R&D Intensive Firm's Excess Return Are Risk Premium: The Test of Distance to Default.

碩士 === 輔仁大學 === 會計學系碩士班 === 98 === This study is aimed at examining the relationship between R&D expenditure and excess returns. Following Lev and Sougiannis (1999), this study capitalizes R&D expenditure and uses distance to default to divide the samples into two groups: subsample with shor...

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Main Authors: Kuo, Chun-Hsien, 郭俊賢
Other Authors: Dr. Fan, Hung-Shu
Format: Others
Language:zh-TW
Published: 2010
Online Access:http://ndltd.ncl.edu.tw/handle/08742828922624090374
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spelling ndltd-TW-098FJU003850392015-10-13T18:25:29Z http://ndltd.ncl.edu.tw/handle/08742828922624090374 R&D Intensive Firm's Excess Return Are Risk Premium: The Test of Distance to Default. 以違約距離測試研發密集公司剩餘報酬是否為風險溢酬? Kuo, Chun-Hsien 郭俊賢 碩士 輔仁大學 會計學系碩士班 98 This study is aimed at examining the relationship between R&D expenditure and excess returns. Following Lev and Sougiannis (1999), this study capitalizes R&D expenditure and uses distance to default to divide the samples into two groups: subsample with short distance to default (i.e. high risk subsample) and subsample with long distance to default (i.e. low risk subsample). This study predicts that the R&D assets of subsample with short distance to default can explain subsequent stock returns better than that of subsample with long distance to default. The empirical findings of this study are as follows: 1. the R&D assets to market value variable can explain subsequent stock return; 2. for R&D intensive firms, the R&D assets to market value variable subsumes the book to market variable to explain subsequent stock return; 3. the R&D assets to market value variable for subsample with short distance to default can explain subsequent stock return better than that for subsample with long distance to default; 4. the R&D assets are significantly negative-associated with distance to default. Dr. Fan, Hung-Shu 范宏書 2010 學位論文 ; thesis 61 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 輔仁大學 === 會計學系碩士班 === 98 === This study is aimed at examining the relationship between R&D expenditure and excess returns. Following Lev and Sougiannis (1999), this study capitalizes R&D expenditure and uses distance to default to divide the samples into two groups: subsample with short distance to default (i.e. high risk subsample) and subsample with long distance to default (i.e. low risk subsample). This study predicts that the R&D assets of subsample with short distance to default can explain subsequent stock returns better than that of subsample with long distance to default. The empirical findings of this study are as follows: 1. the R&D assets to market value variable can explain subsequent stock return; 2. for R&D intensive firms, the R&D assets to market value variable subsumes the book to market variable to explain subsequent stock return; 3. the R&D assets to market value variable for subsample with short distance to default can explain subsequent stock return better than that for subsample with long distance to default; 4. the R&D assets are significantly negative-associated with distance to default.
author2 Dr. Fan, Hung-Shu
author_facet Dr. Fan, Hung-Shu
Kuo, Chun-Hsien
郭俊賢
author Kuo, Chun-Hsien
郭俊賢
spellingShingle Kuo, Chun-Hsien
郭俊賢
R&D Intensive Firm's Excess Return Are Risk Premium: The Test of Distance to Default.
author_sort Kuo, Chun-Hsien
title R&D Intensive Firm's Excess Return Are Risk Premium: The Test of Distance to Default.
title_short R&D Intensive Firm's Excess Return Are Risk Premium: The Test of Distance to Default.
title_full R&D Intensive Firm's Excess Return Are Risk Premium: The Test of Distance to Default.
title_fullStr R&D Intensive Firm's Excess Return Are Risk Premium: The Test of Distance to Default.
title_full_unstemmed R&D Intensive Firm's Excess Return Are Risk Premium: The Test of Distance to Default.
title_sort r&d intensive firm's excess return are risk premium: the test of distance to default.
publishDate 2010
url http://ndltd.ncl.edu.tw/handle/08742828922624090374
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