HomeParthajit Kayal

Parthajit Kayal

Dr. Parthajit Kayal

Dr. Parthajit Kayal

Assistant Professor

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  • Profile
  • Publications
  • Teaching
  • Current Research
  • Ph.D. in Finance, Institute for Financial Management & Research (IFMR)
  • M. Sc. in Economics, Madras School of Economics
  • B.Sc. (Hons) in Economics, Ramakrishna Mission Vidyamandira, University of Calcutta
Journals
  1. Chaudhuri, I. and Kayal, P., 2020. Predicting Power of Ticker Search Volume in Indian Stock Market, IIMB Management Review. Forthcoming.
  2. Kayal, P. and Balasubramanian, G., 2020. Excess Volatility in Bitcoin: Extreme Value Volatility Estimation, IIM Kozhikode Society and Management Review. Forthcoming.
  3. Kayal, P., Dutta, S., Khandelwal, V., and Nigam, R., 2020. Information Theoretic Ranking of Extreme Value Returns, Journal of Quantitative Economics. Forthcoming.
  4. Sen, S. and Kayal, P., 2020. Indian Premier League (IPL) Match Victory and Sponsors’ Stock Returns, Journal of Public Affairs. Forthcoming.
  5. Kayal, P., and Mondal, S., 2020. Speed of Price Adjustment in Indian Stock Market: A Paradox, Asia-Pacific Financial Markets. 27, 453–476.
  6. Kayal, P., and Maheswaran, S., 2019. A Study of Excess Volatility of Gold and Silver, IIMB Management Review. Forthcoming
  7. Sharma, G., Kayal, P., and Pandey, P., 2019. Information Linkages amongst BRICS countries: Empirical Evidence from Implied Volatility Indices, Journal of Emerging Market Finance. 18(3): 263-289.
  8. Kayal, P., and Maheswaran, S., 2018. Speed of Price Adjustment towards Market Efficiency: Evidence from Emerging Countries. Journal of Emerging Market Finance, 17(1_suppl): S112-S135.
  9. Kayal, P., and Maheswaran, S., 2017. Is USD-INR Really an Excessively Volatile Currency Pair. Journal of Quantitative Economics, 15(2): 329-342.
  10. Maiti, M., and Kayal, P., 2017. Digitization: It’s Impact on Economic Development & Trade. Asian Economic and Financial Review, 7(6): 541-549.
Book Chapter:
  1. Kayal, P., and Maheswaran, S., 2018. Leverage Effect and Volatility Asymmetry. In Current Issues in Economics and Finance. Springer, Singapore.
Working Papers:
  1. Chebolu-Subramanian, V., Kayal, P., Mathur, P., and Khan, T., 2019. Product Recalls in India and the Impact on Stock Prices. IFMR GSB Working Paper WP19-03.
  2. Kayal, P., and Rohilla, P., 2019. Bitcoin in the Literature of Economics and Finance: A Survey. Available at SSRN 3441652.
News Paper Articles:
  1. Kayal, P., 2020. How much portfolio diversification is too much? Financial Express, 16 September.
  2. Kayal, P., 2020. How to pick an equity fund that’s right in bad times, Financial Express, 9 September.
  3. Kayal, P. and Venkataramani, R., 2020. SIP vs lump sum mutual fund investment: Know which works best and when, Financial Express, 31 August.
  4. SG, J. S. and Kayal, P., 2020. Invest in quality stocks, Hindu Business Line, 26 August.
  5. Kayal, P. and SG, J. S., 2020. How to choose a winning portfolio of stocks, Financial Express, 24 August.
  6. Kayal, P., 2020. Five financial lessons from the current Covid pandemic, Financial Express, 17 August.
  7. Kayal, P., 2020. Mutual Funds: Choose direct plans over regular plans, Financial Express, 7 August.
  8. Kayal, P., 2020. Gold investing is not for everyone – here’s why, Financial Express, 10 July.
  9. Chebolu-Subramanian, V., and Kayal, P., 2019. Consumers deserve better product-recall norms, The Hindu Business Line, 5 August.
Other Articles:
  1. Jena, D. and Kayal, P., 2020. Rethinking Technology and Jobs in the times of Covid-19, CASPR Economic Review, 30 August
  2. Kayal, P., 2020. Reviving the economy requires a balanced policy approach, Trade Promotion Council of India, 18 June.
  3. Kayal, P., 2020. India must start mass testing for Covid-19 with greater speed, Trade Promotion Council of India, 27 March.
 
  • Asset Pricing I
  • Asset Pricing II
  • Financial Mathematics
  • Programming & Data Structures
  • Financial Regulations & Banking Supervision
  • Risk Management Theories & Practice
  • Microeconomics II
  • Financial Markets and Investing
  • Extreme Value Volatility Estimation