Concepedia

Concept

multivariate stochastic volatility

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3.2K

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287.4K

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4.4K

Authors

1.7K

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About

Multivariate stochastic volatility is an academic concept and a class of econometric models used to characterize and forecast the dynamic evolution of the conditional covariance matrix for a vector of time series variables. It posits that the volatilities of individual series and their cross-covariances are not constant but follow unobserved, time-varying (stochastic) processes, thereby capturing the complex joint dynamics and dependencies among variable volatilities. This framework addresses the inherent challenges of high dimensionality in multivariate volatility modeling and is fundamental for understanding risk, asset pricing, and forecasting co-movements in diverse applications.

Top Authors

Rankings shown are based on concept H-Index.

TG

Northwestern University

NS

University of Oxford

TB

Duke University

JF

University of California, Santa Barbara

OE

Top Institutions

Rankings shown are based on concept H-Index.

Aarhus University

Aarhus, Denmark

Duke University

Durham, United States

Princeton University

Princeton, United States

Columbia University

New York, United States

University of Chicago

Chicago, United States