scholarly journals Investor Sentiment and Herding Behavior in the Korean Stock Market

2020 ◽  
Vol 8 (2) ◽  
pp. 34
Author(s):  
Ki-Hong Choi ◽  
Seong-Min Yoon
Keyword(s):  
Stock Market ◽  
Quantile Regression ◽  
Stock Markets ◽  
Trading Volume ◽  
Investor Sentiment ◽  
Herding Behavior ◽  
Absolute Deviation ◽  
Cross Sectional ◽  
Korean Stock Market ◽  
Quantile Regression Method

This paper investigates herding behavior and the connection between herding behavior and investor sentiment. We apply a Cross-Sectional Absolute Deviation (CSAD) approach and the quantile regression method to capture herding behavior in the KOSPI and KOSDAQ stock markets. The analysis results are outlined as follows. First, we find that herding behavior is exhibited during down-market periods in the KOSPI and KOSDAQ stock markets. However, we show that adverse herding behavior occurs in low-trading volume and low-volatility periods. Second, according to the results of the quantile regression, herding behavior is found in the low and high quantiles of the KOSPI and KOSDAQ stock markets. However, adverse herding behavior is also found, which means that investors herd in extreme market conditions. Third, the relationship between investor sentiment and herding behavior is analyzed through regression and quantile regression, and investor sentiment is confirmed to be one of the important factors that can cause herding behavior in the Korean stock market.

Herd behavior in the French stock market

2017 ◽  
Vol 16 (4) ◽  
pp. 497-515 ◽  
Author(s):  
Houda Litimi
Keyword(s):  
Stock Market ◽  
Trading Volume ◽  
Design Methodology ◽  
Garch Model ◽  
Herd Behavior ◽  
Conditional Volatility ◽  
Herding Behavior ◽  
Absolute Deviation ◽  
Cross Sectional ◽  
Content Type

Purpose This paper aims to investigate the herding behavior in the French stock market and its effect on the idiosyncratic conditional volatility at a sectoral level. Design/methodology/approach This sample covers all the listed companies in the French stock market, classified by sector, over four major crisis periods. The author modifies the cross-sectional absolute deviation (CSAD) model to include trading volume and investors sentiment as herding triggers. Furthermore, the author uses a modified GARCH model to investigate the effect of herding on conditional volatility. Findings Herding is present in the French market during crises, and it is present in only some sectors during the entire period. The main trigger for investors to embark into a collective herding movement differs from one sector to another. Furthermore, herding behavior has an inhibiting effect on market conditional volatility. Originality/value The author modifies the CSAD model to investigate the presence of herding in the French stock market at a sectoral level during turmoil periods. Furthermore, the particularly designed GARCH model provides new insights on the effect of herding and volume turnover on the conditional volatility.

Cross-herding behavior between the stock market and the crude oil market during financial distress

2018 ◽  
Vol 44 (4) ◽  
pp. 439-458 ◽  
Author(s):  
Houda BenMabrouk
Keyword(s):  
Stock Market ◽  
Crude Oil ◽  
Investor Sentiment ◽  
Market Volatility ◽  
Herding Behavior ◽  
Absolute Deviation ◽  
Cross Sectional ◽  
Content Type ◽  
Oil Market ◽  
The Cross

Purpose The purpose of this paper is to investigate herding behavior around the crude oil market and the stock market and the possible cross-herding behavior between the two markets. The analysis examines also the herding behavior during financial turmoil and includes the investor sentiment and market volatility. Design/methodology/approach The authors use a modified version of the cross-sectional standard deviation and the cross-sectional absolute deviation to include investor sentiment, financial crisis and market volatility. Findings The authors find that the volatility of the stock market reduces the herding behavior around the oil market and boosts that around the stock market. However, the investors’ sentiment reduces the herding around the stock market and boosts that around the crude oil market. Consequently, the authors can conclude that the herding behavior around the two markets moves inversely and the herding in each market is enhanced by the lack of information in the other market. Research limitations/implications This paper is limited to the herding of stocks around the crude oil market and ignores the possible herding of commodities around the oil market. Originality/value The originality of the paper rests on the study of the possible cross-herding behavior between the oil market and the stock market especially during financial turmoil.

Herding behavior in Islamic GCC stock market: a daily analysis

2018 ◽  
Vol 11 (2) ◽  
pp. 182-193 ◽  
Author(s):  
Mustapha Chaffai ◽  
Imed Medhioub
Keyword(s):  
Stock Market ◽  
Quantile Regression ◽  
Financial Markets ◽  
Stock Returns ◽  
Stock Markets ◽  
Content Type ◽  
Quantile Regression Analysis ◽  
Herd Behaviour ◽  
The Impact ◽  
Quantile Regression Method

