Is more information better? The effect of traders' irrational behavior on an artificial stock market

نویسندگان

  • Wei T. Yue
  • Alok R. Chaturvedi
  • Shailendra Raj Mehta
چکیده

This paper presents a computer simulated artificial stock market to examine market rationality issues. We construct economic agents with different degrees of irrationality to participate in the stock market. The agents replicate the irrational behaviors described in the psychology and finance literatures and determine the outcome of the market. The main focus of this study is to examine the two contradicting (efficient market versus noise trading) finance hypotheses in the presence of rational and irrational traders.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Arrival Dynamics of Informed and Uninformed Traders into Tehran Stock Exchange

Objective: The aim of this study is to model arrival process of informed and uninformed traders into Tehran Stock Exchange (TSE) as well as to assess the interaction between two types of traders which is an important yet neglected topic. Methods: In this study, a sequential trade model was estimated based on trading data of 33 stocks belonging to 11 industries of TSE during the period from 201...

متن کامل

The effect of bio rhythmic states of traders on their perceptual decisions in Tehran Stock Exchange

The aim of this study is to find the effect of trader’s biorhythmic cycles on their perceptual decisions in Tehran Stock Exchange. According to author’s point of view, decision making is one of the major factors of management skills, and in some cases, it is equivalent of management (Simon’s point of view). Also considering this fact that the knowledge of psychological factors and it’s effects ...

متن کامل

Does Disclosure Lead to Lower Informed Trading and Symmetric Order-follow Shocks in the Tehran Stock Exchange?

In financial markets, the symmetry of information and the homogeneous interpretation of information among traders is one of the main conditions for market efficiency, but these conditions are in fact violated. In this paper first; we accurately estimated the dynamic measures of trades stemming from information asymmetry and diverse opinions among investors indices by a hidden Markov model. Ther...

متن کامل

Multi-agent-based Modeling of Artificial Stock Markets by Using the Co-evolutionary Gp Approach

This paper deals with multi-agent based modeling of artificial stock market by using the coevolutionary Genetic Programming (GP) by considering social learning. Cognitive behaviors of agents are modeled by using the GP to introduce social learning as well as individual learning. Assuming five types of agents, in which rational agents prefer forecast models (equations) or production rules to sup...

متن کامل

Forecasting Stock Market Using Wavelet Transforms and Neural Networks: An integrated system based on Fuzzy Genetic algorithm (Case study of price index of Tehran Stock Exchange)

The jamor purpose of the present research is to predict the total stock market index of Tehran Stock Exchange, using a combined method of Wavelet transforms, Fuzzy genetics, and neural network in order to predict the active participations of finance market as well as macro decision makers.To do so, first the prediction was made by neural network, then a series of price index was decomposed by w...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2000