scholarly journals Factors Affecting Investors’ Perception towards Investment in Stock Market in Bangladesh: A Study on Investor’s of Khulna City

2018 ◽  
pp. 67-82
Author(s):  
S. M. Zahidur Rahman ◽  
Jannatul Ferdous Bristy
Keyword(s):  
Factor Analysis ◽  
Stock Market ◽  
External Factor ◽  
Stock Exchange ◽  
Investment Decision ◽  
Securities And Exchange Commission ◽  
Demographic Characteristics ◽  
Influential Factors ◽  
Factors Affecting ◽  
Welch Test

Purpose: This study aimed to identify the investors’ perceptions towards investment decision in stock market of Bangladesh and to compare the identified influential factors with respect to the demographic characteristics of the investors. Methodology: Data have been collected from 160 investors of Dhaka Stock Exchange through structured closed-ended questionnaire designed with 5 point Likert scale having 25 variables. Factor analysis has been used to identify 7 core factors: internal, informational, economic, individual, strength and affordability, goodwill and external factor that are affecting investor’s preferences. Independent Samples t-test, ANOVA and Welch test have been used to identify gender, age, education and income wise differences. Findings: The study found that there were no significance differences in 24 out of 25 variables in terms of gender, 20 out of 25 variables in terms of age, 10 out of 25 variables in terms of education and 23 out of 25 variables in terms of occupation of the investors. Value: Listed companies, authorities and concerned parties in Securities and Exchange Commission and government will be benefited from this study.

scholarly journals Factors Affecting the Performance of Kuwait Stock Market

2016 ◽  
Vol 9 (5) ◽  
pp. 23
Author(s):  
Ebrahim Merza ◽  
Sayed-Abbas Almusawi
Keyword(s):  
Interest Rate ◽  
Real Estate ◽  
Stock Market ◽  
Banking Sector ◽  
Stock Exchange ◽  
Consumer Price Index ◽  
Gold Price ◽  
Oil Price ◽  
Factors Affecting ◽  
Insurance Sector

<p>This paper aims at finding the effective factors that influence three sectors in Kuwait stock exchange market (KSE) in addition to the whole stock market. The three sectors are banking, real estate and insurance sectors. The paper measures KSE performance through the average share prices calculated on a quarterly basis starting from 2005 until first quarter of 2015. It is found that each sector behaves differently towards macroeconomic variables. The most important determinants for the KSE overall market performance were found to be gold price and the deposits rate. Individually, the banking sector is influenced by consumer price index, interest rate on loans, oil price and gold price. The insurance sector is influenced by money supply, residential real estate price and oil price. The real estate sector is influenced by the exchange rate with respect to US dollars, interest rate on loans, oil price and gold price.</p>

Analysis of Factors Affecting Safety Management of Construction Site Based on Fuzzy Factor Analysis Model

2013 ◽  
Vol 753-755 ◽  
pp. 1862-1867 ◽  
Author(s):  
Long Jiang Shen ◽  
Suo Shi
Keyword(s):  
Factor Analysis ◽  
Safety Management ◽  
Common Factors ◽  
Correlation Coefficients ◽  
Construction Safety ◽  
Influential Factors ◽  
Analysis Model ◽  
Factor Analysis Model ◽  
Factors Affecting ◽  
Fuzzy Correlation

Thirty-nine influential factors of construction safety are identified in this study, and then five categories of respondents estimate their influential degrees through a questionnaire survey. In order to analyze these factors more accurately, a fuzzy factor analysis model (FFAM) is proposed. After calculating fuzzy eigenvalue, fuzzy correlation coefficients and factor loadings matrix in the model, seven different common factors are extracted. Finally, the author put forward several effective measures for improving construction safety based on these common factors.

scholarly journals Differences In Intrinsic Value With Stock Market Prices Using The Price Earning Ratio (Per) Approach As An Investment Decision Making Indicator (Case Study Of Manufacturing Companies In Indonesia Period 2016 - 2017)

2019 ◽  
Vol 1 (1) ◽  
pp. 82-92
Author(s):  
Ardy Indra Lekso Wibowo Putra ◽  
Aditya Dwiansyah Putra ◽  
Murni Sari Dewi ◽  
Denny Oktavina Radianto
Keyword(s):  
Decision Making ◽  
Stock Market ◽  
Stock Price ◽  
Stock Exchange ◽  
Intrinsic Value ◽  
Investment Decision ◽  
Manufacturing Companies ◽  
Market Prices ◽  
Investment Decision Making

An investor must be able to consider all kinds of steps that will be taken or that will be carried out, assessing stocks - shares that will provide optimal benefits in making an investment decision. By analyzing the intrinsic value of the price of a company's stock, investors can assess the fairness of the stock price. The method used to analize intrinsic value is fundamental analysis using the Price Earning Ratio (PER) approach. The samples to be taken in this research are manufacturing companies in Indonesia which are listed on the Indonesia Stock Exchange (IDX) for the period 2016 - 2017 with certain criteria. The results of this research will show that the shares of companies listed are in overvalued, undervalued or correctly valued conditions. So investors can decide to buy, hold or sell their shares.

