scholarly journals The Impact of Market Anomalies on Investment Decision in Egyptian Stock of Exchange

2021 ◽  
Vol 7 (11) ◽  
pp. 83-106
Author(s):  
Salwa Zaki Mostafa abo El-Soud
Keyword(s):  
Investment Decision ◽  
Market Anomalies ◽  
The Impact

A Study on Investment Decision of Investors With Reference to Penetration of Mutual Funds in India

2016 ◽  
Vol 5 (2) ◽  
Author(s):  
Ratish C Gupta ◽  
Dr. Manish Mittal
Keyword(s):  
Decision Making ◽  
Real Estate ◽  
Mutual Funds ◽  
Capital Markets ◽  
Mutual Fund ◽  
Financial Services ◽  
Investment Decision ◽  
Fund Industry ◽  
Mutual Fund Industry ◽  
The Impact

The Indian mutual fund industry is one of the fastest growing and most competitive segments of the financial sector. The extent of under-penetration in the market is a sore point with the financial services industry, with a large amount of savings being channelized into fixed deposits, gold and real estate rather than the capital markets. The mutual fund industry is yet to spread its reach beyond Tier I cities. The top fifteen cities contribute to 85% of the pie, with the remaining 15% distributed among other cities. The study seeks to determine the impact of decision making of investors on current situation of mutual fund industry.

scholarly journals A Comparative Analysis on Probability of Volatility Clusters on Cryptocurrencies, and FOREX Currencies

2021 ◽  
Vol 14 (7) ◽  
pp. 308
Author(s):  
Usha Rekha Chinthapalli
Keyword(s):  
Investment Decision ◽  
Theoretical Work ◽  
Financial Asset ◽  
Dynamic Features ◽  
Asset Return ◽  
Financial Variables ◽  
Ann Models ◽  
Hidden Layer ◽  
Association Structure ◽  
The Impact

In recent years, the attention of investors, practitioners and academics has grown in cryptocurrency. Initially, the cryptocurrency was designed as a viable digital currency implementation, and subsequently, numerous derivatives were produced in a range of sectors, including nonmonetary activities, financial transactions, and even capital management. The high volatility of exchange rates is one of the main features of cryptocurrencies. The article presents an interesting way to estimate the probability of cryptocurrency volatility clusters. In this regard, the paper explores exponential hybrid methodologies GARCH (or EGARCH) and through its portrayal as a financial asset, ANN models will provide analytical insight into bitcoin. Meanwhile, more scalable modelling is needed to fit financial variable characteristics such as ANN models because of the dynamic, nonlinear association structure between financial variables. For financial forecasting, BP is contained in the most popular methods of neural network training. The backpropagation method is employed to train the two models to determine which one performs the best in terms of predicting. This architecture consists of one hidden layer and one input layer with N neurons. Recent theoretical work on crypto-asset return behavior and risk management is supported by this research. In comparison with other traditional asset classes, these results give appropriate data on the behavior, allowing them to adopt the suitable investment decision. The study conclusions are based on a comparison between the dynamic features of cryptocurrencies and FOREX Currency’s traditional mass financial asset. Thus, the result illustrates how well the probability clusters show the impact on cryptocurrency and currencies. This research covers the sample period between August 2017 and August 2020, as cryptocurrency became popular around that period. The following methodology was implemented and simulated using Eviews and SPSS software. The performance evaluation of the cryptocurrencies is compared with FOREX currencies for better comparative study respectively.

scholarly journals Impact of Heuristics on Investment Decisions: The Moderating Role of Locus of Control

2020 ◽  
Vol 5 (1) ◽  
pp. 1-14
Author(s):  
Jeetendra Dangol ◽  
Rashmita Manandhar
Keyword(s):  
Decision Making ◽  
Locus Of Control ◽  
Investment Decision ◽  
Investment Decisions ◽  
Sampling Procedure ◽  
Moderating Effect ◽  
Moderation Effect ◽  
Investment Decision Making ◽  
Overconfidence Bias ◽  
The Impact

This paper aims to assess the impact of heuristics on the investment decision by analysing the effect of four heuristic biases, i.e., representativeness, availability, anchoring and adjustment, and overconfidence bias on rationality of Nepalese investor's investment decision-making and also examines the moderating effect of the internal locus of control in between. The study used 391 respondents based on a convenient sampling procedure, and structured questionnaire survey. The study result indicates that there is a significant relationship between irrationality in investment decision-making and all four heuristic biases. In addition, the study also concludes that locus of control has significant moderating effect in the relationship between investment decisions and three heuristic biases, i.e., availability, representative and anchoring bias. However, the study documents no moderation effect in case of relationship with overconfidence bias.

