2006Management Sciences in ChinaRequires access

Decision-making Approach to Loan Portfolio Based on Monte Carlo Simulation

Liu Ying-zong

Open publisher page 1 citations

Abstract

The return of project is usually directly proportional to risk.The banks hope to maximize the portfolio return and minimize the portfolio risk,but the commercial loan can′t optimize the return and risk together.Return and risk is measured by IRR and VAR based on Monte Carlo simulation;a multi-objective decision-making model for optimization of loan portfolio was established.Solving the model step by step,some efficient portfolio was gained and the efficient frontier curve was simulated.Optimal loan′s portfolio satisfying the bank′s risk preference can be solved from the intersectional graphic position of indifference curve and efficient frontier curve.The approach directly uses portfolio return and risk to optimize the loan portfolio,so that the precision of risk decision-making can be improved.Banks can adjust the weights of projects at will to improve the return,diminish the risk and gain the optimal loan portfolio.

About this research paper

What this paper is about

The return of project is usually directly proportional to risk.The banks hope to maximize the portfolio return and minimize the portfolio risk,but the commercial loan can′t optimize the return and risk together.Return and risk is measured by IRR and VAR based on Monte Carlo simulation;a multi-objective decision-making model for optimization of loan portfolio was established.Solving the model step by step,some efficient portfolio was gained and the efficient frontier curve was simulated.Optimal loan′s portfolio satisfying the bank′s risk preference can be solved from the intersectional graphic position of indifference curve and efficient frontier curve.The approach directly uses portfolio return and risk to optimize the loan portfolio,so that the precision of risk decision-making can be improved.Banks can adjust the weights of projects at will to improve the return,diminish the risk and gain the optimal loan portfolio.

Why it matters

OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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

The return of project is usually directly proportional to risk.The banks hope to maximize the portfolio return and minimize the portfolio risk,but the commercial loan can′t optimize the return and risk together.Return and risk is measured by IRR and VAR based on Monte Carlo simulation;a multi-objective decision-making model for optimization of loan portfolio was established.Solving the model step by step,some efficient portfolio was gained and the efficient frontier curve was simulated.Optimal loan′s portfolio satisfying the bank′s risk preference can be solved from the intersectional graphic position of indifference curve and efficient frontier curve.The approach directly uses portfolio return and risk to optimize the loan portfolio,so that the precision of risk decision-making can be improved.Banks can adjust the weights of projects at will to improve the return,diminish the risk and gain the optimal loan portfolio.

Key concepts: Portfolio optimization, Efficient frontier, Portfolio, Rate of return on a portfolio, Monte Carlo method, Computer science, Loan, Modern portfolio theory

Related papers

Back to paper searchBrowse research topicsOriginal source
Decision-making Approach to Loan Portfolio Based on Monte Carlo Simulation — Research Paper | ScholarLens