Value-at-Risk Analysis of Shipping Freight Indices with the Long Memory Volatility Process

博士 === 國立臺灣海洋大學 === 航運管理學系 === 103 === This study aims to apply Value-at-Risk (VaR) models to evaluate the risk of dry bulk shipping freight indices, tanker shipping freight indices, and container shipping freight indices, when there is a long memory volatility process. Assuming that investors in th...

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Bibliographic Details
Main Authors: Chang, Chao-Chi, 張超琦
Other Authors: Chou, Heng-Chih
Format: Others
Language:en_US
Published: 2015
Online Access:http://ndltd.ncl.edu.tw/handle/km4277