none

碩士 === 國立成功大學 === 國際企業研究所碩博士班 === 92 ===   This study investigates stock price response to the announcement of 145 layoffs by American firms in public from 1996 to 2002. According previous studies, proactive or reactive layoff is the main factors to affect the outcome of layoff announcements. Althou...

Full description

Bibliographic Details
Main Authors: Chang-Chih Yeh, 葉昶志
Other Authors: Hsin-Hong Kang
Format: Others
Language:zh-TW
Online Access:http://ndltd.ncl.edu.tw/handle/27134008454262511607
id ndltd-TW-092NCKU5320010
record_format oai_dc
spelling ndltd-TW-092NCKU53200102016-06-17T04:16:56Z http://ndltd.ncl.edu.tw/handle/27134008454262511607 none 裁員宣告對股價之影響---以美國公司為例 Chang-Chih Yeh 葉昶志 碩士 國立成功大學 國際企業研究所碩博士班 92   This study investigates stock price response to the announcement of 145 layoffs by American firms in public from 1996 to 2002. According previous studies, proactive or reactive layoff is the main factors to affect the outcome of layoff announcements. Although the previous researches all indicate the reactive layoffs have negative impact, the proactive layoffs effect is still a dispute. And we never find any study discuss the trend of company stock return before announcement that may affect the outcome of proactive and reactive layoffs, so this study sets this new variable and examines it.   First, this study discusses the causes of layoffs then adopts event study with market model and regression analysis. The event study result reveals the effect of layoff announcements is significantly negative and sustains about two days before and after the announcing day. The new variable we set up is also significant and has trade-off relationship to the effect of proactive and reactive layoff announcements.   In the regression analysis, we establish different conditions to examine the layoff forms, information impacts and other variables that may affect the abnormal return of the announcements. The result indicates the scale of the layoff is the main factor that affects outcome of layoff announcements. The other information variables are significant in different conditions. Hsin-Hong Kang Shao-Chi Chang 康信鴻 張紹基 學位論文 ; thesis 69 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立成功大學 === 國際企業研究所碩博士班 === 92 ===   This study investigates stock price response to the announcement of 145 layoffs by American firms in public from 1996 to 2002. According previous studies, proactive or reactive layoff is the main factors to affect the outcome of layoff announcements. Although the previous researches all indicate the reactive layoffs have negative impact, the proactive layoffs effect is still a dispute. And we never find any study discuss the trend of company stock return before announcement that may affect the outcome of proactive and reactive layoffs, so this study sets this new variable and examines it.   First, this study discusses the causes of layoffs then adopts event study with market model and regression analysis. The event study result reveals the effect of layoff announcements is significantly negative and sustains about two days before and after the announcing day. The new variable we set up is also significant and has trade-off relationship to the effect of proactive and reactive layoff announcements.   In the regression analysis, we establish different conditions to examine the layoff forms, information impacts and other variables that may affect the abnormal return of the announcements. The result indicates the scale of the layoff is the main factor that affects outcome of layoff announcements. The other information variables are significant in different conditions.
author2 Hsin-Hong Kang
author_facet Hsin-Hong Kang
Chang-Chih Yeh
葉昶志
author Chang-Chih Yeh
葉昶志
spellingShingle Chang-Chih Yeh
葉昶志
none
author_sort Chang-Chih Yeh
title none
title_short none
title_full none
title_fullStr none
title_full_unstemmed none
title_sort none
url http://ndltd.ncl.edu.tw/handle/27134008454262511607
work_keys_str_mv AT changchihyeh none
AT yèchǎngzhì none
AT changchihyeh cáiyuánxuāngàoduìgǔjiàzhīyǐngxiǎngyǐměiguógōngsīwèilì
AT yèchǎngzhì cáiyuánxuāngàoduìgǔjiàzhīyǐngxiǎngyǐměiguógōngsīwèilì
_version_ 1718308302706704384