Department Of Financial Administration

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Browsing Department Of Financial Administration by Author "Sharma, Shubham"

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    Reaction of Indian Stock Market to Outbreak of COVID-19: An Empirical Analysis of Extreme Inter-day Movements
    (Sage Publications India Pvt. Ltd, 2023-10-07T00:00:00) Sharma, Dhanraj; Verma, Ruchita; Sam, Shiney; Sharma, Shubham
    The contagious COVID-19 pandemic has been considered a massive global crisis since World War II and has disturbed business and economic activities across the globe. The current study examined the reaction of the stock market�s to the outbreak of COVID-19, considering the extreme inter-day movements in the Indian stock market. The extreme inter-day movements in S&P CNX Nifty-50 have been identified during the study period from January 2020 to December 2021 and further classified into decline and gain events based on positive and negative announcements related to COVID-19. The study utilized an event study approach and panel regression for empirical investigation. The results of the event study analysis illustrate that the significant abnormal loss ranges from 12.86% to 2.47% for the major decline events and significant abnormal return from 8.43% to 3.23% for the gain events. The regression analysis results showed that real return and Central Bank Policy rate have a considerable impact on the abnormal returns during COVID-19. The study�s findings are helpful to policy implications that identified the need to focus on financial education and strengthen the health and finance-related policies to deal with such pandemics in the future. � 2023 MDI.
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    Relationship between Bank-Specific Factors and Non-Performing Assets of Indian Banks during post Global Financial Crisis Era
    (Indian Institute of Finance, 2022-06-01T00:00:00) Verma, Ruchita; Sharma, Dhanraj; Sharma, Shubham; Sam, Shiney
    The study aims to analyze the relationship between Bank-specific factors and Non-Performing Assets (NPAs) of the Indian banks. The sample of the study consists of 21 public sector and 19 private sector banks which accounted for 96.42% of banking operation in India and were continuously in existence for the study period of 10 years i.e. from 2009-10 to 2018-19.The study considered NPAs as dependent variable and used bank-specific indicators as independent variables. The study found concentration of NPAs and advances in public sector banks and higher concentration in private sector bank. Further, based on stability based classification, the study found Induslnd bank; Nainital bank and Yes Bank are the highly unstable banks in Indian banking sector. Using panel data regression approach, the result shows that NPAs can be managed efficiently by improving Return on Assets and Credit Deposit Ratio. � Indian Institute of Finance.