2014•Asian Journal of Research in Business Economics and ManagementRequires access

The Presentation of a Model Based on MADM to Rate the Strategies in Confronting Financial Risks

Davod Behniamehr, Kardgar Ebrahim

Open publisher page 0 citations

Abstract

Decisions on investment plans are usually made on the basis of the amount of managers’ and stakeholders’ profitability, risk, and risk taking. Risks are inevitable; but the competitive rules make the firms and organizations take a closer look at risk management strategy and this way, increase their operational efficiency and competitive advantage. Effective risk management can improve decision making. In this article, the overall framework of risk management in financial systems was investigated; then, using MADM technique, the problem was modeled and rated using risk management strategies. The statistical population of this research was made up of financial and senior managers; since their number was 24 people, the sample was chosen the same as the population; in other words, head count has been used due to the few number of the sample. The research results showed that rating led to the categorization of the strategies which were separated from each other accurately.

About this research paper

What this paper is about

Decisions on investment plans are usually made on the basis of the amount of managers’ and stakeholders’ profitability, risk, and risk taking. Risks are inevitable; but the competitive rules make the firms and organizations take a closer look at risk management strategy and this way, increase their operational efficiency and competitive advantage. Effective risk management can improve decision making. In this article, the overall framework of risk management in financial systems was investigated; then, using MADM technique, the problem was modeled and rated using risk management strategies. The statistical population of this research was made up of financial and senior managers; since their number was 24 people, the sample was chosen the same as the population; in other words, head count has been used due to the few number of the sample. The research results showed that rating led to the categorization of the strategies which were separated from each other accurately.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Decisions on investment plans are usually made on the basis of the amount of managers’ and stakeholders’ profitability, risk, and risk taking. Risks are inevitable; but the competitive rules make the firms and organizations take a closer look at risk management strategy and this way, increase their operational efficiency and competitive advantage. Effective risk management can improve decision making. In this article, the overall framework of risk management in financial systems was investigated; then, using MADM technique, the problem was modeled and rated using risk management strategies. The statistical population of this research was made up of financial and senior managers; since their number was 24 people, the sample was chosen the same as the population; in other words, head count has been used due to the few number of the sample. The research results showed that rating led to the categorization of the strategies which were separated from each other accurately.

Key concepts: Profitability index, Sample (material), Risk management, Competitive advantage, Actuarial science, Financial risk, Population, Statistical population

Related papers

Back to paper searchBrowse research topicsOriginal source
The Presentation of a Model Based on MADM to Rate the Strategies in Confronting Financial Risks — Research Paper | ScholarLens