scholarly journals Debt Traps - A Risk Participative Loom for Reduction of Default Risk using Numeric Game Theory

Collaboration modeled as risk participation tends to reduce default risk and measures achievement within volatility parameters. This stimulates stakeholders to ensure regular repayment and build capability to create sustainable livelihoods for borrowers and profitable credit portfolios for lenders. This study attempts to create a working model of knowledge and education delivery system (Dr. Amartya Sen’s “Capability Maturity Model”) which not only analyzes credit default from a borrower’s perspective, but also seeks to mitigate a larger evil “SOCIAL EXCLUSION” (associated with loan default) that causes disequilibrium in poor tribal lives (Women). The model capitalizes associated variables using an analytical method to reduce default risks and applies the same to arrive at an equilibrium as per game theoretic approach. Using numerical analysis, the model seeks to identify risk dependency reductions in tribal Microfinance

1982 ◽  
Vol 55 (3) ◽  
pp. 367 ◽  
Author(s):  
Carl Alan Batlin ◽  
Susan Hinko

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Maya Diamant ◽  
Shoham Baruch ◽  
Eias Kassem ◽  
Khitam Muhsen ◽  
Dov Samet ◽  
...  

AbstractThe overuse of antibiotics is exacerbating the antibiotic resistance crisis. Since this problem is a classic common-goods dilemma, it naturally lends itself to a game-theoretic analysis. Hence, we designed a model wherein physicians weigh whether antibiotics should be prescribed, given that antibiotic usage depletes its future effectiveness. The physicians’ decisions rely on the probability of a bacterial infection before definitive laboratory results are available. We show that the physicians’ equilibrium decision rule of antibiotic prescription is not socially optimal. However, we prove that discretizing the information provided to physicians can mitigate the gap between their equilibrium decisions and the social optimum of antibiotic prescription. Despite this problem’s complexity, the effectiveness of the discretization solely depends on the type of information available to the physician to determine the nature of infection. This is demonstrated on theoretic distributions and a clinical dataset. Our results provide a game-theory based guide for optimal output of current and future decision support systems of antibiotic prescription.


2021 ◽  
pp. 127407
Author(s):  
Yuhan Bai ◽  
Kai Fan ◽  
Kuan Zhang ◽  
Xiaochun Cheng ◽  
Hui Li ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document