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Asymptotically optimal smoothing with ARCH models

Article Abstract:

Nelson (1992) and Nelson and Foster (1994) had demonstrated that a misspecified ARCH model consistently derives the unobserved volatility process through information from the lagged residuals. The efficient derivation of a volatility process through information from lagged and led residuals is demonstrated. The optimal filtering results of Nelson and Foster and Nelson are expanded to filtering error with a random initial condition and to smoothing.

Author: Nelson, Daniel B.
Publisher: Blackwell Publishers Ltd.
Publication Name: Econometrica
Subject: Mathematics
ISSN: 0012-9682
Year: 1996
Analysis, Nonlinear functional analysis, Smoothing (Statistics)

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Idiosyncratic volatility, stock market volatility and expected stock returns

Article Abstract:

The value-weighted idiosyncratic stock volatility and aggregate stock market volatility jointly exhibit strong predictive power for excess stock market returns. The stock market risk-return relation is found to be positive as stipulated by the capital asset pricing model however idiosyncratic volatility is negatively related to future stock market returns.

Author: Guo, Hui, Savickas, Robert
Publisher: American Statistical Association
Publication Name: Journal of Business & Economic Statistics
Subject: Mathematics
ISSN: 0735-0015
Year: 2006
Investment analysis, Securities analysis, Stock markets, Stock market

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Multivariate stochastic volatility via Wishart processes

Article Abstract:

A multivariate stochastic volatility framework for modeling financial data is presented, in which time-varying covariance matrices are driven by Wishart processes.

Author: Philipov, Alexander, Glickman, Mark E.
Publisher: American Statistical Association
Publication Name: Journal of Business & Economic Statistics
Subject: Mathematics
ISSN: 0735-0015
Year: 2006
United Kingdom, Models, Financial analysis

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Subjects list: Usage, Stochastic analysis
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