Many models of investor behavior predict that investors prefer assets that they believe to have positively skewed return distributions. We provide a direct test of this prediction in a representative sample of the Dutch population. Using individual-level data on return expectations for a broad...

Traders in global markets operate at different local times-of-day. Suboptimal times-of-day may produce sleepiness due to daily variations in sleep/wake patterns and possibly also increased accumulation of hours awake. Global asset markets imply significantly increased heterogeneity in circadian...

Asset market bubbles and crashes are a major source of economic instability and inefficiency. Sometimes ascribed to animal spirits or irrational exuberance, their source remains imperfectly understood. Experimental methods can isolate systematic deviations from an asset's fundamental value in a...

This paper is concerned with empirical and theoretical basis of the Efficient Market Hypothesis (EMH). The paper begins with an overview of the statistical properties of asset returns at different frequencies (daily, weekly and monthly), and considers the evidence on return predictability, risk...

The stock market influences some of the most fundamental economic decisions of investors, such as consumption, saving, and labor supply, through the financial wealth channel. This paper provides evidence that daily fluctuations in the stock market have important - and hitherto neglected -...

Trusting behavior has been shown to affect households' portfolio choice between risky and risk-free financial assets. We extend the analysis of the effect of trust on portfolio choice to include the dominant component of households' portfolios, real estate. In a simple model, we show how the...

We explore the relationship between household finances and personality traits from an empirical perspective. Specifically, using individual level data drawn from the British Household Panel Survey, we analyse the influence of personality traits on financial decision-making at the individual...

A common approach to dealing with missing data is to estimate the model on the common subset of data, by necessity throwing away potentially useful data. We derive a new probit type estimator for models with missing covariate data where the dependent variable is binary. For the benchmark case of...