scispace - formally typeset
Journal ArticleDOI

International Transmission of Stock Market Movements

Cheol S. Eun, +1 more
- 01 Jun 1989 - 
- Vol. 24, Iss: 2, pp 241-256
Reads0
Chats0
TLDR
In this article, the authors investigated the international transmission mechanism of stock market movements by estimating a nine-market vector autoregression (VAR) system and found that a substantial amount of multi-lateral interaction is detected among national stock markets.
Abstract
This paper investigates the international transmission mechanism of stock market movements by estimating a nine-market vector autoregression (VAR) system. Using simulated responses of the estimated VAR system, we (i) locate all the main channels of interactions among national stock markets, and (ii) trace out the dynamic responses of one market to innovations in another. Generally speaking, a substantial amount of multi-lateral interaction is detected among national stock markets. Innovations in the U.S. are rapidly transmitted to other markets in a clearly recognizable fashion, whereas no single foreign market can significantly explain the U.S. market movements. Also, the dynamic response pattern is found to be generally consistent with the notion of informationally efficient international stock markets.

read more

Citations
More filters
Posted Content

Correlations in Price Changes and Volatility Across International Stock Markets

TL;DR: In this paper, the short run interdependence of prices and price volatility across three major international stock markets is studied using the autoregressive conditionally heteroskedastic (ARCH) family of statistical models.
Journal ArticleDOI

Correlations in Price Changes and Volatility across International Stock Markets

TL;DR: In this paper, the short run interdependence of prices and price volatility across three major international stock markets is studied using the autoregressive conditionally heteroskedastic (ARCH) family of statistical models.
Journal ArticleDOI

Common stochastic trends in international stock markets

TL;DR: In this paper, the authors present evidence concerning the number of common stochastic trends in the equity markets of the U.S., Japan, England, Germany, and Canada.
Journal ArticleDOI

Do Bulls and Bears Move Across Borders? International Transmission of Stock Returns and Volatility

TL;DR: This paper investigated empirically how returns and volatilities of stock indices are correlated between the Tokyo and New York markets using intradaily data that define daytime and overnight returns for both markets, and found that Tokyo (New York) daytime returns are correlated with New York (Tokyo) overnight returns.
ReportDOI

A new approach to measuring financial contagion

TL;DR: In this article, a multinomial logistic regression model is proposed to evaluate contagion in financial markets, which captures the coincidence of extreme return shocks across countries within a region and across regions.
References
More filters
Journal ArticleDOI

Investigating Causal Relations by Econometric Models and Cross-Spectral Methods

TL;DR: In this article, the cross spectrum between two variables can be decomposed into two parts, each relating to a single causal arm of a feedback situation, and measures of causal lag and causal strength can then be constructed.
Journal ArticleDOI

Macroeconomics and reality

Christopher A. Sims
- 01 Jan 1980 - 
TL;DR: In this article, the authors argue that the style in which their builders construct claims for a connection between these models and reality is inappropriate, to the point at which claims for identification in these models cannot be taken seriously.

Internationally Diversified Portfolios: Welfare Gains and Capital Flows

TL;DR: In this paper, the authors show that the international diversification of portfolios is the source of an entirely new kind of world welfare gains from international economic relations, different from both the traditional "gains from trade" and increased productivity flowing from the migration of the factors of production.
Journal ArticleDOI

Vector Autoregressions and Reality

TL;DR: In this paper, the statistical significance of variance decomposition and impulse response function for unrestricted vector autoregressions is examined and two methods of computing such confidence intervals are developed: first, using a normal approximation; second, using bootstrapped resampling.
Related Papers (5)