Risks and the influence of negative interest rates on economic activity: a case study of Sweden, Denmark, and Switzerland
-
DOIhttp://dx.doi.org/10.21511/bbs.15(1).2020.04
-
Article InfoVolume 15 2020, Issue #1, pp. 30-41
- Cited by
- 1102 Views
-
195 Downloads
This work is licensed under a
Creative Commons Attribution 4.0 International License
The purpose of this paper is to analyze the impact of negative interest rates on economic activity in a selected group of countries, in particular Sweden, Denmark, and Switzerland, for the period 2009–2018. The central banks of these countries were among the first to implement negative interest rates to revive the economic growth. Therefore, this study analyzed long- and short-term relationships between interest rates announced by central banks and gross domestic product and blue chip stock indices. Time series analysis was conducted using Engle-Granger cointegration analysis and Granger causality testing to identify long- and short-term relationship. The first step, using the Akaike criteria, was to determine the optimal delay of the entire time interval for the analyzed periods. Time series that seem to be stationary were excluded based on the results of the Dickey-Fuller test. Further testing continued with the Engle-Granger test if the conditions were met. It was designed to identify co-integration relationships that would show correlation between the selected variables. These tests showed that at a significance level of 0.05, there is no co-integration between any time series in the countries analyzed. On the basis of these analyses, it was determined that there were no long-term relationships between interest rates and GDP or stock indices for these countries during the monitored time period. Using Granger causality, the study only confirmed short-term relationship between interest rates and GDP for all examined countries, though not between interest rates and the stock indices.
Acknowledgment
The paper has been created with the financial support of The Czech Science Foundation GACR 18-05244S – Innovative Approaches to Credit Risk Management.
- Keywords
-
JEL Classification (Paper profile tab)E51, E58, O24
-
References35
-
Tables10
-
Figures1
-
- first difference Table 7. The results of the ADF test – the second difference
-
- Table 1. Negative interest rates of selected central banks (December 1, 2019)
- Table 2. Description of variables used for analysis
- Table 3. Results of optimal lag via AIC for interest rates and GDP
- Table 4. Results of optimal lag via AIC for interest rates and blue chip stock indices
- Table 5. The results of the ADF test
- Table 6. The results of the ADF test – the first difference
- Table 7. The results of the ADF test – the second difference
- Table 8. The results of the Engle-Granger cointegration test
- Table 9. The results of the Granger causality test for interest rates and GDP
- Table 10. The results of the Granger causality test for interest rates and blue chip stock indices
-
- Akaike, H. (1981). Likelihood of a model and information criteria. Journal of Econometrics, 16(1), 3-14.
- Arestis, P., &Sawzer, M. (2002). Can monetary policy affect the real economy? (Working papers No. 355). Levy Economics Institute of Bard College, Annandale-on-Hudson, NY.
- Bencivenga, V. R., Smith, B. D., & Starr, R. M. (1995). Transactions Costs, Technological Choice, and Endogenous Growth. Journal of Economic Theory, 67(1), 153-177.
- Blue Chip Companies. (2019). What are blue chips?
- Černohorský, J. (2017). Types of bank loans and their impact on economic development: a case study of the Czech Republic. Economics and Management, 20(4), 34-48.
- Cole, R. A., Moshirian, F., & Wu, Q. (2008). Bank Stock returns and economic growth. Journal of Banking & Finance, 32(6), 995-1007.
- DanmarksNationalbank. (2019). Officiellerentesarser.
- Dickey, D. A., & Fuller, W. A. (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Association, 74(366a), 427-431.
- Engle, R. F., & Granger, C. W. J. (1987). Co-Integration and Error Correction: Representation, Estimation, and Testing. Econometrica, 55(2), 251-276.
- Gambacorta, L., Hofmann, B., &Peersman, G. (2014). The Effectiveness of Unconventional Monetary Policy at the Zero Lower Bound: A Cross-Country Analysisis. Journal of Money, Credit and Banking, 46(4), 615-642.
- Gerlach, S., &Svensson, L. E. O. (2003). Money and inflation in the euro area: A case for monetary indicators? Journal of Monetary Economics, 50(8), 1649-1672.
- Investing.com. (2019a). OMX Copenhagen 20 (OMXC20).
- Investing.com. (2019b). OMX Stockholm 30 (OMXS30).
- Investing.com. (2019c). SMI (SSMI).
- Khatkhate, D. R. (1988). Assessing the impact of interest rates in less developed countries. World Development, 16(5), 577-588.
- King, R. G., & Levine, R. (1993). Finance and growth: Schumpeter might be right. The Quarterly Journal of Economics, 108(3), 717-737.
- Kočišová, K. (2018). Bank Competition and Performance: The Case of Slovakia and the Czech Republic. Journal of Applied Economic Sciences (JAES), 13(5), 1159-1176.
- Lanyi, A., &Saracoglu, R. (1983). The importance of interest rates in developing economies. Finance and Development, 20(2), 20-23.
- Lapp, J. S. (2007). Interest rates, rate spreads and economic activity. Contemporary Economic Policy, 15(3), 42-50.
- Lee, B. S. (1992). Causal Relations among Stock Returns, Interest Rates, Real activity and Inflation. The Journal of Finance, 47(4), 1591-603.
- Levine, R., &Zevros, S. (1996). Stock Markets, Banks, and Economic Growth. American Economic Review, 88(3), 537-558.
- Liew, V. K.-S. (2004). Which Lag Length Selection Criteria Should We Employ? Economics Bulletin, 3(33), 1-9.
- Mankiw, G. N. (2014). Principles of macroeconomics. Stamford: Cengage Learning.
- Maysami, R. C., Howe, L. Ch., &Rahmat, M. A. (2005). Relationship between Macroeconomic Variables and Stock Market indices: Cointegration Evidence from Stock Exchange of Singapore´s All-S Sector Indices. JurnalPengurusan, 24, 47-77.
- Mishkin, F. S. (2017). Rethinking monetary policy after the crisis. Journal of International Money and Finance, 73(part B), 252-274.
- OECD. (2019). Gross domestic product.
- Svensson, L. E. O. (2000). The zero bound in an open economy: A foolproof way of escaping from a liquidity trap (NBER Working Paper No. 7957).
- Svensson, L. E. O. (2015). Monetary policy and macroprudential policy: different and separate. Paper presented at the Federal Reserve Bank of Boston’s 59th Economic Conference “Macroprudential Monetary Policy”.
- SverigesRiksbank. (2019). Repo rate, deposit and lending rate.
- The Swiss National Bank. (2019). Current interest rates and exchange rates.
- Van Stel, A., Carree, M., &Tthurik, R. (2005). The Effect of Entrepreneurial Activity on National Economic Growth. Small Business Economics, 24(3), 311-21.
- Williams, J. C. (2014). Monetary policy at the zero lower bound: Putting theory into practice. San Francisco: Hutchins Center Working Papers.
- Woodford, M. (2011). Interest and prices: Foundations of a theory of monetary policy. Princeton: Princeton university press.
- Wu, J. C., & Xia, F. D. (2016). Measuring the macroeconomic impact of monetary policy at the zero lower bound. Journal of Money, Credit and Banking, 48(2-3), 253-291.
- Zamrazilová, E. (2014). Měnovápolitika: krátkodobástabilizace versus dlouhodobárizika. Politickáekonomie, 62(1), 3-31.