Die Berücksichtigung der zukünftigen Entwicklung des Wechselkurses ist sowohl für internationale Unternehmen als auch für international tätige Investoren unabdingbar. Allerdings ist die Erstellung von Wechsel- kursprognosen schwierig, da bis zum heutigen Zeitpunkt kein allgemein anerkanntes...

Die Berücksichtigung der zukünftigen Entwicklung des Wechselkurses ist sowohl für internationale Unternehmen als auch für international tätige Investoren unabdingbar. Allerdings ist die Erstellung von Wechsel- kursprognosen schwierig, da bis zum heutigen Zeitpunkt kein allgemein anerkanntes...

This paper proposes a novel asymptotic least-squares estimator of multi-country Gaussian dynamic term structure models that is easy to compute and asymptotically efficient, even when the number of countries is relatively large - a situation in which other recently proposed approaches lose their...

Based on the theory of static replication of variance swaps we assess the sign and magnitude of variance risk premiums in foreign exchange markets. We find significantly negative risk premiums when realized variance is computed from intraday data with low frequency. As a likely consequence of...

In this paper, we re-assess the role of risk premiums in FX survey forecasts. Given that market makers in foreign exchange are both price setters and contributors to surveys such as Consensus Forecasts or FX4Casts we may expect risk premiums of FX liquidity provision to emerge in forecast data...

We construct mean-variance optimized currency portfolios and analyze the time- series variation of the conditional Sharpe ratio. Returns, volatility and skewness are predictable. Market timing – i.e., trading more (less) aggressively when the conditional risk-return trade-off is more (less)...

We establish the out-of-sample predictability of monthly exchange rate changes via machine learning techniques based on 70 predictors capturing country characteristics, global variables, and their interactions. To guard against overfitting, we use the elastic net to estimate a high-dimensional...

This paper considers how an investor in the foreign exchange market can exploit predictive information by means of flexible Bayesian inference. Using a variety of different vector autoregressive models, the investor is able, each period, to revise past predictive mistakes and learn about...

We investigate whether unemployment fluctuations generate predictability in the cross-section of currency excess returns. We find that currencies with lower growth in the unemployment rate appreciate while currencies with higher growth in the unemployment rate depreciate. As a result, an...

We provide new empirical evidence that world currency and U.S. stock variance risk premiums have nonredundant and significant predictive power for the appreciation rates of twenty-two currencies with respect to the U.S. dollar, especially at the four-month and one-month horizons, respectively....