Portfolio optimization with VaR approach : a comparative analysis for Japan, London, New York and India
Year of publication: |
2020
|
---|---|
Authors: | Bhatia, Parul ; Gupta, Priya |
Published in: |
Theoretical and applied economics : GAER review. - Bucureşti : AGER, ISSN 1841-8678, ZDB-ID 2640970-7. - Vol. 27.2020, 4/625, p. 245-262
|
Subject: | Value-at-Risk (VaR) | simulation model | variance-covariance matrix | Monte Carlo simulation | GARCH approach | Simulation | Japan | Portfolio-Management | Portfolio selection | Risikomaß | Risk measure | ARCH-Modell | ARCH model | Monte-Carlo-Simulation | Indien | India | New York | London | VAR-Modell | VAR model | Schätztheorie | Estimation theory |
-
Realized quantity extended conditional autoregressive value-at-risk models
Götz, Pit, (2023)
-
Score driven exponentially weighted moving average and value-at-risk forecasting
Lucas, André, (2014)
-
Nguyen Quang Thinh, (2017)
- More ...
-
An empirical investigation of N-11 countries as successors of BRICS using panel data modeling
Gupta, Priya, (2021)
-
Causal nexus across stock market indices of India-USA-China post-Asian financial crisis
Gupta, Priya, (2020)
-
An empirical investigation of N-11 countries as successors of BRICS using panel data modeling
Gupta, Priya, (2022)
- More ...