A Study on Regional Financial Risks Based on CoCVaR Model
For the purpose of accurate measurement of regional systemic financial risks and prevention of regional economic turmoil, this paper proposes a new measure called the CoCVaR model, based on the tail mean loss, which is applied to measure the impact of stock returns of each listed company on the over...
Saved in:
Main Authors: | Mingxin Li, Jun Tang |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-01-01
|
Series: | Discrete Dynamics in Nature and Society |
Online Access: | http://dx.doi.org/10.1155/2021/2050169 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Forecasting of CVaR based on intraday trading in Tehran ETFs: The approach of heterogeneous autoregression models
by: Shiva Hallaji, et al.
Published: (2024-12-01) -
An Infeasible Incremental Bundle Method for Nonsmooth Optimization Problem Based on CVaR Portfolio
by: Jia-Tong Li, et al.
Published: (2021-01-01) -
Study on Single Cycle Production Allocation and Supply Strategy for DCEs Based on the CVaR Criterion
by: Leiyan Xu, et al.
Published: (2018-01-01) -
Risk Preferences of EV Fleet Aggregators in Day-Ahead Market Bidding: Mean-CVaR Linear Programming Model
by: Izabela Zoltowska
Published: (2024-12-01) -
A hybrid stochastic-interval Mean–CVaR model for the wind-storage system offering strategy under uncertainties
by: Ziang Wang, et al.
Published: (2025-04-01)