Analytical redefinition of DOL and managerial investment decisions

2014 ◽  
Vol 40 (7) ◽  
pp. 734-754 ◽  
Author(s):  
Yoram Kroll ◽  
David Yechiam Aharon
Keyword(s):  
Large Scale ◽  
Investment Decision ◽  
Production Level ◽  
Fixed Cost ◽  
Theoretical Formulation ◽  
Optimal Production ◽  
Demand Shocks ◽  
Content Type ◽  
Operating Leverage ◽  
The Impact

Purpose – The purpose of this paper is to develop alternative analytical measures for the degree of operating leverage (DOL) that reflect the impact of uncertain demand shocks in the product's market on optimal production levels, sales and profits of the firm. Design/methodology/approach – The elasticity measures are constructed according to a theoretical formulation of optimal production level that corresponds to demand shocks for given predetermined levels of fixed cost. Findings – The paper suggests two main findings. First, the analytical marginal DOL is at least twice the traditional DOL depending on the structure of the shock, the production function and demand's elasticity. The traditional DOL is equal to the measure only when large-scale negative demand prompts the firm to abandon production. Second, the paper also provides an analytical measure of DOL in terms of elasticity of profit to sales rather than to production level. Both theoretically and empirically elasticity of profit to sales can be better measured and better reflects risk. Research limitations/implications – This paper should be extended to encompass multiple shocks on demand and supply while investigating the empirical multi variants distribution of the shocks. Practical implications – The model can be used by managers who are well informed about the fixed and variable costs of their firm. The model determines the mean profit- risk trade off which is an important factor in all investment decision problems. Originality/value – Surprisingly and according to the best knowledge, this paper is the first attempt in the literature for alternative analytical DOLs’ formulations that is coherent with basic economic theories of optimal production level under risk.

The “Surge Phenomenon” of Macro Economy in Developing Countries from the Perspective of Tobacco Economy

2021 ◽  
Vol 7 (4) ◽  
pp. 663-673
Author(s):  
Lulu Liu
Keyword(s):  
Developing Countries ◽  
Tobacco Industry ◽  
Investment Decision ◽  
Relevant Literature ◽  
Economic Benefits ◽  
Social Costs ◽  
Advantages And Disadvantages ◽  
The Social ◽  
The Government ◽  
The Impact

Objectives: Starting from the tobacco economy, this paper studies the “surge phenomenon” of macro-economy in developing countries. Methods: This paper studies the impact of tobacco industry on Anhui economy by using the relevant theories of industrial economics, econometrics and regulatory economics, combined with the actual situation of tobacco industry. Based on the analysis of the overall development of tobacco industry, this paper empirically analyzes the relationship between tobacco industry and Anhui economic growth. This paper combs the relevant literature of the existing research results of this theory. Combined with the special fact that government investment accounts for a large proportion in China’s current economic construction, this paper redefines the hypothesis of the investor in the theory of principles. On this basis, the expected equilibrium results of enterprise investment decision-making under government led and market led modes are compared and analyzed by using incomplete information static game model. Results: When the output value of tobacco industry increases by 1%, it will drive the GDP to increase by 0.373%. Secondly, by comparing the economic benefits of tobacco with the social costs of tobacco, it is found that with the economic development, the social costs caused by tobacco increase year by year, but the economic benefits are slightly greater than the social costs. The difference between the two is also increasing year by year. Conclusion: In the context of tobacco control, we should fully consider the advantages and disadvantages of developing the tobacco industry. Under the excessive intervention of the government, the manifestation of the surge phenomenon is more intense, and the final consequence of overcapacity is more serious than that under the market-oriented mode..

Insider Trading Laws and Corporate Governance Impact on Investment Decision

2021 ◽  
Vol 3 (2) ◽  
pp. 126-137
Author(s):  
Sadaf Khan ◽  
Ubaid Ur Rehman
Keyword(s):  
Corporate Governance ◽  
Insider Trading ◽  
Positive Impact ◽  
Investment Decision ◽  
Investment Decisions ◽  
Future Research ◽  
Good Corporate Governance ◽  
Governance Practices ◽  
The Government ◽  
The Impact

This research aims to analyze the impact of insider trading laws and corporate governance on investment decisions. For this purpose, the data of 400 potential and actual investors employed who provided their feedback on a structured questionnaire. When the data is collected, it was cleaned. The normality of data and reliability of items were also checked and within limits. Simple Regression was applied to test hypotheses. It was concluded that the perception of insider trading laws and corporate governance have a positive impact on investment decisions. The study has wide implications and the government and corporation both can be beneficial from its insight and findings, and exercise good corporate governance practices and follow stringent insider trading laws. The study also paves the way for future research.

