Ana Farinha – Escola Superior de Ciências Empresarias – Instituto Politécnico de Setúbal, Portugal

Rui Dias – Escola Superior de Ciências Empresariais – Instituto Politécnico de Setúbal, Portugal & CEFAGE, Universidade de Évora, Portugal

Paula Heliodoro – Escola Superior de Ciências Empresarias – Instituto Politécnico de Setúbal, Portugal

Paulo Alexandre – Escola Superior de Ciências Empresarias – Instituto Politécnico de Setúbal, Portugal

 

DOI: https://doi.org/10.31410/ITEMA.S.P.2020.67

 

4th International Scientific Conference on Recent Advances in Information Technology, Tourism, Economics, Management and Agriculture – ITEMA 2020, Online/virtual, October 8, 2020, SELECTED PAPERS published by the Association of Economists and Managers of the Balkans, Belgrade; Printed by: SKRIPTA International, Belgrade, ISBN 978-86-80194-37-0, ISSN 2683-5991, DOI: https://doi.org/10.31410/ITEMA.S.P.2020

 

 

Abstract

This paper aims to analyse if whether Gold (Gold Bullion: Zurich) and Silver (Silver Paris Spot E/KG) will be a safe haven for portfolio diversification in the financial markets of Germany (DAX 30), USA (DOW JONES), France (CAC 4 0), Italy (FTSE MID), United Kingdom (FTSE 100), Hong Kong (Hang Seng), China (SHANGHAI SE ASHARE), Japan (NIKKEI 225), in the period between 1 January 2019 to 2 September 2020. In order to perform this analysis where undertaken different approaches to analyse if: (i) the gold and silver market will be a safe haven when financial markets break down? (ii) If so, can market shocks question portfolio diversification? The results suggest 53 pairs of integrated markets (out of 90 possible). Gold and Silver have integrations with each other and with the USA, but the other financial markets integrate with Gold and Silver, namely the US, France, UK, Italy and Hong Kong markets (the latter only with Silver). The China market has a single integration but is integrated by the USA, France, the United Kingdom, Italy, and Germany, which partially rejects the first investigation question. In corroboration, causality tests show 67 causal relationships (out of 90 possible). The Markets of Italy (FTSE MID), the USA (DOW JONES) cause, in the Grangerian sense, all its peers (9 out of 9 possible), while France (CAC 40), the United Kingdom (FTSE 100), Japan (NIKKEI 225), and Germany (DAX 30) cause 8 out of 9. Silver and Gold cause the financial markets 7, and 6 times (out of 9 possible), respectively, while the Hong Kong (Hang Seng) and China (SHANGHAI) markets cause 3 and once, respectively, which validates the second investigation question. Given the high level of integration and shocks between markets, portfolio diversification may be brought into question. These findings also make room for market regulators to take steps to ensure better information among international financial markets.

 

Keywords

Gold, Silver, Hedging, Safe haven, Risk diversification.


