Endogenous Inverse Demand Functions

Author:

Bichuch Maxim1ORCID,Feinstein Zachary2ORCID

Affiliation:

1. Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, Maryland 21218;

2. School of Business, Stevens Institute of Technology, Hoboken, New Jersey 07030

Abstract

Endogenous Inverse Demand Functions Buying or selling assets in a financial market impacts the prices upward or downward. Quantifying these price impacts is fundamental to many problems within finance (e.g., optimal liquidation and systemic risk). In “Endogenous Inverse Demand Functions,” Bichuch and Feinstein construct an equilibrium risk sharing problem that results in an endogenous inverse demand function. This is taken in contrast to the often assumed exogenous linear or exponential forms for the inverse demand functions. The authors determine sufficient joint properties for the financial market and assets to replicate these common exogenous forms. The properties of the general endogenous inverse demand functions, found via the equilibrium risk sharing problem, are investigated; the authors deduce that price cross-impacts, which are often assumed to be zero, naturally arise in this equilibrium setting.

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Subject

Management Science and Operations Research,Computer Science Applications

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Modeling Inverse Demand Function with Explainable Dual Neural Networks;4th ACM International Conference on AI in Finance;2023-11-25

2. Assessing and mitigating fire sales risk under partial information;Journal of Banking & Finance;2023-10

3. Bank solvency stress tests with fire sales;Journal of Financial Stability;2023-08

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