Agent-based computational models represent a big challenge in many disciplines. A vital approach receiving much interest is agent-based models, which gives a new area providing some ways to tackle some of the restrictions of the analytical models in finance. The aim of our research is to contribute to the behavioral finance and agent-based artificial markets by studying their market-wise implic...

Partly motivated by a deeper understanding of the role human greed has played in the current financial crisis, this paper quantifies the notion of greed, and explores its connection with leverage and potential losses, in the context of a continuoustime behavioral portfolio choice model under (cumulative) prospect theory. We We are grateful for comments from seminar and conference participants a...

We develop a methodology to extract a quantitative model for behavioral effects in markets from empirical data. A set of 24 asset market experiments are utilized to derive an equation of price and its dependence on momentum, fundamental value, excess bid level and liquidity considerations. A difference equation is derived from a statistical analysis of the data. The methods are quite general an...

Both Behavioral Finance and market practitioners view confidence as one of the most important psychological variables influencing investor behavior. In the Behavioral Finance literature, confidence is associated with biased decisions and overreaction: investor confidence leads them to give too much importance to some ideas and to refuse to seriously take new facts into account until the grounds...

The theory of rational efficient markets dominated financial economics three decades ago. In recent years, however, psychology-inspired behavioral finance has overshadowed it. Both critics and proponents of the use of psychology in economics and finance base their positions on the premise that psychology primarily deals with human fallibility, systematic mistakes and biased judgment (Kahneman, ...

T he battle between proponents of the Efficient Markets Hypothesis and champions of be-havioral finance has never been more pitched, and little consensus exists as to which side is winning or the implications for investment management and consulting. In this article, I review the case for and against the Efficient Markets Hypothesis and describe a new framework—the Adaptive Markets Hypothesis—i...

We estimate abnormal returns on stocks following profit warnings. Our data set is statements described by CNN as profit warnings. We find negative abnormal returns of approximately 5% in the six months following the warning. Over the period six to eighteen months after the warning we find positive abnormal returns of 18%. After eighteen months there is no evidence of significant abnormal return...

This study was proposed to and analyze behavioral financial technologies for the development of MSMEs in culinary field city Semarang. There has been a lot research related fintech (fintech) or topics issues, but not much found on fintech, especially MSME business development. The sample is 125 data collected through questionnaires then analyzed using smartpls. that satisfaction, owner characte...

We consider two-stage “shortlisting procedures” in which the menu of alternatives is first pruned by some process or criterion and then a binary relation is maximized. Given a particular first-stage process, our main result supplies a necessary and sufficient condition for choice data to be consistent with a procedure in the designated class. This result applies to any class of procedures with ...