scholarly journals Remeasuring Sectoral Herding in the Financial Markets

2020 ◽  
Vol 13 (8) ◽  
pp. 1
Author(s):  
Mohammad K. Elshqirat
Keyword(s):  
Financial Crisis ◽  
Behavioral Finance ◽  
Global Financial Crisis ◽  
Stock Exchange ◽  
Industrial Sector ◽  
Rank Test ◽  
Herding Behavior ◽  
Absolute Deviation ◽  
Cross Sectional ◽  
The Cross

Herding behavior was concluded to exist in some sectors and under some market conditions in the Jordanian stock market when measured using the cross-sectional absolute deviation. The purpose of this study was to retest the existence of the sectoral herding using the cross-sectional dispersion of betas and compare the results with those reached using the measure of the cross-sectional absolute deviation. Behavioral finance theory represents the main base on which this study was built. In this study, the researcher tried to answer questions related to whether herding behavior exists in the Jordanian market and its sectors if measured using cross-sectional dispersion of betas and whether results will be different from those reached using other measures. In this quantitative study, data from Amman stock exchange were used and the period covered was from 2000 to 2018. These data were used to calculate the cross-sectional dispersion of betas which was tested using t-test, Kruskal–Wallis test, Mann-Whitney U test, and Wilcoxon Signed-Rank test. Results indicated that herding behavior existed in market and in each sector at the same level which was not affected by the financial crisis. Furthermore, the study revealed that herding level was the same when the market (sector) was rising and when it was falling and this similarity has not been changed by the occurrence of the global financial crisis. Finally, results indicated that herding was at its lowest level in the entire market and in the industrial sector during the time of financial crisis. These results are different from those of the study conducted in Jordan using cross-sectional absolute deviation which implies that using different herding measures yields different results.

scholarly journals Testing Sectoral Herding in the Jordanian Stock Market

2019 ◽  
Vol 12 (8) ◽  
pp. 88
Author(s):  
Mohammad K. Elshqirat
Keyword(s):  
Financial Crisis ◽  
Behavioral Finance ◽  
Global Financial Crisis ◽  
Least Squares Method ◽  
Stock Exchange ◽  
Ordinary Least Squares ◽  
Market Condition ◽  
Herding Behavior ◽  
Industrial Sectors ◽  
The Global Financial Crisis

The main purposes of this quantitative study were to examine the existence of herding behavior among investors in Amman stock exchange (ASE) at market and sector level in addition to testing the behavior during the market rising and falling and examining whether the behavior existence is different before and after the global financial crisis of 2008. The theoretical base of the study was the behavioral finance which assumes that investors are not completely rational and they may follow others when taking investment decisions. The main enquires of the study were about the existence of herding in the Jordanian market, whether it's affected by conditions of market rising and falling, and whether it's affected by the financial crisis. A quantitative design was employed to achieve the purposes of this study which covers the period 2000 - 2018. Data were obtained from ASE website and analyzed using ordinary least squares method. The results indicated that herding is absent in the Jordanian market if tested at market level while it exists in services and industrial sectors if tested at sectors level. The financial crisis did not affect the presence of herding at market level while it did affect the behavior in services and industrial sectors. Moreover, the results revealed that market condition of rising and falling affected herding at market level but not at sectors level. It is also concluded that the global financial crisis changed the presence of herding behavior during conditions of rising and falling in market and in each sector.

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 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.

scholarly journals Investigative Study of Investor’s Herding Behavior During Bullish and Bearish Market: A Case of Pakistan Stock Exchange

2021 ◽  
Vol 6 (3) ◽  
pp. 17-25
Author(s):  
Muhammad Tayyab Ul Hassan ◽  
Syed Hassan Jamil
Keyword(s):  
Standard Deviation ◽  
Trading Volume ◽  
Stock Exchange ◽  
Emerging Market ◽  
Market Volatility ◽  
Herd Behavior ◽  
Herding Behavior ◽  
Absolute Deviation ◽  
Cross Sectional ◽  
Asymmetric Effects

This study investigates the influence of herd behavior on the Pakistan stock exchange indexes KSE-100 and KSE-30 during bullish and bearish markets. Using the daily market return from 2007 to 2020. We implement the method of main herding measures, Cross-sectional absolute deviation, and Cross-sectional standard deviation, to explore the influence of herd behavior in the emerging market of Pakistan. The results indicate the presence of market-wide herd behavior: (a) along with the different direction of market positive and negative return, (b) when trading volume high, (c) when stock market highly volatile, and (d) during and the post-financial crisis. Moreover, Investors don’t herd when low trading volume and low volatility. Our study fills the gap in the literature and contributes to academic relevance by exploring the influence of herd behavior among both bull and bear periods in markets of Pakistan, it also examines the possible asymmetric effects of herding related to the market with high-low trading volume and market 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.

Herd Behaviour: How Decisive is the Noise in the NSE and BSE Stock Markets?

