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An Autoregressive Heteroskedastic in the Mean (ARCH‐M) Analysis of International Stock Market Indexes

Dimitrios Tsoukalas (School of Management, Purdue University Calumet, Hammond, USA)

Managerial Finance

ISSN: 0307-4358

Article publication date: 1 December 2000

458

Abstract

This study examines predicability and volatility in three major stock markets, (the US, UK, and Japan) using the Vector Autoregressive Approach and the Multivariate Autoregressive Conditional Heteroskedastic‐in‐mean (ARCH‐M) approach. We find that in the three markets: a) stock returns are predictable, and b) there is persistence in the variance of stock returns, and c) predictability and persistence are attributed to common sources of information.

Keywords

Citation

Tsoukalas, D. (2000), "An Autoregressive Heteroskedastic in the Mean (ARCH‐M) Analysis of International Stock Market Indexes", Managerial Finance, Vol. 26 No. 12, pp. 46-56. https://doi.org/10.1108/03074350010767043

Publisher

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MCB UP Ltd

Copyright © 2000, MCB UP Limited

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