Conditional Heteroskedasticity in Asset Returns: A New Approach
Условная гетероскедастичность доходностей активов: новый подход
1991-03-01
SCID: 54.1/jgdspz98
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CRSP Value-Weighted Market Indexcorrelation between returns and volatility innovationsexponential ARCHparameter inequality constraintspersistence of volatility shocks
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Abstract (AI)
This paper introduces an ARCH model (exponential ARCH) that (1) allows correlation between returns and volatility innovations (an important feature of stock market volatility changes), (2) eliminates the need for inequality constraints on parameters, and (3) allows for a straightforward interpretation of the "persistence" of shocks to volatility. In the above respects, it is an improvement over the widely-used GARCH model. The model is applied to study volatility changes and the risk premium on the CRSP Value-Weighted Market Index from 1962 to 1987. Copyright 1991 by The Econometric Society.
Key Findings
1
Applies the model to analyze volatility changes and the risk premium for the CRSP Value-Weighted Market Index from 1962 to 1987.
2
Claims improvement over the widely-used GARCH model with respect to the three features above.
3
Model removes the need for inequality constraints on parameters present in conventional GARCH specifications.
4
Proposes an exponential ARCH model that allows correlation between returns and volatility innovations.
5
Provides a straightforward interpretation of the persistence of shocks to volatility.
Research Object
Conditional heteroskedasticity (exponential ARCH) model applied to asset returns, specifically the CRSP Value-Weighted Market Index returns (1962–1987)
Research Subject
Modeling and interpretation of volatility dynamics including correlation between returns and volatility innovations, parameter constraints removal, and persistence of volatility shocks; application to volatility changes and the risk premium on the CRSP Value-Weighted Market Index
Publication Details
Publication Date
1991-03-01
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