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Paritosh Chandra Sinha
Keyword(s):  
Behavioral Finance ◽  
Stock Markets ◽  
High Frequency ◽  
Stock Exchange ◽  
Time Stamp ◽  
Trade Volume ◽  
Herding Behavior ◽  
Equilibrium Pricing ◽  
Indian Context ◽  
Herd Behaviour

Do investors in the stock markets act/react on true information or noise? Do they believe on their own information or simply herd? The study seeks to explore these typical research queries from the behavioral finance perspectives. In particular, it develops a new theory of herding behavior and extends the models of Banerjee (1992) and Bikhchandani, Hirshleifer, and Welch (1992). The study also empirically tests the same on the Indian context with the high frequency intraday trading data for the real trade-time or time-stamp, trade-volume, and trade-price of ten sample scripts listed for their trading in both markets - the Bombay Stock Exchange (BSE) and the National stock Exchange (NSE). The study contributes to the literature with original findings. It shows that investors in the two Indian stock markets show crowd of positive and negative herding as well significantly and there is huge noise along with information in the markets equilibrium pricing mechanism.

Financial distress determinants among SMEs: empirical evidence from Sweden

2020 ◽  
Vol 47 (3) ◽  
pp. 547-560 ◽  
Author(s):  
Darush Yazdanfar ◽  
Peter Öhman
Keyword(s):  
Financial Crisis ◽  
Financial Distress ◽  
Large Scale ◽  
Global Financial Crisis ◽  
Binary Logistic Regression ◽  
Data Availability ◽  
Cross Sectional ◽  
Data Set ◽  
Content Type ◽  
The Global Financial Crisis

PurposeThe purpose of this study is to empirically investigate determinants of financial distress among small and medium-sized enterprises (SMEs) during the global financial crisis and post-crisis periods.Design/methodology/approachSeveral statistical methods, including multiple binary logistic regression, were used to analyse a longitudinal cross-sectional panel data set of 3,865 Swedish SMEs operating in five industries over the 2008–2015 period.FindingsThe results suggest that financial distress is influenced by macroeconomic conditions (i.e. the global financial crisis) and, in particular, by various firm-specific characteristics (i.e. performance, financial leverage and financial distress in previous year). However, firm size and industry affiliation have no significant relationship with financial distress.Research limitationsDue to data availability, this study is limited to a sample of Swedish SMEs in five industries covering eight years. Further research could examine the generalizability of these findings by investigating other firms operating in other industries and other countries.Originality/valueThis study is the first to examine determinants of financial distress among SMEs operating in Sweden using data from a large-scale longitudinal cross-sectional database.

scholarly journals The Investment in Fixed Assets Before and After the Global Financial Crisis (Empirical Study for Industry and Investment Sector in Palestine Stock Exchange)

2021 ◽  
Vol 12 (4) ◽  
pp. 52
Author(s):  
Tamer Bahjat Sabri
Keyword(s):  
Financial Crisis ◽  
Global Financial Crisis ◽  
Stock Exchange ◽  
Return On Assets ◽  
Significant Difference ◽  
Fixed Assets ◽  
Before And After ◽  
The Global Financial Crisis ◽  
Investment In Fixed Assets ◽  
Shed Light

This paper seeks to shed light on investment in fixed assets before and after the financial crisis that took place in 2008 and compare the two periods together in the sectors of industry and investment in Palestine Stock Exchange. The period between 2005 – 2007 was chosen to represent to the pre-crisis time and the period between 2010 -2012 was chosen to represent the post-crisis time. The population of the study consists of fifteen organizations from both sectors. To test the hypothesis of the study, the independent samples T-test was employed.The average ratio of fixed assets to the total assets of industry and investment rose from 56.2% before the crisis to 58.5% after the crisis. As for the hypotheses of the study, the findings showed no difference except for the seventh hypothesis. There was a statically significant difference in the ratio of fixed assets to equity between the listed companies that a high return on assets and those that have a low return.

scholarly journals The impact of operating leverage on the capital structure of Johannesburg Stock Exchange-listed firms before and after the 2008 global financial crisis

2018 ◽  
Vol 11 (1) ◽  
Author(s):  
Matabane T. Mohohlo ◽  
Johan H. Hall
Keyword(s):  
Financial Crisis ◽  
Capital Structure ◽  
South African ◽  
Global Financial Crisis ◽  
Stock Exchange ◽  
Johannesburg Stock Exchange ◽  
The Global Financial Crisis ◽  
Operating Leverage ◽  
The Impact ◽  
The Capital Structure

The financial leverage-operating leverage trade-off hypothesis states that as financial leverage increases, management of firms will seek to reduce the exposure to operating leverage in an attempt to balance the overall risk profile of a firm. It is the objective of this study to test this hypothesis and ascertain whether operating leverage can indeed be added to the list of factors that determine the capital structure of South African firms. Forty-six firms listed on the Johannesburg Stock Exchange between 1994 and 2015 are analysed and the impact of operating leverage is determined. The results are split into two periods, that is, the period before the global financial crisis (1994–2007) and after the global financial crisis (2008–2015). The impact of operating leverage during these two periods is then compared to determine whether a change in the impact of operating leverage on the capital structure can be observed especially following the crisis. The results show that the conservative nature of South African firms leading up to 2008 persisted even after the global financial crisis. At an industry level, the results reveal that operating leverage does not have a noticeable impact on capital structure with the exception of firms in the industrials sector of the South African economy.

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