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Do Information Cascades Arise Easier under Time Pressure? Experimantal Approach.
Cingl, Lubomír ; Bauer, Michal (advisor) ; Pertold, Filip (referee)
Information cascades as a form of rational herding help to explain real-life phenomena such as fads, fashion, creation of 'bubbles' in financial markets or conformity in general. In this paper I attempt to model propensity to herd and infer its relationship to time-pressure by conducting a laboratory experiment. I let subjects perform a simple cognitive task under different treatment conditions and levels of time pressure with the possibility to herd. The order of decision-making is endogenous and the task is not probabilistic. Rather, I impose uncertainty of private signal by different levels of time pressure. This is expected to make participants prone to imitate the behavior of others. Apart from that I examine the effect of reputation (also called endorsement effect) as an addition to the public pool of information, which is expected to increase the probability to herd. The main findings are that propensity to herd was not significantly influenced by different levels of time pressure. Information cascades arose, but never in a perfect form. Personality traits measured by the Big Five protocol contribute considerably to the explanation of the model, but their relationship is not straightforward. Heart-rate increased during performance of a task, but was not correlated to subjectively stated...
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Herd behavior of investors in the stock market: An analysis of cross-country effects in the CEE
Lerche, Vojtěch ; Kukačka, Jiří (advisor) ; Vácha, Lukáš (referee)
The thesis examines herding behavior of investors towards the market average in 10 CEE stock markets during the period 2000-2018. Least squares and quantile regression methods provide evidence of herding inside the majority of the countries. During the global financial crisis and the Eurozone crisis, the herding mentality was more intense only in Slovenia and Croatia. The thesis finds mixed results in asymmetric herding during days of positive and negative market returns. The main finding, and a contribution to the literature, is that the domestic cross-sectional dispersion of returns in the CEE is affected by the dispersion of returns of the foreign stock markets in the USA, the UK, and Germany. In addition, empirical results suggest that extreme market conditions in the U.K. market have an impact on the formation of herding forces within the CEE stock markets. Short-run arbitrageurs can benefit from collective decisions of investors that in turn drive stock prices away from their fair value, but the presence of herding undermines benefits of portfolio diversification. In the long-run, the contagious international effects may result in a severe instability of the whole region and in market inefficiency.
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Does the probability to herd decrease when decisions are of higher importance? Experimental Approach
Kočová, Alžběta ; Cingl, Lubomír (advisor) ; Maršál, Aleš (referee)
In this thesis I study the effect of decision importance on propensity to engage in herding behaviour and what is bounded rational, optimal, utility maximizing strategy for agents. In the beginning, prior literature on herding behaviour and decision importance is reviewed. The only research connecting these two issues was done in psychology. Therefore a comparison and critique of psychological research versus experimental economics is provided in the methodological part. The main part of this thesis is designing an experiment aimed at differentiation of the propensity to engage in herding behaviour with respect to the importance of the decisions being made. People decide in a cascade among two option according to signals obtained. Eight different treatments are run, each with different size of monetary reward as a motivation. Everyone gets two signals, one private and one public. In situations when these signals are contradictory and of the same informativeness, decisions are measured and compared among treatments. Main hypothesis is that people are less likely to be influenced by other people's decisions as the task importance rises. Also data analysis is outlined. JEL Classification C92 Keywords Herding behaviour, informational cascades, importance, experimental economics Author's e-mail...
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Behavioural Breaks in the Heterogeneous Agent Model
Kukačka, Jiří ; Baruník, Jozef (advisor) ; Víšek, Jan Ámos (referee)
This thesis merges the fields of Heterogeneous Agent Models (HAMs) and Be- havioural Finance in order to bridge the main deficiencies of both approaches and to examine whether they can complement one another. Our approach suggests an alternative tool for examining HAM price dynamics and brings an original way of dealing with problematic empirical validation. First, we present the original model and discuss various extensions and attempts at empirical estimation. Next, we develop a unique benchmark dataset, covering five par- ticularly turbulent U.S. stock market periods, and reveal an interesting pattern in this data. The main body applies a numerical analysis of the HAM extended with the selected Behavioural Finance findings: herding, overconfidence, and market sentiment. Using Wolfram Mathematica we perform Monte Carlo simu- lations of a developed algorithm. We show that the selected findings can be well modelled via the HAM and that they extend the original HAM considera- bly. Various HAM modifications lead to significantly different results and HAM is also able to partially replicate price behaviour during turbulent stock market periods. Bibliographic Record Kukačka, J. (2012): Behavioural Breaks in the Heterogeneous Agent Model. Rigorous thesis, Charles University in Prague, Faculty of Social...
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Do Information Cascades Arise Easier under Time Pressure? Experimantal Approach.
Cingl, Lubomír ; Bauer, Michal (advisor) ; Pertold, Filip (referee)
Information cascades as a form of rational herding help to explain real-life phenomena such as fads, fashion, creation of 'bubbles' in financial markets or conformity in general. In this paper I attempt to model propensity to herd and infer its relationship to time-pressure by conducting a laboratory experiment. I let subjects perform a simple cognitive task under different treatment conditions and levels of time pressure with the possibility to herd. The order of decision-making is endogenous and the task is not probabilistic. Rather, I impose uncertainty of private signal by different levels of time pressure. This is expected to make participants prone to imitate the behavior of others. Apart from that I examine the effect of reputation (also called endorsement effect) as an addition to the public pool of information, which is expected to increase the probability to herd. The main findings are that propensity to herd was not significantly influenced by different levels of time pressure. Information cascades arose, but never in a perfect form. Personality traits measured by the Big Five protocol contribute considerably to the explanation of the model, but their relationship is not straightforward. Heart-rate increased during performance of a task, but was not correlated to subjectively stated...
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Behavioural Breaks in the Heterogeneous Agent Model
Kukačka, Jiří ; Baruník, Jozef (advisor) ; Víšek, Jan Ámos (referee)
This thesis merges the fields of Heterogeneous Agent Models (HAMs) and Be- havioural Finance in order to bridge the main deficiencies of both approaches and to examine whether they can complement one another. Our approach suggests an alternative tool for examining HAM price dynamics and brings an original way of dealing with problematic empirical validation. First, we present the original model and discuss various extensions and attempts at empirical estimation. Next, we develop a unique benchmark dataset, covering five par- ticularly turbulent U.S. stock market periods, and reveal an interesting pattern in this data. The main body applies a numerical analysis of the HAM extended with the selected Behavioural Finance findings: herding, overconfidence, and market sentiment. Using Wolfram Mathematica we perform Monte Carlo sim- ulations of a developed algorithm. We show that the selected findings can be well modelled via the HAM and that they extend the original HAM consider- ably. Various HAM modifications lead to significantly different results and HAM is also able to partially replicate price behaviour during turbulent stock market periods. Bibliographic Record Kukačka, J. (2011): Behavioural Breaks in the Heterogeneous Agent Model. Master thesis, Charles University in Prague, Faculty of Social Sciences,...
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