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Canadian and U.S. financial markets: testing the international integration hypothesis under time-varying conditional volatility

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  • Michel Normandin

Abstract

This paper evaluates the international integration hypothesis, that is, that risk-adjusted anticipated returns are identical, even when financial instruments are traded in different countries. Under time-varying conditional volatility, this hypothesis is tested by verifying the equality between domestic and foreign risk prices associated with a multi-factor analytic specification. The maximum-likelihood and Kalman-filter estimates are used to assess the national risk prices and interpret the factors. Empirically, the integration of Canadian and U.S. financial markets depends on the risk prices of two factors, which are related to certain non-monetary events and to the conduct of monetary policies.

Suggested Citation

  • Michel Normandin, 2004. "Canadian and U.S. financial markets: testing the international integration hypothesis under time-varying conditional volatility," Canadian Journal of Economics, Canadian Economics Association, vol. 37(4), pages 1021-1041, November.
  • Handle: RePEc:cje:issued:v:37:y:2004:i:4:p:1021-1041
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    Cited by:

    1. Normandin, Michel & Phaneuf, Louis, 2004. "Monetary policy shocks:: Testing identification conditions under time-varying conditional volatility," Journal of Monetary Economics, Elsevier, vol. 51(6), pages 1217-1243, September.
    2. Bouakez, Hafedh & Normandin, Michel, 2010. "Fluctuations in the foreign exchange market: How important are monetary policy shocks?," Journal of International Economics, Elsevier, vol. 81(1), pages 139-153, May.
    3. Chrétien, Stéphane & Coggins, Frank, 2009. "Election outcomes and financial market returns in Canada," The North American Journal of Economics and Finance, Elsevier, vol. 20(1), pages 1-23, March.

    More about this item

    JEL classification:

    • 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; State Space Models

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