scholarly journals MONETARY POLICY AND HERDING BEHAVIOR DEVELOPED MARKET AND EMERGING MARKET COMPARISON

TRIKONOMIKA ◽  
2021 ◽  
Keyword(s):  
Monetary Policy ◽  
Stock Market ◽  
Emerging Market ◽  
Common Factors ◽  
Regression Method ◽  
Herd Behavior ◽  
Panel Regression ◽  
Herding Behavior ◽  
Ols Regression ◽  
Domestic Stock

The research examines impact of monetary policy on herding behavior in the stock market. This study used OLS Regression, SUR, and Panel Regression Method. The results show that monetary policy affects herd behavior in stock market, specially in emerging market which have a specific characteristic such as low liquidity and low number of investor. Using SUR, this study show that common factors which affect the global herd behavior are not influential. Domestic stock market has its own variable that may initiate herd behavior.

scholarly journals Monetary policy and stock market reaction: developed market and emerging market comparison

2021 ◽  
Vol 13 (2) ◽  
pp. 135
Author(s):  
Buddi Wibowo
Keyword(s):  
Monetary Policy ◽  
Exchange Rate ◽  
Stock Market ◽  
Interest Rates ◽  
Financial Management ◽  
Market Reaction ◽  
Emerging Market ◽  
Common Factors ◽  
Short Term ◽  
Stock Market Reaction

This research examines the correlation between monetary policy and stock market reaction. Monetary policy is represented by short term interest rate and exchange rate to USD. This quantitative research uses OLS Regression, SUR, and Panel Regression Method. The results suggest that monetary policy affects the movement of the stock market return. Using OLS and SUR, this study finds that short-term interest rates have a significant negative correlation to return, and exchange rates positively correlate with returning. Using the Panel Data Model, this study finds that short-term interest rates have significant correlations in G7 and emerging countries. Still, the exchange rate is only significant in the emerging market. With SUR, there are common factors that affect the global return to move together. Domestic monetary policy is not an effective tool to influence the stock market because there are common factors in a region. From a financial management perspective, this result gives a practical reason for an investor to create an optimal portfolio through regional stock market diversification. Considering monetary policy in a country as a crucial factor in rebalancing the portfolio, standard regional monetary policy becomes an appropriate strategy.

Turkey’s new economic team acts to restore credibility

2020 ◽  
Keyword(s):  
Monetary Policy ◽  
Stock Market ◽  
Interest Rates ◽  
Late Stage ◽  
Emerging Market ◽  
Content Type ◽  
Finance Minister ◽  
The Us ◽  
Multiple Interest ◽  
The Eu

Significance In one of the most significant changes in direction in a major emerging market (EM) in recent years, newly appointed TCMB Governor Naci Agbal has tightened monetary policy dramatically while abandoning a convoluted system of multiple interest rates. With another technocrat, Lufti Elvan, appointed finance minister, monetary policy could be returning to normality. Impacts A Biden administration is expected to prove unaccommodating towards Turkey, especially given its purchase of a Russian air defence system. This may be leading Erdogan to extend feelers to the EU, recently promising reforms and insisting Turkey is an “inseparable” part of Europe. Anti-coronavirus vaccines’ late-stage trial results are encouraging market optimism, with the US stock market hitting a record this month.

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 Stock Market Reaction to Monetary Policy Modifications: Evidence from an Emergent Market

2021 ◽  
Vol 10 (3) ◽  
pp. 59
Author(s):  
Cordelia Onyinyechi Omodero ◽  
Dorcas Titilayo Adetula ◽  
Kingsley Adeyemo
Keyword(s):  
Monetary Policy ◽  
Exchange Rate ◽  
Interest Rate ◽  
Stock Market ◽  
Money Supply ◽  
Market Reaction ◽  
Emerging Market ◽  
Harmful Effect ◽  
Stock Market Reaction ◽  
Stock Market Performance

This study evaluates the stock market reaction to monetary policy modifications in an emerging market using Nigeria as a case study.  Due to the crucial role the stock market plays in the global economy and finance, it becomes an attraction for most researchers and policymakers who try to find a basis for its smooth operation.  This study uses data that cover a period from 1998 to 2018 to establish what the position is in recent times empirically. The data are collected on all share index, money supply, interest rate and exchange rate. The multiple regression results provide evidence that the money supply has a significant favourable influence on the all-share index. In contrast, the interest rate has an immaterial harmful effect on the stock market output.  However, the result indicates that the exchange rate affects the stock market performance negatively, but the effect is insignificant. Based on these findings, the study suggests pilot test running of all monetary policy amendments by the monetary authority in the country before full implementation.  The government should encourage the CBN to cut down on interest rate and avoid all policies that will lead to a crash in the Nigerian stock market.   Received: 16 October 2020 / Accepted: 12 February 2021 / Published: 10 May 2021

What make investors herd while investing in the Indian stock market? A hybrid approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Muskan Sachdeva ◽  
Ritu Lehal ◽  
Sanjay Gupta ◽  
Aashish Garg
Keyword(s):  
Stock Market ◽  
Fuzzy Ahp ◽  
Hybrid Approach ◽  
North India ◽  
Second Phase ◽  
Herd Behavior ◽  
Herding Behavior ◽  
Two Phase ◽  
Content Type ◽  
Indian Stock Market

