Stocks with high idiosyncratic volatility perform poorly relative to low idiosyncratic volatility stocks. We offer a novel explanation of this anomaly based on real options, which is consistent with earlier findings on idiosyncratic volatility (the positive contemporaneous relation between...

We study the portfolio problem of maximizing the outperformance probability over a random benchmark through dynamic trading with a fixed initial capital. Under a general incomplete market framework, this stochastic control problem can be formulated as a composite pure hypothesis testing problem....

Analysing 5 exchange traded funds (ETFs) and 26 index certificates, this is a comprehensive intraday study combining the perspective of information dissemination and pricing quality. We focus on the Volkswagen extreme event day on 28 October 2008, where a breakdown of the futures-cash arbitrage...

This paper proposes a theoretical analysis on the impacts of using a suboptimal information set on the three main components used in asset pricing, namely the risk physical and neutral measures and the relative pricing kernel.The analysis is carried out by means of a portfolio optimization...

We perform an asset market experiment in order to investigate whether overconfidence induces trading. We investigate three manifestations of overconfidence: calibration-based overconfidence, the better-than-average effect and illusion of control. Novelly, the measure employed for...

The dynamics between coexisting experts and non-experts has important implications for online market and platform design. We study their relationship in the context of crowdfunding. While crowdfunding originated as a non-expert market, experts have become active participants. We investigate the...

Faster trading improves liquidity in periodic call auction markets, in contrast to continuous-timemarkets. We build a model where high-frequency traders (HFTs) engage in duels to trade onstale quotes. More frequent periodic auctions increase the likelihood that a single HFT arrives inany given...

We design an experiment to study the implications of information networks for the incentive to acquire costly information, market liquidity, investors' earnings and asset price characteristics in a financial market. Social communication crowds out information production as a result of agent's...

We investigate whether providers of news analytics affect the stock market. We exploit a unique identification strategy based on revisions between different product releases of a major provider of news analytics. We document a causal effect of news analytics on the market, irrespective of the...

On financial markets, information is a highly demanded resource and processing it to (potentially) generate excess returns drives the activities of many market participants. Not surprisingly, this high relevance of information in markets culminates in a high research interest focusing on how...