Empirical tail risk management with model-based annealing random search
Tail risk measures such as Value at Risk (VaR) and Conditional Value at Risk (CVaR) are popularly accepted criteria for financial risk management, but are usually difficult to optimize. Especially for VaR, it generally leads to a non-convex NP-hard problem which is computationally challenging. In th...
Saved in:
Main Authors: | Fan, Qi, Tan, Ken Seng, Zhang, Jinggong |
---|---|
Other Authors: | Nanyang Business School |
Format: | Article |
Language: | English |
Published: |
2023
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/169130 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
TERES: Tail Event Risk Expectile Shortfall
by: MIHOCI, Andrija, et al.
Published: (2020) -
Tail risk hedging: The search for cheap options
by: NEO, Poh Ling, et al.
Published: (2023) -
An empirical model for predicting hydraulic conductivity of mine tailings
by: Adajar, Mary Ann Q., et al.
Published: (2014) -
TAIL RISK IN THE US REITS MARKET
by: SONG JEONGSEOP
Published: (2021) -
Measuring tail risks
by: Chen, K, et al.
Published: (2023)