Rumors can be classified into two types, according to whether they can credibly predict impending events or not. The analysis of takeover rumors of publicly traded US companies from 1990 to 2008 shows that these two types of rumors can be statistically distinguished by returns of rumored...

We study the consequences of firm-specific stock price crashes (SPCs) by examining whether, and if so, how SPCs affect market information efficiency. This contrasts with prior research that focuses on firm-specific causes or determinants of SPCs. The tension underlying our research question...

The stock market is a complex system, somewhere between the domains of order and randomness. Ordered systems are simple and predictable, and random systems are inherently unpredictable. Simple theories do not adequately describe security pricing, nor is pricing random. Rather, the market is...

The information content of stock prices is analysed without imposing strong restrictions on traders' preferences and the distribution of dividends. Noise in the information contained in equilibrium prices arises from endogenous asset supply, which offsets price movements due to informed trading....

Relying on the Stambaugh, Yu, and Yuan (2015) mispricing score and on 45 countries between 1994 and 2013, I document economically meaningful and statistically significant cross-sectional stock return predictability around the globe. In contrast to the widely held belief, mispricing associated...

These are the presentation slides for the paper "Innovative Efficiency and Stock Returns". The abstract of the paper is the following: We find that innovative efficiency (IE), patents or citations scaled by research and development expenditures, is a strong positive predictor of future returns...

This paper uses accounting-based reverse engineering of market expectations to identify potentially mispriced stocks. Building upon the “errors-in-expectations” hypothesis, we develop a theoretically funded yet practical tool for stock screening in this paper. We use the Ohlson (1995) model...

The old and simple investment strategy “Sell in May and Go Away” (also referred to as the “Halloween effect”) enjoys an unbroken popularity. Recent studies suggest that the Halloween effect even strengthened rather than weakened since its first publication by Bouman and Jacobsen (2002)....

High Frequency Trading (HFT) is a form of algorithmic trading where firms use high-speed market data and analytics to look for short-term supply and demand trading opportunities that often are the product of predictable behavioral or mechanical characteristics of financial markets. Often called...

Investors' expectations on firms' cash flow growth can be biased (e.g. Bordalo et al. (2019)), yet we know little about how these biases and their asset pricing implications vary with forecast horizons. In this paper, I show that extreme expectations at all horizons beyond the current period...