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MFM Discussion of “Structural GARCH: The Volatility- Leverage Connection” by Rob Engle and Emil Siriwardane © 2013 by Andrew W. Lo All Rights Reserved Andrew W. Lo MFM Conference October 11, 2013

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Page 1: Discussion of Structural GARCH: The Volatility-Leverage Connection by Rob Engle and Emil Siriwardane © 2013 by Andrew W. Lo All Rights Reserved Andrew

Discussion of “Structural GARCH: The Volatility-Leverage Connection”

by Rob Engle and Emil Siriwardane

© 2013 by Andrew W. LoAll Rights Reserved

Andrew W. LoMFM Conference

October 11, 2013

Page 2: Discussion of Structural GARCH: The Volatility-Leverage Connection by Rob Engle and Emil Siriwardane © 2013 by Andrew W. Lo All Rights Reserved Andrew

MFM

© 2013 by Andrew W. Lo All Rights Reserved

11 October 2013

Modigliani-Miller Proposition II:

The Basic Framework

Slide 2

Equity volatility increases linearly with leverage If debt is risky, the relationship is more complex Use option-pricing model (Merton, 1974)

Page 3: Discussion of Structural GARCH: The Volatility-Leverage Connection by Rob Engle and Emil Siriwardane © 2013 by Andrew W. Lo All Rights Reserved Andrew

MFM

11 October 2013 © 2013 by Andrew W. Lo All Rights Reserved

Slide 3

The Basic Framework

Assets Liabilities

AT

ET = Max [ AT X , 0 ]

DT = Min [ AT , X ]

AT AT

Company XYZ

Equity is a call option on the firm’s assets Option-pricing model provides valuation formulas

Page 4: Discussion of Structural GARCH: The Volatility-Leverage Connection by Rob Engle and Emil Siriwardane © 2013 by Andrew W. Lo All Rights Reserved Andrew

MFM

11 October 2013 © 2013 by Andrew W. Lo All Rights Reserved

Slide 4

The Basic Framework

Specific case of geometric Brownian motion for At

Page 5: Discussion of Structural GARCH: The Volatility-Leverage Connection by Rob Engle and Emil Siriwardane © 2013 by Andrew W. Lo All Rights Reserved Andrew

MFM

11 October 2013 © 2013 by Andrew W. Lo All Rights Reserved

Slide 5

The Basic Framework

Itô’s formula yields the exact dynamics of Et

l = LM(At/X,1,s,r,t) is the option elasticity or “gearing”

Page 6: Discussion of Structural GARCH: The Volatility-Leverage Connection by Rob Engle and Emil Siriwardane © 2013 by Andrew W. Lo All Rights Reserved Andrew

MFM

11 October 2013 © 2013 by Andrew W. Lo All Rights Reserved

Slide 6

The Basic Framework

At

Call Option Elasticity

Page 7: Discussion of Structural GARCH: The Volatility-Leverage Connection by Rob Engle and Emil Siriwardane © 2013 by Andrew W. Lo All Rights Reserved Andrew

MFM

11 October 2013 © 2013 by Andrew W. Lo All Rights Reserved

Slide 7

The Basic Framework Now assume a more general asset-price process

Page 8: Discussion of Structural GARCH: The Volatility-Leverage Connection by Rob Engle and Emil Siriwardane © 2013 by Andrew W. Lo All Rights Reserved Andrew

MFMStructural Interpretation From a formal perspective, not a fully “structural”

specification– e.g., suppose asset prices followed a CEV process

© 2013 by Andrew W. Lo All Rights Reserved

11 October 2013 Slide 8

Page 9: Discussion of Structural GARCH: The Volatility-Leverage Connection by Rob Engle and Emil Siriwardane © 2013 by Andrew W. Lo All Rights Reserved Andrew

MFMStructural Interpretation The benefit of BSM is specificity, not flexibility Consistency of BSM functions with GARCH? If flexibility is the goal, then:

1. Use implied volatilities, e.g., VIX2. Use nonparametric option-pricing model (Ait-Sahalia and

Lo, 1998) to estimate SPD from options, which yields LM3. Use M&M II and multiple factors

– Estimate GARCH models with D/E, CDS, etc.

© 2013 by Andrew W. Lo All Rights Reserved

11 October 2013 Slide 9

Page 10: Discussion of Structural GARCH: The Volatility-Leverage Connection by Rob Engle and Emil Siriwardane © 2013 by Andrew W. Lo All Rights Reserved Andrew

MFMStructural Interpretation Complex capital structure makes this more complex

– Coupon bonds are compound options (Geske, 1977) – Bond indenture provisions (Black and Cox, 1976)– Particularly problematic for financial firms

Potential issue with option-pricing approach– Pricing model hinges on dynamic completeness, i.e.,

dynamic replication of option payoff via trading strategy– Market for corporate assets are relatively illiquid– Delta-hedging strategy may be very expensive, i.e., option-

pricing formula may be a poor approximation (important for systemic risk measurement)

© 2013 by Andrew W. Lo All Rights Reserved

11 October 2013 Slide 10

Page 11: Discussion of Structural GARCH: The Volatility-Leverage Connection by Rob Engle and Emil Siriwardane © 2013 by Andrew W. Lo All Rights Reserved Andrew

MFMLeverage Effect

Black (1972), Christie (1982), Duffie (1995)

Hasanhodzic and Lo (2013):

January 2, 1973 to December 31, 2010 (241 firms)

© 2013 by Andrew W. Lo All Rights Reserved

11 October 2013 Slide 11

Page 12: Discussion of Structural GARCH: The Volatility-Leverage Connection by Rob Engle and Emil Siriwardane © 2013 by Andrew W. Lo All Rights Reserved Andrew

MFMLeverage Effect

© 2013 by Andrew W. Lo All Rights Reserved

11 October 2013 Slide 12

But leverage effect is the same for all-equity-financed companies!

Page 13: Discussion of Structural GARCH: The Volatility-Leverage Connection by Rob Engle and Emil Siriwardane © 2013 by Andrew W. Lo All Rights Reserved Andrew

MFMSystemic Risk Measurement

During periods of financial distress, BSM option-pricing model for firm’s equity may be inadequate

Complex capital structure is particularly relevant , e.g., AIG’s credit support agreements

A structural alternative is Merton’s jump-diffusion model:

– For lognormal Z, LM can be derived in closed-form; compare and contrast to the pure diffusion case

A reduced-form alternative is regime-switching

© 2013 by Andrew W. Lo All Rights Reserved

11 October 2013 Slide 13

Page 14: Discussion of Structural GARCH: The Volatility-Leverage Connection by Rob Engle and Emil Siriwardane © 2013 by Andrew W. Lo All Rights Reserved Andrew

MFMSystemic Risk Measurement

Another measure of systemic risk might be the option’s gamma:

© 2013 by Andrew W. Lo All Rights Reserved

11 October 2013 Slide 14

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