Influence of decision makers＇ characteristics on risk analysis in strategic investment decisions

This study empirically examines the influence of decision makers＇ （DMs） characteristics on risk analysis in strategic investment decisions （SIDs） of companies operating automotive industry in India. This study has developed and tested a structural model that linking select demographics, risk propensity and risk analysis in SIDs. The primary data were collected from Senior Finance Professionals （CFOs, GMs, VPs and so on） representing 36 listed automotive companies operating in India. Based on the responses collected from a single cross-sectional mailed survey, this study finds that risk propensity has a significant positive influence on the extent of usage of risk analysis in SIDs.

A kinetic description of the impact of agent competence and psychological factors on investment decision-making

The kinetic theory is employed to analyze influence of agent competence and psychological factors on investment decision-making.We assume that the wealth held by agents in the financial market is non-negative,and agents set their own investment strategies.The herding behavior is considered when analyzing the impact of an agent's psychological factors on investment decision-making.A nonlinear Boltzmann model containing herding behavior,agent competence and irrational behavior is employed to investigate investment decision-making.To characterize the agent's irrational behavior,we utilize a value function which includes current and ideal-investment decisions to describe the agent's irrational behavior.Employing the asymptotic procedure,we obtain the Fokker-Planck equation from the Boltzmann equation.Numerical results and the stationary solution of the obtained Fokker-Planck equation illustrate how herding behavior,agent competence,psychological factors,and irrational behavior affect investment decision-making,i.e.,herding behavior has both advantages and disadvantages for investment decision-making,and the agent's competence to invest helps the agent to increase income and to reduce loss.

Behavioral Finance Theory and Its Application in Investment Decision

Behavioral finance theory is constantly relaxing or even abandons traditional financial theory rational man assumptions and the efficient market hypothesis, based on the decision-making process to the actual person＇s psychological characteristics as variables studied financial market vision, such as asset pricing and portfolio a series of questions theoretical system. In this paper, from home and abroad on behavioral finance theory, based on the current situation in our country from the company＇s investment policy analysis behavioral finance theory in corporate finance in the application, in order for some of our corporate decision makers to provide a non-decision against the company fully rational and non-efficient market investment strategy.

IT Project Evaluation and Investment Decision

There are many kinds of real options,which are valuable,in each phase of the lifetime of an information technology(IT)project.However,in the current IT investment decision theory,real options that embedded in IT projects are not considered. In this paper, the process of IT project decision and implementation is fully analyzed, the real options that may be embedded in an IT project are identified, and a real option analysis (ROA) method is proposed for evaluation of an IT project under uncertain business environment. ROA employs Black-Scholes expansion model and cancels the assumption that the cost of project is certain. The numerical example manifests that the ROA can better evaluate IT project and select the IT investment alternative. Finally, a road map is provided to help selecting the suitable evaluation method to make IT investment decision.

Investment in deepwater oil and gas exploration projects:a multi-factor analysis with a real options model

Deepwater oil and gas projects embody high risks from geology and engineering aspects, which exert substantial influence on project valuation. But the uncer- tainties may be converted to additional value to the projects in the case of flexible management. Given the flexibility of project management, this paper extends the classical real options model to a multi-factor model which contains oil price, geology, and engineering uncertainties. It then gives an application example of the new model to evaluate deepwater oil and gas projects with a numerical analytical method. Compared with other methods and models, this multi-factor real options model contains more project information. It reflects the potential value deriving not only from oil price variation but also from geology and engi- neering uncertainties, which provides more accurate and reliable valuation information for decision makers.

A Dynamic Programming Algorithm on Project- Gang Investment Decision Making

The investment decision making of Project Gang, the projects that are associated with one another on economy and technique, is studied. In order to find out the best Scheme that can make the maximum profit, a dynamic programming algorithm on the investment decision making of Project Gang is brought forward, and this algorithm can find out the best Scheme of distributing the m resources to the n Items in the time of O(m 2 n).

A Multi-Attribute Decision Making for Investment Decision Based on D Numbers Methods

Investment decision is a traditional multi-attribute decision making (MADM) problem since it has many uncertainty factors and incomplete information such as investment value, cost, sales, etc. D numbers theory is a useful tool to deal with uncertainty factors and incomplete information. In this paper, interval number and D numbers theory are revealed in the uncertain factor and incomplete information of investment decision. The weights of uncertain factors are calculated using entropy weight method. Thus, a new MADM model for investment decision based on D numbers theory is proposed. Numerical example is used to illustrate the efficiency of the proposed method.

Stock Market Prediction Using Generative Adversarial Networks(GANs):Hybrid Intelligent Model

The key indication of a nation’s economic development and strength is the stock market.Inflation and economic expansion affect the volatility of the stock market.Given the multitude of factors,predicting stock prices is intrinsically challenging.Predicting the movement of stock price indexes is a difficult component of predicting financial time series.Accurately predicting the price movement of stocks can result in financial advantages for investors.Due to the complexity of stock market data,it is extremely challenging to create accurate forecasting models.Using machine learning and other algorithms to anticipate stock prices is an interesting area.The purpose of this article is to forecast stock market values to assist investors to make better informed and precise investing decisions.Statistics,Machine Learning(ML),Natural language processing(NLP),and sentiment analysis will be used to accomplish the study’s objectives.Using both qualitative and quantitative information,the study developed a hybrid model.The hybrid model has been handled with GANs.Based on the model’s predictions,a buy-or-sell trading strategy is offered.The conclusions of this study will assist investors in selecting the ideal choice while selling,holding,or buying shares.

