Stock prices following earnings announcements have become more efficient. Prices on announcement dates incorporate more quickly earnings surprises, leading to the disappearance of post-announcement price drifts. Evidence suggests that trading frictions commonly associated with market...

We provide evidence on market structure and the cost of raising capital by examining market structure changes in US equity markets. Only the Nasdaq's Order Handling Rules (OHR), the one reform that reduced institutional trading costs, lowered the cost of raising capital. Using a...

This paper is built around a simple premise that is based on the theoretical models of Harris and Raviv (1993) and Kandel and Pearson (1995). Complex statements are more difficult to interpret and may be construed in different ways by different agents. This creates heterogeneity of beliefs among...

Asset price bubbles have fascinated economists for decades. In consequence, the literature on bubbles and their detection is abundant, with many researchers taking very opposite positions on the topic, however. This survey gives a structured overview of the two branches of research that have...

I examine how financial markets interact with news about the COVID-19 pandemic. A twelve topic model optimizes the trade-off between number of topics and topic coherence. Using this model, I show that before mid-March 2020 markets react more to the same quantum of news when volatility is higher...

We investigate the possibility of completing financial markets in a model with no exogenous probability measure and market imperfections. A necessary and sufficient condition is obtained for such an extension to be possible

I mathematically derive, economically motivate and empirically confirm a new anomaly in credit markets based on the premise that excessive fear of default leads to an undervaluation and overvaluation of credit and duration risk, respectively. To quantify this anomaly, I introduce a new value...

Dynamics of credit markets impact almost all participants in financial markets. Yet, despite rapidly growing international credit markets, we know little about the dynamics of global credit markets, as most studies focus on the US. Here, I propose a new distance-to-default model, empirically...

The Chinese capital market, despite its relative short history in its modern form, has experienced a tremendous growth and is now the second largest in the world. Due to China's tight capital controls, the development of its capital market has mostly been isolated from and hence not been well...

Classical quantitative finance models such as the Geometric Brownian Motion or its later extensions such as local or stochastic volatility models do not make sense when seen from a physics-based perspective, as they are all equivalent to a negative mass oscillator with a noise. This paper...