Skip to main content
Log in

Fisher’s hypothesis, survey-based expectations and asymmetric adjustments: Empirical evidence from South Africa

  • Original Paper
  • Published:
International Economics and Economic Policy Aims and scope Submit manuscript

Abstract

Our study re-examines Fisher’s hypothesis for the South African economy in the post-inflation targeting era and presents two empirical novelties over preceding works for the same country. Firstly, we examine Fisher effect by making use of survey-based inflation expectations data for financial analysts, business sector, trade unions and households, hence making our study more disaggregate in nature. Secondly, we examine both short-run and long-run asymmetric cointegration effects in Fisher’s relation using the nonlinear autoregressive distributive lag (NARDL) model as an econometric framework. For the full quarterly sample of 2002:01 – 2019:04, our study finds interest rates respond more aggressively to falling expectations than rising ones, with a full Fisher effect found for financial analysts, partial effects for households and business, and no effect for trade unions. However, when the data is split into two sub-samples corresponding to pre- and post-financial crisis periods, we observe changing dynamics in which interest rates respond more aggressively to rising inflation, with partial effects being also found for trade unions. Policy recommendations based on our study are offered.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

References

  • Ahmad S (2010) Fisher effect in nonlinear STAR framework: Some evidence from Asia. Economics Bulletin 30(4):2558–2566

    Google Scholar 

  • Aron J, Mellbauer J (2007) Review of monetary policy in South Africa since 1994. J Afr Econ 16(5):705–744

    Article  Google Scholar 

  • Bahmani-Oskooee J-P, Chang, (2016) Revisiting fisher equation in BRICS countries. Journal of Global Economics 4(3):1–3

    Google Scholar 

  • Bajo-Rubio O, Diaz-Roldan C, Esteve V (2005) Is the fisher effect nonlinear? Some evidence for Spain. Applied Financial Economics 15(12):849–854

  • Bayat T, Kayhan S, Tasar I (2018) Re-visiting fisher effect for fragile five economies. Journal of Central Banking Theory and Practice 7(2):203–218

  • Balke N, Fomby T (1997) Threshold cointegration. Int Econ Rev 38:627–646

    Article  Google Scholar 

  • Bec F, Ben-Salam M, Collard F (2002) Asymmetries in monetary policy reaction functions: Evidence from US, French and German Central Banks. Stud Nonlinear Dyn Econom 6(2):1–22

    Google Scholar 

  • Bond M, Somlen G (1992) The Fisher effect: Inverted or not. Review of Business and Economic Research 23(1):58–63

    Google Scholar 

  • Coakley J, Fuertes A (2002) Asymmetric dynamics in UK real interest rates. Applied Financial Economics 12:379–387

    Article  Google Scholar 

  • Choi I, Saikkonen P (2004) Testing linearity in cointegrating smooth transition regressions. Econometrics Journal 7(2):341–365

    Article  Google Scholar 

  • Christopoulos and Leon-Ledesma (2007) A Long-Run Non-Linear Approach to the Fisher Effect. J Money, Credit, Bank 39(2–3):543–559

    Article  Google Scholar 

  • Darby M (1975) The financial and tax effect of monetary policy on interest rates. Econ Inq 13(2):226–276

    Article  Google Scholar 

  • Darin R, Hetzel R (1995) An empirical measure of the real rate of interest. Federal Reserve Bank of Richmond Economic Quarterly 81:17–47

    Google Scholar 

  • Dolado J, Maria-Dolores R, Naviera M (2005) Are monetary policy reaction functions asymmetric: The role of nonlinearity in the Phillips curve. Eur Econ Rev 49(2):485–503

    Article  Google Scholar 

  • Du Plessis S, Reid M, Siklos P (2018) What drives household inflation expectations in South Africa? Demographics and anchoring under inflation targeting, Centre for Applied Macroeconomic Analysis (CAMA), Working Paper No. 48–2018

  • Dutt S, Ghosh D (2007) A threshold cointegration test of Fisher hypothesis: Case study of 5 European nations. Southwestern Economic Review 314:41–50

    Google Scholar 

  • Enders W, Granger C (1998) Unit-root tests and asymmetric adjustment with an example using the term structure of interest rates. Journal of Business and Economics Statistics 16(3):304–311

    Google Scholar 

  • Enders W, Siklos P (2001) Cointegration and threshold adjustments. Journal of Business and Economics Statistics 19(2):166–176

    Article  Google Scholar 

  • Evans M, Lewis K (1995) Do expected shifts in inflation affect estimates of the long-run Fisher relation? Journal of Finance 50(1):225–253

    Article  Google Scholar 

  • Feldstein M (1976) Inflation, income taxes, and the rate of interest: theoretical analysis. America Economic Review 66(5):809–820

    Google Scholar 

  • Fisher I (1930) "The rate of interest", New York: Macmillian

  • Fouquau J, Hurlin C, I. Rabaud I. (2008) The Feldstein-Horioka puzzle: A panel smooth transition regression approach. Econ Model 25(2):284–299

    Article  Google Scholar 

  • González A, Teräsvirta T, Van Dijk D (2005) Panel smooth transition regression model. Working Paper Series in Economics and Finance, No. 604

  • Gibson W (1972) Interest rates and inflationary expectations: New evidence. American Economic Review 62(5):854–865

    Google Scholar 

  • Hansen B, Seo B (2002) Testing for two-regime threshold cointegration in vector error correction models. Journal of Econometrics 110(2):293–318

    Article  Google Scholar 

  • Johansen S, Juselius K (1990) Maximum likelihood estimation and inferences on cointegration with applications to the demand for money. Oxford Bull Econ Stat 52:169–210