scholarly journals Stock Market Returns and Weather Anomaly: Evidence from an Emerging Economy

2012 ◽  
Vol 4 (5) ◽  
pp. 239-244 ◽  
Author(s):  
Hammad Hassan Mirza ◽  
Naveed Mushtaq .
Keyword(s):  
Stock Market ◽  
Stock Exchange ◽  
Weather Condition ◽  
Efficient Market Hypothesis ◽  
Emerging Economy ◽  
Market Returns ◽  
Stock Market Returns ◽  
Factors Affecting ◽  
Temperature Records ◽  
The Impact

Financial economists believe that the arbitrage forces in the market are the main reason of market efficiency and these forces are the fundamental concept of efficient market hypothesis (EMH). During last few years, various theoretical and empirical evidences have been presented to support the work of financial modeling for the markets with less than rational investors whose trading strategies are based on psychological factors like mood and emotions. Weather condition is among the substantial factors affecting investors’ mood and emotions. Present study investigates the impact of temperature on stock market returns in emerging economy of Pakistan. Using the daily temperature records and stock market indices of Karachi and Islamabad, the study has employed auto regressive (AR) – generalized autoregressive conditional heteroscedasticity (GARCH) model from 2006 to 2010. Based on AR (1)-GARCH (1, 1) estimation the study has found that weather temperatures of both Karachi and Islamabad are negatively related with Karachi Stock Exchange (KSE) and Islamabad Stock Exchange (ISE) index returns, respectively.

scholarly journals Understanding the Investors’ Investment Decisions through Some Data Mining Tools- A Study in Dhaka Stock Exchange (DSE)

2018 ◽  
pp. 9-19
Author(s):  
Md. Khashrul Alam ◽  
S. M. Towhidur Rahman ◽  
Afifa Khanom
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Stock Market ◽  
Stock Exchange ◽  
Investment Decision ◽  
Scientific Data ◽  
Wrong Decision ◽  
Secondary Sources ◽  
Money Flow ◽  
Mining Tools

Purpose: Decision making is the process of choosing a particular alternative from a number of alternatives. Decision making is very much important in investment in the stock market. As it is enormously sensitive, a wrong decision may put the investor back to the street. Modern scientific data mining tools can play important role in making investment decision in the stock market. The purpose of the study is to find out the effectiveness of investors’ decision in buying and selling stock and the efficiency of some data mining tools in aiding investor’s decision. Methodology: This paper used several data mining techniques such as beta, Chaikin money flow indicator (CMI) and Bollinger band to analyze investors’ decision in buying and selling stocks. Data for the study were taken both from primary and secondary sources specially, from website of Dhaka Stock Exchange. Findings: The result shows that in most cases majority of investors failed to take right decision in right time in terms of the estimation derived from data mining tools used in the study. It was also found that Bollinger band was found to be more efficient than CMI in making prediction.

scholarly journals Weak form market efficiency test of Bangladesh Stock Exchange: an empirical evidence from Dhaka Stock Exchange and Chittagong Stock Exchange

2019 ◽  
Vol 21 (3) ◽  
pp. 285
Author(s):  
Shafir Zaman
Keyword(s):  
Stock Market ◽  
Market Efficiency ◽  
Empirical Evidence ◽  
Stock Markets ◽  
Stock Exchange ◽  
Investment Decision ◽  
Weak Form ◽  
Efficiency Test ◽  
Non Parametric ◽  
Weak Form Efficiency

Investors need to have an idea about stock market before making investment whether the stock markets are efficient or not to take investment decision in stock market. For that reason, measurement of market efficiency of stock market bears significance to investors. Bearing it in mind, the study is undertaken to find out the existence of weak form efficiency prevails in largest stock market of Bangladesh. In order to get perfect result Parametric and Non Parametric tests were conducted of DSE & CSE for 2013 to 2017. It was found from all tests that Dhaka and Chittagong Stock exchange are not weak form efficient. Therefore, the result of the study will act as a helping hand to researchers to find out the reason of Bangladesh stock market not being weak form efficient as well as providing measurement to make the stock market weak form efficient.

scholarly journals Impact of Behavioral Factors in Making Investment Decisions and Performance: Study on Investors of National Stock Exchange

2019 ◽  
Vol 11 (8) ◽  
pp. 80
Author(s):  
Sarika Keswani ◽  
Vippa Dhingra ◽  
Bharti Wadhwa
Keyword(s):  
Decision Making ◽  
Stock Exchange ◽  
Investment Decision ◽  
Individual Investors ◽  
Behavioral Factors ◽  
Performance Study ◽  
Investment Performance ◽  
Factors Affecting ◽  
Cronbach Alpha ◽  
The Impact

