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Off the radar: Factors behind the growth of shadow banking in Europe
Institution:1. Department of Economics, Technical University of Ostrava, 17. listopadu St. 15/2172, 708 33 Ostrava, Czech Republic;2. Financial Stability Department, Czech National Bank, Na P?íkopě 28, 115 03 Prague 1, Czech Republic;1. Universidad de Alcalá & EQUALITAS, Departamento de Economía, Facultad de CC. Económicas, Empresariales y Turismo, Universidad de Alcalá, Plaza de la Victoria, 2, 28802 Alcalá de Henares, Madrid, Spain;2. Universidad de Alcalá, Departamento de Economía, Facultad de CC. Económicas, Empresariales y Turismo, Universidad de Alcalá, Plaza de la Victoria, 2, 28802 Alcalá de Henares, Madrid, Spain;1. Staff of the German Council of Economic Experts, Wiesbaden, Germany;2. University of Bonn, Germany;1. Department of Economics, University of Calgary, Canada;2. Department of Economics, University of San Francisco, USA;1. Czech National Bank, Na P?íkopě 28, 115 03 Prague 1, Czech Republic;2. Charles University Prague, Ovocný trh 3-5, 116 36 Prague 1, Czech Republic;3. University of Finance and Administration Prague, Estonská 500/3, 101 00 Praha 10, Czech Republic;1. PBC School of Finance, Tsinghua University, China;2. People''s Bank of China, China;3. North China Sea Data & Information Service, SOA, China
Abstract:This paper uses novel data from the European Central Bank and the Eurosystem on non-bank financial intermediation to investigate the potential factors of shadow banking growth for a panel of twenty-four countries in the European Union (EU). We find that the EU shadow banking system is highly procyclical and positively related to increasing demand by long-term institutional investors and to more stringent capital regulation. We show that individual entities in the shadow banking system can act as both complements and substitutes to traditional banking. In addition, we estimate four country-specific models using a Bayesian estimation method. We supplement the panel model estimates, which serve as a priori information, with data from a specific economy. We assert that, although some shadow banking determinants are uniform across countries, other may have heterogeneous effects across countries because of country-specific characteristics.
Keywords:Bayesian model  Capital regulation  EU countries  Macroeconomic drivers  Shadow banking
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