Understanding Distribution Pattern of Banking Sector Stock Prices in Indian Stock Market

2010 ◽  
Vol 6 (3) ◽  
pp. 88-98
Author(s):  
Praloy ◽  
Sooraj ◽  
Archana ◽  
Rinu ◽  
Charul ◽  
...  
Keyword(s):  
Stock Market ◽  
Distribution Pattern ◽  
Stock Prices ◽  
Banking Sector ◽  
Indian Stock Market

Prior Return Effect in Indian Stock Market: An Intra-day Analysis

2015 ◽  
Vol 5 (1) ◽  
Author(s):  
Vanita Tripathi ◽  
Shalini Aggarwal
Keyword(s):  
Stock Market ◽  
Stock Prices ◽  
High Frequency ◽  
Good News ◽  
High Frequency Data ◽  
Short Term ◽  
Fund Managers ◽  
News Events ◽  
Return Effect ◽  
Indian Stock Market

In a first of this kind, this paper examines the issue of prior return effect in Indian stock market in intra-day analysis using high frequency data. We document that in Indian stock market, security returns exhibit a reversal in their direction within few minutes of extreme price rises as well as price falls. However the speed with which the correction takes place is slightly different for good news events and bad news events. Indian investors tend to be optimistic as they immediately bring stock prices up following unjustified price falls but take time to bring stock prices down following unjustified price rises. These findings lend a further support to short-term overreaction literature. More importantly, these findings serve as a proof of predictability of the direction of future stock prices and consequent returns on an intra-day basis. It forwards important investment implications for traders, fund managers, and investors at large.

scholarly journals Repercussions of COVID-19 on the Indian stock market

2021 ◽  
Vol 5 (S1) ◽  
pp. 1495-1509
Author(s):  
Dhananjay Ashri ◽  
Bibhu Prasad Sahoo ◽  
Ankita Gulati ◽  
Irfan UL Haq
Keyword(s):  
Stock Market ◽  
Financial Markets ◽  
Banking Sector ◽  
Oil And Gas ◽  
Negative Impact ◽  
Long Run ◽  
Short Run ◽  
Indian Stock Market ◽  
The Impact ◽  
Daily Returns

The present paper determines the repercussions of the coronavirus on the Indian financial markets by taking the eight sectoral indices into account. By taking the sectoral indices into account, the study deduces the impact of virus outbreak on the various sectoral indices of the Indian stock market. Employing Welch's t-test and Non-parametric Mann-Whitney U test, we empirically analysed the daily returns of eight sectoral indices: Nifty Auto, Nifty FMCG, Nifty IT, Nifty Media, Nifty Metal, Nifty Oil and Gas, Nifty Pharma, and Nifty Bank. The results unveiled that pandemic had a negative impact on the automobile, FMCG, pharmaceuticals, and oil and gas sectors in the short run. In the long run, automobile, oil and gas, metals, and the banking sector have suffered enormously. The results further unveiled that no selected indices underperformed the domestic average, except NIFTY Auto. 

Bull and Bear Phases: An Empirical Perusal of Indian Stock Market NSE and BSE Stock Markets?

2016 ◽  
Vol 6 (2) ◽  
Author(s):  
Sunaina Kanojia ◽  
Neha Arora
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Stock Prices ◽  
Time Series Data ◽  
Series Data ◽  
Bear Market ◽  
Bull Markets ◽  
Indian Stock Market ◽  
Increases In Risk ◽  
Considerable Support

In general, any one known to stock market is acquainted with the phenomenon of bull and bear phases, but whether the traders or investors put air to these phases while making a decision to buy, sell, or stay invested. The present paper attempts to identify and analyze the two most popular market phases, i.e. bull and bear, for better investment decisions with the use of Bry and Boschan Algorithm and time series data. Further, it seeks to analyze the distributional characteristics of the variances in stock returns and search evidence of asymmetries, if any, in volatility under different market conditions which may help to shed light on the bull and bear phases of Indian equity market. The study arrange for evidence that in bull markets, stock prices run far ahead of earnings and for fairly long periods of time. The paper indicates 12 bull and bear phases in the Sensex and Nifty during the sample period of 19 years with the associated factors responsible for the shift of bull and bear market phases. The results provide considerable support for the view that markets choose to ignore adverse possibilities and react with zest to favorable possibilities and market declines can partly be explained by increases in risk.

