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COVID-19 and CAPM: a tale of reference dependence with the pharma stocks’ returns

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  • Paritosh Chandra SINHA

    (Rabindra Mahavidyalaya, India)

  • Pooja AGARWAL

    (Burdwan University, India)

Abstract

Given the sustained attention to COVID-19, we explore if a reference dependent version of the CAPM has a good explanatory power. It views the CAPM with the prospect theory references - certainty effect, reflection effect and isolation effect. It firstly follows a linear prospect theory version of the CAPM, then, it extends that with the autoregressive distributed lag (ARDL) model, and finally, it augments them in the generalized autoregressive conditional heteroskedastic (GARCH-X) setup. It views the risk-free rate and market rate of returns as the certainty effect and reflection effect respectively while the lagged endogenous returns and the ARCH and GARCH effects as the isolation effects. With the NSE listed pharma-stocks’ data during COVID-19, pre- COVID-19 and both periods together, the prospect theory references depict that investors can build up different implications of the CAPM. With certainty effect, the prospect theory version of CAPM has less explanatory power while with reflection effect, the same has good explanatory power with the sample stocks over the data sets but it does not explain the isolation effects at all. Investors may re-look into that the CAPM if calibrated with the prospect theory references at ARDL and GARCHX augmentations, it provides better explanatory powers.

Suggested Citation

  • Paritosh Chandra SINHA & Pooja AGARWAL, 2021. "COVID-19 and CAPM: a tale of reference dependence with the pharma stocks’ returns," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(2(627), S), pages 45-82, Summer.
    • Handle: RePEc:agr:journl:v:2(627):y:2021:i:2(627):p:45-82
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    1. Ladislav Kristoufek, 2012. "Fractal Markets Hypothesis And The Global Financial Crisis: Scaling, Investment Horizons And Liquidity," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 15(06), pages 1-13.
    2. Tahmina Akhter & Othman Yong, 2019. "Adaptive market hypothesis and momentum effect: Evidence from Dhaka Stock Exchange," Cogent Economics & Finance, Taylor & Francis Journals, vol. 7(1), pages 1650441-165, January.
    3. Faten Lakhal, 2008. "Stock market liquidity and information asymmetry around voluntary earnings disclosures," International Journal of Managerial Finance, Emerald Group Publishing Limited, vol. 4(1), pages 60-75, January.
    4. Haim Levy & Enrico De Giorgi & Thorsten Hens, "undated". "Two Paradigms and Nobel Prizes in Economics: A Contradiction or Coexistence?," IEW - Working Papers 161, Institute for Empirical Research in Economics - University of Zurich.
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