PurposeIn recent years, significant research has focused on the question of whether severe market periods are accompanied by herding behavior. As herding behavior is a considerable cause of the speculative bubble and leads to stock market deviations from their basic values it is necessary to examine the motivators which led to herding behavior among investors. The paper aims to discuss this issue.Design/methodology/approachIn this study, the authors performed a two-phase analysis to address the research questions of the study. In the first phase, for text analysis NVivo software was used to identify the factors driving herding behavior among Indian stock investors. The analysis of a text was performed using word frequency analysis. While in the second phase, the Fuzzy-AHP analysis techniques were employed to examine the relative importance of all the factors determined and assign priorities to the factors extracted.FindingsResults of the study depicted Investor Cognitive Psychology (ICP), Market Information (MI), Stock Characteristics (SC) as the top-ranked factors driving herding behavior, while Socio-Economic Factors (SEF) emerged as the least important factor driving herding behavior.Research limitations/implicationsThe current study was undertaken among stock investors from North India only. Moreover, numerous factors are not part of the study but might significantly influence the investors' herding behaviors.Practical implicationsComprehending the influences of the different factors discussed in the study would enable stock investors to be more aware of their investment choices and not resort to herd behavior. This research enables decision-makers to understand the reasons for herd activity and helps them act accordingly to improve the stock market's performance.Originality/valueThe current study will provide an inclusive overview of herding behavior motivators among Indian stock investors. This study's results can be extremely useful for both academics and policymakers to gain some insight into the functioning of the Indian 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.

An examination of herding behavior in Pakistani stock market

2015 ◽  
Vol 10 (3) ◽  
pp. 474-490 ◽  
Author(s):  
Zuee Javaira ◽  
Arshad Hassan
Keyword(s):  
Decision Making ◽  
Stock Market ◽  
Stock Exchange ◽  
The Body ◽  
Investor Behavior ◽  
Decision Making Process ◽  
Herd Behavior ◽  
Herding Behavior ◽  
Content Type ◽  
Portfolio Returns

Purpose – The purpose of this paper is to examine the investment behavior of Pakistani stock market participants, specifically with respect to their tendency to exhibit herd behavior. Design/methodology/approach – The study employed two different methodologies suggested by Christie and Huang (1995) and Chang et al. (2000) to test herd formation. Results are based on daily and monthly stock of KSE-100 index for the period 2002-2007. Findings – Results based on daily and monthly stock data from Karachi Stock Exchange indicate the non-existence of herd behavior for the period 2002-2007 and find no support for the rational asset pricing model and investor behavior found inefficient. This study denied proved evidence of herding due to market return asymmetry, high and low trading volume states and asymmetric market volatility. Macroeconomic fundamentals have insignificant role in decision-making process of investor therefore has no impact on herding behavior. However, during liquidity crisis of March 2005, Pakistani stock market exhibit herding behavior due to asymmetry of information among investors, presence of speculator and questionable badla financing-local leverage financing mechanism. Research limitations/implications – In future, this study can be improved by employing stock returns portfolios based on market capitalization or sector wise portfolio returns from KSE-100. Furthermore by identifying those factors that cause market to be overall inefficient and define the pattern of the investor trading activities. Practical implications – For an accurate valuation of assets investors should incorporate the herding factor. Social implications – As the assets are mispriced, investor behavior is uncertain and markets are inefficient, foreign investors should invest with caution, as large numbers of securities are needed to achieve the same level of diversification than in an otherwise normal market. Originality/value – In Karachi Stock Exchange, it is first attempt to uncover the herding behavior. This paper contribute to the body of knowledge by investigating the herding behavior in the emerging markets since most of the previous study concentrate more on the developed markets. Furthermore, the study also analyzed the herding behavior in different economic condition and includes economic variables and examines asymmetric effect. This study presents an integrated model to test herding behavior in Pakistani equity market. Consideration of said behavioral effect in the decision-making process of investor will make the decisions more rational and optimal.

scholarly journals Cross-Market Infection Research on Stock Herding Behavior Based on DGC-MSV Models and Bayesian Network

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Jing Zhang ◽  
Ya-ming Zhuang
Keyword(s):  
Stock Market ◽  
Bayesian Network ◽  
Stochastic Volatility ◽  
Strong Correlation ◽  
Stock Markets ◽  
Computational Analysis ◽  
Herd Behavior ◽  
Herding Behavior ◽  
Volatility Spillovers ◽  
Multivariate Stochastic Volatility

This paper is concerned with the multivariate stochastic volatility modeling of the stock market. We investigate a DGC-t-MSV model to find the historical volatility spillovers between nine markets, including S&P, Nasdaq, SSE, SZSE, HSI, FTSE, CAC, DAX, and Nikkei indices. We use the Bayesian network to analyze the spreading of herd behavior between nine markets. The main results are as follows: (1) the DGC-t-MSV model we considered is a useful way to estimate the parameter and fit the data well in the stock market; (2) our computational analysis shows that the S&P and Nasdaq have higher volatility spillovers to the Shanghai and Shenzhen stock markets; (3) the results also show that there is a strong correlation between stock markets in the same region.

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.

Sign in / Sign up

Export Citation Format

Share Document