We establish the out-of-sample predictability of monthly exchange rate changes via machine learning techniques based on 70 predictors capturing country characteristics, global variables, and their interactions. To guard against overfitting, we use the elastic net to estimate a high-dimensional...

This study has 4 contributions to the literature. First, the authors analyze the risk characteristics for 11 Relative Value hedge fund strategies. Second, the authors introduce 3 families of behavioral factors, the D family, the L family, and the R family. In contrast to previous hedge fund...

The portfolio of the average investor contains important information for strategic asset allocation purposes. This portfolio shows the relative value of all assets according to the market crowd, which one could interpret as a benchmark or the optimal portfolio for the average investor. We...

Investing in financial securities inevitably involves risks on the one hand and opportunities on the other hand. This thesis bundles four different studies on risks and/or opportunities in financial markets. In one study, we examine the cross-sectional explanatory power of different...

We find that global time series carry strategies (across bonds, commodities, currencies, equities and metals) can be explained by a set of lagged macroeconomic variables. The payoffs to carry strategies disappear once futures returns are adjusted for their predictability based on these...

I theoretically and empirically investigate how institutional investors with different holding horizons make investment decisions. Long-term and short-term institutions have persistent differences in their portfolio tilt with short-term institutions more willing to invest in low-return stocks....

This paper proposes a dynamic information diffusion model that explains the lead-lag reaction of stock prices resulting from the interaction of price trends and implied price risk (IPR). Consistent with our model's predictions, we construct a zero investment underreaction portfolio (overreaction...

The present study investigates the integration of environmental, social, and gover-nance (ESG) scores constructed from company misconduct and incident data intothe systematic investment process for equities. These ESG scores are used to set upvarious ESG investment strategies: From best-in-class...

Purpose - This research explores the spillovers and portfolio implications for green bonds and environmental, social and governance (ESG) assets in the context of the rapidly expanding trend in green finance investments and the need for a green recovery in the post-COVID-19 era....

This paper investigates the effect of financial education on foreign portfolio investment. We show that higher investor financial education fosters international diversification, and that its role is particularly pronounced where information problems and monitoring costs are likely to be more...