An examination of cross-border strategies in banking

The paper examines the process of bank internationalisation and explores how banks become international organisations and what this involves. It also makes an assessment of the significance of their international operations and determines whether banks are truly global organisations. The empirical data are based on the 60 largest banks in the world and content analysis is used to categorise the information into the eight international strategies of Atamer, Calori, Gustavsson, and Menguzzato-Boulard [Internationalisation strategies. In R. Calori, T. Atamer, & P. Nunes (Eds.), The dynamics of international competition – from practice to theory, strategy series (pp. 162–206). London: Sage (2000)] and Bryan, Fraser, Oppenheim, and Rall [Race for the World strategies to build a great global firm. Boston, MA: Harvard Business School Press (1999)]. The findings suggest that the majority of banks focus on countries or geographic regions in which they have some sort of cultural or economic affinity. Moreover, apart from a relatively small number of very large banks, they are international rather than truly global organisations.

abctools: an R package for tuning approximate Bayesian computation analyses

Approximate Bayesian computation (ABC) is a popular family of algorithms which perform approximate parameter inference when numerical evaluation of the likelihood function is not possible but data can be simulated from the model. They return a sample of parameter values which produce simulations close to the observed dataset. A standard approach is to reduce the simulated and observed datasets to vectors of summary statistics and accept when the difference between these is below a specified threshold. ABC can also be adapted to perform model choice. In this article, we present a new software package for R, abctools which provides methods for tuning ABC algorithms. This includes recent dimension reduction algorithms to tune the choice of summary statistics, and coverage methods to tune the choice of threshold. We provide several illustrations of these routines on applications taken from the ABC literature.