This paper examines return predictability when the investor is uncertain about the right state variables. A novel feature of the model averaging approach used in this paper is to account for finite-sample bias of the coefficients in the predictive regressions. Drawing on an extensive...

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 attempts to find an aggregate leading indicator to predict the spreads observed for high-yield (HY) bond indices. Using a vector error correction (VEC) specification for quarterly data, we establish a long-term equilibrium relationship between the HY market spreads and its...

This paper presents forecasts of currency in circulation prepared for liquidity management at the Central Bank of Nigeria. Forecasts were produced using ARIMA, ARIMA with structural variables, VAR and VEC models. The performance of the forecasts was then evaluated under a rolling forecast...

This paper provides global evidence supporting the hypothesis that expected return models are enhanced by the inclusion of variables that describe the evolution of book-to-market-changes in book value, changes in price, and net share issues. This conclusion is supported using data representing...

Researchers and practitioners employ a variety of time-series processes to forecast betas, using either short-memory models or implicitly imposing infinite memory. We find that both approaches are inadequate: beta factors show consistent long-memory properties. For the vast majority of stocks,...

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...

Using a large sample of business groups from more than one hundred countries around the world, we show that group information matters for parent and subsidiary default prediction. Group firms may support each other when in financial distress. Potential group support represents an off-balance...