Investment Decisions
Recently Published Documents





Economies ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 187
Batool Muhammad Hussain ◽  
Umair Baig ◽  
Vida Davidaviciene ◽  
Ieva Meidute-Kavaliauskiene

This study endeavors to be cognizant of the investment paradigm of women entrepreneurs and reveal their ambitions, professionalism, and desire to form a robust framework in the context of economic development. These persistent attributes of women entrepreneurs for economic development persuaded us to investigate factors that influence women’s attitude to make a long-term investment decision in their business regardless of uncertainty. This study adopted a deductive approach and assessed data using the PLS-SEM technique through Smart PLS 3.3.3. Around 330 adequate responses from Karachi and Lahore using a self-designed structured questionnaire revealed that women’s investment attitude has a positive significant mediating effect on social, behavioral factors, and investment decisions. Whereas, women’s investment attitude did not depict a positive significant mediating effect on personal factors and investment decisions. It was quite interesting to know that uncertainty did not reveal a significant moderating effect between investment attitude and investment decision. The study highlights measures suggested empowering women entrepreneurs who strive to enhance their performance and achieve sustainable development goals without being discouraged by society. Moreover, focusing risk-taking attributes to set an example for those who do not come forth. The novelty of the study in the context of women entrepreneur’s investment attitude well contributes to the existing literature and recommends future scholars to expand the horizon of the existing area of the study in the context of cultural, demographic, and seasonal factors, which are also affecting women entrepreneur’s investment decisions.

2021 ◽  
Vol 4 (2) ◽  
pp. 207-221
Rini Dwiyani Hadiwidjaja ◽  
Arianto Muditomo ◽  
Yanuar Trisnowati

An initial public offering (IPO) refers to the process of offering shares of a private corporation to the public in a new stock issuance. An IPO allows a company to raise capital from public investors. This study aims to prove the sectoral impact of the Covid-19 pandemic in Indonesia. Qualitative identification through content analysis on public online media and report documents on the results of analysis by research institutes and consultants identifies potential negative impacts on several industrial sectors as a result of the Covid-19 pandemic throughout 2020, but on the other hand, IPO action on the Indonesian capital market in 2020 still ongoing. Previous research has not been found specifically that analyzes the relationship between the impact of Covid-19 on industry and the performance of IPO actions per industrial sector, then through the IPO under-pricing phenomenon approach, empirical evidence is carried out. This research uses secondary data for the initial returns of 315 companies that conducted IPO actions during the period 2010 to 2020 on the Indonesian capital market and testing using a paired sample test on the population of IPO actions before and during the Covid-19 pandemic, the results of this study indicate that simultaneously in all the corporate sector did not find any statistically significant difference in initial returns between the period before and during the pandemic. This shows that the Covid-19 pandemic does not directly impact the behavior of capital market investors, especially in making investment decisions in the primary market.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Shilpi Gupta ◽  
Monica Shrivastava

PurposeThe study aims to understand the impact of loss aversion and herding on investment decision of retail investors. The study further evaluates the mediating role of fear of missing out (FOMO) in retail investors on these relationships.Design/methodology/approachThe study employed questionnaire survey to collect data from retail investors of Indian stock market. Total 323 data were collected. The collected data were examined using SmartPLS. Factor analysis and partial least square structural equation modeling were employed for fulfilling the objectives of the study.FindingsThe results of the study revealed that investment decisions of retail investors are significantly influenced by loss aversion, herd behavior as well as FOMO. Assessing the impact of herd behavior and loss aversion on investment decision in presence and absence of FOMO exposed that FOMO partially mediates these relations. The mediation was complementary in nature as the presence of FOMO increased the influence of loss aversion and herd behavior on retail investor's investment decisions.Practical implicationsBehavioral predispositions are accountable for numerous irregularities in stock markets. Thus, it is quite substantial to realize the stimulus of these partialities on investment decisions. The outcomes of this study would help financial planners and investors to keep in mind the different ways their decision outcomes could be biased and try to ignore them.Originality/valueThough there have been many studies conducted on behavioral biases and their impact on investment decisions, there are very few studies that have taken into account the FOMO factor in investment, in context of the behavioral biases. Theoretically, FOMO has been linked with herd behavior and greed of earning more, but there are very few empirical supports to this fact. Thus, this study is an attempt to fill this gap by examining the role of FOMO on investment decisions and the different biases associated with it.

2021 ◽  
Vol 21 (1) ◽  
Lytske Bakker ◽  
Jos Aarts ◽  
Carin Uyl-de Groot ◽  
Ken Redekop

Abstract Background Much has been invested in big data and artificial intelligence-based solutions for healthcare. However, few applications have been implemented in clinical practice. Early economic evaluations can help to improve decision-making by developers of analytics underlying these solutions aiming to increase the likelihood of successful implementation, but recommendations about their use are lacking. The aim of this study was to develop and apply a framework that positions best practice methods for economic evaluations alongside development of analytics, thereby enabling developers to identify barriers to success and to select analytics worth further investments. Methods The framework was developed using literature, recommendations for economic evaluations and by applying the framework to use cases (chronic lymphocytic leukaemia (CLL), intensive care, diabetes). First, the feasibility of developing clinically relevant analytics was assessed and critical barriers to successful development and implementation identified. Economic evaluations were then used to determine critical thresholds and guide investment decisions. Results When using the framework to assist decision-making of developers of analytics, continuing development was not always feasible or worthwhile. Developing analytics for progressive CLL and diabetes was clinically relevant but not feasible with the data available. Alternatively, developing analytics for newly diagnosed CLL patients was feasible but continuing development was not considered worthwhile because the high drug costs made it economically unattractive for potential users. Alternatively, in the intensive care unit, analytics reduced mortality and per-patient costs when used to identify infections (− 0.5%, − €886) and to improve patient-ventilator interaction (− 3%, − €264). Both analytics have the potential to save money but the potential benefits of analytics that identify infections strongly depend on infection rate; a higher rate implies greater cost-savings. Conclusions We present a framework that stimulates efficiency of development of analytics for big data and artificial intelligence-based solutions by selecting those applications of analytics for which development is feasible and worthwhile. For these applications, results from early economic evaluations can be used to guide investment decisions and identify critical requirements.

