IDEAS home Printed from https://ideas.repec.org/a/spr/jqecon/v15y2017i3d10.1007_s40953-016-0065-0.html
   My bibliography  Save this article

Fisher’s Effect: An Empirical Examination Using India’s Time Series Data

Author

Listed:
  • Jamaladeen Abubakar

    (University of Madras)

  • K. Jothi Sivagnanam

    (University of Madras)

Abstract

The study examines the Fisher’s hypothesis using India’s macroeconomic data with main objective of ascertaining the empirical relationship between nominal interest rate and expected inflation. The study collected monthly time series data on interest rate (lending rate) and CPI growth rate (inflation) from Reserve Bank of India’s database spanning from 1990M01 to 2015M03. To achieve the objective, the study first examined the univariate stochastic properties of the series using test that assumed the presence of structural: Zivot and Andrews (J Bus Econ Stat 10(3):251–270, 1992) and Perron (J Econ 80:355–385, 1997) on one hand and those that assumed no break: Elliot et al. (Econometrica 64:813–836, 1996) and Kwiatkowski et al. (J Econom 54:159–178, 1992) on the other hand. The result for the univariate stochastic properties revealed that inflation is level stationary whereas lending rate is differenced stationary. This finding is consistent with the two tests considered as mentioned above. To examined the Fisher’s effect, given the result of the univariate stochastic properties, the study checked the multivariate counterpart using test that assumed break; Gregory and Hensen (J Econom 70:99–126, 1996) and the one that assumed no break; Pesaran et al. (J Appl Econom 16:289–326, 2001). The result reveals the absence of long run equilibrium between nominal interest rate and inflation for the full and sub-samples which is against Fisher’s proposition. This finding can be attributed to the following reasons: firstly, the conduct of monetary policy by RBI is passive; that is, the policy rate response less than proportionate to change in inflation. Secondly, the presence of distortion in the interest rate pass-through channel makes the sign, speed and magnitude of monetary policy uncertain and finally, the dominant of informal financial sector in India that makes short term policy rate ineffective monetary policy instrument. Therefore the study concludes that the conduct of monetary policy is responsible for the rejection of Fisher’s hypothesis in India.

