The use of fundamentalist traders in the stock market models is problematic since fundamental values in the real world are unknown. Yet, in the literature to date, fundamentalists are often required to replicate key stylized facts. The authors present an agent-based model of the stock market in...

Recent research has acknowledged the crucial role of financial intermediaries' balance sheet variables – namely, wealth and leverage – in the dynamics of asset prices. In this paper we use a prototypical “small-type” artificial financial market model with heterogeneous interacting...

We study individual coherent preferences underlying asset prices and propose a set of explicit models for nonlinear V-shaped price pressure utility in a new framework. Coherent preferences are consistent interactive choices between momentum trading and reversal trading in stock market where...

We propose a novel measure of risk perceptions: the price of volatile stocks (PVSt), defined as the book-to-market ratio of low-volatility stocks minus the book-to-market ratio of high-volatility stocks. PVSt is high when perceived risk directly measured from surveys and option prices is low....

The initial purpose of the study is to search whether the market exhibits herd behavior or not by examining the crypto asset market in the context of behavioral finance. And the second purpose of the study is to measure whether the financial information stimulates the herd behavior or not....

The study shows critical roles of firm-specific information on herd behavior, which is underexplored in prior literature, albeit an increasing impact of firm-specific information on asset pricing. The main finding demonstrates that three of four selected measures of firm-specific information...

We develop a general framework for measuring biases in expectation formation. The method is based on the insight that biases can be inferred from the response of forecast errors to past news. Empirically, biases are measured by flexibly estimating the impulse response function of forecast...

We provide new empirical evidence on the implications of public information arrival for investors' beliefs, using a daily measure of dispersion (uncertainty) of beliefs about firm underlying return distribution. Consistent with convergence in beliefs (less disagreement), the arrival of public...

Post-earnings-announcement drift (PEAD) is one of the most solidly documented asset pricing anomalies. We use the controlled conditions of an experimental lab to investigate whether earnings autocorrelation is the driving cause of this anomaly. We observe PEAD in settings with uncorrelated and...