Purpose This paper aims to examine the presence of herd behaviour in the Islamic Gulf Cooperation Council (GCC) stock markets following the methodology given by Chiang and Zheng (2010). Generalized auto regressive conditional heteroskedasticity (GARCH)-type models and quantile regression analysis are used and applied to daily data ranging from 3 January 2010 to 28 July 2016. Results show evidence of herd behaviour in the GCC stock markets. When the data are divided into down and up market periods, herd information is found to be statistically significant and negative during upward market periods only. These results are similar to those reported in some emerging markets such as China, Japan and Hong Kong, where stock returns perform more similarly during down market periods and differently during rising markets. Design/methodology/approach The authors present a brief literature on herd behaviour. Second, the authors provide some specificity of the GCC Islamic stock market, followed by the presentation of the methodology and the data, results and their interpretation. Findings The authors take into account the difference existing in market conditions and find evidence of herding behaviour during rising markets only for GCC markets. This result was confirmed after using the quantile regression method, as evidence of herding was observed only in highly extreme periods. Stock returns perform more similarly when market is down in Islamic GCC stock market. Research limitations/implications The research limitation consists in the fact that this work can be extended to compare the GCC stock markets with other markets in Asia such as Malaysia and Indonesia. Practical implications The principal implication consists in the fact that herding behaviour is limited in the GCC markets and Islamic finance can have an important contribution to moderate the behaviour in the financial markets. Social implications The work focusses on the role of ethics in the financial markets and their ability to reduce the impact of behavioural biases. Originality/value The paper studies the behaviour of investors in the Islamic financial markets and gives an idea about the importance of the behaviour in this particular market regarding its characteristics.

scholarly journals ANALISIS DESKRIPTIF HERDING PADA JAKARTA ISLAMIC INDEX

2020 ◽  
Vol 7 (3) ◽  
pp. 576
Author(s):  
Hazar Ihza Fauziah ◽  
Sylva Alif Rusmita
Keyword(s):  
Quantile Regression ◽  
Investment Decisions ◽  
Investor Behavior ◽  
Herding Behavior ◽  
Absolute Deviation ◽  
Cross Sectional ◽  
Economic Fundamentals ◽  
Market Portfolio ◽  
The Relationship

Herding is irrational investor behavior, because investors do not make investment decisions based on economic fundamentals, but based on other investors in the same condition, or following market consensus. Herding is measured by looking at the relationship between return market portfolio and Cross-Sectional Absolute Deviation (CSAD). This study used quantile regression to measure herding behavior. The result shows that there is no indication of herding behavior in JII, which means that investors tend to behave rationally in making investment decisions. Keywords: CSAD, Herding Behavior, Quantile Regression

scholarly journals Investor Behavior: Does Tax Avoidance and Liquidity Preference Culture Drive Equity Prices in Pakistan

2020 ◽  
Vol 2 (2) ◽  
pp. 63-91
Author(s):  
Rubeena Tashfeen ◽  
Saad Ullah ◽  
Abubaker Naeem
Keyword(s):  
Stock Market ◽  
Stock Markets ◽  
Stock Exchange ◽  
Tax Avoidance ◽  
Geographical Distance ◽  
Chinese Stock Market ◽  
Absolute Deviation ◽  
Cross Sectional ◽  
Cross Border ◽  
The Usa

The present study investigates market-wide herding of stock market, industry indices of Pakistan, China and USA, A-cross border herding of Pakistan stock market with Chinese stock market and USA stock market. With Cross-Sectional-Absolute-Deviation, to check whether geographical distance matters to influence the stock markets or not and USA is its major influential, cannot be ignored. Market-wide herding in Pakistan is found only during 2004 and 2008 and A-cross border herding for Pakistan is only found from the USA which support asset pricing model and market efficiency. Pakistan market do not herd around China, this negates geographical distance matters, and influence in determining investor behaviour in stock markets. It is revealed, Pakistan stock market does not observe as much herding behaviour in stock investment as other markets (USA and China), so it can be said that Pakistan stock exchange index which is representative of Pakistan Stock market is efficiently operating in contest of Herding.

scholarly journals Herding behavior and stock market conditions

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Abdollah Ah Mand ◽  
Hawati Janor ◽  
Ruzita Abdul Rahim ◽  
Tamat Sarmidi
Keyword(s):  
Stock Market ◽  
Global Financial Crisis ◽  
Emerging Market ◽  
Developed Countries ◽  
Herding Behavior ◽  
Market Conditions ◽  
Absolute Deviation ◽  
Cross Sectional ◽  
Content Type ◽  
Market Return

Purpose The purpose of this paper is to investigate whether market conditions have an effect on investors’ propensity to herd in an emerging economy’s stock market. Additionally, given the lack of research on Islamic behavioral finance, the authors further investigate if the herding phenomenon is distinct in Islamic versus conventional stocks. Design/methodology/approach The authors used daily data for the period of 1995–2016 according to the herding behavior model of Chang et al. (2000), which relies on cross-sectional absolute deviation of returns. Findings Findings reveal the herding behavior of investors among Shariah-compliant during up and down market exits with non-linear relationship to the market return, while for conventional stocks herding behavior does not exist with linear nor nonlinear relationships during the up and down market. Furthermore, for the whole market, herding behavior only exists during upmarket with a nonlinear relationship to the market return. However, this relationship is not significant. Moreover, the results of this study are robust with respect to the effect of the Asian and global financial crisis. Practical implications The findings are useful for investors to identify which market conditions are associated with rational and irrational behavior of investors. Originality/value Most of the theoretical and empirical studies on herding behavior have focused on developed countries. Only a few studies have paid attention to the herding behavior in Islamic financial markets, particularly in the context of an emerging market such as Malaysia. This study fills this void.

