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Impact of Stock Markets on the Economy in the V4 Countries Radmila Krkošková1

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Impact of Stock Markets on the Economy in the V4 Countries Radmila Krkošková1 Finance IMPACT OF STOCK MARKETS ON THE ECONOMY IN THE V4 COUNTRIES Radmila Krkošková1 1 Silesian University in Opava, School of Business Administration in Karviná, Department of Informatics and Mathematics, ORCID: 0000-0002-4977-0060, [email protected]. Abstract: The performance of the economy should generally reflect the performance of stock markets. Production increases, prices rise, and companies’ profits increase if the economy grows. And the shares should naturally make the profits (which means among other things, higher dividends) even more attractive. But is that really true? The aim of the article is to find out the relationship between the development of stock markets and the economic growth in Visegrad Group countries (V4). The subject of the survey is both the long-term relationship and the short-term relationship in the course of economic cycles. The article uses the tools of time series econometrics, especially VECMs, including corresponding diagnostics, Granger causality and block erogeneity. The relationships between the variables examined vary from country to country. The long-term relationship between the development of stock markets and the economic growth was confirmed in Slovakia and Hungary. It was confirmed that the GDP growth rate influenced the growth rate of stock indices in all V4 countries. The opposite relationship (the stock index growth rate influences the GDP growth rate) was not confirmed only in the Czech Republic. Quarterly data for the period from 2005/Q1 to 2018/Q4 was used for the analysis. This period was selected because all of the V4 countries have been members of the European Union since 2004. The EViews software version 9 was used for the calculations. Variables used in this research are: the GDP, the stock exchange index of the country and stock trading volume. The PX, SAX, BUX and WIG20 stock indices are considered to be the crucial representatives of individual stock markets in this work. Keywords: ADF test of stationarity, Granger causality, impulse-response analysis, stock market, VECM, V4. JEL Classification: C19, C50, D53. APA Style Citation: Krkošková, R. (2020). Impact of Stock Markets on the Economy in V4 Countries. E&M Economics and Management, 23(3), 138–154. https://doi.org/10.15240/ tul/001/2020-3-009 Introduction foreign-policy activities increased significantly The objectives and common interests of the and the group focused on promoting cooperation V4 countries were described in the Visegrad and stability in the wider Central European Declaration (1991). One of the objectives region. The article dealt with the effects of the was to create favorable conditions for direct stock market on the economy in individual cooperation between enterprises, for foreign countries and discusses the relationship capital investment, for the development of between the GDP, the stock trading volume and financial and stock markets. And this is the the index rate. The goal of this paper is to find if reason why the countries of V4 were selected exists the long-term relationship and the short- for the analysis. The paper could confirm the term relationship between variables. Why is the relationship between the development of stock mutual dependence of the GDP and income markets and the economic growth in the V4. from shares different in the V4 countries? Following the admission of the V4 countries to The relation between macroeconomic the European Union in 2004, Visegrad Four’s variables and the movement of stock prices 138 2020, XXIII, 3 DOI: 10.15240/tul/001/2020-3-009 EM_3_2020.indd 138 27.08.2020 13:31:15 Finance has been documented well in the literature Kingdom, France, Germany, and Japan. The over the last several decades. It is often argued results differed for each country. that stock prices are determined by some In their articles, Caporale, Howells and Soliman fundamental macroeconomic variables. This (2004), Dritsaki and Bargiota (2004) deal with work is based on the fact that stock quotes the causal relationship between stock and credit respond to events that affect the equity and markets and economic developments in the Greek economic markets before GDP. The long-term economy. They use the VAR model for monthly relationship between the development of stock data from 1988 to 2002, along with the Granger markets and the economic growth was not causality tests and the Johansen cointegration test. confirmed in all countries. The results show that there is one cointegrated This article is divided into five parts. The vector among the variables examined. introduction explains why the V4 countries Caporale, Howells and Soliman (2004) were selected for the analysis. The first chapter use the VAR model to study the relationships contains a review of literature. The second part between stock markets, investment and the describes the econometric methods used. The economic growth for seven selected countries: third part describes the economic development Argentina, Chile, Greece, Korea, Malaysia, and