    Article  Google Scholar 

  • Kabundi A, Schaling E, Some M (2015) Monetary policy and heterogenous inflation expectations in South Africa. Econ Model 45:109–117

    Article  Google Scholar 

  • Kaliva K (2008) The Fisher effect, survey data and time-varying volatility. Empirical Economics 35(1):1–10

    Article  Google Scholar 

  • Kim D, Osborn D, Sensier M (2005) Nonlinearity in the Fed’s monetary policy rule. J Appl Economet 20:621–639

    Article  Google Scholar 

  • Kim L, Hsieh, and Suen, (2018) The Fisher Equation: A Nonlinear Panel Data Approach. Emerg Mark Financ Trade 54(1):162–180

    Article  Google Scholar 

  • Lai K (1997) Is the real interest rate unstable? Some new evidence. Appl Econ 29(3):359–364

    Article  Google Scholar 

  • Leshoro T (2018) Trade unions inflation expectations and second round effect in South Africa. PSL Quarterly Review 71(284):85–94

    Google Scholar 

  • Li J, Lee J (2010) Single-equation ADL test for threshold cointegration. J Time Ser Anal 79(1):1–24

    Google Scholar 

  • Lo M, Zivot E (2001) Threshold cointergration and nonlinear adjustment to the law of one price. Macroecon Dyn 5(4):533–576

    Article  Google Scholar 

  • Maki, (2005) Asymmetric adjustment of the equilibrium relationship between nominal interest rate and inflation rate. Economics Bulletin 3(9):1–8

    Google Scholar 

  • Million N (2004) Central Bank interventions and the Fisher hypothesis: A threshold cointegration investigation. Econ Model 21(6):1051–1064

    Article  Google Scholar 

  • Mitchell-Innes H, Aziakpono M, Faure A (2007) Inflation targeting and the Fisher effect in South Africa: An empirical investigation. South African Journal of Economics 75(4):693–707

    Article  Google Scholar 

  • Miyajima K, Yetman J (2019) Assessing inflation expectations anchoring of heterogenous agents: Analysts, business and trade unions. Appl Econ 51(41):4499–4515

    Article  Google Scholar 

  • Nusair, (2009) Non-linear Co-Integration between Nominal Interest Rates and Inflation: An Examination of the Fisher Hypothesis for Asian Countries. Glob Econ Rev 38(2):143–159

    Article  Google Scholar 

  • Ongan S, Gocer I (2018a) Interest rates, inflation and partial Fisher effects under nonlinearity: Evidence from Canada. Economics Bulletin 38(4):1957–1969

    Google Scholar 

  • Ongan S, Gocer I (2018b) Re-considering the Fisher equation for South Korea in the application of nonlinear and linear ARDL models. Quantitative Finance and Economics 3(1):75–87

    Google Scholar 

  • Ongan S, Gocer I (2020) Testing Fisher effect for the USA: Application of nonlinear ARDL model. Journal of Financial Economic Policy 12(2):293–304

    Article  Google Scholar 

  • Pesaran M, Shin Y, Smith R (2001) Bounds testing approaches to the analysis of level relationships. J Appl Economet 16(3):289–326

    Article  Google Scholar 

  • Peek J, Wilcox J (1983) The postwar stability of the Fisher effect. Journal of Finance 38(4):1111–1124

    Article  Google Scholar 

  • Phiri and Lusanga (2011) Can asymmetries account for the empirical failure of the Fisher effect in South Africa? Economics Bulletin 31(3):1968–1979

    Google Scholar 

  • Reid M (2009) The sensitivity of South African inflation expectations to surprises. South African Journal of Economics 77(3):414–429

    Article  Google Scholar 

  • Reid M, Odendaal H, Du Plessis S, Siklos P (2020) A note on the impact of the inclusion of an anchor number in the inflation expectations survey question, Centre for Applied Macroeconomic Analysis (CAMA), Working Paper No. 38–2020

  • Shin Y, Yu B, Greenwood-Nimmo M (2014) Modelling asymmetric cointegration and dynamic multipliers in a nonlinear ARDL framework, Festsschrift in honor of Peter Schmidt: Econometric Methods and Applications, eds. By R. Sickels and W. Horace, Springer, 281–314

  • Saikkonen P, Choi I (2004) Cointegrating Smooth Transition Regressions. Economet Theor 20(2):301–340

    Article  Google Scholar 

  • Schaling E (2004) The nonlinear Phillips curve and inflation forecast targeting: Symmtric versus asymmetric monetary policy rules. J Money, Credit, Bank 36(3):361–386

    Article  Google Scholar 

  • Soderlind P (1998) Nominal interest rates as indicators of inflation expectations. Scandinavian Journal of Economics 100(2):457–472

    Article  Google Scholar 

  • Terasvirta T (1994) Specification, estimation, and evaluation of smooth transition autoregressive models. Journal of American Statistic Association 89(42):212–281

    Google Scholar 

  • Wesso (2000) Long-term yield bonds and future inflation in South Africa: a vector error-correction analysis, Quarterly Bulletin: South African Reserve Bank, 72 – 84

  • Yaya, (2015) Testing the Lon-Run Fisher Effect in Selected African Countries: Evidence from ARDL Bounds Test. Int J Econ Financ 7(2):168–175

    Article  Google Scholar 

  • Yoon G (2010) Does nonlinearity help resolve the Fisher effect puzzle? Applied Economic Letters 17(8):823–828

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Andrew Phiri.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Phiri, A., Mbekeni, L. Fisher’s hypothesis, survey-based expectations and asymmetric adjustments: Empirical evidence from South Africa. Int Econ Econ Policy 18, 825–846 (2021). https://doi.org/10.1007/s10368-021-00498-2

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10368-021-00498-2

Keywords

JEL classification

Navigation