List of Articles Noise Trading

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  1 - E-Garch and Modeling of Market Volatility Based on Noise Trading
  Abdolmajid Abdolbaghi Siavash Sbour Maryam Bagheri Rafi
  The presence of noise traders with fanatical attitude in financial markets is considered as a reason for the divergence of price and risk from predicted levels, but on the other hand the absence of noise traders might cause dwindling of market volatility. Generally, tho More

  The presence of noise traders with fanatical attitude in financial markets is considered as a reason for the divergence of price and risk from predicted levels, but on the other hand the absence of noise traders might cause dwindling of market volatility. Generally, those who execute their trades based on market noise have poor understanding of the validity of receiving information, nevertheless a major part of traders falls into this category. The following study evaluated fluctuation of noise trading, using EGARCH (exponential general autoregressive conditional heteroscedastic) model for the price index of the Tehran stock exchange market from 2012 to 2016. There was a meaningful relation between the noise and market return, so that an increase in noise trading resulted in market return growth and a decline in noise trading altered fluctuation to a smoother trend. Furthermore, the growth of trade value, turnover and number of trades was related to the rise in noise trading. Manuscript profile
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  2 - The Mechanism of Volatility Spillover and Noise Trading Among Financial Markets and The Oil Market: Evidence from Iran
  Sharareh Taheri Abdolmajid Abdolbaghi Ataabadi Mohammad Hossein Arman Majid Vaziri Sarashk
  10.30495/jsm.2022.1960629.1656
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  3 - واژه‌های کلیدی: سرریز تلاطم ، معاملات اختلال زا ، بازارهای مالی ، مدل آرچ ، مدل گارچ . طبقه بندی JEL : C22.C32.G11,G4
  Sharara Taheri Abdul Majid Abdul Baqi Attaabadi majid vaziri sarashk Mohammad Hossein Arman
  10.30495/fed.2023.702186
  Abstract Financial markets are currently experiencing sharp volatility. The turbulent environment of financial markets, the close relationship in these markets and the significant impact it has on the country's economy, as well as the urgent need to predict future fina More

  Abstract Financial markets are currently experiencing sharp volatility. The turbulent environment of financial markets, the close relationship in these markets and the significant impact it has on the country's economy, as well as the urgent need to predict future financial and economic scenarios, have led researchers to explore and analyze these inter-market relationships. Studying how the returns and volatility in one market affect other markets has always been one issue that helps investors and policymakers to make optimal decisions. Given the importance of volatility spillovers in the Iranian financial market, this study aimed to investigate the effect of the volatility in the foreign exchange, gold markets to the capital market in Iran. In this regard, in this study, the effect of volatility spillover and noise trading of gold and foreign exchange markets on volatility in capital market returns has been investigated. This descriptive study was conducted using the daily and monthly data from the foreign exchange, gold, and capital markets from 2010 to 2019 and to analyze the data, ARCH and GARCH models have been used. The results of this study showed that the abnormal volatility of the capital market in the previous day positively affects the abnormal volatility of the capital market today, indicating that if money flows in the capital market, which indicates the flow of money in the capital market from yesterday, increasing the transfer of emotions to the current capital market. In addition, the abnormal volatility in the of gold and foreign exchange markets in the previous today has a positive effect on the abnormal volatility in the capital market today. The positive effect of this effect indicates the flow of money in the foreign exchange and gold markets and its volatility spillover into the capital market. Overall, the findings of this study confirmed the positive impact of the foreign exchange and gold markets on the abnormal volatility in the capital market in the short term (daily) and long term (monthly). Manuscript profile
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  4 - Modeling of Noise Trading Effect on Extreme Return Based on Quantile Regression Approach
  SOOLMAZ SALAMI Abdolmajid Abdolbaghi Ataabadi rohollah farhadi
  Noise traders have an undeniable role in determining market volatility, returns and stock price movements. Therefore, In this paper, the effect of noise traders on the stock returns of companies with the aim of presenting an appropriate picture of how they are affected More

  Noise traders have an undeniable role in determining market volatility, returns and stock price movements. Therefore, In this paper, the effect of noise traders on the stock returns of companies with the aim of presenting an appropriate picture of how they are affected in extreme situations.The statistical population of this study includes all companies listed in Tehran Stock Exchange during the period of 2009-2017. The sample of 13717 data from 150 companies listed on the stock exchange monthly. The main hypothesis of this study is to evaluate the Extreme Effects of noise trading on stock returns by quantile regression was used to analyze the data. The findings of the research show that the level of noise activity increases with the level of efficiency Moreover,the positive effect of the noise trading index on returns with a coefficient of 0.0001.Under extreme returns, this effect is greater than the intermediate values and reflects the intensification of noise trading activity in periods of decline and market growth. Manuscript profile
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  5 - Anatomical Analysis of Noise Transactions and Pricing Error
  Marziye Abdolbaghi Ataabadi Abdolmajid Abdolbaghi Ataabadi
  10.30495/jdaa.2023.702086
  AbstractBehavioral finance is one of the main factors of market defects, which focuses on the systematic occurrence of decision-making errors by investors and managers, and studies how investors and managers make systematic and mental errors in their judgments, and expr More

  AbstractBehavioral finance is one of the main factors of market defects, which focuses on the systematic occurrence of decision-making errors by investors and managers, and studies how investors and managers make systematic and mental errors in their judgments, and expresses the lack of rational behavior of investors in the capital market, which leads to The creation of stock price differences is due to its intrinsic value. The purpose of the current research is to analyze the anatomy of noisy transactions and pricing errors caused by the entry of uninformed traders. The statistical population of this research is the companies accepted in the Tehran Stock Exchange and its statistical sample includes the data of 113 companies. The sampling method was systematic elimination. The method used to estimate the model is the multivariate regression method using the combined data method. The research results show that noise trading has a positive and significant effect on the level of stock pricing error. Also, the pricing error is different at different levels of noise trading; That is, the more the noise, the more the pricing error. This is despite the fact that in addition to the fluctuations of noise transactions, the B/M ratio also affects it. In other words, the pricing error is different at different levels of B/M ratio. As a result, according to the results of the research, the entry of uninformed traders in the stock market creates noise and causes the deviation of the stock price. Manuscript profile