Granger Causality between Stock and Gold Returns – Evidence from Poland, Hungary and the Czech Republic

Katarzyna Mamcarz

Abstract


Theoretical background: The safety of capital investments is one of the criteria in the decision-making process. Under conditions of uncertainty in financial market, investors’ interest in gold – as an alternative form of capital investment – is growing, especially in comparison with stocks perceived as more risky assets. Fluctuations in the prices of these assets make investors transfer their funds from gold markets to more profiable markets, or return to gold markets. From this point of view, it is important to analyse the causal relationships between returns on these assets.

Purpose of the article: The aim of this paper is to investigate the causal relationship between the rates of return on investment in gold and stocks in selected countries of Central and Eastern Europe (Poland, Hungary, and the Czech Republic). We assume that the rates of return on the gold market constitute a Granger cause of the rates of return on the analysed stock markets.

Research methods: To investigate the impact of the gold market on the stock market and vice versa, including the type and direction of Granger causality of the rates of returns, the VAR models were estimated and served as the basis for performing a Granger non causality linear test. The analysis of stationarity (ADF test) and cointegration (the Johansen test) of variables was carried out to select the final form of VAR/VECM model. The empirical data covered the period between December 1996 and December 2020. The analysis was carried out for the entire period and two sub-periods: the first one before the 2007 financial crisis and the second one, covering this crisis and the beginning of the ongoing COVID-19 pandemic. Stock indices included in this research are composed of the most liquid stocks, so-called blue chip shares traded on the Warsaw Stock Exchange – WIG20, the Budapest Stock Exchange – BUX index, the Prague Stock Exchange – PX index. The gold prices are expressed in domestic currencies (PLN, HUF, CZK, respectively). Monthly logarithmic returns on investment on the analysed markets constituted the variables of models reflecting the interrelations in the considered countries.

Main findings: We show that, apart from two instances of unilateral causality running from gold to stock returns, no causal relationships were found in any of the directions (independence) for the entire sample. We prove that in the case of Hungary and the Czech Republic (significant at α = 5%), the rate of return on the gold market determined the rates of return on the stock market, whereas in Poland, no such causality was identified. To some extent, the research hypothesis was positively verified. The results also confim that changes in the stock market prices in all considered countries did not affect the change in the price of gold. After dividing the sample into two sub periods, no causal relationships were found between the analysed markets in the fist sub-period, whereas in the second sub-period, we indicate that the rates of return on gold determine the rates of return on stocks in two countries, namely Poland and Hungary. In this respect, the research hypothesis of one-way causality occurring in the analysed sub-periods is positively verified. Only in Hungary is the impact of gold on the stock market observed both in the entire period and in the second sub-period.


Keywords


stock indices; domestic gold price; Granger causality; VAR models

Full Text:

PDF

References


Açikalin, S., & Başci, E.S. (2016). Cointegration and Causality Relationship between IST 100 and BIST Gold Indices. Journal of Management and Economics, 23(2), 565–574. https://doi.org/10.18657/yecbu.53293

Al Kharusi, S., & Basci, E.S. (2019). Cointegration and Causality between the GCC Stock Indices and Gold Indices. Business and Economic Horizons, 15(1), 60–69. https://doi.org/10.15208/beh.2019.4

Al-Ameer, M., Hammad, W., Ismail, A., & Hamdan, A. (2018). The Relationship of Gold Price with the Stock Market: The Case of Frankfurt Stock Exchange. International Journal of Energy Economics and Policy, 8(5), 357–371.

Becketti, S. (2013). Introduction to Time Series Using Stata. College Station: Stata Press.

Beckmann, J., Berger, T., & Czudaj, R. (2015). Does Gold Act as a Hedge or a Safe Haven for Stocks? A Smooth Transition Approach. Economic Modelling, 48, 16–24. https://doi.org/10.1016/j.econmod.2014.10.044

Bhuvaneshwari, D., & Ramya, K. (2017). Causal Relationship between Stock Prices and Gold Rate: Empirical Evidence from India. Afro-Asian Journal of Finance and Accounting, 7(4). https://doi.org/10.1504/AAJFA.2017.087502

BUX index profile. Retrieved from https://www.bse.hu/Products-and-Services/Indices/BUX

Charemza, W.W., & Deadman, D.F. (1997). New Directions in Econometric Practice. General to Specific Modelling, Cointegration and Vector Autoregression. Cheltenham – Northampton: Edward Elgar.

