We assess the performances of alternative procedures for forecasting the daily volatility of the euro's bilateral exchange rates using 15 min data. We use realized volatility and traditional time series volatility models. Our results indicate that using high-frequency data and considering their...

We use Generalized Andrews-Ploberger (GAP) tests to examine the random-walk behavior of 17 OECD countries' euro exchange rates at daily frequencies. The GAP tests reject the hypothesis of random-walk behavior less often than do traditional tests. Moreover, the random-walk hypothesis cannot be...

The uniqueness of the online shopping environment and the rapid growth of the online retail sales make it important to understand how consumers search for information in an online setting. This dissertation takes both the adaptive decision making approach and the cost-benefit approach to examine...

We compare volatility forecasts using daily data and intraday data at different frequencies from the Chinese commodity futures market. Focusing on aluminium, copper and fuel oil futures contracts with 3 months to maturity, our empirical results suggest that in the out-of-sample forecasting...

Using the most comprehensive weekly dataset of ‘A’ shares listed on the Chinese stock market, this paper examines short-term contrarian strategies under different market states from 1995--2010. We find statistically significant profits from contrarian strategies, especially during the period...

In this paper, we propose a method for finding policy function improvements for a single agent in high-dimensional Markov dynamic optimization problems, focusing in particular on dynamic games. Our approach combines ideas from literatures in Machine Learning and the econometric analysis of games...