Equity option implied volatility skew as a substitute credit risk signal: Evidence from negative rating announcements in India, 2024–2025
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Received February 23, 2026;Accepted May 21, 2026;Published June 11, 2026
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Author(s)Abhishek Chandra ShuklaLink to ORCID Index: https://orcid.org/0009-0005-5542-0568
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Ritesh KhatwaniLink to ORCID Index: https://orcid.org/0000-0001-7044-4748
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Pradip Kumar MitraLink to ORCID Index: https://orcid.org/0000-0002-7291-7630
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Vijay AgrawalLink to ORCID Index: https://orcid.org/0000-0002-0169-8119
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Janki MistryLink to ORCID Index: https://orcid.org/0000-0001-5863-440X
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DOIhttp://dx.doi.org/10.21511/imfi.23(2).2026.28
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Article InfoVolume 23 2026, Issue #2, pp. 379-388
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4 Downloads
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Creative Commons Attribution 4.0 International License
Type of the article: Research Article
Abstract
India’s equity derivative market ranks among the most liquid globally, yet its corporate credit derivative segment remains structurally underdeveloped, leaving the pricing of credit risk largely dependent on periodic assessments by rating agencies. This structural incompleteness raises a fundamental question about where credit-sensitive information is incorporated when formal credit derivative instruments are absent. This study examines whether informed traders utilize equity option implied volatility skew as a substitute channel for pricing credit risk prior to formal rating agency announcements in India. Using a high-frequency cross-sectional event study, we analyze the 25-delta put-call implied volatility (IV) skew across 42 negative credit rating actions – comprising outright downgrades, outlook revisions, and watch-negative placements – for Nifty 500 constituents listed in the NSE Futures and Options segment from January 2024 to November 2025. Cumulative abnormal returns (CARs) are computed using the standard market model with a 250-trading-day estimation window, and a cross-sectional OLS regression with heteroscedasticity-robust (HC3) standard errors is employed to test predictive relationships. The pre-event IV skew widened significantly in the three to five trading days preceding each public announcement, with a mean pre-event skew of 4.20%, markedly above the historical baseline of approximately 2.1%. Cross-sectional regression confirms that the pre-event skew is a robust negative predictor of post-announcement CARs (β = −0.315, t = −3.84, p < 0.001; Adj. R² = 0.389), with each percentage-point increase in pre-event skew corresponding to a 0.315% deeper post-announcement stock decline.
- Keywords
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JEL Classification (Paper profile tab)G14, G12, G13, G24
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References23
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Tables3
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Figures0
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- Table 1. Descriptive statistics
- Table 2. Cross-Sectional Regression of Post-Announcement CAR [0, +2] on Pre-Event IV Skew
- Table A1. Sample of credit events used in the study (N = 42)
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Conceptualization
Abhishek Chandra Shukla, Ritesh Khatwani, Pradip Kumar Mitra, Vijay Agrawal, Janki Mistry
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Data curation
Abhishek Chandra Shukla, Ritesh Khatwani, Pradip Kumar Mitra, Vijay Agrawal, Janki Mistry
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Formal Analysis
Abhishek Chandra Shukla, Ritesh Khatwani, Pradip Kumar Mitra, Vijay Agrawal, Janki Mistry
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Investigation
Abhishek Chandra Shukla, Ritesh Khatwani, Pradip Kumar Mitra, Vijay Agrawal, Janki Mistry
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Methodology
Abhishek Chandra Shukla, Ritesh Khatwani, Pradip Kumar Mitra, Vijay Agrawal, Janki Mistry
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Project administration
Abhishek Chandra Shukla, Ritesh Khatwani, Pradip Kumar Mitra
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Software
Abhishek Chandra Shukla, Ritesh Khatwani, Vijay Agrawal, Janki Mistry
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Supervision
Abhishek Chandra Shukla, Ritesh Khatwani, Pradip Kumar Mitra, Vijay Agrawal, Janki Mistry
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Writing – original draft
Abhishek Chandra Shukla, Ritesh Khatwani, Pradip Kumar Mitra, Vijay Agrawal, Janki Mistry
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Writing – review & editing
Abhishek Chandra Shukla, Ritesh Khatwani, Pradip Kumar Mitra, Vijay Agrawal, Janki Mistry
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Resources
Ritesh Khatwani
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Validation
Ritesh Khatwani, Pradip Kumar Mitra
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Visualization
Ritesh Khatwani
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Conceptualization
