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Stock prices, exchange rate and interest rate: evidence beyond symmetry

Author

Listed:
  • Taufeeq Ajaz
  • Md Zulquar Nain
  • Bandi Kamaiah
  • Naresh Kumar Sharma

Abstract

Purpose - This paper aims to examine the dynamic interactions between monetary and financial variables in the Indian context. Design/methodology/approach - In this paper, the authors have applied a recently developed asymmetric autoregressive distributed lag (ARDL) model by Shinet al.(2014), for detecting nonlinearities focusing on the long-run and short-run asymmetries among economic variables. Findings - The results point toward the presence of asymmetric reaction of stock prices to changes in interest rate and exchange rate in full sample, as well as in pre-crisis. However, no asymmetry was found in the post-crisis period. The results further suggest that tight monetary policies appear to retard the stock prices, more than easy monetary policies that stimulate them. Practical implications - The findings of the study can be helpful in understanding the policy transmission mechanism through asset price channel. Originality/value - To the best of the authors’ knowledge, this is the first study that examines the interactions between monetary and financial variables in the Indian context in an asymmetric framework. The findings of this study are quite interesting and are different from several existing studies in the literature.

Suggested Citation

  • Taufeeq Ajaz & Md Zulquar Nain & Bandi Kamaiah & Naresh Kumar Sharma, 2017. "Stock prices, exchange rate and interest rate: evidence beyond symmetry," Journal of Financial Economic Policy, Emerald Group Publishing Limited, vol. 9(1), pages 2-19, April.
  • Handle: RePEc:eme:jfeppp:jfep-01-2016-0007
    DOI: 10.1108/JFEP-01-2016-0007
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    Citations

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    Cited by:

    1. Afsin Sahin, 2019. "Loom of Symmetric Pass-Through," Economies, MDPI, vol. 7(1), pages 1-25, February.
    2. Li, Huan & Ni, Jinlan & Xu, Yueli & Zhan, Minghua, 2021. "Monetary policy and its transmission channels: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
    3. Abdul RASHID & Aamir JAVED & Zainab JEHAN & Uzma IQBAL, 2022. "Time-Varying Impacts of Macroeconomic Variables on Stock Market Returns and Volatility : Evidence from Pakistan," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 144-166, October.
    4. Shabir Mohsin Hashmi & Bisharat Hussain Chang, 2023. "Asymmetric effect of macroeconomic variables on the emerging stock indices: A quantile ARDL approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 1006-1024, January.
    5. Ahmed, Walid M.A., 2020. "Stock market reactions to domestic sentiment: Panel CS-ARDL evidence," Research in International Business and Finance, Elsevier, vol. 54(C).
    6. Mansoor Alam Khan & Riaz Ahmad & Dr. Muhammad Akram & Hafiz Muhammad Ishaq, 2021. "The Effect Of Macroeconomic Indicators On Stock Market: A Study On Asian Economies," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 10(1), pages 114-127, March.
    7. Omer Ahmed Sayed Mohamed & Faiza Omer Mohammed Elmahgop, 2020. "Is the Effect of the Exchange Rate on Stock Prices Symmetric or Asymmetric? Evidence from Sudan," International Journal of Economics and Financial Issues, Econjournals, vol. 10(2), pages 209-215.

    More about this item

    Keywords

    Monetary policy; Macroeconomics and monetary economics; Time-series models; C22; E52; G10;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

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