scholarly journals The Impact of Oil Price Volatility on Welfare in the Kingdom of Saudi Arabia: Implications for Public Investment Decision-making

2014 ◽  
Vol 35 (2) ◽  
Author(s):  
Axel Pierru ◽  
Walid Matar
Keyword(s):  
Decision Making ◽  
Saudi Arabia ◽  
Public Investment ◽  
Investment Decision ◽  
Price Volatility ◽  
Oil Price ◽  
Kingdom Of Saudi Arabia ◽  
Oil Price Volatility ◽  
Investment Decision Making ◽  
The Impact

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.

scholarly journals The Relationship between Accounting Information Systems and Making Investment Decisions in the Industrial Companies Listed in the Saudi Stock Market

2017 ◽  
Vol 10 (6) ◽  
pp. 199 ◽  
Author(s):  
Qasim Alawaqleh ◽  
Mahmoud Al-Sohaimat
Keyword(s):  
Decision Making ◽  
Information Systems ◽  
Investment Decision ◽  
Accounting Information ◽  
Kingdom Of Saudi Arabia ◽  
Policy Makers ◽  
Accounting Information Systems ◽  
Industrial Companies ◽  
Investment Decision Making ◽  
The Relationship

The study aimed to measure the relationship between the investment decision-making in the industrial companies listed in the Saudi Stock Market with the (IVs) characteristics of the accounting information systems (appropriateness and reliability, comparability and understanding), and renovation and maintenance of the hardware and software. The problem in the Kingdom of Saudi Arabia is that the government depends on oil revenues more than on attracting investments, therefore, the importance of this study is constituted by the provision of critical recommendations to policy makers in the Kingdom of Saudi Arabia in order to overcome this issue and improve the investments. In order to achieve the objectives of this study, questionnaires were administered to 194 people representing the study population; a multiple regression (standard regression) was also used to test the study hypotheses. In general, all variables were positively significantly related with the investment decision-making.The findings of this study also showed that the independent variables explained more than 65% of the variance in investment decision-making. The Saudi government and policy makers should issue new regulations to increase the interest in accounting information systems in order to attract the investment. In relation to the practical and theoretical contribution, this study used new variables in the new model, such as renovation and maintenance of the hardware and software. Furthermore, practical contribution will help policy makers and the Saudi government to advance in this area and implement new policies for investors in order to protect the economy and the society stability due to the war in Yemen and Syria.

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.

scholarly journals Impact of Behavioral Biases on Investment Decision Making with Moderating Role of Financial Literacy

2018 ◽  
Vol 6 (2) ◽  
pp. 34-41
Author(s):  
Rizwan Khalid ◽  
◽  
Muhammad Javed ◽  
Khurram Shahzad ◽  
◽  
...  
Keyword(s):  
Decision Making ◽  
Financial Literacy ◽  
Positive Impact ◽  
Investment Decision ◽  
Structure Questionnaire ◽  
Investment Decision Making ◽  
Overconfidence Bias ◽  
The Impact ◽  
Moderating Role

The objective of this study is to examine the Impact of Overconfidence bias and Herding bias on Investment Decision Making with Moderating Role of Financial Literacy. The population was Investor, Employee and Graduate Student. A sample of 200 was selected using convenience technique. Data were collected through structure questionnaire adopted from different papers. Correlation and Regression analysis were performed to examine the result. The Results show that overconfidence bias and herding bias have a positive impact on investment decision making and Financial Literacy has positive impact on investment decision making. Based on the results and discussions of the study findings as well as the limitations, theoretical and practical implications of the study have been provided.

scholarly journals EXPLORING THE INFLATIONARY EFFECT OF OIL PRICE VOLATILITY IN AFRICA’S OIL EXPORTING COUNTRIES

2020 ◽  
pp. 113
Author(s):  
Sina Jimoh Ogede ◽  
Emmanuel Oladapo George ◽  
Ibrahim Ayoade Adekunle
Keyword(s):  
Price Volatility ◽  
Estimation Procedure ◽  
Oil Price ◽  
Price Inflation ◽  
Substantial Impact ◽  
Oil Price Volatility ◽  
Relationship Outcomes ◽  
Precautionary Measures ◽  
Level Of Significance ◽  
The Impact

A range of explanations had been offered for the apparent change in oil price-inflation relationship outcomes ranging from the possible use of alternate energy sources, change in the structure of output regarding fewer oil intensive sectors and the role of fiscal and monetary in the affected oil-exporting countries. These changes had drawn the attention of stakeholders, government and the society at large to the anecdotal relationship among oil price volatility, inflation, and output in Africa oil-exporting countries. This study leans empirical credence to the impact of oil price volatility on inflation and economic performance in the Africa oil-exporting countries from 1995 through 2017. We employed the Pool Mean Group estimation procedure with the inference drawn at a 5% level of significance. We found that oil price volatility had a negative and significant effect on inflation in Africa oil-exporting countries. The study concluded that oil price volatility had a substantial impact on inflation in the Africa oil-exporting countries. The study, therefore, recommended that Africa oil-exporting countries should adopt precautionary measures to monitor inflation potentials due to different responses of inflation to positive and negative oil price shocks.

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.

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