On the Validity of Volatility Prediction using Financial Lexicon Features

碩士 === 國立交通大學 === 統計學研究所 === 106 === The thesis utilize the financial lexicon and text information in Form 10-k to predict the post-event volatility after the release date of Form 10-k. We also propose some methods in feature selection and transformation to imporove the prediction accuracy. Furthurm...

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Bibliographic Details
Main Authors: Liu, Yang-Ling, 劉彥伶
Other Authors: Chu-Lan Kao
Format: Others
Language:zh-TW
Published: 2018
Online Access:http://ndltd.ncl.edu.tw/handle/587py2
Description
Summary:碩士 === 國立交通大學 === 統計學研究所 === 106 === The thesis utilize the financial lexicon and text information in Form 10-k to predict the post-event volatility after the release date of Form 10-k. We also propose some methods in feature selection and transformation to imporove the prediction accuracy. Furthurmore, we examine the prediction capability of the selected text features by introducing GARCH.