Choudhry, T., Hassan, S.S., & Shabi, S. (2015). Relationship between Gold and Stock Markets During the Global Financial Crisis: Evidence from Nonlinear Causality Tests. International Review of Financial Analysis, 41, 247–256. https://doi.org/10.1016/j.irfa.2015.03.011

GFMS Gold Survey. (2019). REFINITIV. Retrieved from https://solutions.refiitiv.com/metalsresearch

Gokmenoglu, K.K., & Fazlollahi, N. (2015). The Interactions among Gold, Oil, and Stock Market: Evidence from S&P 500. Procedia – Economics and Finance, 25, 478–488. https://doi.org/0.1016/S2212-5671(15)00760-1

Hemavathy, P., & Gurusamy, S. (2016). Testing the Causality and Cointegration of Gold Price and NSE (S&P CNX NIFTY): Evidence from India. Amity Global Business Review, 11.

Hussin, M.Y.M., Muhammad, F., Razak, A.A., Tha, G.P., & Marwan, N. (2013). The Link between Gold Price, Oil Price and Islamic Stock Market: Experience from Malaysia. Journal of Studies in Social Sciences, 4(2), 161–182.

Johansen, S., & Juselius, K. (1990). Maximum Likelihood Estimation and Inference on Cointegration with Applications to the Demand for Money. Oxford Bulletin of Economics & Statistic, 52(2), 169–210. https://doi.org/10.1111/j.1468-0084.1990.mp52002003.x

Lütkepohl, H. (2005). New Introduction to Multiple Time Series Analysis. Berlin: Springer.

Mamcarz, K. (2019). Gold Market and Selected Stock Markets – Granger Causality Analysis. In W. Tarczyński & K. Nermend (Eds.), Effective Investments on Capital Markets. Springer Proceedings in Business and Economics (pp. 405–422). Cham: Springer. https://doi.org/10.1007/978-3-030-21274-2_28

Mills, T.C. (2015). Time Series Econometrics: A Concise Introduction. Basingstoke: Palgrave Macmillan.

Mishra, P.K., Das, J.R., & Mishra, S.K. (2010). Gold Price Volatility and Stock Market Returns in India. American Journal of Scientifi Research, 9(9).

Miyazaki, T., & Hamori, S. (2013). Testing for Causality between the Gold Return and Stock Market Performance: Evidence for ‘Gold Investment in Case of Emergency’. Applied Financial Economics, 23(1), 27–40. https://doi.org/10.1080/09603107.2012.699184

Patel, S.P. (2013). Causal Relationship between Stock Market Indices and Gold Price: Evidence from India. The IUP Journal of Applied Finance, 19.

PX index profile. Retrieved from https://www.pse.cz/en/indices/index-values/detail/XC0009698371

Sims, C. (1980). Macroeconomics and Reality. Econometrica, 48(1), 1–48.

https://doi.org/10.2307/1912017

Tiwari, A.K., Adewuyi, A.O., & Roubaud, D. (2019). Dependence between the Global Gold Market and Emerging Stock Markets (E7+1): Evidence from Granger Causality Using Quantile and Quantile-on-Quantile Regression Methods. The World Economy, 42(7), 2172–2214. https://doi.org/10.1111/twec.12775

WIG20 Index factsheet. Retrieved from https://gpwbenchmark.pl/en-karta-indeksu?isin=PL9999999425

Data sources

The Budapest Stock Exchange. Retrieved from https://www.bse.hu/pages/data-download

The Prague Stock Exchange Monthly Statistics. Retrieved from https://www.pse.cz/en/market-data/statistics/statistics-fies?tab=stat-monthly

The Prague Stock Exchange Yearly Fact Book. Retrieved from https://www.pse.cz/en/market-data/statistics/statistics-fies?tab=stat-yearly

The Warsaw Stock Exchange Year Book. Retrieved from https://www.gpw.pl/biblioteka-gpw-lista?gpwlc_id=10&publication_date_from=&query=&publication_date_to=&ph_main_02_offset=0

The World Gold Council (WGC). Retrieved from https://www.gold.org

USD/CZK exchange rate. Retrieved from https://stooq.pl/q/d/?s=usdczk

USD/HUF exchange rate. Retrieved from https://stooq.pl/q/d/?s=usdhuf

USD/PLN exchange rate. Retrieved from https://stooq.pl/q/d/?s=usdpln




DOI: http://dx.doi.org/10.17951/h.2021.55.3.67-80
Date of publication: 2021-11-24 12:10:17
Date of submission: 2021-04-22 14:53:58


Statistics


Total abstract view - 1213
Downloads (from 2020-06-17) - PDF - 0

Indicators



Refbacks

  • There are currently no refbacks.


Copyright (c) 2021 Katarzyna Mamcarz

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.