scholarly journals Conditional relation between return and co-moments – an empirical study for emerging Indian stock market

2020 ◽  
Vol 17 (2) ◽  
pp. 308-319 ◽  
Author(s):  
Rashmi Chaudhary ◽  
Dheeraj Misra ◽  
Priti Bakhshi
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Stock Market ◽  
Cross Sections ◽  
Stock Price ◽  
Panel Data Analysis ◽  
Portfolio Returns ◽  
Portfolio Managers ◽  
Capm Model ◽  
Indian Stock Market

Due to many theoretical and practical shortcomings of the traditional CAPM model, this study aims at analyzing the CAPM with possible extensions. The analysis aims to know the empirical soundness of Conditional Higher Moment CAPM in emerging India’s capital market. The sample consists of 69 company’s daily stock price data from April 2004 to March 2019 from NSE 100. Panel data analysis is used on 21 cross-sections. The overall results show that when both up and down markets are incorporated separately, all three moments, namely, co-variance, co-skewness, and co-kurtosis, are priced during the normal Indian economy phase. Further, this study states that including higher moments (co-skewness and co-kurtosis) in the two-moment model provides symmetry in both the up and down markets. This is one of the first studies in the Indian Stock market explaining the variation in portfolio returns through panel data analysis by extending CAPM with conditional higher-order co-moments. The portfolio managers should consider skewness and kurtosis along with variance in constructing the optimal portfolios.

Is NPA and Stock Return Related: An Empirical Study of Back Testing Model

2017 ◽  
Vol 10 (1) ◽  
Author(s):  
Madhvi . ◽  
Amit Gautam ◽  
Amit Srivastava
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Stock Price ◽  
Panel Data Analysis ◽  
Negative Relationship ◽  
Share Price ◽  
Correlation Studies ◽  
Back Testing ◽  
Trading Model ◽  
The Relationship

This paper examines the relationship between NPA announcements by banks and the impulsive movement in stock price brought out by these announcements. Primary focus of this study is to determine whether we can create a swing trading model based on back testing the data for the banking stocks listed on the Indian bourses.To achieve this objective we created a databasespanning ten years (2006 to 2016) and collected the daily share prices of eight banks listed on Bombay Stock Exchange (BSE). The relationship between share price and changes in NPA is studied on the basis of correlation studies and panel-data analysis. Although correlation studies does not establish any significant relationship, but the result of panel-data analysis clearly shows a negative relationship between the two. The result is further utilized to develop swing trading model and get benefit out of it. The novelty of the present study is that it clearly guides the swing traders as to how to earn benefit because of fluctuations in share price due to announce of NPA result.

scholarly journals Planos de Opções de Compra de Ações e o Valor das Companhias Brasileiras

2012 ◽  
Vol 10 (1) ◽  
pp. 105
Author(s):  
Fernanda Finotti Cordeiro Perobelli ◽  
Bruno De Souza Lopes ◽  
Alexandre Di Miceli da Silveira
Keyword(s):  
Corporate Governance ◽  
Data Analysis ◽  
Panel Data ◽  
Best Practices ◽  
Stock Price ◽  
Stock Options ◽  
Stock Exchange ◽  
Panel Data Analysis ◽  
Employee Stock Options ◽  
Exercise Price

This work investigates the effects of Employee Stock Options Plans (ESOP) on the value of companies in the Brazilian Stock Exchange (BM&FBOVESPA). An ESOP is a mechanism of variable compensation, generally offered to executives, having the alignment of interests between managers and shareholders as one of its goals. To achieve this purpose, a panel data analysis was used in order to try measuring if the ESOP generated or not value to shareholders. The results show that there is evidence that the ESOP only generates wealth for shareholders when it is well-set, specifically when the exercise price is fixed at-money or out-of-money. An increase in the stock price is also achieved when companies adopt best practices of corporate governance and the ESOP by more than three years.

scholarly journals The Outbreak of COVID-19 and Stock Market Responses: An Event Study and Panel Data Analysis for G-20 Countries

2020 ◽  
pp. 097215092095727
Author(s):  
Bhanwar Singh ◽  
Rosy Dhall ◽  
Sahil Narang ◽  
Savita Rawat
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Event Study ◽  
Stock Markets ◽  
Stock Price ◽  
Negative Impact ◽  
Panel Data Analysis ◽  
Abnormal Returns ◽  
Developed Countries ◽  
The Impact

This study examines the impact of the COVID-19 outbreak on the stock markets of G-20 countries. We use an event study methodology to measure abnormal returns (ARs) and panel data regression to explain the causes of ARs. Our sample consists of indices in G-20 countries. The observed window comprises 58 days post the COVID-19 outbreak news release in the international media, and the estimation window consists of 150 days before the event date. We find statistically significant negative ARs in the four sub-event windows during the 58 days. Negative ARs are significant for developing as well as developed countries. The findings of this study reveal that cumulative average abnormal return (CAAR) from day 0 to day 43, ranging from –0.70 per cent to –42.69 per cent, is a consequence of increased panic in the stock markets resulting from an increased number of COVID-19 positive cases in the G-20 countries. From day 43 to day 57, CAAR ranging from –42.69 per cent to –29.77 per cent indicates the recovery of stock markets after a major stock price correction due to COVID-19. Additionally, the results of panel data analysis confirm the recovery of stock markets from the negative impact of COVID-19.

scholarly journals Firm Performance and Market Behavior during First Wave of COVID-19 in Egypt: Panel Data Analysis

2021 ◽  
Vol 13 (2) ◽  
pp. 1
Author(s):  
May Elewa
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Stock Price ◽  
Fixed Effects ◽  
Business Processes ◽  
Panel Data Analysis ◽  
Trade Volume ◽  
Fixed Effects Model ◽  
Net Profit ◽  
The Impact

The purpose of this paper is to identify the impact of market capital MC and net profit NP on stock price SP and trade volume (TV) in the developing Egyptian business context. This study collects data from 29 non-financial organizations registered on the EGX 30 during the 6 month, 1/1/2020 to 30/6/2020, lockdown in Egypt due to the first wave of COVID-19. Data for the monthly confirmed cases and death cases of COVID-19 are collected for the 6 months of the study and compared to the monthly records of closing prices and trade volume in Egyptian poundsEGP. The study population represents 174 firm year observations. The firms studied operate in cash, have annual financial reports during the period 1/1 to 31/12, obtain complete financial data, and have not been eliminated all throughout the study. In this work the pooled model, the fixed effects model, and the random effects model are used.SPSSis applied to achieve the required statistical analysis. The study is a panel data analysis. Outcomes demonstrate existing substantial effects between market capital MC and stock price SP during the first wave of COVID-19. However, no significant effect is evident of the market capital MC and net profit NP with the trade volume TV during the first wave of this pandemic. This literature is advantageous for external and internal stakeholders and regulatory bodies. The study is a modest contribution that may help boost the business processes to reach better financial performance in times of unexpected catastrophes.

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