An examination of the impact of country risk on the international portfolio selection decision

The authors integrate theory developed in several disciplines to determine five cognitive processes through which industrial buyers can develop trust of a supplier firm and its salesperson. These processes provide a theoretical framework used to identify antecedents of trust. The authors also examine the impact of supplier firm and salesperson trust on a buying firm's current supplier choice and future purchase intentions. The theoretical model is tested on data collected from more than 200 purchasing managers. The authors find that several variables influence the development of supplier firm and salesperson trust. Trust of the supplier firm and trust of the salesperson (operating indirectly through supplier firm trust) influence a buyer's anticipated future interaction with the supplier. However, after controlling for previous experience and supplier performance, neither trust of the selling firm nor its salesperson influence the current supplier selection decision.

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The impact of risk factors on the financial performance of the commercial banking sector in Barbados

Journal of Governance and Regulation ◽

10.22495/jgr_v7_i1_p6 ◽

2018 ◽

Vol 7 (1) ◽

pp. 76-93 ◽

Cited By ~ 1

Author(s):

Anthony Wood ◽

Shanise McConney

Keyword(s):

Risk Factors ◽

Credit Risk ◽

Financial Performance ◽

Banking Sector ◽

Negative Impact ◽

Interest Rate Risk ◽

Commercial Banking ◽

Country Risk ◽

Risk Variable ◽

The Impact

The objective of this paper is to determine the impact of risk factors on the financial performance of the commercial banking sector in Barbados using quarterly data for the period 2000 to 2015. The empirical results indicate that Capital Risk, Credit Risk, Liquidity Risk, Interest Rate Risk and Operational Risk have statistically significant impacts on financial performance. The only risk variable which does not derive this result is Country Risk. In addition, of those variables which proxy external factors, only GDP Growth has a statistically insignificant influence on financial performance. Credit risk exerted a negative impact on the banks’ financial performance, thus the banks must ensure they adopt appropriate measures to minimise the impact of this risk. Higher levels of capital impacted positively on the banking sector’s profitability. This paper is the first effort employing such an extensive dataset based on Barbados’ commercial banking sector and shows the main factors that influence commercial banks’ financial performance in this developing economy.

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A novel R&D project portfolio selection decision approach based on fuzzy logic and heuristics scheduling

2008 Chinese Control and Decision Conference ◽

10.1109/ccdc.2008.4597287 ◽

2008 ◽

Author(s):

Zhu Danmei ◽

Zhang Tie ◽

Wang Xingtong ◽

Chen Dongling

Keyword(s):

Fuzzy Logic ◽

Portfolio Selection ◽

Project Portfolio ◽

Project Portfolio Selection ◽

Selection Decision

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Uncertain Portfolio Selection with Borrowing Constraint and Background Risk

Mathematical Problems in Engineering ◽

10.1155/2020/1249829 ◽

2020 ◽

Vol 2020 ◽

pp. 1-13 ◽

Cited By ~ 1

Author(s):

Linjing Lv ◽

Bo Zhang ◽

Jin Peng ◽

Dan A. Ralescu

Keyword(s):

Portfolio Selection ◽

Programming Model ◽

Optimal Portfolio ◽

Uncertain Variables ◽

Subjective Beliefs ◽

Borrowing Constraint ◽

Optimal Portfolio Selection ◽

Selection Decision ◽

Factor Returns ◽

Portfolio Return

Due to the complexity of financial markets, there exist situations where security returns and background factor returns are available mainly based on experts’ subjective beliefs, such as in the case of lack of historical data. To deal with such indeterminate quantities, uncertain variables are introduced. Based on uncertainty theory, this paper discusses the distribution function of the optimal portfolio return. Two types of new uncertain programming models, namely, the chance-mean model and the measure-mean model, are proposed to make an optimal portfolio selection decision in an uncertain environment. It is proved that there exists an equivalent relation between the chance-mean model and a deterministic linear programming model, which leads to an approach to obtain the optimal solutions of the proposed models. Finally, some numerical examples are illustrated to show the modelling ideas and the effectiveness of the models.

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