Asymmetry and Spillover Effects in the North American Equity Markets
AbstractIn this paper we examine the issue of asymmetry in the return and volatility spillover effects from the US equity market into the Canadian and Mexican equity markets. We model the conditional volatility of the returns in each of the three markets using the asymmetric power model of Ding, Granger and Engle (1993). The empirical findings indicate that the US market has a significant impact on the returns in the Canadian and Mexican markets. However, the findings for Canada vary considerably from those for Mexico. In particular, the empirical results indicate that volatility spillover effects, but not return spillover effects, exhibit an asymmetric behavior, with negative shocks from the US equity market impacting on the conditional volatility of the Canadian and Mexican equity markets more deeply than positive shocks. Moreover, while the impact of positive shocks from the US equity market is not much different between the two markets, this is not the case with negative shocks, which affect the volatility of the Mexican market more intensely than the volatility of the Canadian market. --
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Bibliographic InfoArticle provided by Kiel Institute for the World Economy in its journal Economics: The Open-Access, Open-Assessment E-Journal.
Volume (Year): 1 (2007)
Issue (Month): 12 ()
APARCH; Asymmetric Spillovers; North American Stock Markets;
Other versions of this item:
- Canarella, Giorgio & Sapra, Sunil K. & Pollard, Stephen K., 2007. "Asymmetry and Spillover Effects in the North American Equity Markets," Economics Discussion Papers 2007-35, Kiel Institute for the World Economy.
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- F31 - International Economics - - International Finance - - - Foreign Exchange
- G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
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