International Equity Portfolio Investment Decision and Intellectual Capital Information

2009 ◽  
Author(s):  
Jun Yao ◽  
Ulf Johnson ◽  
Chitoshi Koga
Keyword(s):  
Intellectual Capital ◽  
Investment Decision ◽  
Portfolio Investment ◽  
International Equity

scholarly journals Identification of information needs in intellectual capital: exploratory study on the Tunisian financial market

2016 ◽  
Vol 13 (3) ◽  
pp. 179-186
Author(s):  
Jihene Ferchichi ◽  
Robert Paturel
Keyword(s):  
Financial Market ◽  
Intellectual Capital ◽  
Delphi Method ◽  
Exploratory Study ◽  
Information Needs ◽  
Investment Decision ◽  
Investment Decisions ◽  
Research Show

In an economy concretized by the broadening notion of the intellectual capital and its increasing role in investment decisions, it seems appropriate to conceive the intellectual capital by measuring its perception by 22 Tunisian financial professionals. Therefore, the aim of this work consists firstly to enable a better understanding of the intellectual capital of the Tunisian financial market. Secondly, by adopting the Delphi method, we determined the information needs and expectations consensus in terms of intellectual capital. The results of this research show that the concept of intellectual capital appears well known by the financial actors Tunisians. Besides this research, revealed new aspects of intellectual capital .The Tunisian investors consider these dimensions as important criteria that support making their investment decision.

scholarly journals AHP–TOPSIS Methodology for Stock Portfolio Investments

Risks ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 4
Author(s):  
Jaime Alberto Vásquez ◽  
John Willmer Escobar ◽  
Diego Fernando Manotas
Keyword(s):  
Stock Market ◽  
Investment Decision ◽  
Decision Making Process ◽  
Portfolio Investment ◽  
Computational Results ◽  
Qualitative And Quantitative ◽  
Investment Decision Making ◽  
Investment Process ◽  
Stock Portfolio ◽  
Portfolio Investments

This paper presents a methodology for making decisions in the stock market using the AHP-TOPSIS multi-criteria technique. The problem is related to the stock market’s investment process considering the criteria of liquidity, risk, and profitability. The proposed methodology includes integrating economic and financial theories of investment in equity portfolios with the AHP-TOPSIS multi-criteria technique, which allows for evaluating a finite number of alternatives hierarchically under qualitative and quantitative criteria. The methodology has been tested in a real case of selecting a portfolio of high and medium marketability stocks for the Colombian market from April 2012 to April 2017. The computational results show the importance and efficiency of successfully integrating traditional equity portfolio investment criteria and multi-criteria methodologies to find an appropriate balance between profitability and risk in the investment decision-making process in shares in the Colombian stock market. The proposed methodology could be applied to other emerging markets, similar to Colombia.

Decision Based on Fuzzy Multi-Objective Programming Method of High-Tech Investment Portfolio

2011 ◽  
Vol 474-476 ◽  
pp. 1961-1965
Author(s):  
Ting Wang ◽  
Li Feng Li
Keyword(s):  
Investment Decision ◽  
Programming Method ◽  
High Tech ◽  
Portfolio Investment ◽  
Risk Minimization ◽  
Investment Portfolio ◽  
Multi Objective ◽  
Multi Objective Programming ◽  
Objective Programming ◽  
The One

The expected rate of earnings and risk of high-tech projects are very fuzzy, and investors hope to get the expected rate of earnings maximization and risk minimization. Therefore, this paper establishes the model of fuzzy multi-objective programming method to select an optimal portfolio scheme. On the one hand, the objectives risk can be scattered, on the other hand investors can get ideal earnings. The example shows that this method to solve problems of portfolio investment decision is feasible and effective.

scholarly journals Application of Algorithms of Constrained Fuzzy Models in Economic Management

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Lingyan Meng ◽  
Dishi Zhu
Keyword(s):  
Decision Making ◽  
Investment Decision ◽  
Optimal Investment ◽  
Portfolio Performance ◽  
Portfolio Investment ◽  
Investment Strategies ◽  
Economic Management ◽  
Expected Return ◽  
Investment Decision Making ◽  
Human Thinking

Stochasticity and ambiguity are two aspects of uncertainty in economic problems. In the case of investments in risky assets, this uncertainty is manifested in the uncertainty of future returns. On the contrary, the complexity of the economic phenomenon itself and the ambiguity inherent in human thinking and judgment are characterized by indistinct boundaries. For the same problem, research from different perspectives can often provide us with more comprehensive and systematic information. Currently, the expected value of return or the variance representing risk is still used as a rational investment criterion for both single-stage portfolios and multistage portfolios. However, in general, the greater the expected return of an investor, the greater the risk he should take. Different investors have different requirements for profitability, but regardless of their expected return, they always hope to find a set of portfolios that maximize the probability of achieving the expected rate of return. In this paper, after analyzing the development of portfolio investment theory research, we take fuzzy information processing as the entry point and systematically discuss the theory and methods of fuzzy modeling of portfolio investment decision-making from the perspective of fuzziness around the portfolio investment decision-making process. The results of the empirical analysis show that the existence of basis constraints affects investors’ investment strategies as well as their final returns, but there is a limit to the influence of basis constraints on portfolio performance, and investors can obtain optimal investment returns by selecting a reasonable number of securities to form a portfolio based on the characteristics of different securities.

scholarly journals Formation of the Investment Portfolio on the Basis of Adaptive-Discrete Model, Considering Globalization Effects

2019 ◽  
Vol 8 (6S2) ◽  
pp. 1107-1111
Keyword(s):  
Investment Decision ◽  
Investment Model ◽  
Portfolio Investment ◽  
Investment Portfolio ◽  
Significant Preference ◽  
Joint Influence ◽  
Adaptive Regression ◽  
Adaptive Adjustment ◽  
Discrete Nature ◽  
Investment Models

The need to reflect the effects of globalization in portfolio investment models is currently beyond doubt. The problem is that these effects are of both continuous and discrete nature. To reflect their joint influence on the investment decision, it is proposed to use an adaptive regression modeling device. The versatility of the adaptive adjustment of the coefficients of econometric models provides the ability to reflect in the portfolio investment model discrete-continuous effects. Computational experiments with a model that implements the proposed approach to the formation of investment decisions in the context of globalization have shown a significant preference for the resulting portfolio solutions compared to the classical ones.

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