2021 ◽  
Vol 6 (2) ◽  
Livia Della Ramandhanty ◽  
Alfiyatul Qomariyah S.Ak., M.BA., Ph.D., ◽  
Fatih Andesita Wuri Bemby

This research aims to examine the related effects of financial literacy and risk attitudes towards investor behavior in the Indonesian capital market with the motive of saving as a mediating variable. This study uses a quantitative approach and partial least squares- structural equation modelling (PLS-SEM) to test hypotheses. The research data was obtained from 110 questionnaires distributed to capital market investors in Indonesia using the purposive sampling method. The results of this study indicate that financial literacy, risk attitude and saving motives have positive and significant effects on investor behavior in the Indonesian capital market. The influence of financial literacy and risk attitude also has a positive and significant effect on saving motives. However, the motive for saving money cannot mediate the effect of financial literacy and risk attitude on investor behavior. Theoretically, the implications of the results of this study are the level of financial literacy, risk attitude, and saving motives can directly influence investor behavior. The higher the financial literacy, the better the attitude in facing investment risk and the greater the motive for saving, the better the investor's behavior in making investment decisions. Whereas in practical terms, this implication is used as input for investors to further increase financial literacy, pay attention to the level of risk of selected investments, and enlarge the motives for saving so that the purpose of investing can be achieved well.

Bismark Singh ◽  
Oliver Rehberg ◽  
Theresa Groß ◽  
Maximilian Hoffmann ◽  
Leander Kotzur ◽  

AbstractWe present an algorithm to solve capacity extension problems that frequently occur in energy system optimization models. Such models describe a system where certain components can be installed to reduce future costs and achieve carbon reduction goals; however, the choice of these components requires the solution of a computationally expensive combinatorial problem. In our proposed algorithm, we solve a sequence of linear programs that serve to tighten a budget—the maximum amount we are willing to spend towards reducing overall costs. Our proposal finds application in the general setting where optional investment decisions provide an enhanced portfolio over the original setting that maintains feasibility. We present computational results on two model classes, and demonstrate computational savings up to 96% on certain instances.

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Yan Chen ◽  
Fan Si ◽  
Xiying Lu ◽  
Xin Li

This paper presents a regression analysis by using the system generalized method of moments (SYS-GMM) model as the main regression model and combining it with the fixed effect of panel data and acquires the basic empirical research data from Wind database. The research shows that the speed of cross-industrial-chain investment can improve the innovation ability of AI enterprises, and AI enterprises with deep technology accumulation can improve their innovation performance in the rapid across-industrial-chain investment. In this paper, an across-industrial-chain investment decision path model for AI enterprises is proposed for the first time, suggesting that AI enterprises should pay attention to the related factors of industry and AI enterprises when making across-industrial-chain investment decisions. This helps to express the determination of investment, integration, and reconstruction to the target AI enterprises, and it can also facilitate fast across-industrial-chain investment and improve the innovation performance of AI enterprises.

2021 ◽  
Vol 11 (1) ◽  
Kristian Rotaru ◽  
Petko S. Kalev ◽  
Nitin Yadav ◽  
Peter Bossaerts

AbstractWe consider Theory of Mind (ToM), the ability to correctly predict the intentions of others. To an important degree, good ToM function requires abstraction from one’s own particular circumstances. Here, we posit that such abstraction can be transferred successfully to other, non-social contexts. We consider the disposition effect, which is a pervasive cognitive bias whereby investors, including professionals, improperly take their personal trading history into account when deciding on investments. We design an intervention policy whereby we attempt to transfer good ToM function, subconsciously, to personal investment decisions. In a within-subject repeated-intervention laboratory experiment, we record how the disposition effect is reduced by a very significant 85%, but only for those with high scores on the social-cognitive dimension of ToM function. No such transfer is observed in subjects who score well only on the social-perceptual dimension of ToM function. Our findings open up a promising way to exploit cognitive talent in one domain in order to alleviate cognitive deficiencies elsewhere.

2021 ◽  
Vol 10 (4) ◽  
pp. 247-258
Nike Ardila ◽  
Nur Aida Arifah Tara ◽  
Burhanudin Burhanudin

This study aims to examine the effect of investment and funding decisions on firm value with profitability as a mediating variable in companies included in the LQ45 index for the 2015-2019 period. The results on the t test show that the positive investment decision is not significant to profitability. The funding decision is negative and not significant to profitability. Investment decisions are positive and significant to firm value while negative funding decisions are not significant to firm value. Profitability is positive and significant to firm value. The results of the mediation test show that profitability is not able to mediate the effect of investment decisions and funding decisions on firm value.Keywords:Keputusan Investasi, Keputusan Pendanaan, Profitabilitas, Nilai Perusahaan

Sign in / Sign up

Export Citation Format

Share Document