Herding or reverse herding: the reaction to change in investor sentiment in the Chinese and Pakistani markets

放牧 市场情绪 金融经济学 经济 羊群行为 索引(排版) 反向的 中国 金融市场 业务 货币经济学 财务 地理 林业 万维网 考古 计算机科学
作者
Muhammad Fayyaz Sheikh,Aamir Inam Bhutta,Tahira Parveen
出处
期刊:International Journal of Emerging Markets [Emerald (MCB UP)]
被引量:3
标识
DOI:10.1108/ijoem-02-2022-0270
摘要

Purpose Investor sentiment (optimism or pessimism) may influence investors to follow others (herding) while taking their investment decisions. Herding may result in bubbles and crashes in the financial markets. The purpose of the study is to examine the presence of herding and the effects of investor sentiment on herding in China and Pakistan. Design/methodology/approach The investor sentiment is captured by five variables (trading volume, advance/decline ratio, weighted price-to-earnings ratio, relative strength index and interest rates) and a sentiment index developed through principal component analysis (PCA). The study uses daily prices of 2,184 firms from China and 568 firms from Pakistan for the period 2005 to 2018. Findings The study finds that herding prevails in China while reverse herding prevails in Pakistan. Interestingly, as investors become optimistic, herding in China and reverse herding in Pakistan decrease. This indicates that herding and reverse herding are greater during pessimistic periods. Further, the increase in herding in one market reduces herding in the other market. Moreover, optimistic sentiment in the Chinese market increases herding in the Pakistani market but the reverse is not true. Practical implications Considering the greater global financial liberalization, and better opportunities for emotion sharing, this study has important implications for regulators and investors. Market participants need to understand the prevalent irrational behavior before trading in the markets. Originality/value Since individual proxies may depict different picture of the relationship between sentiment and herding therefore the study also develops a sentiment index through PCA and incorporates this index in the analysis. Further, this study examines cross-country effects of herding and investor sentiment.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
田様应助依妍采纳,获得80
刚刚
zhangsen发布了新的文献求助10
刚刚
1秒前
1秒前
xdl120318完成签到,获得积分20
1秒前
1秒前
王永明发布了新的文献求助10
2秒前
动听锦程完成签到,获得积分20
3秒前
搜集达人应助糊涂的剑采纳,获得10
3秒前
Owen应助iiiicecream采纳,获得10
3秒前
4秒前
星007完成签到,获得积分10
5秒前
5秒前
少年完成签到 ,获得积分10
6秒前
ffcongee发布了新的文献求助20
7秒前
南烟完成签到,获得积分10
7秒前
啊是电饭锅完成签到,获得积分10
7秒前
隐形曼青应助ff采纳,获得10
8秒前
8秒前
脑洞疼应助单纯白梦采纳,获得10
9秒前
灵泽完成签到,获得积分20
9秒前
赘婿应助醉熏的以云采纳,获得10
11秒前
12秒前
嗒嗒嗒薇发布了新的文献求助10
12秒前
13秒前
lbx发布了新的文献求助10
13秒前
13秒前
打打应助袁大头采纳,获得10
13秒前
14秒前
heasfdoi关注了科研通微信公众号
15秒前
KID发布了新的文献求助10
15秒前
ms完成签到,获得积分20
15秒前
李健应助傻傻的芷巧采纳,获得10
15秒前
乐乐应助刘兄采纳,获得10
15秒前
15秒前
SYLH应助小叙采纳,获得10
15秒前
16秒前
健忘的迎夏关注了科研通微信公众号
16秒前
宇智波达发布了新的文献求助50
16秒前
17秒前
高分求助中
Continuum Thermodynamics and Material Modelling 4000
Production Logging: Theoretical and Interpretive Elements 2700
Les Mantodea de Guyane Insecta, Polyneoptera 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
El viaje de una vida: Memorias de María Lecea 800
Novel synthetic routes for multiple bond formation between Si, Ge, and Sn and the d- and p-block elements 700
Neuromuscular and Electrodiagnostic Medicine Board Review 700
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3515049
求助须知:如何正确求助?哪些是违规求助? 3097391
关于积分的说明 9235300
捐赠科研通 2792358
什么是DOI,文献DOI怎么找? 1532422
邀请新用户注册赠送积分活动 712063
科研通“疑难数据库(出版商)”最低求助积分说明 707107