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The impact of the COVID-19 outbreak on the Indian stock market – A sectoral analysis
Investment Management and Financial Innovations Volume 18, 2021 Issue #3 pp. 334-346 Views: 9955 Downloads: 4092 TO CITE АНОТАЦІЯThis paper aims to examine the impact of the COVID-19 outbreak on Indian firms listed on the NSE and analyze its impact on various sectors. In addition, a sub-sample analysis based on market capitalization was performed to understand the effect of size during extreme events. The sample consisted of 1,335 firms listed on the NSE India. A standard event study outlined by Brown and Warner (1985) was employed to analyze the price impact on the COVID-19 outbreak. The event windows from -10 days to +10 days were selected. The estimation window is 250 days. The Nifty 50 has been chosen as a proxy for market return. The sample firms witnessed a negative impact of the COVID-19 outbreak with a negative CAAR in different event windows. In addition, various sectors are classified according their responsiveness towards the COVID-19 outbreak into three groups: highly negatively affected, moderately negatively affected, and slightly negatively affected. The paper also points out that the pandemic substantially affects the above-median market capitalized firms than the below-median market capitalized firms, which contradicts the size effect phenomenon. The results assist shareholders in managing their portfolios and mitigate the systematic risk of their investments during extreme events such as a pandemic, wars, and others. This study is the first comprehensive analysis of the impact of the COVID-19 outbreak on different sectors in India. It is also the first study to investigate the size effect anomalies during extreme events.
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Selection of the right proxy market portfolio for CAPM
Investment Management and Financial Innovations Volume 18, 2021 Issue #3 pp. 16-26 Views: 5377 Downloads: 2011 TO CITE АНОТАЦІЯThe purpose of the paper is to select the right market proxy for calculating the expected return, since critically evaluating proxies or selecting the correct proxy market portfolio is essential for portfolio management because the change in the market portfolio proxy affects returns. In this study, monthly data of equity indices are evaluated to find out the better market proxy. The indices taken are BSE 30 (Sensex), Nifty 50, BSE 100, BSE 200, and BSE 500. The macroeconomic variables used in the study are industrial production index (IIP), consumer price index (CPI), money supply (M1), and exchange rate in India. To avoid the influence of COVID-19, the research period was from January 2013 to December 2019 to critically evaluate these proxies in order to find the most appropriate market proxy. This paper reveals a noteworthy relationship between stock market returns and macroeconomic factors, while suggesting that the BSE 500 is a better choice for all equity indices, as the index also shows a significant relationship with all macroeconomic variables. BSE500 is a composite index comprising all sectors with low, mid and large cap securities, therefore it reflects the impact of macroeconomic factors most efficiently, taking it as a market proxy. This study was carried out in the context of India and can be replicated for other countries.
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Impact of corporate governance mechanisms on financial reporting quality: a study of Indian GAAP and Indian Accounting Standards
Faozi A. Almaqtari
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Abdulwahid Abdullah Hashed
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Mohd Shamim
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Waleed M. Al-ahdal
doi: http://dx.doi.org/10.21511/ppm.18(4).2020.01
Problems and Perspectives in Management Volume 18, 2020 Issue #4 pp. 1-13 Views: 5344 Downloads: 1138 TO CITE АНОТАЦІЯThe present study examines the impact of corporate governance mechanisms on financial reporting quality under Indian GAAP and Indian Accounting Standards (Ind. AS). A sample of 97 companies listed on the Bombay Stock Exchange is selected. Corporate governance mechanisms have been considered as independent variables, and financial reporting quality is the dependent variable. Corporate governance is measured by board effectiveness (board size, independence, diligence, and expertise), audit committee attributes (size, independence, diligence, and expertise), foreign ownership, and audit quality. Descriptive statistics, correlation, and OLS regression are conducted to estimate the results. The study results reveal that board characteristics and audit committee attributes, except for audit committee diligence, have a significant effect on financial reporting quality. However, the impact of board diligence and audit committee attributes is negative. Foreign ownership has no contribution to financial reporting quality, but audit quality has a significant effect. The findings of the study have considerable implications for regulators, policymakers, managers, investors, analysts, and academicians. More emphasis should be given to compliance with Ind. AS, and an oversight body for compliance with Ind. AS should be established.
Acknowledgment
This publication was supported by Deanship of Scientific Research, Prince Sattam Bin Abdulaziz University, Alkharj, Saudi Arabia.

