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 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 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.

Herding and BRICS markets: a study of distribution tails

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Vijay Kumar Shrotryia ◽  
Himanshi Kalra
Keyword(s):  
Stock Market ◽  
Stock Markets ◽  
Chinese Stock Market ◽  
Content Type ◽  
Banking Policy ◽  
Time Period ◽  
The Usa ◽  
Data Points ◽  
The Masses ◽  
The Impact

PurposeThe present study looks into the mimicking behaviour in both normal and asymmetric scenarios. It, then, considers the contagion between the USA and the BRICS stock markets. Finally, it examines herd behaviour in the wake of a major banking policy change concerning the bloc under study.Design/methodology/approachThe current empirical analysis employs daily, weekly and monthly data points to estimate relevant herding parameters. Quantile regression specifications of Chang et al. (2000)'s dispersion method have been applied to detect herd activity. Also, dummy regression specifications have been used to examine the impact of various crises and strategically crucial events on the propensity to herd in the BRICS markets. The time period under consideration ranges from January 2011 until May 2019.FindingsThe relevant herding coefficients turn insignificant in most cases for normal and asymmetric scenarios except for China and South Africa. This can be traced to the anti-herding behaviour of investors, where individuals tend to diverge from the consensus. However, turbulence makes all stock markets to show some collective trading except Russia. Further, the Chinese stock market seems immune to the frictions in the US stock market. Finally, the Indian and South African markets witness significant herding during the formation of a common depository institution.Practical implicationsMost stock markets seem to herd during turbulence. This revelation is of strategic importance to the regulators and capital market managers. They have to be cautious during crises periods as the illusion of being secured with the masses ends up creating unprecedented frictions in the financial markets.Originality/valueThe present study seems to be the very first attempt to test the relevant distributions' tails for convergent behaviour in the BRICS markets.

scholarly journals An Empirical Analysis of the Volatility Spillover Effect between World-Leading and the Asian Stock Markets: Implications for Portfolio Management

2020 ◽  
Vol 13 (10) ◽  
pp. 226
Author(s):  
Imran Yousaf ◽  
Shoaib Ali ◽  
Wing-Keung Wong
Keyword(s):  
Financial Crisis ◽  
Stock Market ◽  
Stock Markets ◽  
Chinese Stock Market ◽  
Stock Market Crash ◽  
Optimal Weights ◽  
Hedge Ratios ◽  
The Us ◽  
The Usa ◽  
Us Financial Crisis

This study employs the Vector Autoregressive-Generalized Autoregressive Conditional Heteroskedasticity (VAR-AGARCH) model to examine both return and volatility spillovers from the USA (developed) and China (Emerging) towards eight emerging Asian stock markets during the full sample period, the US financial crisis, and the Chinese Stock market crash. We also calculate the optimal weights and hedge ratios for the stock portfolios. Our results reveal that both return and volatility transmissions vary across the pairs of stock markets and the financial crises. More specifically, return spillover was observed from the US and China to the Asian stock markets during the US financial crisis and the Chinese stock market crash, and the volatility was transmitted from the USA to the majority of the Asian stock markets during the Chinese stock market crash. Additionally, volatility was transmitted from China to the majority of the Asian stock markets during the US financial crisis. The weights of American stocks in the Asia-US portfolios were found to be higher during the Chinese stock market crash than in the US financial crisis. For the majority of the Asia-China portfolios, the optimal weights of the Chinese stocks were almost equal during the Chinese stock market crash and the US financial crisis. Regarding hedge ratios, fewer US stocks were required to minimize the risk for Asian stock investors during the US financial crisis. In contrast, fewer Chinese stocks were needed to minimize the risk for Asian stock investors during the Chinese stock market crash. This study provides useful information to institutional investors, portfolio managers, and policymakers regarding optimal asset allocation and risk management.

