Market behavior is a broad economic term that refers to the behavior of consumers, businesses, or the stock market. It is often analyzed and used to generate various marketing strategies aimed at boosting sales or brand recognition when dealing with businesses and consumers by analyzing their purchasing behavior. Bulk amount of the data output generated by the stock market is considered to be a treasure house of knowledge for investors; several studies have been conducted in an attempt to predict the stock market trends. Hence, it is imminent to uncover the behavior of the stock market data in order to avoid future investment risks for the investors. Technical analysis of stocks and trends is the study of historical market data, including price and volume. Using both behavioral economics and quantitative analysis, technical analysts aim to use

Data Analysis and Statistical Behaviors of Stock Market Fluctuations Jun Wang analysis is introduced to study the market fluctuations. The technique, known as a Zipf plot, is a plot of log of influence on the economic behavior of individuals and firms, as a result, it affects the economic development of Analyze the behavior of the stock market to speculate stock prices correctly. The stock market behaves differently at different points of time depending on the overall market trend and so many other factors. The behavior of the stock market or the market trend has different phases that can be categorized in two types – primary trend and the secondary trend. The market behavior is determined by the primary trend of the market. The theory that most overtly opposes behavioral finance is the efficient market hypothesis (EMH), associated with Eugene Fama (University of Chicago) & Ken French (MIT). Their theory that market prices efficiently incorporate all available information depends on the premise that investors are rational. EMH Wild fluctuations in stock prices 1,2,3,4,5,6,7,8 continue to have a huge impact on the world economy and the personal fortunes of millions, shedding light on the complex nature of financial and economic systems. For these systems, a truly gargantuan amount of pre-existing precise financial market data 9,10,11 complemented by new big data ressources 12,13,14,15 is available for analyses.

Key words: European accession, CEE equity markets, test-statistics, descriptive statistics. 1. Introduction. Stock markets in Central and Eastern European countries 

Outlines research on the factors which reduce stock market efficiency and the the behaviour of stock prices in an emerging market: an empirical analysis of the   Our analysis cover all A-share stocks (shares issued to domestic investors) traded in the SZSE during the sample period of 2012 to 2015. As of January 31, 2015,  26 Nov 2019 physiological, rational and irrational behavior, etc. All these aspects combine to make share prices volatile and very difficult to predict with a high  Key words: European accession, CEE equity markets, test-statistics, descriptive statistics. 1. Introduction. Stock markets in Central and Eastern European countries  An Empirical Analysis of Behavioral Finance in the Saudi Stock Market: Evidence of Overconfidence Behavior. Soleman Alsabban, Omar Alarfaj  Empirical Analysis of Chinese Stock Market Behavior: Evidence from Dynamic Correlations, Herding Behavior, and Speed of Adjustment. A Thesis. Submitted to  

An Empirical Analysis of Behavioral Finance in the Saudi Stock Market: Evidence of Overconfidence Behavior. Soleman Alsabban, Omar Alarfaj 

BEHAVIOR OF STOCK-MARKET PRICES 37 On the other hand, an anticipated long-term trend in the intrinsic value of a given security can arise in the following way.4 Suppose we have two unlevered companies which are identical in all re-spects except dividend policy. That is, both companies have the same current and anticipated investment opportuni- Behavioral Analysis of Markets is a new area of study, proposed by James Gregory Savoldi, closely related to behavioral finance, behavioral economics and socionomics. Unlike traditional models of behavioral analysis which typically integrate insights from psychology with neo-classical economic theory, Behavioral Analysts of markets focus entirely on the psychology of actual market participants and how their present moods control market price movement. Behavioral Analysts are divided into two gro

26 Nov 2019 physiological, rational and irrational behavior, etc. All these aspects combine to make share prices volatile and very difficult to predict with a high 

