Mandal, Nivedita and Das, Rituparna (2022): Price Discovery Efficiency and Resilience of Financial Futures - A Case Study of Indian Banking Sector.
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Abstract
India has proven to be the second most attractive emerging market among other large emerging economies in world. S&P has predicted India to be the one among fastest growing emerging markets in FY’22. According to Morgan Stanley report, banking is found to be the dominant sector in most of the emerging markets. Hence the banking sector in an emerging economy like India has the potential to attract fresh investment, so as their financial derivatives instruments. In this backdrop, the present work explores the price discovery mechanism between futures and spot markets in particular to Indian banking industry to bring forth sector specific insights. Alongside the paper tries to capture the impact of global slowdown due to Covid-19 pandemic during 2020-21on the Indian banking industry to check for its ‘resilience’ which is always a major concern for any emerging markets. The authors have used Bi-variate VEC-EGARCH framework to examine the price-discovery mechanism in the Bank-Nifty futures and spot markets. The short run impact of Covid-19 shock is measured with help of the ‘market model’ under ‘event study’ methodology.
Item Type: | MPRA Paper |
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Original Title: | Price Discovery Efficiency and Resilience of Financial Futures - A Case Study of Indian Banking Sector |
Language: | English |
Keywords: | Bank-Nifty, Covid-19, Emerging Markets; Financial Futures; Price Discovery; Resilience, E-GARCH, Granger Causality, VAR, ECM |
Subjects: | G - Financial Economics > G1 - General Financial Markets > G12 - Asset Pricing ; Trading Volume ; Bond Interest Rates G - Financial Economics > G1 - General Financial Markets > G17 - Financial Forecasting and Simulation |
Item ID: | 112844 |
Depositing User: | Dr. Rituparna Das |
Date Deposited: | 05 Mar 2023 14:18 |
Last Modified: | 05 Mar 2023 14:18 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/112844 |