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....

Forecasting stock market returns is one of the most effective tools for risk management and portfolio diversification. There are several forecasting techniques in the literature for obtaining accurate forecasts for investment decision making. Numerous empirical studies have employed such methods...

Investors utility has been mathematically modeled at 1738 by Daniel Bernoulli as an attempt to capture investors preferences to lottery outcomes. Ever since the analysis of decision making under uncertainty has again become a major focus of interest. Kahneman and Tversky in 1979 suggested a more...

We examine the F score in global emerging markets and show there is a meaningful premium attached to high F score stocks which is unrelated to the size, value and momentum premiums. It is larger for high value stocks, moderately higher for high momentum stocks and unrelated to stock size. This...

The importance of being able to identify changepoints in financial time series has been stressed by many authors, both for econometric forecasting and for enhancing the performance of trading strategies. Strategies which work well in one type of context may lose money under different...

Black-Litterman model provides a reasonable platform to portfolio optimization and asset allocation by presenting an equilibrium state of the markets and only deviating from that equilibrium state with forward-looking strategic views. Index of Economic Freedom (IEF) can be used as a handy tool...

We present a rational learner agent, which considers the information coming from a behavioral counterpart during the allocation process. The learner agent adopts a herding behaviour by conditioning her choice on the selection of the portfolio's constituents. The considered framework has...

The attention of investors (IA) has been at the centre of much debate and research in the last decades. We test the forecasting ability of the Google Search Volume Index (SVI), as proxy of and demand for information, in the context of M&As. We employ the Cox Proportional Hazard model to model...

This paper proposes a novel approach to the combination of conditional covariance matrix forecasts based on the use of the Generalized Method of Moments (GMM). It is shown how the procedure can be generalized to deal with large dimensional systems by means of a two-step strategy. The finite...

Under the Basel II Accord, banks and other Authorized Deposit-taking Institutions (ADIs) have to communicate their daily risk estimates to the monetary authorities at the beginning of the trading day, using a variety of Value-at-Risk (VaR) models to measure risk. Sometimes the risk estimates...