Cognitive-judgmental biases identification in decision making relating Tehran stock market investors

2015 ◽  
Vol 5 (2) ◽  
pp. 27
Author(s):  
Sara Abrisham
Keyword(s):  
Decision Making ◽  
Stock Market ◽  
Judgmental Biases ◽  
Stock Market Investors

scholarly journals Formulation of a Prediction Index with the Help of WEKA Tool for Guiding the Stock Market Investors

2016 ◽  
Vol 9 (3) ◽  
pp. 212-225 ◽  
Author(s):  
Aseema Kulkarni ◽  
Ajit More
Keyword(s):  
Decision Making ◽  
Stock Market ◽  
Stock Prices ◽  
Machine Learning Techniques ◽  
Algorithmic Trading ◽  
Stock Market Forecasting ◽  
Learning Techniques ◽  
Stock Market Investors ◽  
Automated Decision Making ◽  
Radical Transformation

Prediction of stock prices using various computer programs is on rise. Popularly known in the field of finance as algorithmic trading, a radical transformation has taken place in the field of stock markets for decision making through automated decision making agents. Machine learning techniques can be applied for predicting stock prices. This paper attempts to study the various stock market forecasting processes available in the forecasting plugin of the WEKA tool. Twenty experiments have been conducted on twenty different stocks to analyse the prediction capacity of the tool.

scholarly journals INVESTOR EXPERTISE AND THE RATIONALITY OF DECISION MAKING

2015 ◽  
Vol 1 (310) ◽  
Author(s):  
Marcin Rzeszutek ◽  
Monika Czerwonka ◽  
Magdalena Walczak
Keyword(s):  
Decision Making ◽  
Stock Market ◽  
Behavioral Finance ◽  
Point Of View ◽  
Decision Making Process ◽  
Exploratory Research ◽  
Behavioral Biases ◽  
Stock Market Investors

The aim of the paper is to is to explore the determinants of the rationality in decision making among polish stock market investors with different level of expertise with investing. Rationality in decision making was defined from the behavioral finance point of view and was operationalized as the frequency of some behavioral biases (see: the certainty effect) within decision making process. In particular, this study aims to investigate the degree of susceptibility the certainty effect among people of various levels of expertise with investing. As  there is still a lack of data studies in behavioral finance literature investigating the issues mentioned in this article (or existing results are ambiguous) we treated our study as an exploratory research.

Investor sentiment antecedents

2019 ◽  
Vol 11 (1) ◽  
pp. 36-54 ◽  
Author(s):  
Ranjan Dasgupta ◽  
Rashmi Singh
Keyword(s):  
Decision Making ◽  
Stock Market ◽  
Emerging Market ◽  
Investment Decision ◽  
Investor Sentiment ◽  
Equation Modeling ◽  
Content Type ◽  
Investment Decision Making ◽  
Retail Investors ◽  
Specific Factors

PurposeThe determinants of investor sentiment based on stock market proxies are found in numbers in empirical studies. However, investor sentiment antecedents developed from primary survey measures by constructing an investor sentiment index (ISI) are not done till date. The purpose of this paper is to fill this research gap by first developing an ISI for the Indian retail investors and then examining the investor-specific, stock market-specific, macroeconomic and policy-specific factors’ individual impact on the investor sentiment.Design/methodology/approachFirst, the authors develop the ISI by using the mean scores of six statements as formulated based on popular direct investor sentiment surveys undertaken throughout the world. Then, the authors employ the structural equation modeling approach on the responses of 576 respondents on 40 statements (representing the index and four study hypotheses) collected in 2016 across the country.FindingsThe results show that investor- and stock market-specific factors are the major antecedents of investor sentiment for these investors. However, interestingly macroeconomic fundamentals and policy-specific factors have no role to play in driving their sentiment to invest in the stock market.Practical implicationsThe major implication of the results is that the Indian retail investors are showing a mixed approach of Bayesian and behavioral finance decision making. So, these implications can guide the investment consultants, regulators, other stakeholders in markets and overwhelmingly the retail investors to introspect their investment decision making across time horizons.Originality/valueThe formulation of ISI in an emerging market context and thereafter examining possible antecedents to influence retail investors in their investment decision making are not done till date. So, the study is unique in its research issue and findings and will have significant implication for the retail investors at least in emerging market contexts.