Suggested Citation

  • Jamaladeen Abubakar & K. Jothi Sivagnanam, 2017. "Fisher’s Effect: An Empirical Examination Using India’s Time Series Data," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 15(3), pages 611-628, September.
    • Handle: RePEc:spr:jqecon:v:15:y:2017:i:3:d:10.1007_s40953-016-0065-0
    DOI: 10.1007/s40953-016-0065-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40953-016-0065-0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s40953-016-0065-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Feldstein, Martin, 1980. "Tax Rules and the Mismanagment of Monetary Policy," American Economic Review, American Economic Association, vol. 70(2), pages 182-186, May.
    2. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    3. Perron, Pierre, 1997. "Further evidence on breaking trend functions in macroeconomic variables," Journal of Econometrics, Elsevier, vol. 80(2), pages 355-385, October.
    4. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    5. Martin D. D. Evans & Karen K. Lewis, 2017. "Do Long-Term Swings in the Dollar Affect Estimates of the Risk Premia?," World Scientific Book Chapters, in: Studies in Foreign Exchange Economics, chapter 3, pages 59-99, World Scientific Publishing Co. Pte. Ltd..
    6. Gregory, Allan W. & Hansen, Bruce E., 1996. "Residual-based tests for cointegration in models with regime shifts," Journal of Econometrics, Elsevier, vol. 70(1), pages 99-126, January.
    7. Paul, M. Thomas, 1984. "Interest rates and the fisher effect in India : An empirical study," Economics Letters, Elsevier, vol. 14(1), pages 17-22.
    8. Darby, Michael R, 1975. "The Financial and Tax Effects of Monetary Policy on Interest Rates," Economic Inquiry, Western Economic Association International, vol. 13(2), pages 266-276, June.
    9. Zivot, Eric & Andrews, Donald W K, 2002. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 25-44, January.
    10. Crowder, William J & Hoffman, Dennis L, 1996. "The Long-Run Relationship between Nominal Interest Rates and Inflation: The Fisher Equation Revisited," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 28(1), pages 102-118, February.
    11. Mishkin, Frederic S, 1992. "Anatomy of a Financial Crisis," Journal of Evolutionary Economics, Springer, vol. 2(2), pages 115-130, August.
    12. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    13. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    14. Perron, Pierre, 1989. "The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis," Econometrica, Econometric Society, vol. 57(6), pages 1361-1401, November.
    15. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-836, July.
    16. Thomas J. Sargent, 1969. "Commodity Price Expectations and the Interest Rate," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 83(1), pages 127-140.
    17. Junsoo Lee & Mark C. Strazicich, 2003. "Minimum Lagrange Multiplier Unit Root Test with Two Structural Breaks," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 1082-1089, November.
    18. N R Bhanumurthy & Shashi Agarwal, 2003. "Interest - Rate Price Nexus in India," Indian Economic Review, Department of Economics, Delhi School of Economics, vol. 38(2), pages 189-203, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Masudul Hasan Adil & Shadab Danish & Sajad Ahmad Bhat & Bandi Kamaiah, 2020. "Fisher Effect: An Empirical Re-examination in Case of India," Economics Bulletin, AccessEcon, vol. 40(1), pages 262-276.
    2. Swapnil Suryavanshi, 2023. "A study of Fisher Effect in India," Indian Economic Review, Springer, vol. 58(2), pages 485-503, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Masudul Hasan Adil & Shadab Danish & Sajad Ahmad Bhat & Bandi Kamaiah, 2020. "Fisher Effect: An Empirical Re-examination in Case of India," Economics Bulletin, AccessEcon, vol. 40(1), pages 262-276.
    2. Sonali Das & Rangan Gupta & Patrick Kanda & Monique Reid & Christian Tipoy & Mulatu Zerihun, 2014. "Real interest rate persistence in South Africa: evidence and implications," Economic Change and Restructuring, Springer, vol. 47(1), pages 41-62, February.
    3. Ogali, Oscar I.O. & Okoro, Emeka E. & Olafuyi, Saburi G., 2023. "Assessing consensus on nexus between natural gas consumption and economic growth," Renewable and Sustainable Energy Reviews, Elsevier, vol. 187(C).
    4. Brittle, Shane, 2009. "Ricardian Equivalence and the Efficacy of Fiscal Policy in Australia," Economics Working Papers wp09-10, School of Economics, University of Wollongong, NSW, Australia.
    5. Jeng-Bau Lin & Chin-Chia Liang & Wei Tsai, 2019. "Nonlinear Relationships between Oil Prices and Implied Volatilities: Providing More Valuable Information," Sustainability, MDPI, vol. 11(14), pages 1-15, July.
    6. David Greasley & Les Oxley, 2010. "Cliometrics And Time Series Econometrics: Some Theory And Applications," Journal of Economic Surveys, Wiley Blackwell, vol. 24(5), pages 970-1042, December.
    7. Chiappini, Raphaël & Jégourel, Yves & Raymond, Paul, 2019. "Towards a worldwide integrated market? New evidence on the dynamics of U.S., European and Asian natural gas prices," Energy Economics, Elsevier, vol. 81(C), pages 545-565.
    8. Charfeddine, Lanouar & Ben Khediri, Karim, 2016. "Financial development and environmental quality in UAE: Cointegration with structural breaks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 1322-1335.
    9. Mariana Hatmanu & Cristina Cautisanu & Mihaela Ifrim, 2020. "The Impact of Interest Rate, Exchange Rate and European Business Climate on Economic Growth in Romania: An ARDL Approach with Structural Breaks," Sustainability, MDPI, vol. 12(7), pages 1-23, April.
    10. Aviral Tiwari & Muhammad Shahbaz, 2014. "Revisiting Purchasing Power Parity for India using threshold cointegration and nonlinear unit root test," Economic Change and Restructuring, Springer, vol. 47(2), pages 117-133, May.
    11. John D. Levendis, 2018. "Time Series Econometrics," Springer Texts in Business and Economics, Springer, number 978-3-319-98282-3, October.
    12. Md. Shahiduzzaman & Khorshed Alam, 2014. "A reassessment of energy and GDP relationship: the case of Australia," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 16(2), pages 323-344, April.
    13. Kyriakos Emmanouilidis & Christos Karpetis, 2020. "The Defense–Growth Nexus: A Review of Time Series Methods and Empirical Results," Defence and Peace Economics, Taylor & Francis Journals, vol. 31(1), pages 86-104, January.
    14. Chowdhury, Khorshed, 2012. "Modelling the dynamics, structural breaks and the determinants of the real exchange rate of Australia," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(2), pages 343-358.
    15. A. Oznur Umit & H. Isil Alkan, 2016. "The Effects of Foreign Direct Investments and Economic Growth on Employment and Female Employment: A Time Series Analysis With Structural Breaks For Turkey," International Journal of Business and Economic Sciences Applied Research (IJBESAR), International Hellenic University (IHU), Kavala Campus, Greece (formerly Eastern Macedonia and Thrace Institute of Technology - EMaTTech), vol. 9(3), pages 43-49, December.
    16. Dakpogan, Arnaud & Smit, Eon, 2018. "The effect of electricity losses on GDP in Benin," MPRA Paper 89545, University Library of Munich, Germany.
    17. Senay ACIKGOZ & Anil AKCAGLAYAN, 2014. "Turkiye’de Cari Islemler Aciginin Surdurulebilirligi," Ege Academic Review, Ege University Faculty of Economics and Administrative Sciences, vol. 14(1), pages 83-97.
    18. Fatih Kaplan & Ayşe E. Ünal, 2020. "Industrial Production Index - Crude Oil Price Nexus: Russia, Kazakhstan And Azerbaijan," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 65(227), pages 119-142, October –.
    19. Christou, Christina & Gupta, Rangan & Nyakabawo, Wendy & Wohar, Mark E., 2018. "Do house prices hedge inflation in the US? A quantile cointegration approach," International Review of Economics & Finance, Elsevier, vol. 54(C), pages 15-26.
    20. Adewuyi, Adeolu O. & Ogebe, Joseph O., 2019. "The validity of uncovered interest parity: Evidence from african members and non-member of the organisation of petroleum exporting countries (OPEC)," Economic Modelling, Elsevier, vol. 82(C), pages 229-249.

    More about this item

    Keywords

    Unit root; Co-integration; Fisher’s effect; Inflation; Interest rate;
    All these keywords.

    JEL classification:

    • E5 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:jqecon:v:15:y:2017:i:3:d:10.1007_s40953-016-0065-0. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.