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We propose a new predictor - the innovation in the daily return minimum in the U.S. stock market () - for predicting international stock market returns. Using monthly data for a wide range of 17 MSCI international stock markets during the period spanning over half a century from January 1972 to...
Persistent link: https://www.econbiz.de/10015361591
Diversification of financial securities is considered a substantial element of portfolio risk. In this context, the construction of an optimal portfolio is an ongoing concern for portfolio managers. This study measures the risk-reward tradeoffs linked to the stock indexes of Germany, Spain,...
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Using a novel three-phase model based upon a conditional autoregressive Wishart (CAW) framework for the realized (co)variances of the Dow Jones and the German stock index DAX, we analyze intra-daily volatility spillovers between the US and German stock markets. The proposed model explicitly...
Persistent link: https://www.econbiz.de/10013106045
Since portfolio management relies on the association of portfolio diversification, analyzing the spillover between the United States (US) and Asian-Pacific financial markets has become more critical. If Asian stock markets have low or negative correlations with each other and/or the US market,...
Persistent link: https://www.econbiz.de/10014500629
Using a novel three-phase model based upon a conditional autoregressive Wishart (CAW) framework for the realized (co)variances of the US Dow Jones and the German stock index DAX, we analyze intra-daily volatility spillovers between the US and German stock markets. The proposed model explicitly...
Persistent link: https://www.econbiz.de/10009539877
Persistent link: https://www.econbiz.de/10009532235
This paper applies the Bates (RFS, 2006) methodology to the problem of estimating and filtering time- changed Lévy processes, using daily data on U.S. stock market excess returns over 1926-2006. In contrast to density-based filtration approaches, the methodology recursively updates the...
Persistent link: https://www.econbiz.de/10012463735