Impact on Stock Price by the Inclusion to and Exclusion from CNX Nifty Index

2012 ◽  
Vol 13 (1) ◽  
pp. 39-50 ◽  
Author(s):  
M. Selvam ◽  
G. Indhumathi ◽  
J. Lydia
Keyword(s):  
Stock Market ◽  
Stock Prices ◽  
Stock Price ◽  
Research Study ◽  
Stock Exchange ◽  
Valuation Effect ◽  
Index Maintenance ◽  
Indian Stock Market ◽  
The Impact ◽  
Indian Perspective

Changes in an index are a regular phenomenon and they take place due to the inclusion and exclusion of stocks from the index. The inclusion or exclusion of stocks creates great impact on the value of the firm. However, these changes are simply a short-lived event with no permanent valuation effect. The present research study analyzed the impact of the inclusion into and exclusion of certain stocks from National Stock Exchange (NSE) S&P CNX Nifty index with Indian perspective. The study provides evidence on whether the announcements of Nifty index maintenance committee have any information content. This will also demonstrate the efficiency of Indian stock market with particular reference to NSE. The study revealed that on an average, no permanent effects were observed on stock prices. It is also found from the study that the NSE reacted unfavourably to the inclusion and exclusion of stocks and it is impossible to earn any excess returns where the particular stocks are included or excluded from the index.

scholarly journals How COVID-19 impacts Vietnam’s banking stocks: An event study method

2021 ◽  
Vol 16 (1) ◽  
pp. 92-102
Author(s):  
Phuong Lai Cao Mai
Keyword(s):  
Stock Market ◽  
Stock Prices ◽  
Stock Price ◽  
Banking Sector ◽  
Abnormal Returns ◽  
Fair Value ◽  
First Case ◽  
Epidemic Area ◽  
Event Study Method ◽  
Before And After

The banking industry is one of the major industries in the Vietnamese stock market, so understanding how the industry index reacts to unusual events such as COVID-19’s impact is very important for the development of the Vietnamese stock market. This study examines the response of the banking sector index to three lockdown/blockage announcements to prevent the COVID-19 epidemic in Vietnam in 2020. Three times of lockdown/blockage: On February 13, 2020, blockade of Son Loi commune, Vinh Phuc province; on March 30, 2020, Vietnam announced the nationwide epidemic of COVID-19 and then nationwide lockdown, and on July 28, 2020, blockade in Da Nang. In the first case, the abnormal returns changed the sign around the notification date indicating that the stock price deviated from its fair value, but accumulating abnormal returns CAR (0;3] and CAR (0; 2] are both positive and statistically significant, which means that investors are more secure when the epidemic area is tightly controlled. The nationwide lockdown was the event that had the strongest impact on the stock price when both AR and CAR were negative and statistically significant before and after the date of the event’s announcement. Nationwide lockdown was the event that had the strongest impact on stock prices as both AR and CAR were negative in the days before and days after the event. This result supports the theory of imperfect substitution. Only AR [2] was positive and statistically significant, showing that the blockade event in Da Nang had a slight impact on the banking sector’s stock price.

scholarly journals An Empirical Analysis of Impact of Macroeconomic Variables on Indian Stock Market

2019 ◽  
Vol 8 (3) ◽  
pp. 2033-2038
Keyword(s):  
Stock Market ◽  
Banking Sector ◽  
Research Work ◽  
Share Price ◽  
Macroeconomic Factors ◽  
Macroeconomic Variables ◽  
Repo Rate ◽  
Macroeconomic Determinants ◽  
Indian Stock Market ◽  
The Impact

