Decision making can be a complex process requiring the integration of several attributes of choice options. Understanding the neural processes underlying (uncertain) investment decisions is an important topic in neuroeconomics. We analyzed functional magnetic resonance imaging (fMRI) data from...

The paper investigates risk attitudes among different types of individuals. We use several di erent measures of risk attitudes, including questions on choices between uncertain income streams suggested by Barsky et al. (1997) and a number of ad hoc measures. As in Barsky et al. (1997) and...

Decision making can be a complex process requiring the integration of several attributes of choice options. Understanding the neural processes underlying (uncertain) investment decisions is an important topic in neuro-economics. We analyzed functional magnetic resonance imaging (fMRI) data from...

The experimental approach is applied to explore the value of unidentified historical information in stock-return prediction. Return sequences were randomly drawn cross section and time from historical S&P500 data. Subjects were requested to predict returns or select stocks from 12 preceding...

We examine how the presentation of investment results affects risk taking using an experiment in which participants view results either asset by asset or aggregated into a portfolio result. Our experiment examines the investment choices of a nationwide sample of 249 participants in a simulation...

Experiments are an underused method in finance and have natural advantages for behavioral finance. Experiments can provide a useful means to circumvent several common econometric issues such as omitted variables, unobserved variables, and self-selection. Experiments can extend the theoretical...

This note presents the Blender, a concept that was developed at Unigestion by the Quantitative Research Hedge Fund Team. In the context of portfolio optimization we propose Blended portfolios as an alternative to efficient portfolios.Albeit Blended portfolios are sub-optimal in the mean-variance...