10 research outputs found
Mechanism Role of Investment Strategies for Investment Performance: Investigating the Impact of Personality Traits: A Case of Behavioral Finance
No full textPurpose: This study investigates the mechanism role of investment strategies in mediating the relationship between personality traits and investment performance within the behavioral finance framework. Drawing upon the Big Five personality models and established investment analysis approaches, this research examines how individual differences in personality characteristics influence investment strategy preferences and subsequent performance outcomes among individual investors.
Design/Methodology/Approach: Using a quantitative cross-sectional design, primary data were collected from 401 individual investors through an online survey instrument. The research employed validated personality measures, measuring neuroticism, extraversion, conscientiousness, openness to experience, and agreeableness. Investment strategies were operationalized through three distinct analytical approaches: fundamental analysis, technical analysis, and calendar analysis. Partial Least Squares Structural Equation Modeling (PLS-SEM) was utilized to test the proposed theoretical model.
Findings: The results reveal that personality traits significantly influence investment strategy preferences, which in turn affect investment performance outcomes.
Implications/Originality/Value The results reveal that personality traits significantly influence investment strategy preferences, which in turn affect investment performance outcomes
Behavioral Information Strategies and Financial Satisfaction: A Mediating Effect of Financial Opportunity
No full textPurpose: The purpose of this research is to examine the information processing strategies' influence on the financial satisfaction of investors. This research also investigates the mediating influence of financial opportunities.
Design/Methodology/Approach: The proposed model's relationship is examined using mixed methodology. Qualitative data is gathered by using in-depth interviews. While quantitative data is collected through questionnaires.
Findings: This study's results explain that financial opportunities significantly mediate the relationship. Further, information processing strategies have a significant influence on financial opportunities. This unique study contributed to the literature and developed a financial opportunity scale.
Implications/Originality/Value: This study suggested that understanding and knowledge of financial opportunities would help to increase the financial decisions of investors. This research also highlights implications and limitations to investors and practitioners
Investigating a Need for Cost sharing in higher Education in Pakistan
No full textThe strategy of cost-sharing is employed in many countries to share the burden of the cost of higher education. The cost is shared between the government, parents, students, and other organizations. The policy of cost-sharing is also employed in Pakistan as it is a developing country andthe majority of the students are unable to acquire higher education. Therefore, the government is required to give funds sufficiently to the needy and deserving because ultimately the country will be benefited from it. This research uses qualitative methods to unpack the problems that are faced by students. Some important flaws are highlighted, which can be taken into consideration to improve the systems of attaining higher education
How Behavioral Factors Influence Investment Performance of Individual Investors in Pakistan Stock Market: A Moderated Mediation Approach
No full textThe primary objective of study is to know the influence of behavioral factors on investor’s investment decision and investment performance. Four behavioral factors as herding, prospect factors and market factors are used in this study and financial literacy as a moderating variable among the behavioral factors and investment decision. We use the questionnaire to collect primary data from individual investors actually trading in Pakistan Stock Exchange. For data analysis, we utilize AMOS software and Hayes Process tool in two stages. The findings reveal that behavioral factors positively influence investment decision and investment performance. But there is no moderating role of financial literacy. In addition to these, individual investors and security organizations can ultimately take advantage from the results of this research as a guide for their analysis and forecasting of security market trends in order to maximize the outcome and to improve their investment efficiency. Further, study recommended investigation of all investor types and in all financial markets including the behaviors of institutional investors along with behavioral financial factors; we should consider some economic factors that could have an impact on investors' decisions
The impact of heuristics on investment decision and performance: Exploring multiple mediation mechanisms
No full textDataflow Implementation of QR Decomposition on a Manycore
No full textWhile parallel computer architectures have become mainstream, application development on them is still challenging. There is a need for new tools, languages and programming models. Additionally, there is a lack of knowledge about the performance of parallel approaches of basic but important operations, such as the QR decomposition of a matrix, on current commercial manycore architectures. This paper evaluates a high level dataflow language (CAL), a source-to-source compiler (Cal2Many) and three QR decomposition algorithms (Givens Rotations, Householder and Gram-Schmidt). The algorithms are implemented both in CAL and hand-optimized C languages, executed on Adapteva's Epiphany manycore architecture and evaluated with respect to performance, scalability and development effort. The performance of the CAL (generated C) implementations gets as good as 2\% slower than the hand-written versions. They require an average of 25\% fewer lines of source code without significantly increasing the binary size. Development effort is reduced and debugging is significantly simplified. The implementations executed on Epiphany cores outperform the GNU scientific library on the host ARM processor of the Parallella board by up to 30x. © 2016 Copyright held by the owner/author(s).ESCHERHiPE
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The effects of emotions, individual attitudes towards vaccination, and social endorsements on perceived fake news credibility and sharing motivations
No full textIn recent times, the spread of false or "fake" anti-vaccination news and information on social media has been linked to the global rise of vaccine hesitancy, resulting in increased vaccine-preventable disease outbreaks. As such, the current study employed the Heuristic Systematic Model (HSM) to elucidate the effect of certain cognitive heuristics on the perceived credibility and sharing motivations of fake anti-vaccination news on social media. The study used a 3 (emotion: anger vs. fear vs. neutral) x 3 (attitude: pro-vaccine vs. anti-vaccine vs. neutral) x 2 (social endorsements: low vs. high) between-subjects factorial design (N = 656). Two-way interaction effects were found between emotion and attitude on both perceived credibility of fake news and selfexpression motivation to share the news. A three-way interaction effect was also found between emotion, attitude, and social endorsements on status-seeking motivation to share the news. These findings reveal consistent evidence that fear motivates anti-vaccine individuals to believe in and share fake news, while anger motivates people who are neutral towards vaccines to do so. Theoretical and practical implications are discussed
The Components of Enterprise Risk Management and Financial Performance of the Non-Financial Firms through Mediation of Corporate Reputation
No full textPurpose: This research study aims to investigate the relationship between enterprise risk management (ERM) components and non-financial companies’ financial performance (FP), which are listed at PSX, while exploring the corporate reputation (CR) role as a mediation between ERM components and financial indicators performance.
