Calculating Value-at-Risk for high-dimensional time series using a nonlinear random mapping model
Year of publication: |
December 2017
|
---|---|
Authors: | Zhang, Heng-Guo ; Su, Chi-Wei ; Song, Yan ; Qiu, Shuqi ; Xiao, Ran ; Su, Fei |
Published in: |
Economic modelling. - Amsterdam [u.a.] : Elsevier, ISSN 0264-9993, ZDB-ID 86824-3. - Vol. 67.2017, p. 355-367
|
Subject: | Extreme learning machine | High-dimensional space | Value-at-Risk | Random mapping | GARCH model | Time series | Zeitreihenanalyse | Time series analysis | Risikomaß | Risk measure | ARCH-Modell | ARCH model | Schätztheorie | Estimation theory |
-
Ardia, David, (2014)
-
Shams, Sedigheh, (2013)
-
Modeling CAC40 volatility using ultra-high frequency data
Degiannakis, Stavros, (2013)
- More ...
-
Is exchange rate stability beneficial for stabilizing consumer prices in China?
Su, Chi-Wei, (2016)
-
Can onshore spot market progress influence offshore N.D.F. market development for the C.N.Y?
Su, Chi-Wei, (2019)
-
Lin, Chiou-Shiu, (2021)
- More ...