Reaksi Pasar Dalam Bentuk Return Sebelum, Selama, dan Sesudah Peristiwa Piala Dunia Tahun 2014 pada Pasar Modal Asean

2015 ◽  
Vol 2 (02) ◽  
pp. 229-237
Author(s):  
Ratih Pratiwi ◽  
Muhammad Yusuf
Keyword(s):  
Data Analysis ◽  
Stock Market ◽  
Stock Markets ◽  
Quantitative Data ◽  
Market Reaction ◽  
Jel Classification ◽  
T Test ◽  
World Cup ◽  
Data Analysis Technique ◽  
Analysis Technique

A B S T R A C T Investor realized that the stock market gradually decreased during World Cup.The research aimed to analyze the return of market reaction which happenned before, during, and after World Cup 2014 on ASEAN stock market. The sample involved 181 companies were included in LQ-45, STI, FTSE BM KLCI, SET 50, PSEI index, which fulfilled the reseach criteria. The data analysis technique used was one sampel t-test with quantitative data. Based on the result, can be concluded that Indonesia and Thailand stock markets were higly effected by World Cup. A B S T R A K Investor mengetahui bahwa setiap piala dunia berlangsung, pergerakan saham melambat. Hal tersebut terbukti dengan terjadi penurunan return saham di pasar modal. Penelitian ini bertujuan untuk menganalisa reaksi pasar dalam bentuk return terjadi sebelum, selama dan sesudah piala dunia tahun 2014 pada pasar modal ASEAN. Sampel yang digunakan dalam penelitian ini sebanyak 181 perusahaan yang termasuk dalam indeks LQ-45, STI, FTSE BM KLCI, SET 50, PSEI dan memenuhi kriteria penelitian.Teknik analisa data menggunakan one sampel t-test dengan data kuantitatif. Hasil penelitian menemukan bukti bahwa pasar modal Indonesia dan Thailand sangat bereaksi terhadap peristiwa piala dunia tahun 2014. JEL Classification: G14, M20

scholarly journals Linkages between gold and emerging Asian stock markets: New evidence from the Chinese stock market crash

2021 ◽  
Vol 39 (2) ◽  
Author(s):  
Imran Yousaf ◽  
Shoaib Ali
Keyword(s):  
Financial Crisis ◽  
Stock Market ◽  
Stock Markets ◽  
Global Financial Crisis ◽  
Chinese Stock Market ◽  
Stock Market Crash ◽  
Volatility Spillovers ◽  
Hedge Ratios ◽  
The Global Financial Crisis ◽  
New Evidence

This study examines the return and volatility transmission between gold and nine emerging Asian Stock Markets during the global financial crisis and the Chinese stock market crash. We use the VAR-AGARCH model to estimate return and volatility spillovers over the period from January 2000 through June 30, 2018. The results reveal the substantial return and volatility spillovers between the gold and emerging Asian stock markets during the global financial crisis and the Chinese stock market crash. However, these return and volatility transmissions vary across the pairs of stock markets and the financial crises. Besides, we analyze the optimal portfolios and hedge ratios between gold and emerging Asian stock markets during all sample periods. Our findings have important implications for effective hedging and diversification strategies, asset pricing and risk management.

The optimal thermal causal path analysis on the relationship between international crude oil price and stock market

Kybernetes ◽  
2018 ◽  
Vol 47 (6) ◽  
pp. 1242-1261 ◽  
Author(s):  
Can Zhong Yao ◽  
Peng Cheng Kuang ◽  
Ji Nan Lin
Keyword(s):  
Stock Market ◽  
Crude Oil ◽  
Stock Markets ◽  
Oil Prices ◽  
Oil Price ◽  
Chinese Stock Market ◽  
Crude Oil Price ◽  
Content Type ◽  
Crude Oil Prices ◽  
Causal Path

Purpose The purpose of this study is to reveal the lead–lag structure between international crude oil price and stock markets. Design/methodology/approach The methods used for this study are as follows: empirical mode decomposition; shift-window-based Pearson coefficient and thermal causal path method. Findings The fluctuation characteristic of Chinese stock market before 2010 is very similar to international crude oil prices. After 2010, their fluctuation patterns are significantly different from each other. The two stock markets significantly led international crude oil prices, revealing varying lead–lag orders among stock markets. During 2000 and 2004, the stock markets significantly led international crude oil prices but they are less distinct from the lead–lag orders. After 2004, the effects changed so that the leading effect of Shanghai composite index remains no longer significant, and after 2012, S&P index just significantly lagged behind the international crude oil prices. Originality/value China and the US stock markets develop different pattens to handle the crude oil prices fluctuation after finance crisis in 1998.

Sign in / Sign up

Export Citation Format

Share Document