Economic policy uncertainty and firms’investments in venture capital funds:Evidence from China

The latest business practice in the Chinese venture capital(VC)market involves the active participation of non-financial firms,as limited partners,in VC funds.Exploiting a unique hand-collected dataset from China,we find that economic policy uncertainty is positively related to the propensity of firms to participate in VC funds.Cross-sectional tests show that the positive effect of policy uncertainty on the likelihood of participating in VC funds is enhanced by industrial growth opportunities.Furthermore,economic consequence tests show that participating in VC funds is conducive to improving investment efficiency,increasing innovation performance and promoting product diversification.This study advances our understanding of firms’investment decisions and the VC industry development amid economic policy uncertainty.

Do M＆As Generate Value for Shareholders？ An Analysis of the Italian Banking Sector

The aim of this paper is to verify if the M＆As implemented in the past decade in the banking sector have created value for shareholders. For this purpose a sample of 72 deals carded out during the period of 1994-2005 were examined using the ＂event study＂ methodology. These deals were subdivided into three sections： acquisitions, mergers and M＆As. The results obtained seem to suggest a creation of value for the target companies and a destruction of value for the bidders in all three cases. From the analysis of the combined values, on the other hand, a significant destruction of value is deduced in both mergers and in M＆As.

The Long-Run Performance of IPOs in Italy： A Comparison of Venture and Non-Venture-Backed Companies

The phenomena associated with the performance of newly listed companies has increased the interest of many researchers who have developed a vast literature on long-term underpricing and underperformance, which together with hot and cold issue markets, represent the three anomalies that have always accompanied with Initial Public Offerings （IPOs）. The objective of this work is to investigate the long-run performance of IPOs of venture and non-venture-backed companies. The analysis of a sample of 102 IPOs carried out in Italy in 1998-2005 revealed that both companies （venture-backed and non-venture-backed） showed negative values, thus, confirming the phenomenon of underperformance. During the 36 months following their listing, venture-backed companies seemed to register negative and statistically significant values both with the CARsVB methodology （-93.99%） and the Buy and Hold Abnormal Returns methodology （BHARsVB -88.37%）. Venture-backed companies, unlike non- venture-backed companies, seem to be able to restrain the losses, measured by both methods, in the first 12 months （CARsB - 12.38% -20.15% CARSNNVB; BHARsVB - 10.17%; BHARsNVB - 15.51%）. During the 36 months, however, the IPOs showed negative and statistically significant values regardless of whether they were venture or non-venture-backed. The test on the difference between the average abnormal returns of the two methodologies （CAARS and BHAARs） did not produce statistically significant results. The Wealth Relative was calculated and from the results it would appear that the portfolio of venture-backed IPOs does not register ＂brilliant＂ performances. The portfolio of 102 IPOs does not seem to beat the ＂market portfolio＂. In conclusion, therefore, the phenomenon of underperformance seems to be real in our country and is documented by strongly negative and statistically significant values obtained from the samples of IPOs analyzed.

The Efficient Market Theory and Mergers and Acquisitions （M＆As） Puzzle： Evidence From Italy

The efficient market theory is a central point in finance. If the capital market is competitive, the investors cannot expect superior gains from their investment strategies with respect to the risk profile. Event studies are an approach to verify the impact of the information on the stock prices. In an efficient market, stock prices should fully, promptly, and quickly capture all the information. Instead, the market shows phenomena of an under-reaction and over-reaction for both the short and the long run. The mergers and acquisitions （M＆As） are examples of anomalies. Often, the bidder companies record the negative abnormal returns for both the short and the long run. In contrast to the efficient market theory, the empirical evidence shows that this phenomenon is widespread in all （or most of） the countries of the world. This work examines the long-run performance in M＆As. For this purpose, 40 bidders were observed in Italy during the period of 1994-2008 among listed companies. The buy and hold abnormal returns （BHARs） methodology was used, with which it was possible to observe the returns for three years following the deal.

The evolution of investments decision mode in China's telecommunication

This essay analyzes the data of Chinese telecommunication market, telecommunication investments and investment benefits over the past 20 years. On the basis of these data, the essay reviews Chinese changing telecommunication policies and discusses the major events in the course of China＇s telecommunication development. It is argued that telecommunication policies, regime backgrounds and market demand characteristics have a significant impact on investment decision mode in telecommunication industry. The evolution of network investments decision mode in China＇s telecommunication has corresponded to the transformation of these key factors. Considering the special events in the development of Chinese telecommunication as divisions, the essay discusses three stages of the evolution of investments decision mode in China＇s tel With the firm environment and problems that Chinese telecommunication operators have been facing since 2000 analyzed, it is demonstrated that Chinese telecommunication operators should change their mode of investment decision into the ＂profit-oriented investment decision mode＂ in order to achieve a high growth performance in the capital market,. This investment decision mode will result in increase of the investment profit with limited investment capital. The main procedure of profit-oriented investment decision mode is set out, which is abstracted to a mathematical model eventually.

Partial portfolio disclosure,investors’attention,and window dressing

I show that the disclosure of mutual funds’holdings significantly affects investors’investment decisions.As most mutual fund websites,advertisements,and fund-trading platforms only disclose a fund’s 10 largest holdings(top-10),this study finds that investors disproportionately focus on these stocks.However,this bias does not lead to additional profit because relative to their peers,funds with good top-10 performance tend to generate poor long-term returns.I design a clean and innovative discontinuity test between the performance of the 10th and 11th portfolio holdings to examine such window dressing behavior.I find that relative to their peers,funds that are small,new,and highly active are more likely to window dress and incur greater costs if they suffer from severe capital outflows.My findings suggest that partial disclosure misleads investors and allows effective window dressing.