scholarly journals Capital Investment Decision Making and Risk Management Methods: Evidence From Listed Companies on Pakistan Stock Exchange

2019 ◽  
Vol 5 (2) ◽  
pp. 291-302
Author(s):  
Mirza Nasir Mehdi ◽  
Anjum Ihsan ◽  
Shahid Bashir
Keyword(s):  
Decision Making ◽  
Risk Management ◽  
Capital Investment ◽  
Stock Exchange ◽  
Investment Decision ◽  
Corporate Managers ◽  
Investment Projects ◽  
Investment Decision Making ◽  
Management Techniques ◽  
Tools And Techniques

Capital Investment projects are evaluated and appraised by the corporate managers of business firms listed on PSX through different pragmatic methods, tools and techniques. The complexity of the application of all the methods simultaneously including traditional financial methods, strategic pragmatic methods and risk management methods, urge the corporate managers to apply at least one of the pragmatic methods so that projects’ capital investment decision making criterion or criteria may be reached at to measure the appropriate capital investment decision making. Keeping all this in view, this paper aims to study the risk management techniques rather than studying and measuring all the traditional methods. This paper examines the effect of financial and non-financial factors on risk management methods which are supported by different theories and empirical background with proper references and citations. The responses of the corporate managers of 250 listed business firms on PSX through regression analysis show that almost 80% of the factors have a direct relationship with Risk Management Methods. The maximum significant results of the study point out that the capital investment projects are also evaluated by the corporate managers through risk management methods but the application of the financial and strategic methods cannot be ignored. As many of the project financial experts apply the risk management methods simultaneously with the collaboration of other methods as well. The results also show that effect of firm size as a moderator is also partial significant.

Factors affecting investment decision-making in Pakistan stock exchange

2018 ◽  
Vol 05 (04) ◽  
pp. 1850033 ◽  
Author(s):  
Adeel Mumtaz ◽  
Tahir Saeed ◽  
M. Ramzan
Keyword(s):  
Decision Making ◽  
Corporate Governance ◽  
Risk Aversion ◽  
Stock Exchange ◽  
Investment Decision ◽  
Least Square ◽  
Individual Investors ◽  
Investment Decision Making ◽  
Tools And Techniques ◽  
The Impact

This study analyzes the impact of various factors like heuristic, risk aversion, financial tools and techniques, firm’s corporate governance, and day-to-day experience on the investor’s decision-making. The sample consisted of 701 individual investors trading in the Pakistan Stock Exchange. The Ordinary Least Square (OLS) is used for the estimation of research models. The findings revealed that heuristics, risk aversion, financial tools and techniques have a significant positive effect on the investment decisions of investors. The day-to-day experience and corporate governance (CG) play an important role in investment decision-making of the financial sector in Pakistan. This study will contribute to creating awareness in a diversity of investors for investing in the equity market and increases the investors’ confidence.

scholarly journals Pengaruh Financial Literacy, Representativeness Bias, Dan Bias Optimisme Terhadap Pengambilan Keputusan Investasi

2020 ◽  
Vol 2 (3) ◽  
pp. 2976-2991
Author(s):  
Silvia Putri ◽  
Halmawati Halmawati
Keyword(s):  
Decision Making ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Empirical Evidence ◽  
Financial Literacy ◽  
Stock Exchange ◽  
Investment Decision ◽  
Investment Decisions ◽  
State University ◽  
Investment Decision Making

This study aims to analyze 1) whether there is an influence of financial literacy on investment decision maknig. 2) Obtain empirical evidence whether there is an Representativeness bias making on investment decisions. 3) Does Bias optimisme affect investment decision making. In this study using Causality Design. Population and sampek are 104 respondents registered in the Indonesia Stock Exchange Investment Gallery (GIBEI) Faculty of Economics, State University of Padang. The method of analysis is multiple linear regression. The results of the study found 1) Financial literacy influences investment decisions on investment decision making.2) Optimum bias affects investment decisions on investment decision making. 3) Representativness influences investment decisions on investment decision making. 4) Together financial literacy variables, the optimum bias and representativness together influence the investment decision on investment decision making

scholarly journals The use of tools and approaches of system dynamics in the analysis of the efficiency of BIM implementation and its impact on the management and planning of investments in the construction sector

2019 ◽  
Vol 279 ◽  
pp. 01011
Author(s):  
Martin Hotový
Keyword(s):  
Decision Making ◽  
System Dynamics ◽  
Dynamic Model ◽  
Investment Decision ◽  
Construction Sector ◽  
Strategic Investment ◽  
Investment Projects ◽  
Investment Decision Making ◽  
Proposed Model ◽  
The Impact

This paper presents the use of tools and approaches of system dynamics in the analysis of the efficiency of BIM tools implementation in relation to the management and planning of investments in the construction sector. The dynamic model based on the approach of system dynamics allows to simulate the impact rate (range) of BIM implementation in strategic investment decision-making in the construction sector. Based on the analysis, the key parameters critically affecting the large construction investment projects are determined. The proposed model is implemented as a submodel in the dynamic model designed for potential refinements in the strategic planning of the extent of investments into projects of civil infrastructure of the Czech Republic. The model allows to test different strategies in the virtual world before their implementation. The prediction of future developments based on the proposed model allows to streamline planning and decision-making processes.

scholarly journals An Analysis of Behavioral Biases in Investment Decision-Making

2019 ◽  
Vol 10 (4) ◽  
pp. 55 ◽  
Author(s):  
Geetika Madaan ◽  
Sanjeet Singh
Keyword(s):  
Decision Making ◽  
Positive Impact ◽  
Stock Exchange ◽  
Investment Decision ◽  
Investment Decisions ◽  
Individual Investors ◽  
Behavioral Biases ◽  
Investment Decision Making ◽  
Survey Responses ◽  
The Impact

