Building Risk-Neutral Densities (RND) from options data can provide market-implied expectations about the future behavior of a financial variable. And market expectations on financial variables may influence macroeconomic policy decisions. It can be useful also for corporate and financial...

To improve short-horizon exchange rate forecasts, we employ foreign exchange market risk factors as fundamentals, and Bayesian treed Gaussian process (BTGP) models to handle non-linear, time-varying relationships between these fundamentals and exchange rates. Forecasts from the BTGP model...

In a no-arbitrage framework, any variable that affects the pricing of the domestic yield curve has the potential to predict foreign exchange risk premiums. The most widely used interest rate predictor is the difference in short rates across countries, known as carry, but the short rate is only...

The popular scholarly exercise of evaluating exchange rate forecasting models relative to a random walk was stimulated by the well-cited Meese and Rogoff (1983) paper. Practitioners who construct quantitative models for trading exchange rates approach forecasting from a different perspective....

We take a novel approach to short-horizon exchange rate forecasting by using priced, predictable, and traded foreign exchange market factors as fundamentals. Conditional linear and Bayesian treed Gaussian process (BTGP) models with perfect foresight of these carry and dollar factors...

This paper provides an empirical investigation of the time-series predictive ability of foreign exchange risk measures on the return to the carry trade, a popular investment strategy that borrows in low-interest currencies and lends in high-interest currencies. Using quantile regressions, we...

The study examined high volatile assets, specifically the currency exchange rate of the open financial market. Takes into consideration the five most traded paired currencies of the global financial market. And observed, generally, the data set of the unit currency exchange rate exhibit...

This paper investigates the relationship between exchange rates and stock markets for 4 East-European countries, using a sample of 3,500 daily returns during the period 2000-2014. The research method used is Bayesian VAR for the solution of degrees of freedom specific to the VAR technique and...

In order to provide reliable Value-at-Risk (VaR) and Expected Shortfall (ES) forecasts, this paper attempts to investigate whether an inter-day or an intra-day model provides accurate predictions. We investigate the performance of inter-day and intra-day volatility models by estimating the...

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...