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We discover a new currency strategy with highly desirable return and diversification properties, which uses the predictive capability of currency volatility risk premia for currency returns. The volatility risk premium -- the difference between expected realized volatility and model-free implied...
Persistent link: https://www.econbiz.de/10013035847
This Paper proposes a vector equilibrium correction model of stock returns that exploits the information in the futures market, while allowing for both regime-switching behaviour and international spillovers across stock market indices. Using data for three major stock market indices since 1989,...
Persistent link: https://www.econbiz.de/10005114365
We investigate the predictive information content in foreign exchange volatility risk premia for exchange rate returns. The volatility risk premium is the difference between realized volatility and a model-free measure of expected volatility that is derived from currency options, and reflects...
Persistent link: https://www.econbiz.de/10011084715
Using data for the trades of 19 central banks intervening in currency markets, we show that stabilization policies by individual central banks lead to "systematic intervention" patterns. This systematic intervention is driven by and impacts on the same factors that drive currency excess returns:...
Persistent link: https://www.econbiz.de/10012900050
We study the properties of foreign exchange risk premiums that can explain the forward bias puzzle, defined as the tendency of high-interest rate currencies to appreciate rather than depreciate. These risk premiums arise endogenously from the no-arbitrage condition relating the term structure of...
Persistent link: https://www.econbiz.de/10013009171
We study a large currency cross section using recently developed asset pricing methods. First, we show that the implied pricing kernel includes three latent factors: a strong U.S. `Dollar' level factor, and two weak, high Sharpe ratio `Carry' and `Momentum' slope factors. The evidence for an...
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