Risk modeling of financing structure according to probabilistic decision theory through ANP

Subject Areas : Financial engineering

Hamidreza Iravani ¹ , Hamidreza Kordlouie ² , Freydoon Rahnamay Roodposhti ³ , Narges Yazdanian ⁴

1 - Department of Accounting and Management, Rudehen Branch, Islamic Azad University, Rudehen, Iran
2 - Department of Financial Manangement, Islamshahr Branch, Islamic Azad University, Islamshahr, Iran and member of Modern Financial Risk Research Group
3 - Department of Business Manangement, Science and Research Branch, Islamic Azad University, Tehran, Iran
4 - Department of Accounting and Management, Rudehen Branch, Islamic Azad University, Rudehen, Iran

Received: 2020-09-04 Accepted : 2020-10-10 Published : 2021-06-22

Keywords: Liquidity Risk, financing structure, competition risk, probabilistic decision theory, money market,

Abstract :

Different types of risks threaten financial and credit institutions. Therefore, managers of organizations must identify and manage the existing risks. The risk that directly affects the profitability of financial and credit institutions is called financial risk. Financial risks include: balance sheet structure risks, income and profitability structure, capital adequacy, credit risk, liquidity risk, interest rate risk, market risk and exchange rate risk. Banking industry is one of the most sifnificant and critical section of economics which faces many sorts of risk. Financial structur risk is the most threating one that in case of non centrolling will lead to bankruptcy . the purpose of study is modeling risk in compaliance with finance structure in money market based of probabilistic decition theory. The populational of the research is experts and bank fanciancial statements after reviewing the literature all the aspects of risks and also financial ratios are being identifined. After gathering data ANP techinques are being app;ied . resuls show that the srquence of risks are, market , credit, liquidity, capital. The significance of risks are as follow: credit, capital, liquidity, income disturbution, market and systematic.