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Stock return-inflation nexus; revisited evidence based on nonlinear ARDL

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  • Huthaifa Alqaralleh

Abstract

Understanding the Stock Return-Inflation Nexus is a continuing concern among scholars. The main goal of the current study was to critically examine the view that the relation between stock return and inflation is potentially asymmetric. To capture the possibility of dynamic nonlinearity and, in turn, asymmetry, the nonlinear Autoregressive Distributed lag model (NARDL) was deployed. This study has identified that the responses of stock return are generally asymmetric. In other words, the results suggest that contractionary time appears to reduce the stock returns more than expansionary time does.

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  • Huthaifa Alqaralleh, 2020. "Stock return-inflation nexus; revisited evidence based on nonlinear ARDL," Journal of Applied Economics, Taylor & Francis Journals, vol. 23(1), pages 66-74, January.
    • Handle: RePEc:taf:recsxx:v:23:y:2020:i:1:p:66-74
    DOI: 10.1080/15140326.2019.1706828
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    Cited by:

    1. Vasilii Erokhin & Tianming Gao, 2020. "Impacts of COVID-19 on Trade and Economic Aspects of Food Security: Evidence from 45 Developing Countries," IJERPH, MDPI, vol. 17(16), pages 1-28, August.
    2. Sarit Maitra, 2023. "Impact of Economic Uncertainty, Geopolitical Risk, Pandemic, Financial & Macroeconomic Factors on Crude Oil Returns -- An Empirical Investigation," Papers 2310.01123, arXiv.org, revised Oct 2023.
    3. Gao Tianming & Vasilii Erokhin & Aleksandr Arskiy & Mikail Khudzhatov, 2021. "Has the COVID-19 Pandemic Affected Maritime Connectivity? An Estimation for China and the Polar Silk Road Countries," Sustainability, MDPI, vol. 13(6), pages 1-39, March.
    4. Izunna Chima Anyikwa & Lehlohonolo Domela, 2022. "Asymmetric effects of exchange rate volatility on trade flows in BRICS economies," Studies in Economics and Econometrics, Taylor & Francis Journals, vol. 46(3), pages 224-247, July.
    5. Memon, Bilal Ahmed & Yao, Hongxing & Naveed, Hafiz Muhammad, 2022. "Examining the efficiency and herding behavior of commodity markets using multifractal detrended fluctuation analysis. Empirical evidence from energy, agriculture, and metal markets," Resources Policy, Elsevier, vol. 77(C).
    6. Sarit Maitra & Vivek Mishra & Sukanya Kundu & Manav Chopra, 2023. "Econometric Model Using Arbitrage Pricing Theory and Quantile Regression to Estimate the Risk Factors Driving Crude Oil Returns," Papers 2309.13096, arXiv.org, revised Oct 2023.
    7. Bouzgarrou, Houssam & Ftiti, Zied & Louhichi, Waël & Yousfi, Mohamed, 2023. "What can we learn about the market reaction to macroeconomic surprise? Evidence from the COVID-19 crisis," Research in International Business and Finance, Elsevier, vol. 64(C).

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