Dr Pankaj Sharma
@scmhrd.edu
Associate Professor
Symbiosis Center for Management and Human resource Development
EDUCATION
PhD, MMS, LL.B.
RESEARCH INTERESTS
Sustainable Finance, Financial Risk, Financial Analysis, Financial Reporting
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Manisha J. Sanghvi, Pankaj Sharma, and Arti Chandani
SAGE Publications
The derivatives market is an important asset class and has been found to positively contribute to economic development. It has sparked interest from researchers, policymakers and financial agencies. This article aims to present a literature review that explains the motive of individual investors to trade in equity derivatives. Studies from 1997 to 2023 were extracted from SCOPUS, Emerald and Web of Science using the keywords, and articles were later refined with their motive, research methodology, source of data, journal, year of publication, country-wise articles published and publication source to explore the opportunities for further research. VOS viewer has been used to visualize the author keyword and link among various keywords. This study reviews 51 articles, which were found relevant and have been segregated theme-wise. The motives of investors are categorized as ‘Hedging vs. speculation’, ‘Return vs. risk’ and ‘Gambling’. The findings of the study show that most of the studies are conducted in the USA using discount house data and most of the articles were published in the Journal of Banking and Finance. The findings of the study will be useful to the researchers, practitioners, stock exchanges and regulators by providing the current landscape of the body in this domain.
Priyam Pandey and Pankaj Sharma
AIP Publishing
Pooja Adhikari and Pankaj Sharma
AIP Publishing
Pranay Deshmukh and Dipasha Sharma
University of Wollongong Library
This paper aims to examine and compare the effect of black swan events on the performance of companies with strong Environmental, Social, and (Corporate) Governance (ESG) backgrounds with that of other companies. Compared to established firms, companies with ESG backgrounds are perceived to be stable that will help them outperform established companies that are volatile during times of crisis. This research focuses on SENSEX for conventional market index and BSE GREEENEX and S&P BSE CARBONEX for ESG indices. We evaluated performances of the three indices during U.S. Debt Ceiling Crisis (201112), Black Monday China, BREXIT and Demonetization (2015-16), and COVID-19 (2020) crisis. We checked whether ESG indices outperformed conventional index significantly using Student's T-test. We have also compared the volatility of the three indices during the different black swan periods using the GARCH model.
Anonymization is a device of hiding the information to any such degree, that an unlawful customer couldn't get whatever from the information, of direction an analyzer will get vital data[4].The term records privacy is associated with data accumulating and allotment of information. Safety issues rise in exceptional sector, as an instance, human administrations, financial institution place, web based totally definitely existence data,and so forth.It's miles one of the difficult troubles while sharing or disseminating the data among one to numerous hotspots for research cause and records evaluation[2].Many affiliations moreover launch huge scaled down scale data. It bars an person's brief identity marks like call, cope with and contain specific facts like intercourse, DOB, marital repute, Pin-code, which can be united with other open information to see a person[3]. This derivation ambush may be endeavored you purchased any sensitive facts from informal community put together, with the useful resource of that putting the security of a person in risk. To save you such ambushes through way of converting littler scale facts, k-anonymization is used. In this paper, we provide a computational advent technique to releasing records from a personal desk with the last intention that the identity of any character to whom the released information mean can't be virtually recognized[1]. It's far based upon the difficulty of hypothesis, from which set away developments may be superseded with dependable but much much less unequivocal alternatives, and of ok-loss of clarity