This research paper, using monthly returns of macroeconomic variables, Nifty, and stock price from 3 sectors, examines the impact of macroeconomic determinants on Nifty and banking sector stocks from May 2009 to July 2018. The paper also analyses the granger cause between macroeconomic variables and Nifty; macroeconomic variables and Indian banking sector stocks. This paper also extends the research work in finding out the impact before and during Narendra Modi government. Johansen’s co-integration and granger causality tests were applied for this research work. The results of Johansen’s co-integration proved that there is a long relation between selected macroeconomic factors, i.e. bank rate, repo rate, and reverse repo rate, and Indian stock market and also on banking sector share price. There is granger cause before Modi Government and during Modi Government. It is concluded that, a positive significant relationship exists between macroeconomic determinants and Indian stock market.

Bull and Bear Phases: An Empirical Perusal of Indian Stock Market NSE and BSE Stock Markets?

GIS Business ◽  
2016 ◽  
Vol 11 (5) ◽  
pp. 11-24
Author(s):  
Sunaina Kanojia ◽  
Neha Arora
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Stock Prices ◽  
Time Series Data ◽  
Series Data ◽  
Bear Market ◽  
Bull Markets ◽  
Indian Stock Market ◽  
Increases In Risk ◽  
Considerable Support

In general, any one known to stock market is acquainted with the phenomenon of bull and bear phases, but whether the traders or investors put air to these phases while making a decision to buy, sell, or stay invested. The present paper attempts to identify and analyze the two most popular market phases, i.e. bull and bear, for better investment decisions with the use of Bry and Boschan Algorithm and time series data. Further, it seeks to analyze the distributional characteristics of the variances in stock returns and search evidence of asymmetries, if any, in volatility under different market conditions which may help to shed light on the bull and bear phases of Indian equity market. The study arrange for evidence that in bull markets, stock prices run far ahead of earnings and for fairly long periods of time. The paper indicates 12 bull and bear phases in the Sensex and Nifty during the sample period of 19 years with the associated factors responsible for the shift of bull and bear market phases. The results provide considerable support for the view that markets choose to ignore adverse possibilities and react with zest to favorable possibilities and market declines can partly be explained by increases in risk.

scholarly journals Credit Rating Changes and Stock Market Reaction in the Kingdom of Bahrain

2016 ◽  
Vol 8 (8) ◽  
pp. 23 ◽  
Author(s):  
Marwan M. Abdeldayem ◽  
Ramzi Nekhili
Keyword(s):  
Stock Market ◽  
Event Study ◽  
Stock Prices ◽  
Banking Sector ◽  
Credit Rating ◽  
Market Reaction ◽  
Stock Market Reaction ◽  
Rating Changes ◽  
The Impact

<p>Between 2014 and 2015, the oil price almost halved. Since then, it has fallen a further 40%. Consequently, Moody’s Investors Service has downgraded Bahrain’s long-term issuer rating from Baa3 to Ba1with a negative outlook and placed it on review for further downgrade. In this context, previous literature reaches no agreement about the impact of credit rating changes on stock prices. Some studies indicate that credit rating changes do not affect stock prices, while others conclude they do. Therefore, this study aims to examine whether credit rating change has a significant impact on Bahraini stock prices. We conducted an event study to analyze stock market reaction to such news in the Kingdom of Bahrain. Even though Bahrain has witnessed a series of sovereign downgrades over the past five years, the latest downgrading event in February 17, 2016, has been followed by a credit rating downgrade of its banking sector in March 7, 2016. Hence the choice of the sample period of the event study includes both these downgrading events over the period of study from January 2, 2014 till March 22, 2016. Three sectors were selected from the Bahrain all share index: banks, service and industrial. The findings of the study reveal that sovereign rating downgrade has some mixed pre-announcement and post-announcement effects and credit rating downgrade provides useful information. Overall, the results indicate that downgrades and negative outlook announcements have an adverse impact on long-term equity returns, but little impact on short-term performance.</p>

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