development of individual the V4 markets Philippines and Portugal, with quarterly data in the period from 2005 to 2018. The core of from 1977 to 1998. The aim of the work was to this article is the fourth chapter dealing with find out whether earlier works not including the modelling for each country which is performed stock market had misleading results. here separately. The results of the work are Ndako (2010) examines the relationship presented in the conclusion. between equity markets, banks and economic growth with the VECM model on the quarterly 1. Literature Review time series from 1983 to 2007 for South Africa. Most authors currently believe that financial His results indicate the presence of bi-directional markets positively contribute to the economic causality and the importance of the role of growth as discussed in the work by, for example, financial sector in the South African economy. Bekaert and Harvey (1998) of financial markets. Vazikidis and Adamopoulos (2009) use the There are different views of Arestis, VECM model to analyse the economy of France Demetriades and Luintel (2001) and others. in the 1965–2007 period. They are primarily According to them, the economic growth rate concerned with the question whether stock can be maintained without the existence of market development causes the economic technological development, mainly due to growth or vice versa. the influence and the importance of financial The paper by Megaravalli, Sampagnaro markets for the economic growth. Bekaert and and Murray (2018) emphasizes the impact of Harvey (1998) are of the opinion that authors macroeconomic variables on the stock market who assert that the existence of stock markets performance of a developing economy (India is of little importance for real economic growth, and China) and a developed economy (Japan). forget the several roles that equity markets hold. In the short run, there is no statistically significant One of these roles is the ability to diversify. relationship between macroeconomic variables Olweny and Kimani (2011), Wanzala, Muturi and stock markets. Erdem and Arslan (2005) and Olweny (2017) attach importance to stock study effects of macroeconomic variables markets in combination with the economic on Istanbul stock exchange indexes and growth because they enable corporations and Pal and Mittal (2011) deal with the impact of governments to accumulate long-term capital macroeconomic indicators on Indian capital and hence fund new projects. markets. Hsing and Hsieh (2012) deal with Arestis, Demetriades and Luintel (2001) impacts of macroeconomic variables on the show in their empirical analysis that stock stock market index in Poland. Ho, Odhiambo markets can contribute to the long-term and Millan (2018) analyse the macroeconomic economic growth, but their impact is only part drivers of stock market development in of the influence of the banking system. The the Philippines, Pilinkus (2010) evaluates authors examined quarterly time series from macroeconomic indicators and their impact 1968 to 1998 in the fully developed economies on stock market performance in the short and of the following countries: the USA, the United long run in the case of the Baltic countries. 3, XXIII, 2020 139 EM_3_2020.indd 139 27.08.2020 13:31:15 Finance Marques et al. (2013) analyse this relationship from 2008 to 2014. The current state of the in the case of Portugal. Cherif and Gazdar GDP development shows that all economies (2010) explore the institutional determinants have been able to restore the growth trend. for financial development in the countries of the Middle East and North African region. 2. Method Other articles dealing with V4 issues 2.1 VAR/VECM Model are, for example, the following. Růčková The Vector Autoregressive Model (VAR) and (2015) evaluates whether there is a functional the Vector Error Correction Model (VECM) dependency between the used financial make it possible to express and analyse sources and the reported rate of return on a simultaneous relation between the variables. equity. The relationship between the real gross Arlt (1999) states that VAR analysis is based on domestic product and the unemployment rate the idea that all the variables used to analyse during the economic crisis in the countries of a selected dependency are random and V4 is analysed in the paper Tvrdoň (2016). The simultaneously dependent. This means that stock market integration of V4 and G7 countries the model structure contains only endogenous is examined in the paper Baumöl (2014). The variables (except the deterministic components research showed that during the recent financial of the model), with their maximum delay time crisis, conditional correlations between the being the same (Juselius, 2006). states of V4 have increased more significantly Time series can be analysed based on their than after the entry of the states of V4 into the short-term and long-term relations. If there is European Union. The paper by Nežinský and only a short-term relation between the time Baláž (2016) examines the predictive power series, the VAR model is a sufficient tool for of the confidence indicators for developments analysing this relation.
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