Asymmetric and Crash Effects in Stock Volatility for the S&P 100 Index and its Constituents

Posted: 11 Sep 2001

See all articles by Ser-Huang Poon

Ser-Huang Poon

Alliance Manchester Business School, University of Manchester; Alan Turing Institute

Stephen J. Taylor

Lancaster University - Department of Accounting and Finance

Bevan Blair

Ingenious

Multiple version iconThere are 2 versions of this paper

Abstract

The volatility process of the S&P 100 index and all its constituent stocks are compared after estimating ARCH models from ten years of daily returns, from 1983 to 1992. The leverage effect of Black (1976) is estimated from an extension of the asymmetric volatility model of Glosten et al (1993) that isolates the effects of the crash in October 1987. The index and the majority of stocks have a greater volatility response to negative returns than to positive returns and the asymmetry is higher for the index than for most stocks. Conclusions about volatility asymmetry and persistence change when the crash is considered to be an extraordinary event.

JEL Classification: C12, C22, G10

Suggested Citation

Poon, Ser-Huang and Taylor, Stephen J. and Blair, Bevan, Asymmetric and Crash Effects in Stock Volatility for the S&P 100 Index and its Constituents. Available at SSRN: https://ssrn.com/abstract=282455

Ser-Huang Poon

Alliance Manchester Business School, University of Manchester ( email )

Alliance Manchester Business School
Booth Street West
Manchester, Manchester M15 6PB
United Kingdom
+44 161 275 4031 (Phone)
+44 161 275 4023 (Fax)

HOME PAGE: http://www.manchester.ac.uk/research/Ser-huang.poon/

Alan Turing Institute ( email )

British Library, 96 Euston Road
96 Euston Road
London, NW12DB
United Kingdom

Stephen J. Taylor (Contact Author)

Lancaster University - Department of Accounting and Finance ( email )

The Management School
Lancaster LA1 4YX
United Kingdom
+ 44 15 24 59 36 24 (Phone)
+ 44 15 24 84 73 21 (Fax)

HOME PAGE: http://www.lancs.ac.uk/staff/afasjt

Bevan Blair

Ingenious ( email )

London, W1F 9JG
United Kingdom

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