Ewa Majerowska https://orcid.org/0000-0003-0991-3714 , Jacek Bednarz https://orcid.org/0000-0002-9978-0371
ARTICLE

(English) PDF

ABSTRACT

The interest rate curve is often viewed as the leading indicator of economic prosperity in a broad sense. This paper studies the ability of the slope of the yield curve in the term structure of interest rates to impact the sectoral indices on the Warsaw Stock Exchange, using daily data covering the period from 1 January 2001 to 30 September 2020. The results of the research indicate an ambiguous dependence of the logarithmic rates of return of sub-indices on the change of the interbank interest rate curve. The only sectors showing a clear relationship of this type is energy and pharmaceuticals.

KEYWORDS

stock market sub-indices, EGARCH, term structure of the interest rates

JEL

C58, E43, E44

REFERENCES

Alberg, D., Shalit, H., & Yosef, R. (2008). Estimating stock market volatility using asymmetric GARCH models. Applied Financial Economics, 18(15), 1201–1208. https://doi.org/10.1080 /09603100701604225.

Alonso, F., Ayuso, J., & Martínez-Pagés, J. (2001). How informative are financial asset prices in Spain?. Revista de Economía Aplicada, 9(25), 5–38. https://www.redalyc.org/pdf/969 /96917680001.pdf.

Argyropoulos, E., & Tzavalis, E. (2016). Forecasting economic activity from yield curve factors. The North American Journal of Economics and Finance, 36, 293–311. https://doi.org/10.1016 /j.najef.2016.02.003.

Assefa, T. A., Esqueda, O. A., & Mollick, A. V. (2017). Stock returns and interest rates around the world: A panel data approach. Journal of Economics and Business, 89, 20–35. https://doi.org /10.1016/j.jeconbus.2016.10.001.

Atanasov, V. (2016). Conditional interest rate risk and the cross-section of excess stock returns. Review of Financial Economics, 30(1), 23–32. https://doi.org/10.1016/j.rfe.2016.02.003.

Barakat, M. R., Elgazzar, S. H., & Hanafy, K. M. (2016). Impact of Macroeconomic Variables on Stock Markets: Evidence from Emerging Markets. International Journal of Economics and Finance, 8(1), 195–207. https://doi.org/10.5539/ijef.v8n1p195.

Bernanke, B. S., & Kuttner, K. N. (2005). What Explains the Stock Market’s Reaction to Federal Reserve Policy?. The Journal of Finance, 60(3), 1221–1257. https://doi.org/10.1111/j.1540 -6261.2005.00760.x.

Bhowmik, R., & Wang, S. (2020). Stock Market Volatility and Return Analysis: A Systematic Literature Review. Entropy, 22(5), 1–18. https://doi.org/10.3390/e22050522.

Bhuiyan, E. M., & Chowdhury, M. (2020). Macroeconomic variables and stock market indices: Asymmetric dynamics in the US and Canada. The Quarterly Review of Economics and Finance, 77, 62–74. https://doi.org/10.1016/j.qref.2019.10.005.

Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics, 31(3), 307–327. https://doi.org/10.1016/0304-4076(86)90063-1.

Chen, N.-F., Roll, R., & Ross, S. A. (1986). Economic Forces and the Stock Market. The Journal of Business, 59(3), 383–403. https://doi.org/10.1086/296344.

Dale, S., & Haldane, A. G. (1995). Interest rates and the channels of monetary transmission: Some sectoral estimates. European Economic Review, 39(9), 1611–1626. https://doi.org/10.1016/0014 -2921(94)00108-1.

De Santis, R. A., Favero, C. A., & Roffia, B. (2008). Euro area money demand and international portfolio allocation: a contribution to assessing risks to price stability (ECB Working Paper No. 926). https://www.ecb.europa.eu//pub/pdf/scpwps/ecbwp926.pdf.

Dreger, C., & Wolters, J. (2009). Geldpolitik und Vermögensmärkte. Vierteljahreshefte zur Wirtschaftsforschung / Economics, Finance, Business & Management, 78(1), 56–65. https://doi.org/10.3790/vjh.78.1.56.

Ehrmann, M., & Fratzscher, M. (2004). Taking Stock: Monetary Policy Transmission to Equity Markets. Journal of Money, Credit, and Banking, 36(4), 719–737. https://doi.org/10.1353 /mcb.2004.0063.

Estrella, A., & Hardouvelis, G. A. (1991). The Term Structure as a Predictor of Real Economic Activity. The Journal of Finance, 46(2), 555–576. https://doi.org/10.2307/2328836.

Fałdziński, M., Fiszeder, P., & Orzeszko, W. (2021). Forecasting Volatility of Energy Commodities: Comparison of GARCH Models with Support Vector Regression. Energies, 14(1), 1–18. https://doi.org/10.3390/en14010006.

Fiszeder, P. (2009). Modele klasy GARCH w empirycznych badaniach finansowych. Toruń: Wydawnictwo Naukowe Uniwersytetu Mikołaja Kopernika.

