Forecasting Value-at-Risk and Expected ShortfallUsing Range CARE Models

碩士 === 逢甲大學 === 統計與精算所 === 100 === This thesis considers the conditional autoregressive expectiles (CARE) with the intra-day high-low price range. Inference, quantile forecasting and model comparison for CARE is investigated. A Bayesian method to forecast Value-at-Risk (VaR) and Expected Shortfall (...

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Bibliographic Details
Main Authors: Chien-Yu Shen, 沈謙昱
Other Authors: none
Format: Others
Language:en_US
Published: 2012
Online Access:http://ndltd.ncl.edu.tw/handle/01029648902839367188