Predicting agents’ investment behavior using game theory and bankruptcy problem
عنوان مقاله: Predicting agents’ investment behavior using game theory and bankruptcy problem
شناسه ملی مقاله: JR_IJNAA-15-2_011
منتشر شده در در سال 1403
شناسه ملی مقاله: JR_IJNAA-15-2_011
منتشر شده در در سال 1403
مشخصات نویسندگان مقاله:
Fatemeh Babaei - Department of Mathematics and Computer Science, Shahed University, Tehran, Iran
Hamidreza Navidi - Department of Mathematics and Computer Science, Shahed University, Tehran, Iran
خلاصه مقاله:
Fatemeh Babaei - Department of Mathematics and Computer Science, Shahed University, Tehran, Iran
Hamidreza Navidi - Department of Mathematics and Computer Science, Shahed University, Tehran, Iran
This study considers two agents, risk-neutral and risk-averse ones, and studies their investment behavior. There are two investment options-safe investments such as a bank account and a risky investment in a company. The company runs a risky project. In the case of success, its return is more than the bank’s, and that is less in the case of failure. When the project fails, the company divides the left amount among the investors based on the proportional bankruptcy rule. We model the problem as a strategic game and explore its Nash equilibrium.
کلمات کلیدی: Investment game, Bankruptcy problem, game theory, Risk-neutral, Risk-averse
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1901282/