Research purpose. Stocks as well as other securities are a crucial part of the financial market that helps to redistribute financial resources amongst market participants, which in a modern economy include not only professional stock players but also many common individuals seeking to increase their capital. Previous studies found a strong relationship between the macroeconomic variables and stock returns but often the explanatory power of those models seems to be limited in the applicable region. The aim of this article is to establish whether each region’s stock indices have to be predicted based on a separate set of variables.
Design / Methodology / Approach. The article uses correlation–regression analysis method to confirm the initial hypothesis regarding regional limitations of such prediction models.
Findings. The same set of independent variables cannot be directly applied to different regions because although the chosen Y2B model did provide an accurate relationship between macroeconomic variables and stock indices in the United Kingdom, it failed to provide accurate (usable) results in other regions (Estonia, European Union, France, Germany, Latvia and Lithuania),
Originality / Value / Practical implications. The results are important in order to define the way that the smaller and less-researched economies should be examined because detailed researches of power economies such as the United States, the United Kingdom, China or Germany often cannot be directly applied outside the initial research region. Therefore, the need of separate studies for smaller regions such as Baltic States is confirmed.
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Alexakis, P. D., Kenourgios, D., & Dimitriou, D. (2016). On emerging stock market contagion: The Baltic region. Research in International Business and Finance, 36, 312–321. https://doi.org/10.1016/J.RIBAF.2015.09.035
Bali, T. G., Brown, S. J., & Tang, Y. (2014). Macroeconomic Uncertainty and Expected Stock Returns. Working Paper, (646), 1–77.
Benaković, D., & Posedel, P. (2010). Do macroeconomic factors matter for stock returns? Evidence from estimating a multifactor model on the Croatian market. Business Systems Research, 1(1–2), 39–46. https://doi.org/10.2478/v10305-012-0023-z
Gjerde, Ø., & Sættem, F. (1999). Causal relations among stock returns and macroeconomic variables in a small, open economy. Journal of International Financial Markets, Institutions and Money, 9(1), 61–74. https://doi.org/10.1016/S1042-4431(98)00036-5
Humpe, A., & Macmillan, P. (2009). Can macroeconomic variables explain long-term stock market movements? A comparison of the US and Japan. Applied Financial Economics, 19(2), 111–119. https://doi.org/10.1080/09603100701748956
Koncevičienė, I., & Janickaitė, D. (2011). Makroekonominių veiksnių įtaka NASDAQ OMX Vilnius listinguojamų įmonių akcijų pelno normoms, 2(22), 93–105.
Laichena, K. E., & Obwogi, T. N. (2015). Effects of macroeconomic variables on stock returns in the East African community stock exchange market. International Journal of Education and Research, 3(10), 305–320.
Marcišauskienė, J., & Cibulskienė, D. (2013). Baltijos šalių makroekonominių rodiklių ir akcijų rinkos kainų tarpusavio ryšio vertinimas. Ekonomika Ir Vadyba: Aktualijos Ir Perspektyvos, 1(29), 51–61.
Ouma, W. N., & Muriu, P. (2014). The Impact of Macroeconomic Variables on Stock Market Returns in Kenya. International Journal of Business and Commerce Www.Ijbcnet.Com International Journal of Business and Commerce, 3(11), 1–31. https://doi.org/10.4038/suslj.v6i1.1689
Rudzkis, R., & Valkavičienė, R. (2014). Econometric models of the impact of macroeconomic processes on the stock market in the Baltic countries. Technological and Economic Development of Economy, 20(4), 783–800. https://doi.org/10.3846/20294913.2014.949901