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This set of statistical methods aids in the instrumentation of a unique symmetric and unbiased estimator to calculate the central moment for a given distribution. For instance, the estimator h can be evaluated as:
1. Both the countries are members of the developed world. Sufficient data is available to carry out the required estimation over an extended period of time. For example, CL, NA, OBS, DEP, etc. were available for Antwerps Beroepskrediet (which is a Belgian cooperative bank) over the years 1998, 2001 and 2004. In the case of Denmark too, similar variety and quantity of critical data were available.
2. The countries are important members of the EU. Both of them share the compact regional economy of the Western Europe. Apart from availability of data, the Belgian and Danish banks are facing several challenges due to expansion of the EU.
3. Both the countries have advanced following the capitalist model of development. The geographical vicinity between them might have caused mutual influence and serious undercurrents in the bilateral relationships.
In the sphere of analysis of banking competition, J. A. Bikker and J. W. B. Bos have eloquently remarked, “In observing trends, we distinguish original causes, subsequent changes in banking behavior and in the structure of financial markets, and final consequences, aware all the while, that this classification may be somewhat arbitrary.” (Bikker, J. A. and Bos, J. W. B., 2008)
In this way, country specific banking behaviour can be put in correlation with financial markets which are profoundly influenced by the bond markets and the quantity of national assets. With the lapse of time, apart from qualitative analysis, quantitative methods too have emerged as tools of critical importance in modern financial research (McCrary, S. A., 2010).
The Panzar-Rosse revenue test to estimate the competitive circumstances and parameters in the realm of banking depends on certain empirical
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