This paper examines time-series predictability of bilateral exchange rates from linear factor models that utilize unconditional and conditional expectations of three currency-based risk factors. Exploiting a comprehensive set of statistical criteria, we find that all versions of the linear factor models largely fail to outperform the benchmark of random walk with drift model in the out-of-sample forecasting of monthly exchange rate returns. This holds true for individual currencies and currency portfolios formed on forward discounts. We also show that the information embedded in the currency-based risk factors does not generate systematic economic value to investors
Thesis (Ph.D.)--University of Washington, 2019Chapter 1 proposes using foreign exchange rate currenc...
Thesis (Ph.D.)--University of Washington, 2019Chapter 1 proposes using foreign exchange rate currenc...
In this paper, we study the exchange rate predictability across a range of investment horizons by pr...
This paper examines time-series predictability of bilateral exchange rates from linear factor models...
This paper examines the time series predictability of bilateral exchange rates from linear factor mo...
This paper examines time-series predictability of bilateral exchange rates from linear factor models...
This paper examines time-series predictability of bilateral exchange rates from linear factor models...
A large literature in exchange rate economics has investigated the forecasting performance of empiri...
We examine the potential gains of using exchange rate forecast models and forecast combination metho...
In this paper, we study predictability of exchange rates and explore determinants of its dynamics ov...
Market-based forecasting of exchange rates is flawed because it is based on two hypotheses that are ...
My thesis examines return predictability in government bond markets and currency markets. In Chapter...
Using survey expectations data and Markov-switching models, this paper evaluates the characteristics...
Exchange rate forecasting has become an arena for many researchers the last decades while predictabi...
We compute a variance decomposition for the log exchange rate based on a present-value relation. At ...
Thesis (Ph.D.)--University of Washington, 2019Chapter 1 proposes using foreign exchange rate currenc...
Thesis (Ph.D.)--University of Washington, 2019Chapter 1 proposes using foreign exchange rate currenc...
In this paper, we study the exchange rate predictability across a range of investment horizons by pr...
This paper examines time-series predictability of bilateral exchange rates from linear factor models...
This paper examines the time series predictability of bilateral exchange rates from linear factor mo...
This paper examines time-series predictability of bilateral exchange rates from linear factor models...
This paper examines time-series predictability of bilateral exchange rates from linear factor models...
A large literature in exchange rate economics has investigated the forecasting performance of empiri...
We examine the potential gains of using exchange rate forecast models and forecast combination metho...
In this paper, we study predictability of exchange rates and explore determinants of its dynamics ov...
Market-based forecasting of exchange rates is flawed because it is based on two hypotheses that are ...
My thesis examines return predictability in government bond markets and currency markets. In Chapter...
Using survey expectations data and Markov-switching models, this paper evaluates the characteristics...
Exchange rate forecasting has become an arena for many researchers the last decades while predictabi...
We compute a variance decomposition for the log exchange rate based on a present-value relation. At ...
Thesis (Ph.D.)--University of Washington, 2019Chapter 1 proposes using foreign exchange rate currenc...
Thesis (Ph.D.)--University of Washington, 2019Chapter 1 proposes using foreign exchange rate currenc...
In this paper, we study the exchange rate predictability across a range of investment horizons by pr...