Index-Exciting CAViaR: A New Empirical Time-Varying Risk Model

• Main Authors: Dashan HUANG, YU, Baimin, LU, Zudi, FOCARDI, Sergio, FABOZZI, Frank, FUKUSHIMA, Masao
• 格式: text
• 語言: English
• 出版: Institutional Knowledge at Singapore Management University 2010
• 主題: CAViaR; Index-exciting CAViaR; Quantile regression; Time-varying model; VaR; Finance and Financial Management; Management Sciences and Quantitative Methods
• 在線閱讀: https://ink.library.smu.edu.sg/lkcsb_research/4781; https://ink.library.smu.edu.sg/context/lkcsb_research/article/5780/viewcontent/HuangD_IndexExcitingCaviar_PubVer.pdf

Instead of assuming the distribution of return series, Engle and Manganelli (2004) propose a new Value-at-Risk (VaR) modeling approach, Conditional Autoregressive Value-at-Risk (CAViaR), to directly compute the quantile of an individual asset's returns which performs better in many cases than t...