Overconfidence and trading volume

Theoretical models predict that overconfident investors will trade more than rational investors. We directly test this hypothesis by correlating individual overconfidence scores with several measures of trading volume of individual investors. Approximately 3,000 online broker investors were asked to answer an internet questionnaire which was designed to measure various facets of overconfidence (miscalibration, volatility estimates, better than average effect). The measures of trading volume were calculated by the trades of 215 individual investors who answered the questionnaire. We find that investors who think that they are above average in terms of investment skills or past performance (but who did not have above average performance in the past) trade more. Measures of miscalibration are, contrary to theory, unrelated to measures of trading volume. This result is striking as theoretical models that incorporate overconfident investors mainly motivate this assumption by the calibration literature and model overconfidence as underestimation of the variance of signals. In connection with other recent findings, we conclude that the usual way of motivating and modeling overconfidence which is mainly based on the calibration literature has to be treated with caution. Moreover, our way of empirically evaluating behavioral finance models—the correlation of economic and psychological variables and the combination of psychometric measures of judgment biases (such as overconfidence scores) and field data—seems to be a promising way to better understand which psychological phenomena actually drive economic behavior.

Decision making and planning under low levels of predictability: Enhancing the scenario method

In this paper we review and analyse scenario planning as an aid to anticipation of the future under conditions of low predictability. We examine how successful the method is in mitigating issues to do with inappropriate framing, cognitive and motivational bias, and inappropriate attributions of causality. Although we demonstrate that the scenario method contains weaknesses, we identify a potential for improvement. Four general principles that should help to enhance the role of scenario planning when predictability is low are discussed: (i) challenging mental frames, (ii) understanding human motivations, (iii) augmenting scenario planning through adopting the approach of crisis management, and (iv) assessing the flexibility, diversity, and insurability of strategic options in a structured option-against-scenario evaluation.     

The Impact of Firing Costs on Turnover and Unemployment: Evidence from the Colombian Labour Market Reform

Reductions in firing costs are often advocated as a way of increasing the dynamism of labour markets in both developed and less developed countries. Evidence from Europe and the U.S. on the impact of firing costs has, however, been mixed. Moreover, legislative changes both in Europe and the U.S. have been limited. This paper, instead, examines the impact of the Colombian Labour Market Reform of 1990, which substantially reduced dismissal costs. I estimate the incidence of a reduction in firing costs on worker turnover by exploiting the temporal change in the Colombian labour legislation as well as the variability in coverage between formal and informal sector workers. Using a grouping estimator to control for common aggregate shocks and selection, I find that the exit hazard rates into and out of unemployment increased after the reform by over 1\% for formal workers (covered by the legislation) relative to informal workers (uncovered). The increase of the hazards implies a net decrease in unemployment of a third of a percentage point, which accounts for about one quarter of the fall in unemployment during the period of study.     

中国股价操纵的理论模型

本文基于行为金融学框架,在Allen和Gale、Chunsheng Zhou 和 Jianping Mei的研究基础上,以中国的股价操纵事件为研究对象,建立适合中国股市的股价操纵理论模型.研究发现操纵者利用一般投资者的代表性偏差和处置效应等行为偏差,能够完成操纵过程获取操纵利润,并且能够利用一般投资者的代表性偏差而将部分操纵成本转嫁给一般投资者.     

Firm optimism and pessimism

This paper explores the question of whether firms have systematic expectation biases. Using microdata from the West German manufacturing subset of the IFO Business Climate Survey, we infer quarterly production growth rates at the firm level. We then combine this information with production growth expectations over a quarterly horizon to construct quantitative firm-specific expectation errors. Our findings show that at most one-third of our firms systematically over- or underpredict their production growth one-quarter ahead. Our findings further show that larger and exporting firms tend to have more realistic expectations, while firms with higher leverage are more prone to expectations that are biased towards optimism.     

Do Animals Use Heuristics?

Much research has demonstrated ways that humans use heuristics when solving complex problems. Similar claims have occasionally been made for non-human subjects, although the topic remains largely undeveloped. This paper explores ways that non-human subjects might use simple rules to solve complex ecological problems. It is suggested that a focus on the use of heuristics in non-human subjects can enrich choice models in behavioral ecology, while at the same time informing existing models in psychology and economics more generally.     

Harmful events and misconducts in financial organizations: Human biases and root causes

We conduct a large scope field investigation of 19 major incidents in 19 large European insurance and banking institutions, based on 116 post-event interviews with managers and top executives over a two-year period. We demonstrate the power of the Root Cause Analysis (RCA) method for detecting human biases documented by the behavioral finance, the organizational behavior and occupational psychology literatures. These biases constitute key operational risk factors these organizations. We find that organizational biases (such as a breach of psychological contract) take center stage as root causes of incidents in these organizations. We also find that banks are more exposed to emotional biases (fear and greed) and insurance companies more subjected to cognitive conservatism as root cause biases. This research has direct implications regarding how banks and insurance companies may cope with regulations that put a greater emphasis on measuring and controlling operational risk and specifically misconduct risk.     

Election frequency,choice fatigue,and voter turnout

Influential scholars have argued that frequent elections lead to voter fatigue and can therefore be directly responsible for low turnout in countries characterized by frequent contests. However, other theories predict that frequent elections can even increase turnout. The existing empirical evidence is problematic as it simply correlates election frequency with turnout. By contrast, I exploit a natural experiment in the German state of Hesse, where voters from different municipalities faced the same electoral contest but experienced different election frequency, due to the staggered timing of some local elections. I find that when two elections are scheduled within a relatively short period of time, voter turnout at the later election is significantly reduced. This effect is stronger when the election is deemed less important in the eyes of the voters. Election frequency thus might also partly explain the wide turnout gap between first- and second-order elections, as suggested by Lijphart (1997).     

What factors affect behavioral biases? Evidence from Turkish individual stock investors

This paper investigates behavioral biases among Turkish individual stock investors during 2011. Using transaction data, we analyze how common disposition effect, familiarity bias, representativeness heuristic, and status quo bias are, what factors affect these biases and how these biases relate to each other including overconfidence and return performance. We find that biases are common among investors. Male, younger investors, investors with lower portfolio value, and investors in low income, low education regions exhibit more familiarity bias. Female, older investors and investors with high portfolio values are more subject to disposition effect and representativeness heuristic. Individuals in the opposite edge of overconfidence are subject to status quo bias. Overconfidence is positively correlated with familiarity bias. Representativeness heuristic deteriorates wealth while status quo bias results in higher trade performance. Familiarity bias has a nonmonotonic effect on return; lower (higher) levels of familiarity bias have a negative (positive) effect on return. To the best of our knowledge, this is one of the few studies that focus on nationwide data and analyze the biases simultaneously. Using a unique dataset, we extend the findings of the behavioral finance literature to emerging markets. Besides, analysis of multiple biases helps us better understand the relationship among biases.