References

Balcilar, M., Demirer, R., Gupta, R., & Wohar, M. E. (2020). The effect of global and regional stock market shocks on safe haven assets. Structural Change and Economic Dynamics. https://doi.org/10.1016/j.strueco.2020.04.004
Balcilar, M., Hammoudeh, S., & Asaba, N. A. F. (2015). A regime-dependent assessment of the information transmission dynamics between oil prices, precious metal prices and exchange rates. International Review of Economics and Finance. https://doi.org/10.1016/j.iref.2015.02.005
Batten, J. A., Ciner, C., Kosedag, A., & Lucey, B. M. (2017). Is the price of gold to gold mining stocks asymmetric? Economic Modelling. https://doi.org/10.1016/j.econmod.2016.10.007
Bouri, E., Shahzad, S. J. H., Roubaud, D., Kristoufek, L., & Lucey, B. (2020). Bitcoin, gold, and commodities as safe havens for stocks: New insight through wavelet analysis. Quarterly Review of Economics and Finance. https://doi.org/10.1016/j.qref.2020.03.004
Corbet, S., Larkin, C., & Lucey, B. (2020). The contagion effects of the COVID-19 pandemic: Evidence from gold and cryptocurrencies. Finance Research Letters. https://doi.org/10.1016/j.frl.2020.101554
Dias, R., da Silva, J. V., & Dionísio, A. (2019). Financial markets of the LAC region: Does the crisis influence the financial integration? International Review of Financial Analysis. https://doi.org/10.1016/j.irfa.2019.02.008
Diaz, E. M., Molero, J. C., & Perez de Gracia, F. (2016). Oil price volatility and stock returns in the G7 economies. Energy Economics. https://doi.org/10.1016/j.eneco.2016.01.002
Dickey, D., & Fuller, W. (1981). Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica, 49(4), 1057–1072. https://doi.org/10.2307/1912517
Engle, R. F., & Granger, C. W. J. (1987). Co-Integration and Error Correction: Representation, Estimation, and Testing. Econometrica, 55(2), 251. https://doi.org/10.2307/1913236
Ferreira, P., Dionísio, A., & Movahed, S. M. S. (2017). Assessment of 48 Stock markets using adaptive multifractal approach. Physica A: Statistical Mechanics and Its Applications, 486, 730–750. https://doi.org/10.1016/j.physa.2017.05.046
Gregory, A. W., & Hansen, B. E. (1996). Residual-based tests for cointegration in models with regime shifts. Journal of Econometrics, 70(1), 99–126. https://doi.org/10.1016/0304-4076(69)41685-7
Gujarati, D. N. (2004). Basic Econometrics. New York. https://doi.org/10.1126/science.1186874
Huang, D., & Kilic, M. (2019). Gold, platinum, and expected stock returns. Journal of Financial Economics. https://doi.org/10.1016/j.jfineco.2018.11.004
Hussain Shahzad, S. J., Bouri, E., Roubaud, D., & Kristoufek, L. (2020). Safe haven, hedge and diversification for G7 stock markets: Gold versus bitcoin. Economic Modelling. https://doi.org/10.1016/j.econmod.2019.07.023
Jarque, C. M., & Bera, A. K. (1980). Efficient tests for normality, homoscedasticity and serial independence of regression residuals. Economics Letters, 6(3), 255–259. https://doi.org/10.1016/0165-1765(80)90024-5
Johansen, S. (1988). Statistical Analysis of Cointegrated Vectors. Journal of Economic Dynamics and Control, 12(2–3), 231–254.
Kang, S. H., Yoon, S. M., Bekiros, S., & Uddin, G. S. (2020). Bitcoin as Hedge or Safe Haven: Evidence from Stock, Currency, Bond and Derivatives Markets. Computational Economics. https://doi.org/10.1007/s10614-019-09935-6
Kumar, S. (2017). What determines the gold inflation relation in the long-run? Studies in Economics and Finance. https://doi.org/10.1108/SEF-04-2016-0084
Laily, S., Hashim, M., Ramlan, H., Huda, N., Razali, A., Zaidah, N., & Nordin, M. (2017). Macroeconomic Variables Affecting the Volatility of Gold Price. Journal of Global Business and Social Entrepreneurship (GBSE).
Larry, C. (2020). Coronavirus’ impact on financial markets | Refinitiv. Perspectives. Refinitiv.
Ma, X., Yang, R., Zou, D., & Liu, R. (2020). Measuring extreme risk of sustainable financial system using GJR-GARCH model trading data-based. International Journal of Information Management, 50(January 2019), 526–537. https://doi.org/10.1016/j.ijinfomgt. International Journal of Information Management. https://doi.org/10.1016/j.ijinfomgt.2018.12.013
Mohammadpoor, S., & Rezazadeh, A. (2019). The Investigation of Time Varying Efficiency in Financial Markets of Iran: Case Study of Foreign Exchange and Gold Markets. Financial Research Journal. https://doi.org/10.22059/frj.2019.272213.1006790
Morales, L., & Gassie, E. (2014). Structural breaks and financial volatility: lessons from the BRIC countries. Economics, Management and Financial Markets.
Naeem, M. A., Hasan, M., Arif, M., Balli, F., & Shahzad, S. J. H. (2020). Time and frequency domain quantile coherence of emerging stock markets with gold and oil prices. Physica A: Statistical Mechanics and Its Applications. https://doi.org/10.1016/j.physa.2020.124235
Perron, P., & Phillips, P. C. B. (1988). Testing for a Unit Root in a Time Series Regression. Biometrika, 2(75), 335–346. https://doi.org/10.1080/07350015.1992.10509923
Sheik, M. M., & Banu, M. A. S. (2015). Study on Weak-Form Efficiency of Foreign Exchange Markets of Developing Economies: Some India Evidence. International Journal of Management.
Siddiqui, S., & Roy, P. (2019). Predicting volatility and dynamic relation between stock market, exchange rate and select commodities. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis. https://doi.org/10.11118/actaun201967061597

Tursoy, T., & Faisal, F. (2018). The impact of gold and crude oil prices on stock market in Turkey: Empirical evidences from ARDL bounds test and combined cointegration. Resources Policy. https://doi.org/10.1016/j.resourpol.2017.10.014
Yamaka, W., & Maneejuk, P. (2020). Analyzing the causality and dependence between gold shocks and Asian emerging stock markets: A smooth transition copula approach. Mathematics. https://doi.org/10.3390/math8010120
Yarovaya, L., & Lau, M. C. K. (2016). Stock market comovements around the Global Financial Crisis: Evidence from the UK, BRICS and MIST markets. Research in International Business and Finance, 37, 605–619. https://doi.org/10.1016/j.ribaf.2016.01.023

 

Download Full Paper

Association of Economists and Managers of the Balkans – UdEkoM Balkan
179 Ustanicka St, 11000 Belgrade, Republic of Serbia

ITEMA conference publications are licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.