3 Jul 2017 Classification analysis is used to predict the stock market behavior. We use Naïve Bayes and K-. NN algorithms to build our model. The prediction  Market behavior is a broad economic term that refers to the behavior of consumers, businesses, or the stock market. It is often analyzed and used to generate various marketing strategies aimed at boosting sales or brand recognition when dealing with businesses and consumers by analyzing their purchasing behavior. Bulk amount of the data output generated by the stock market is considered to be a treasure house of knowledge for investors; several studies have been conducted in an attempt to predict the stock market trends. Hence, it is imminent to uncover the behavior of the stock market data in order to avoid future investment risks for the investors. Technical analysis of stocks and trends is the study of historical market data, including price and volume. Using both behavioral economics and quantitative analysis, technical analysts aim to use At the time of investment investors' emotional inclinations, ingrained thought patterns, psychological biases, and other factors may affect their investment behaviour. In this context the research work has made an analysis of individual investors In this paper we have analyzed scaling properties and cyclical behavior of the three types of stock market indexes (SMI) time series: data belonging to stock markets of developed economies, emerging economies, and of the underdeveloped or transitional economies.

Bulk amount of the data output generated by the stock market is considered to be a treasure house of knowledge for investors; several studies have been conducted in an attempt to predict the stock market trends. Hence, it is imminent to uncover the behavior of the stock market data in order to avoid future investment risks for the investors.

Data Analysis and Statistical Behaviors of Stock Market Fluctuations Jun Wang analysis is introduced to study the market fluctuations. The technique, known as a Zipf plot, is a plot of log of influence on the economic behavior of individuals and firms, as a result, it affects the economic development of Analyze the behavior of the stock market to speculate stock prices correctly. The stock market behaves differently at different points of time depending on the overall market trend and so many other factors. The behavior of the stock market or the market trend has different phases that can be categorized in two types – primary trend and the secondary trend. The market behavior is determined by the primary trend of the market. The theory that most overtly opposes behavioral finance is the efficient market hypothesis (EMH), associated with Eugene Fama (University of Chicago) & Ken French (MIT). Their theory that market prices efficiently incorporate all available information depends on the premise that investors are rational. EMH Wild fluctuations in stock prices 1,2,3,4,5,6,7,8 continue to have a huge impact on the world economy and the personal fortunes of millions, shedding light on the complex nature of financial and economic systems. For these systems, a truly gargantuan amount of pre-existing precise financial market data 9,10,11 complemented by new big data ressources 12,13,14,15 is available for analyses. Artificial Intelligence Stock Market Summary Algorithms are being used every day to analyze human behavior and decision-making Companies use these algorithms to reach relevant customers and expand their reach AI could prove to be beneficial to employers seeking a diverse and successful company Using Algorithms to…

At the time of investment investors' emotional inclinations, ingrained thought patterns, psychological biases, and other factors may affect their investment behaviour. In this context the research work has made an analysis of individual investors In this paper we have analyzed scaling properties and cyclical behavior of the three types of stock market indexes (SMI) time series: data belonging to stock markets of developed economies, emerging economies, and of the underdeveloped or transitional economies. Stock market returns are a leading indicator, the stock market usually begins to decline before the economy as a whole declines and usually begins to improve before the general economy begins to recover from a slump. BEHAVIOR OF STOCK-MARKET PRICES 5 1 to overestimate the significance level. tion P of all samples. the most extreme since in samples of 1. 300 an extreme value of a given tail would be smaller in value greater than a given size is more absolute value than the extreme value probable than in samples of 1.000. BEHAVIOR OF STOCK-MARKET PRICES 37 On the other hand, an anticipated long-term trend in the intrinsic value of a given security can arise in the following way.4 Suppose we have two unlevered companies which are identical in all re-spects except dividend policy. That is, both companies have the same current and anticipated investment opportuni- Behavioral Analysis of Markets is a new area of study, proposed by James Gregory Savoldi, closely related to behavioral finance, behavioral economics and socionomics. Unlike traditional models of behavioral analysis which typically integrate insights from psychology with neo-classical economic theory, Behavioral Analysts of markets focus entirely on the psychology of actual market participants and how their present moods control market price movement. Behavioral Analysts are divided into two gro