New PDF release: New Issues in Financial Institutions Management (Palgrave

By Franco Fiordelisi, Philip Molyneux, Daniele Previati

ISBN-10: 0230278108

ISBN-13: 9780230278103

This choice of convention papers presents a latest perception into key tendencies impacting at the international monetary zone put up quandary and highlights new coverage and study components affecting banks and different monetary associations. The 4 major issues are: monetary crises, credits task, capital markets and danger administration.

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Extra info for New Issues in Financial Institutions Management (Palgrave MacMillan Studies in Banking and Financial Institutions)

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2 reports the results of the panel data estimations corresponding to the first cluster formed by the EU-11 countries – the more bank-dominated ones – over the period 1999–2007. The number of observations is 99. 3, where the results correspond to the EU-2 cluster of two more market-oriented countries. 1 Dendogram using average linkage Source: Own estimations. 64 Source: Own estimations. 15 (32) Notes: Number of countries: 11. Sample period: 1999–2007. Number of observations: 99. 1 For the GMM method in this context see Arellano and Bover (1995) and Blundell and Bond (1998).

These indicators, while showing a few limits, are widely adopted in the literature. Data are drawn from Bankscope, the database of the Bureau VanDijk which provides homogeneous and comparable accounting information for the different countries concerned. 2). The relationship is positive with R 2 equal to 28 per cent. We obtain similar results by using the natural log of total deposits as a proxy for bank size (R 2 = 29 per cent). Evidence for all countries seems to confirm the theory of Tufano (1989), according to which larger banks are more innovative.

2 To estimate the main determinants for financial development for each of the cluster groups, an empirical form has to provide to the financial structure of each country. Thus, we specify the financial structure per country in each year as a dynamic equation of the form: q yit = ∑ ak yi( t −k ) + b9xit + g t + hi + vit (1) k =1 (t=q+1, ... ,T; i=1, ... ,N) where yit represents the financial structure per country i at year t, the vector xit contains the set of explanatory variables, β indicates the parameters to be estimated and q is the maximum lag in the model.

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New Issues in Financial Institutions Management (Palgrave MacMillan Studies in Banking and Financial Institutions) by Franco Fiordelisi, Philip Molyneux, Daniele Previati

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