Design/Methodology/Approach: This study used a questionnaire survey, and 340 responses were collected from non-financial sector firms’ board executives and top management. The PLS-SEM technique was employed for the data analysis using smart PLS 4.0 software.
Findings: the results showed that ERM components significantly influence the corporate reputation. Further, corporate reputation positively and significantly mediates between ERM components and financial performance. This study plays a crucial role in pinpointing and addressing risks within non-financial firms, aiming to enhance the prosperity of the non-financial sector and contribute to overall economic growth through the ERM components framework.
Implications/Originality/Value: Future research could extend to various sectors, encompassing financial and non-financial companies, service firms, and the food industry. Such studies could explore the influence of ERM components on financial performance, particularly emphasizing reputation as a critical resource for success in competitive markets
Telemedicine implementation and benefits for quality and patient safety in Pakistan
No full textTelemedicine is becoming an important aspect in developing countries to provide better health facilities. Rural areas in developing countries suffer due to lack of health facilities and face difficulties like time to reach health facilities at the faraway places, cost of reaching at a health care facility, and transportation needed to move around for the treatment/consulting purpose. Telemedicine could be used for safe and quality health by specialists at low cost in rural areas in Pakistan. Telemedicine services could be provided through video sharing, image sharing, mobile services or by e-mail. A research study was conducted to analyze the implementation and to explore the benefits of telemedicine in Pakistan. We distributed 150 questionnaires among teaching hospital doctors in city of Lahore, out of which we received 147 completed questionnaires. Three of the questionnaires were rejected due to incomplete information. The questionnaires were given to participants in the scheduled classes and collected at the end of class. Instructors were requested to allow students to complete questionnaires. The results showed 66.32% doctors of teaching hospital agreed to implement telemedicine for rural areas in Pakistan. 78.9% doctors agreed that telemedicine will save travelling time and money for availing expert opinion. However, 30.6% doctors agreed that Telemedicine will be beneficial for urban community – obtained the lowest score. The enhanced link between doctors and telemedicine can contribute to provide better health facilities in rural areas
Immobilization of Pseudomonas aeruginosa static biomass on eggshell powder for on-line preconcentration and determination of Cr (VI)
No full textIn the present work, a novel continuous flow system (CFS) is developed for the preconcentration and determination of Cr (VI) using Pseudomonas aeruginosa static biomass immobilized onto an effective and low-cost solid support of powdered eggshells. A mini glass column packed with the immobilized biosorbent is incorporated in a CFS for the preconcentration and determination of Cr (VI) from aqueous solutions. The method is based on preconcentration, washing and elution steps followed by colorimetric detection with 1,5-diphenyl carbazide in sulphuric acid. The effects of several variables such as pH, retention time, flow rate, eluent concentration and loaded volume are studied. Under optimal conditions, the CFS method has a linear range between 10 and 100 μg L-1 and a detection limit of 6.25 μg L-1 for the determination of Cr (VI). The sampling frequency is 10 samples per hour with a preconcentration time of 5 mins. Furthermore, after washing with a 0.1 M buffer (pH 3.0), the activity of the biosorbent is regenerated and remained comparable for more than 200 cycles. Scanning electron microscopy reveals a successful immobilization of biomass on eggshells powder and precipitation of Cr (VI) on the bacterial cell surface. The proposed method proves highly sensitive and could be suitable for the determination of Cr (VI) at an ultra-trace level
