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A microcredit contract model with a Black Scholes model under default risk

机译:违约风险下具有布莱克斯科尔斯模型的小额信贷合同模型

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Microfinance has emerged as a new promise for alleviating poverty and improving the limited access to financial services by offering small loans, with no pledged collateral requirement, to the poor. Due to the unique features of microfinance, the credit-relationship between the lender and the borrower is considered to be the foundation of the business. Based on the concept of supply chain microfinance, this paper develops scenario-based stochastic microcredit contract models for a group case. In order to obtain a minimum interest rate, a Black-Scholes debt model estimates volatility directly from market observable returns on a borrower's equity. Next, incorporating the minimum interest rate, the stochastic microcredit models are developed to calculate a proper interest rate, while maintaining the financial sustainability of a corporation. The stochastic microcredit models also include financial statement analysis through financial ratios to reflect the microfinance business environment. Through the comparison of the effect of cash flow bullwhip, this study illustrates that the proposed model has the potential to decrease the bullwhip effect. By determining a proper interest rate in microcredit, the proposed models could be used by microfinance institutions as an effective credit risk tool.
机译:通过向穷人提供无抵押担保的小额贷款,小额信贷已成为减轻贫困和改善有限的获得金融服务机会的新希望。由于小额信贷的独特特征,贷方与借方之间的信用关系被认为是业务的基础。基于供应链小额信贷的概念,本文针对群体案例开发了基于场景的随机小额信贷合同模型。为了获得最低利率,Black-Scholes债务模型直接根据借款人权益的市场可观察回报估算波动率。接下来,结合最低利率,开发随机小额信贷模型以计算适当的利率,同时保持公司的财务可持续性。随机小额信贷模型还包括通过财务比率分析财务报表,以反映小额信贷业务环境。通过对现金流量牛鞭效应的比较,该研究表明所提出的模型具有降低牛鞭效应的潜力。通过确定小额信贷的适当利率,建议的模型可以被小额信贷机构用作有效的信用风险工具。

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