Application Extreme Value Theory and long-Memory to Stock Market in Iran (In Framework Model-GARCH)
During last decades, financial markets have witnessed large losses due to their exposure to unexpected market crash. Resulting in these financial disasters, financial institutions, regulators and academics have developed intensive research to provide better measurement techniques and hedging tools....
Main Authors: | Hassan Karnameh haghighi, Ali Rostami |
---|---|
Format: | Article |
Language: | fas |
Published: |
University of Isfahan
2018-12-01
|
Series: | Journal of Asset Management and Financing |
Subjects: | |
Online Access: | https://amf.ui.ac.ir/article_23282_596e923c6b897276e225913211120daa.pdf |
Similar Items
-
Estimating Conditional Value at Risk in the Tehran Stock Exchange Based on the Extreme Value Theory Using GARCH Models
by: Hamed Tabasi, et al.
Published: (2019-05-01) -
Forecasting gains by using extreme value theory with realised GARCH filter
by: Samit Paul, et al.
Published: (2021-03-01) -
Extreme Value Theory and Value at Risk:
Application to OPEC Market
by: mahtab mehrasa, et al.
Published: (2019-06-01) -
Modeling Contagion of Financial Markets: A GARCH-EVT Copula Approach
by: Gueï Cyrille Okou, et al.
Published: (2023-07-01) -
The Efficiency of GARCH Models in Realizing Value at Risk Estimates
by: Tomáš JEŘÁBEK
Published: (2020-04-01)