Does salience matter in investment decision?

Kybernetes ◽  
2019 ◽  
Vol 48 (8) ◽  
pp. 1894-1912
Author(s):  
Samra Chaudary
Keyword(s):  
Investment Decision ◽  
Investment Decisions ◽  
Equation Modeling ◽  
Individual Investors ◽  
Short Term ◽  
Content Type ◽  
Multigroup Analysis ◽  
Money Managers ◽  
The Impact

Purpose The paper takes a behavioral approach by making use of the prospect theory to unveil the impact of salience on short-term and long-term investment decisions. This paper aims to investigate the group differences for two types of investors’ groups, i.e. individual investors and professional investors. Design/methodology/approach The study uses partial least square-based structural equation modeling technique, measurement invariance test and multigroup analysis test on a unique data set of 277 active equity traders which included professional money managers and individual investors. Findings Results showed that salience has a significant positive impact on both short-term and long-term investment decisions. The impact was almost 1.5 times higher for long-term investment decision as compared to short-term decision. Furthermore, multigroup analysis revealed that the two groups (individual investors and professional investors) were statistically significantly different from each other. Research limitations/implications The study has implications for financial regulators, money managers and individual investors as it was found that individual investors suffer more with salience heuristic and may end up with sub-optimal portfolios due to inefficient diversification. Thus, investors should be cautious in fully relying on salience and avoid such bias to improve investment returns. Practical implications The study concludes with a discussion of policy and regulatory implications on how to minimize salience bias to achieve optimum and diversified portfolios. Originality/value The study has significantly contributed to the growing body of applied behavioral research in the discipline of finance.

scholarly journals Environment and Potential Affecting Investment Decision for Accommodation Business: Case of Less Visited Area in Samut Songkhram and Phatthalung Province

2021 ◽  
Vol 58 (2) ◽  
pp. 1706-1717
Author(s):  
Krisada Sungkhamanee, Piyadhida Sungkhamanee
Keyword(s):  
Financial Literacy ◽  
Investment Decision ◽  
Investment Decisions ◽  
Business Case ◽  
Potential Factors ◽  
Short Term Investment ◽  
The Impact ◽  
Moderating Role

Investment decisions have great importance in different sectors of various countries and these decisions are the basis on which the outcomes of the investments are based. However, there might be certain factors that might lead to the incorrect long term and short term investment decisions. In this regard, the current study has been conducted with the core motive to explore the impact casted by the environment and potential factors i.e. salience and overconfidence on the long term investment decisions for accommodation business along with the moderation of a variable i.e. financial literacy. To fulfill this objective, the researcher has collected data from the investors of accommodation businesses in Thailand. The collected data has been subjected to different statistical techniques and tools for analysis purpose and the results have been obtained. The results obtained by the analysis of the collected data indicate that salience and overconfidence have significant impact on the long term investment decision. In addition, the moderating role of financial literacy has also been found as significant in the study. The results suggest that the investors of the accommodation business must consider the aspects of salience and overconfidence before taking any long term investment decision to avoid failure of the investment decision.    

scholarly journals Research on Power Grid Investment Assistant Decision Model Adapting to Power Reform Situation

2020 ◽  
Vol 218 ◽  
pp. 02026
Author(s):  
Yidi Wan ◽  
Wei Xie ◽  
Haihong Du ◽  
Wenming Pan ◽  
Jianqing Li ◽  
...  
Keyword(s):  
Decision Making ◽  
Investment Decision ◽  
Power Grid ◽  
Scale Structure ◽  
Leading Role ◽  
Investment Decision Making ◽  
Investment Structure ◽  
External Management ◽  
Power Grid Planning ◽  
The Impact

in order to thoroughly implement the new energy security strategy of “four revolutions and one cooperation”, meet the requirements of power grid planning and management of energy administration, realize the strategic objectives of State Grid Corporation of China, actively respond to the severe external economic situation, alleviate the impact of policy-based price reduction, and improve the performance of internal investment management, the company needs scientific front-end decision-making, improve the efficiency of investment decision-making, scientifically determine the investment scale, structure and timing, and play a strategic leading role in investment decision-making. Through the analysis of internal and external management requirements, this paper constructs an auxiliary decision-making model of power grid investment to support the determination of investment scale, structure and time sequence, to realize the reasonable investment scale calculation of provincial companies, the calculation of investment structure of different voltage levels and the optimization of project delivery under the condition of given investment scale, which comprehensively considers the external supervision, economic development and internal management objectives, so as to assist the prior investment decision-making, improve the input-output efficiency, effectively improve the Advisory decision-making ability of investment data, and meet the company’s investment decision-making needs.

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