Estimating time-varying conditional correlations between stock and foreign exchange markets


TAŞTAN H.

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, cilt.360, ss.445-458, 2006 (SCI İndekslerine Giren Dergi) identifier identifier

  • Cilt numarası: 360 Konu: 2
  • Basım Tarihi: 2006
  • Doi Numarası: 10.1016/j.physa.2005.06.062
  • Dergi Adı: PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
  • Sayfa Sayıları: ss.445-458

Özet

This study explores the dynamic interaction between stock market returns and changes in nominal exchange rates. Many financial variables are known to exhibit fat tails and autoregressive variance structure. It is well-known that unconditional covariance and correlation coefficients also vary significantly over time and multivariate generalized autoregressive model (MGARCH) is able to capture the time-varying variance-covariance matrix for stock market returns and changes in exchange rates. The model is applied to daily Euro-Dollar exchange rates and two stock market indexes from the US economy: Dow-Jones Industrial Average Index and S&P500 Index. The news impact surfaces are also drawn based on the model estimates to see the effects of idiosyncratic shocks in respective markets. (c) 2005 Elsevier B.V. All rights reserved.