scholarly journals STOCK MARKET INVESTORS MECHANICS AND THEIR BLUNDERS

2016 ◽  
Vol 4 (2) ◽  
pp. 243-249
Author(s):  
Ravi Kumar ◽  
Rohini Sajjan
Keyword(s):  
Stock Market ◽  
Basic Principles ◽  
The Common ◽  
Stock Market Investors

Investment mistakes happen for a multitude of reasons, including the fact that decisions made under conditions of uncertainty that are irresponsibly downplayed by market gurus and institutional spokespersons.  Losing money on an investment may not be the result of a mistake, and not all mistakes result in monetary losses. But errors occur when judgment is unduly influenced by emotions, when the basic principles of investing are misunderstood, and when misconceptions exist about how securities react to varying economic, political, and hysterical circumstances. Proper planning and using of techniques, strategies can come as rescue to the investor and help in reaping profits and avoiding the blunders that are commonly observed. The paper investigates the basis for investment patter by the investor, their techniques and strategies adopted and guidelines to be followed to avoid the common blunders made by them leading to fewer losses they would face otherwise.

scholarly journals Qualitative Analysis on Investment Decisions of Nepalese Stock Market Investors

2021 ◽  
Vol 2 (5) ◽  
pp. 349-365
Author(s):  
Rashesh Vaidya
Keyword(s):  
Stock Market ◽  
Insider Trading ◽  
Investment Decision ◽  
Investment Decisions ◽  
Listed Companies ◽  
Structured Interview ◽  
Secondary Market ◽  
Fundamental Aspect ◽  
Macroeconomic Factors ◽  
Stock Market Investors

The paper attempts to examine the experience of the Nepalese investors at the secondary market. The paper explored the investment decisions process of the Nepalese investors. The paper has adopted the grounded theory to generate the theory from the data collected from the semi-structured interview from the stock market investors having an academic background in management. The findings revealed that the investors are eager to invest in the stock market and go for a better experience from their trading at the NEPSE floor. The study exposed a mixed opinion in context to the understanding of the macroeconomic aspects and their influence on investment decisions. The investors forwarded that there is no relation between their investment decision-making process and the macroeconomic factors, while some of the investors stated that they see a connection of the economy with the stock market directly or indirectly. The study came out that the major concern of the Nepalese investors is a fundamental aspect of the listed companies while selecting for an investment. At the same time, investors stated that they go for technical analysis or follow the market trend for the short-term trading at NEPSE floor. The investors are seen at one point that the unstable political situation and insider trading have been major challenges, in context to the Nepalese stock market. Finally, the excessive flow of information related to the listed companies either with some validity or not, makes an investor’s investment decisions go wrong. 

scholarly journals The Decision-making Model for the Stock Market under Uncertainty

2017 ◽  
Vol 7 (5) ◽  
pp. 2782 ◽  
Author(s):  
Siham Abdulmalik Mohammed Almasani ◽  
Valery Ivanovich Finaev ◽  
Wadeea Ahmed Abdo Qaid ◽  
Alexander Vladimirovich Tychinsky
Keyword(s):  
Decision Making ◽  
Stock Market ◽  
Fuzzy Inference ◽  
Significant Degree ◽  
Analytical Models ◽  
Situational Analysis ◽  
Analytical Prediction ◽  
Analysis Model ◽  
Expected Return ◽  
Market State

<p>The main purpose of this research is developing methods and models of decision-making to assess the stock market state, and predict the possible changes in the RTS index value. This article shows that the analytical models for assessing the stock market state do not give reliable results. The absence of the reliable estimates associated with the high degree of uncertainty, random, nonlinear and non-stationary process with a significant degree of aftereffect. In this paper, to formalize the securities market parameters it’s proposed the fuzzy sets method. To assess the stock market current state and make decisions the fuzzy situational analysis model (situational model) is applied. The analytical prediction results of the stock market and graph of the RTS index expected return changes in 2014-2016 are showed. The model of calculating the fuzzy inference rules truth degree to predict the RTS index is developed. The market parameters linguistic definition is given and the expert’s rules construction to predict the RTS index growth is shown. The program in Matlab environment is designed to perform research. The study result showed that the model allows for the RTS index prediction in the condition of incomplete initial data with a confidence level about 90%.</p>

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