Flannery, M. J., & Protopapadakis, A. A. (2002). Macroeconomic Factors Do Influence Aggregate Stock Returns. The Review of Financial Studies, 15(3), 751–782. https://doi.org/10.1093/rfs /15.3.751.

Gamber, E. N. (1996). The policy content of the yield curve slope. Review of Financial Economics, 5(2), 163–179. https://doi.org/10.1016/S1058-3300(96)90013-0.

Gostkowska-Drzewicka, M., & Majerowska, E. (2018). Przynależność sektorowa a wyniki spółek notowanych na GPW w Warszawie. Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu / Research Papers of Wrocław University of Economics, (531), 139–148. https://doi.org/10.15611/pn.2018.531.12.

Hamilton, J. D., & Kim, D. H. (2002). A Reexamination of the Predictability of Economic Activity Using the Yield Spread. Journal of Money, Credit, and Banking, 34(2), 340–360. https://doi.org /10.1353/mcb.2002.0040.

Izgi, B., & Duran, A. (2016). 3D extreme value analysis for stock return, interest rate and speed of mean reversion. Journal of Computational and Applied Mathematics, 297, 51–64. https://doi.org /10.1016/j.cam.2015.10.009.

Khandwala, H. (2015). Yield Curve as a Leading Indicator in Predicting Economic Slowdowns: An Evidence from India. Journal of Stock and Forex Trading, 4(2). https://doi.org/10.4172/2168 -9458.1000147.

Kuttner, K. N., & Mosser, P. C. (2002). The Monetary Transmission Mechanism: Some Answers and Further Questions. FRBNY Economic Policy Review, 8(1), 15–26. https://www.newyorkfed.org /medialibrary/media/research/epr/02v08n1/0205kutt.pdf.

Lin, Z. (2018). Modelling and forecasting the stock market volatility of SSE Composite Index using GARCH models. Future Generation Computer Systems, 79(3), 960–972. https://doi.org/10.1016 /j.future.2017.08.033.

Maysami, R. C., Howe, L. C., & Hamzah, M. A. (2005). Relationship between Macroeconomic Variables and Stock Market Indices: Cointegration Evidence from Stock Exchange of Singapore’s All-S Sector Indices. Jurnal Pengurusan, (24), 47–77. https://ejournal.ukm.my /pengurusan/article/view/1454/1264.

Mishkin, F. S. (1991). A multi-country study of the information in the shorter maturity term structure about future inflation. Journal of International Money and Finance, 10(1), 2–22. https://doi.org/10.1016/0261-5606(91)90024-E.

Moneta, F. (2005). Does the Yield Spread Predict Recessions in the Euro Area?. International Finance, 8(2), 263–301. https://doi.org/10.1111/j.1468-2362.2005.00159.x.

Nelson, B. D. (1991). Conditional heteroskedasticity in asset returns: A new approach. Econometrica, 59(2), 347–370. https://doi.org/10.2307/2938260.

Papadamou, S., Sidiropoulos, M., & Spyromitros, E. (2017). Interest rate dynamic effect on stock returns and central bank transparency: Evidence from emerging markets. Research in International Business and Finance, 39B, 951–962. https://doi.org/10.1016/j.ribaf.2016.01.020.

Pelaez, R. F. (1997). Riding the Yield Curve: Term Premiums and Eexcess Returns. Review of Financial Economics, 6(1), 113–119. https://doi.org/10.1016/S1058-3300(97)90017-3.

Ross, S. (1976). The Arbitrage Theory of Capital Asset Pricing. Journal of Economic Theory, 13(3), 341–360. https://doi.org/10.1016/0022-0531(76)90046-6.

Stooq.pl. (n.d.). Financial data from the Warsaw Stock Exchange [Data set]. Retrieved October 14, 2020, from https://stooq.pl/.

Traficante, G. (2013). Monetary policy, parameter uncertainty and welfare. Journal of Macroeconomics, 35, 73–80. https://doi.org/10.1016/j.jmacro.2012.11.005.

Ugurlu, E., Thalassinos, E., & Muratoglu, Y. (2014). Modeling Volatility in the Stock Markets using GARCH Models: European Emerging Economics and Turkey. International Journal in Economics and Business Administration, 2(3), 72–87. https://www.ersj.eu/repec/ers/pijeba/14_3_p6.pdf.

Wei, S.-Y., Cheng, J.-H., Lin, L.-W., & Gan, S.-M. (2020). Volatility Asymmetry of Scale Indexes – Taking China as an example. International Journal of Economics and Financial Issues, 10(4), 158–169. https://doi.org/10.32479/ijefi.8200.

Wheelock, D. C., & Wohar, M. E. (2009). Can the Term Spread Predict Output Growth and Recessions? A Survey of the Literature. Federal Reserve Bank of St. Louis Review, 91(5), 419–440. https://doi.org/10.20955/r.91.419-440.

Back to top
© 2019–2022 Copyright by Statistics Poland, some rights reserved. Creative Commons Attribution-ShareAlike 4.0 International Public License (CC BY-SA 4.0) Creative Commons — Attribution-ShareAlike 4.0 International — CC BY-SA 4.0