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The role of pension funds in capital market development in the new EU member states

An empirical panel cointegration approach

Bibliographic Data

ID21281988
AuthorsJordan Kjosevski (0000-0001-9608-4090, S.N Broker, Pitu Guli 5, Ohrid, Republic of Macedonia), Mihail Petkovski (0000-0002-3788-0772, Department of Financial Management, Faculty of Economics, Ss. Cyril and Methodius University, Skopje, Republic of Macedonia), Aleksandar Stojkov (0000-0003-3993-6108, Iustinianus Primus Law Faculty, Ss. Cyril and Methodius University, Skopje, Republic of Macedonia)
Year2023
Volume73
Issue2
Pages251-273
Publication date2023-06-20
Open AccessNo
TypeARTICLE
VenueActa Oeconomica (JOURNAL)
Journal identifiersISSN: 0001-6373 • E-ISSN: 1588-2659
PublisherAkademiai Kiado Zrt. (PUBLISHER • HU)
DOI10.1556/032.2023.00015
OpenAlexW4381511118
LanguageEN
References cited9

The main goal of this paper is to analyse the impact of pension funds on capital market development in 11 new EU member states from Central and Eastern Europe using annual data for the period between 2000 and 2019. Given the geographical, institutional, political and economic differences across these countries, we split them into three homogenous groups: Balkan, Baltic and Visegrad countries. We use three different variables as a proxy for capital markets growth: stock market capitalization, the value of stock traded, and private bond market capitalization. We apply dynamic and fully-modified ordinary least squares to examine the relationship between the variables. The empirical results indicate that pension funds have a positive effect on the bond markets growth in all sub-groups but they do not impact the stock market growth in the Balkan and Baltic countries

Capital market · Capitalization · Cointegration · Econometrics · Economics · Financial economics · Market capitalization · Monetary economics · Ordinary least squares · Pension · Proxy (statistics) · Stock market · Banking stability, regulation, efficiency · Finance · Financial Literacy, Pension, Retirement Analysis · Insurance, Mortality, Demography, Risk Management

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Highly citedNo

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