Market anomalies and irrational behavior caused investors changes in the stock market, and this has led to an investigation into the impact of various behavioral biases and factors affecting decision-making for individual investors. The purpose of this study was to find out the effect of the four factors, heuristic, prospect, market, herding on decisions of investors at NSE. Data are collected from the questionnaire on the basis of a likert scale. To determine the reliability of the questionnaire, the Cronbach alpha factor, which was 0.728, was used. EFA and multiple regression tests have been applied. Cronbach-alpha was used to check the interal consistency of the element. Cronbach alpha emphasized to each factor: Heuristic, Prospect, Market, Herding, Investment performance and Investors decisions that consistency at an acceptable level. The result of the analysis is that the four variables have greatly influenced the investment decision and return on investment. All behavioral variables have a significant impact on the decision-making process of investors, which led to the acceptance of all assumptions regarding the level of influence of behavioral factors in decision making for individual investors.

scholarly journals A Study on Factors Influencing Investment Decisions of Retail Investors in VUCA World

2021 ◽  
Vol 20 (1) ◽  
pp. 69-87
Author(s):  
Gowtham Ramkumar ◽  
S Chitra
Keyword(s):  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Investment Decision ◽  
Investment Decisions ◽  
Individual Investors ◽  
Factors Affecting ◽  
Statistical Measures ◽  
Factors Influencing ◽  
Retail Investors

In this paper, we seek to identify the factors influencing the investment decision of individual investors. Further, in the existing pandemic situation, which will cover the scope of the VUCA environment, it is important to understand the factors influencing investor’s investment decision. For this purpose, we used exploratory factor analysis to group the factors affecting an investor’s investment decision. Based on the findings, we identified four factors influencing investment preferences and the reliability of these factors are supported by strong statistical measures

scholarly journals The Behavior Patterns of Investors in Thailand Stock Market

2017 ◽  
Vol 9 (1) ◽  
pp. 155
Author(s):  
Quan Nhu Tran
Keyword(s):  
Stock Market ◽  
Stock Prices ◽  
Stock Exchange ◽  
Investment Decision ◽  
Behavior Patterns ◽  
Individual Investors ◽  
True Value ◽  
Investment Decision Making ◽  
Depth Interview ◽  
Decision Making Processes

The purpose of this paper is to investigate behavioral patterns expressed by investors in the Thailand stock market. The paper examines investment decision-making processes in the context of the current financial market in Thailand to shed some light on behavioral-induced pattern behind such investments. Data for this research was collated from 8 individual investors by semi-structured and in-depth interview. There are four behavioral factors of individual investors in Thailand Stock Exchange: Overconfidence, Excessive Optimism, Psychology of risk, and Herding Behavior. Securities Companies may also use the findings of this research for better understanding on investors’ decision to give better recommendations to them. Stock prices then reflect their true value and Thailand stock market becomes the yardstick of the economy’s wealth and helps enterprises to raise capital for business activities.

Analyzing causal relationships of effective factors on the decision making of individual investors to purchase shares

2019 ◽  
Vol 36 (1) ◽  
pp. 12-41
Author(s):  
Hossein Sayyadi Tooranloo ◽  
Pedram Azizi ◽  
Ali Sayyahpoor
Keyword(s):  
Decision Making ◽  
Stock Market ◽  
Stock Exchange ◽  
Individual Investors ◽  
Multi Criteria Decision Making ◽  
Causal Relationships ◽  
Content Type ◽  
Factors Affecting ◽  
Effective Factors

Purpose Changes in economic markets have made it necessary to understand the psychology of individual investors. Conducting effective studies on the decision of investors to buy stock in the stock market can be useful. Therefore, it is necessary to identify and prioritize the factors affecting the decision-making of investors to purchase shares of the stock exchange. The purpose of this study was to analyze causal relationships and to weight effective factors on individual investment to purchase shares of Tehran Stock Exchange. Design/methodology/approach The present study is applied research in the term of its purposes and a descriptive-survey one in the term of data gathering methods. The data required in this study was collected through library and field studies. The study population included 35 investment experts. In present study, multi-criteria decision-making techniques in type-2 fuzzy environments have been used to analyze the causal relationships and weighing the factors affecting individual investment in purchasing stock in the stock market. Findings In the study, 4 indicators and 20 sub-indicators influencing individual investors’ decision to purchase shares of Tehran Stock Exchange were selected based on the literature review in the field of investment in the stock exchange, as well as interviews with experts. Analyzing the opinions of experts showed that they have much paid attention to financial index compare to the economic, political and psychological indicators of the market in determining the priority of indicators. In analyzing sub-indicators, it was identified that Iranian investors pay special attention to economic and political developments, political news and international economic developments. Research limitations/implications The present study has been carried out in Iran, and therefore, is geographically limited to Iran. In thematic terms, it is limited to effective factors of individual investments in Tehran Stock Exchange. The statistical population of present study was limited to investing experts in Tehran Stock Exchange. The difference in financial, economic, social and political conditions of individuals was another limitation of present study. The main consequences of research were the explanation of causes of investors’ higher attention to financial factors than economic, political and mental factors of market in buying stocks. Originality/value Given the uncertainty in the market status, using multi-criteria decision-making techniques in financial analysis can help decision-makers to make better decisions. In addition, it would be possible to take into account many variables that do not have a mathematical aspect but are important in decision-making and lead to increased decision-making satisfaction. The research initially analyzed causal relationships of determinants of individual investment on stock exchange for buying stocks through a type-2 fuzzy approach.

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