaq 100 Index and VXN

Page 16: Implied Volatility  Index

+ Nasdaq 100 Returns

Page 17: Implied Volatility  Index

+Correlation between NDX Returns and VXN (negative)

Page 18: Implied Volatility  Index

+Movement of VIX and VXN

Page 19: Implied Volatility  Index

+Scatter Plot of VIX and VXN

VIX VXNMean 20.66

2524.1188

Standard Deviation

10.7854

9.6296

Skewness 2.2256

2.3771

Kurtosis 9.0324

10.3726

Page 20: Implied Volatility  Index

+Further study VXD (based on DJIA), VSTOXX in France, VDAX-NEW in Germany

Frequency data of them Look for the relationship

Jump option pricing models Co-jumping process ? An implied volatility index follows a stochastic process Option valuation for stochastic volatility Time-varying risk premium?