scholarly journals Investor Sentiment and the Basis of CSI 300 Stock Index Futures: An Empirical Study Based on QVAR Model and Quantile Regression

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Chen Liu ◽  
Yi An
Keyword(s):  
Stock Market ◽  
Quantile Regression ◽  
Capital Market ◽  
Mutual Influence ◽  
Investor Sentiment ◽  
Stock Index ◽  
Stock Index Futures ◽  
Short Sales ◽  
Index Futures ◽  
Quantile Regression Method

The asymmetrical mutual influence of investor sentiment and the basis of CSI 300 stock index futures under conditions in different market situations was investigated using the quantile vector autoregressive model (QVAR). The article also discussed asymmetrical influence of investor sentiment on the basis under conditions in different investor structures using the quantile regression method. On this basis, we obtained several important conclusions: (1) There exists a one-way causal relationship where investor sentiment has a significant impact on the CSI 300 stock index futures basis in China; the investor sentiment is likely to exert stronger influences on the basis in the chaotic period of the stock market and imposes significant asymmetrical effects. (2) The institutionalized development of investors can reduce the influences of investor sentiment on the basis when the stock market is stable, while it does not play its function in stabilizing the capital market when the stock market is in turmoil. (3) The low institutionalization level, the individualization of institutional investors, and the imperfect short-sales mechanism as a whole are still the sticking problems in the immature capital market of China.

scholarly journals Article Herding Behaviour: Empirical Analysis of Pakistan, China, USA Stock Market

2020 ◽  
Vol 2 (2) ◽  
pp. 1-1
Author(s):  
Syed Ali Arslan ◽  
Rukhsana Bibi ◽  
Attiya Yasmin Javid
Keyword(s):  
Stock Market ◽  
Stock Markets ◽  
Jel Classification ◽  
Investor Behavior ◽  
Geographical Distance ◽  
Chinese Stock Market ◽  
Absolute Deviation ◽  
Cross Sectional ◽  
Stock Investment ◽  
The Usa

The present study investigates market-wide herding of the stock market industry indices of Pakistan, China, and the USA, and cross-border herding of Pakistan stock market with the Chinese stock market and USA stock market. With Cross-Sectional-Absolute-Deviation, this study checks whether geographical distance matters in influencing the stock markets or not and if the USA is it's major influential and cannot be ignored. Market-wide herding in Pakistan is found only during 2004 and 2008, and across border herding for Pakistan is only found from the USA, which supports the asset pricing model and market efficiency hypotheses. Pakistan market does not herd around China- this negates that geographical distance matters and influences in determining investor behavior in stock markets. It is also revealed that the Pakistan stock market does not observe as much herding behavior in stock investment as other markets (such as the USA and China), so it can be said that the Pakistan Stock market is efficiently operating in the context of herding. JEL Classification: G02, G11, G14, G1

scholarly journals HERDING BEHAVIOR IN THE INDONESIAN ISLAMIC STOCK MARKET

2019 ◽  
Vol 5 (3) ◽  
pp. 673-690 ◽  
Author(s):  
Nora Amelda Rizal ◽  
Mirta Kartika Damayanti
Keyword(s):  
Stock Market ◽  
Stock Return ◽  
Stock Exchange ◽  
Stock Index ◽  
Market Condition ◽  
Herding Behavior ◽  
Absolute Deviation ◽  
Cross Sectional ◽  
Market Prices ◽  
Auto Regressive

Indonesia Stock Exchange provides Islamic stocks for Muslim investors who want toinvest, with the first Islamic stock index in Indonesia being Jakarta Islamic Index or JIIthat consists of thirty of the most liquid Islamic stocks. The market capitalization of JIItends to increase every year. This paper examines the presence of herding behavior inemerging Islamic stock market of Indonesia using daily return of Indonesia CompositeIndex and JII from October 6, 2000 to October 5, 2018. Herding behavior could generallytrigger shifting market prices from equilibrium values. Herding behavior may beidentified from the relation between stock return dispersion and market return. Stockreturn dispersion is measured using Cross Sectional Absolute Deviation or CSAD.Generalized Auto Regressive Conditional Heteroskedasticity or GARCH method isused to detect herding behavior. GARCH does not see heteroskedasticity as a problem,instead uses it to make a model. The result indicates that herding behavior exist inIslamic stock market of Indonesia. Asymmetric herding occurs in Indonesia Islamicstock market where herding behavior exists during falling market condition only.

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