Herding and Style Investing in Volatile Market
碩士 === 國立中央大學 === 財務金融研究所 === 97 === To detect investors'' herd behavior under extreme market condutions, I decompose the cross-sectional variance based on the market risk, size and BM using both the daily and monthly frequency. The results support the rational asset pricing model, which i...
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | en_US |
Published: |
2009
|
Online Access: | http://ndltd.ncl.edu.tw/handle/13136895014571664324 |
id |
ndltd-TW-097NCU05304005 |
---|---|
record_format |
oai_dc |
spelling |
ndltd-TW-097NCU053040052016-05-02T04:10:57Z http://ndltd.ncl.edu.tw/handle/13136895014571664324 Herding and Style Investing in Volatile Market 市場極端波動之從眾行為與風格投資 Chiuyu Pan 潘秋羽 碩士 國立中央大學 財務金融研究所 97 To detect investors'' herd behavior under extreme market condutions, I decompose the cross-sectional variance based on the market risk, size and BM using both the daily and monthly frequency. The results support the rational asset pricing model, which implies there are higher dispersions when the market is volatile for its higher sensitive toward its benchmark value. However, by ranking all the market conditions from the extremely down market to the extremely up market, this thesis identified a unique U-shaped curve for cross-sectional dispersion measure. Different from previous studies, after considering the January seasonality and the market turnover ratio, I find that herding is stronger for stocks within small size portfolio and high BM portfolio in January, which leads to the higher comovement of equity returns with groups. Besides, the lower level of past market turnover can predict the higher degree of herd behavior in following period. Pin-Huang Chou 周賓凰 2009 學位論文 ; thesis 54 en_US |
collection |
NDLTD |
language |
en_US |
format |
Others
|
sources |
NDLTD |
description |
碩士 === 國立中央大學 === 財務金融研究所 === 97 === To detect investors'' herd behavior under extreme market condutions, I decompose the cross-sectional variance based on the market risk, size and BM using both the daily and monthly frequency. The results support the rational asset pricing model, which implies there are higher dispersions when the market is volatile for its higher sensitive toward its benchmark value. However, by ranking all the market conditions from the extremely down market to the extremely up market, this thesis identified a unique U-shaped curve for cross-sectional dispersion measure. Different from previous studies, after considering the January seasonality and the market turnover ratio, I find that herding is stronger for stocks within small size portfolio and high BM portfolio in January, which leads to the higher comovement of equity returns with groups. Besides, the lower level of past market turnover can predict the higher degree of herd behavior in following period.
|
author2 |
Pin-Huang Chou |
author_facet |
Pin-Huang Chou Chiuyu Pan 潘秋羽 |
author |
Chiuyu Pan 潘秋羽 |
spellingShingle |
Chiuyu Pan 潘秋羽 Herding and Style Investing in Volatile Market |
author_sort |
Chiuyu Pan |
title |
Herding and Style Investing in Volatile Market |
title_short |
Herding and Style Investing in Volatile Market |
title_full |
Herding and Style Investing in Volatile Market |
title_fullStr |
Herding and Style Investing in Volatile Market |
title_full_unstemmed |
Herding and Style Investing in Volatile Market |
title_sort |
herding and style investing in volatile market |
publishDate |
2009 |
url |
http://ndltd.ncl.edu.tw/handle/13136895014571664324 |
work_keys_str_mv |
AT chiuyupan herdingandstyleinvestinginvolatilemarket AT pānqiūyǔ herdingandstyleinvestinginvolatilemarket AT chiuyupan shìchǎngjíduānbōdòngzhīcóngzhòngxíngwèiyǔfēnggétóuzī AT pānqiūyǔ shìchǎngjíduānbōdòngzhīcóngzhòngxíngwèiyǔfēnggétóuzī |
_version_ |
1718252829178593280 |