Spatio‑Temporal Analysis of the Phenomenon of Volatility Transfer Between the Markets Representing Different Assets Classes with Regard to the Changes of the Crude Oil Prices in the Period of 2000–2015

Authors

  • Dagna Wleklińska Uniwersytet Mikołaja Kopernika w Toruniu, Wydział Nauk Ekonomicznych i Zarządzania, Katedra Ekonometrii i Statystyki

DOI:

https://doi.org/10.18778/0208-6018.332.04

Keywords:

equity market, bond market, exchange rates, volatility, volatility transfer, physical and economic distance, spatial panel models, connectivity matrix

Abstract

In the face of the numerous turbulence on the global financial markets the need for a more profound look at the phenomenon of volatility transfer between different markets increases because as a consequence of this phenomenon the increase in volatility in one market may lead to the appearance of an increased volatility on another. In the case of these relationships spatial displacement can also be observed, consisting in reactions of the market in one country on the changes taking place in other markets in other countries. In this approach, the analysis is carried out on the assumption that the markets are located in a metric space, where the relationship between the variables describing these markets are the functions of the physical or more likely economic distance between them. The aim of this article is to determine whether, in the context of the phenomenon of the price volatility transfer between different assets classes, a certain spatial relationships between them could be disclosured. Subsequently, in case of occurrence of supposed dependences, an attempt to identify the possible spatial relationships between the market in one country and markets located in the neighboring countries was made. To identify the spatial relationships dynamic spatial panel models were introduced. The research includes the markets of equities, bonds and foreign exchange markets representing selected countries in Europe and Asia in the period of 2000–2015.

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References

Anselin L. (1988), Spatial Econometrics: Methods and Models, Kluwer Academic Publishers, Dordrecht.
Google Scholar

Arghyrou M.G., Kontonikas A. (2011), The EMU sovereign‑debt crises: Fundamentals. expectations and contagion, European Economy, Economic Papers 436.
Google Scholar

Asgharian H., Hess W., Liu L. (2013), A spatial analysis of international stock market linkages, „Journal of Banking & Finance”, vol. 37, issue 12, s. 4738–4754.
Google Scholar

Asgharian H., Larsson M., Liu L. (2014), Spatial dependencies in international bond markets, www. ace‑notebook.com [dostęp: 6.05.2016].
Google Scholar

Bodart V., Reding P. (1999), Exchange rate regime, volatility and international correlations of bond and stock markets, „Journal of International Money and Finance”, vol. 18, s. 133–151.
Google Scholar

Bruyckere V., Gerhardt M., Schepens G., van der Vennet R.V. (2012), Bank/sovereign risk spillovers in the European debt crisis, Working Paper Research 232, National Bank of Belgium.
Google Scholar

Easterly W., Kremer M., Pritchett L., Summers L.H. (1993), God Policy or Good Luck? Country Growth Performance and Temporary Shocks, NBER Working Paper, No. 4474, „Journal of Monetary Economics”, vol. 32, s. 459–483.
Google Scholar

French K., Poterba J. (1991), Investor diversification and international equity markets, „The American Economic Review”, vol. 81, no. 2, s. 222–226.
Google Scholar

Haining R. (2005), Spatial Data Analysis. Theory and Practice, 3th ed., Cambridge University Press, Cambridge.
Google Scholar

Hardouvelis G., Malliaropulos D., Priestley R. (2006), EMU and European Stock Market Integration, „Journal of Business”, no. 79(1), s. 365–392.
Google Scholar

Hondronyiannis G., Kelejian H.H., Tavlas G.S. (2009), Spatial aspects of contagion among emerging economies, „Spatial Economic Analysis”, no. 4, s. 191–211.
Google Scholar

Hull J. (2011), Zarządzanie ryzykiem instytucji finansowych, Wydawnictwo Profesjonalne PWN, Warszawa.
Google Scholar

Johnson R., Soenen L. (2003), Indicators of successful companies, „European Management Journal”, no. 21(3), s. 364–369.
Google Scholar

Kose M.A. (2002), Explaining business cycles in small open economies: How much do world prices matter?, „Journal of International Economics”, vol. 56, issue 2, s. 299–327.
Google Scholar

Kose M.A., Prasad E.S., Terrones M.E. (2005), Growth and Volatility in an Era of Globalization, „IMF Staff Paper”, vol. 52, s. 31–63.
Google Scholar

Lee J., Lee H. (2009), Testing for risk spillover between stock market and foreign exchange market in Korea, „Journal of Economic Research”, no. 14, s. 329–340.
Google Scholar

Lychagin S., Pinkse J., Slade M., van Reenen J. (2010), Spillovers in space: Does geography matter?, CEP Discussion Paper No 991.
Google Scholar

Muratori M. (2015), Contagion in the Euro Area Sovereign Bond Market, „Social Sciences”, no. 4, s. 66–82.
Google Scholar

Published

2018-02-02

How to Cite

Wleklińska, D. (2018). Spatio‑Temporal Analysis of the Phenomenon of Volatility Transfer Between the Markets Representing Different Assets Classes with Regard to the Changes of the Crude Oil Prices in the Period of 2000–2015. Acta Universitatis Lodziensis. Folia Oeconomica, 6(332), 51–72. https://doi.org/10.18778/0208-6018.332.04

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