Individual investor’s behavior is extensively influenced by various biases that highlighted in the growing discipline of behavior finance. Therefore, this study is also one of another effort to assess the impact of behavioral biases in investment decision-making in National Stock Exchange. A questionnaire is designed and through survey responses collected from 243 investors. The present research has applied inferential statistics and descriptive statistics. In the existing study, four behavioral biases have been reviewed namely, overconfidence, anchoring, disposition effect and herding behavior. The results show that overconfidence and herding bias have significant positive impact on investment decision. Overall results conclude that individual investors have limited knowledge and more prone towards making psychological errors. The findings of the study also indicate the existence of these four behavioral biases on individual investment decisions. This study will be helpful to financial intermediaries to advice their clients. Further, study can be elaborated to study other behavioral biases on investment decisions.

Financial Appraisal and the IS/IT Investment Decision Making Process

1998 ◽  
Vol 13 (1) ◽  
pp. 3-14 ◽  
Author(s):  
Joan Ballantine ◽  
Stephanie Stray
Keyword(s):  
Decision Making ◽  
Information Technology ◽  
Capital Investment ◽  
Investment Decision ◽  
Decision Making Process ◽  
It Investment ◽  
It Investments ◽  
Investment Appraisal ◽  
Investment Decision Making ◽  
Financial Appraisal

This paper explores the techniques used by organizations to appraise Information Systems (IS)/Information Technology (IT) investments, and concentrates, in particular, on techniques of capital investment appraisal. We draw on relevant studies reported in both the accounting and finance, and the IS literature, which have addressed their usage. Where possible comparisons are drawn between both sets of literatures. The results of a survey that specifically examined IS/IT investment appraisal practices of a sample of UK companies is also presented. Among the issues discussed include the extent to which capital investment appraisal techniques are used to appraisal investments, the importance of the techniques used and the problems attendant on the decision making process.

scholarly journals How do emotional intelligence and behavioral biases of investors determine their investment decisions?

2020 ◽  
Vol 14 (1) ◽  
pp. 35-47
Author(s):  
Saloni Raheja ◽  
Babli Dhiman
Keyword(s):  
Decision Making ◽  
Stock Exchange ◽  
Investment Decision ◽  
Sample Selection ◽  
Investment Decisions ◽  
Risk Tolerance ◽  
Content Type ◽  
Behavioral Biases ◽  
Investment Decision Making ◽  
The Impact

Purpose In earlier studies, research has shown that EI is the only element, which influences the ways in which people develop in their lives, jobs and social skills control their emotions and get along with other people. It is EI that dictates the way people deal with one another and understand emotions. The research gap is to explore the impact of behavioral factors and investors psychology on their investment decision-making. Design/methodology/approach The information was gathered from 500 financial specialists. The region of research was the financial specialists who contribute through LSC Securities Ltd. in Punjab State. The purposive testing system was used in this examination. Findings The investigation found that the positive connection between the conduct predispositions of the financial specialists and venture choices of the speculators and positive connection between enthusiastic insight of the financial specialists and their venture choices. Yet, the authors found that the enthusiastic insight better foresees the venture choices of the financial specialists than the conduct predispositions of the speculators. Among the different elements of conduct inclinations of the speculator’s lament and carelessness are identified with the financial specialist’s venture choices. Among the various estimations of eager understanding – care, dealing with emotions, motivation, empathy and social aptitudes are related to the hypothesis decisions of the monetary pros. Research limitations/implications The sample selection was based on purposive sampling, rather than a random probability sample. The sample was area specific, restricted only to Ludhiana Stock Exchange in Punjab state. Therefore, the results of the study cannot be generalized with certainty to all the investors investing through other exchanges in other states. The inferences are based on the assumption that the data provided by the investors are true and correct. The findings may be relevant for other stock exchanges as that of the Ludhiana Stock Exchange. However, the authors do not claim the generalization of the results. Practical implications This study also helps to understand the relationship between investment decision-making and risk tolerance of investors. It will helpful for the financial advisors to know the behavioral biases of investors while making an investment decision, and therefore, they can advise investors properly to mitigate such biases. It may help the investors in understanding the subjective part of their behavior and control their emotions while taking decisions for their investment in stock market options. Social implications This research will help investment advisors and finance professionals to judge investors’ attitudes toward risk in a better way, which leads to better investment decisions. Originality/value This study is my own study and it is original and has not been published anywhere.

scholarly journals The Evaluation of the Contractor’s Risk in Implementing the Investment Projects in Construction by Using the Verbal Analysis Methods

2019 ◽  
Vol 11 (9) ◽  
pp. 2660 ◽  
Author(s):  
Galina Shevchenko ◽  
Leonas Ustinovichius ◽  
Dariusz Walasek
Keyword(s):  
Decision Making ◽  
Influencing Factors ◽  
Investment Decision ◽  
Investment Projects ◽  
Qualitative And Quantitative ◽  
Construction Companies ◽  
Analysis Methods ◽  
Investment Decision Making ◽  
Verbal Analysis ◽  
Potential Profit

The growth of the company’s investment potential is closely associated with the evaluation of the attendant risks of the process, various influencing factors, and the expected results. Therefore, the analysis of a number of qualitative and quantitative criteria of the projects and risks, as well as the potential profit-making opportunities in the investment decision making is required. This paper analyzes a decision-making strategy based on qualitative estimates obtained by investigating the risks posed, the management methods used, and the application of the proposed methods for assessing the contractor’s risk in construction companies.

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.

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