In today’s business environment, concerns relating to privacy are increasingly an important area of risk management. Myriad regulations affecting the privacy of consumer and employee information are deeply affecting how businesses plan for and execute their day-to-day activities.

Transforming raw data into information and then to intelligence is crucial to effective business strategy and can add substantial value to business operations. In the rapidly changing financial services environment, higher decision intelligence enables optimum use of capital and impacts...

In a world awash with data, it is surprising that important decisions would ever be made in the absence of data. However, the paucity of widely available research-oriented databases of our rapidly changing financial markets critically limits academically- rigorous preemptive investigations. Too...

We analyze a unique dataset to test an empirical model of retail bank fee determinants in five Central European countries. Due to the data structure we can cope with heterogeneity and cross-subsidization by employing a representative fee index instead of using variables associated with...

In the aftermath of the financial crisis, there is interest in reforming bank regulation such that capital requirements are more closely linked to a bank's contribution to the overall risk of the financial system. In our paper we compare alternative mechanisms for allocating the overall risk of...

The revised Basel Capital Accord requires banks to meet a capital requirement for operational risk as part of an overall risk-based capital framework. Three distinct options for calculating operational risk charges are proposed (Basic Approach, Standardised Approach, Advanced Measurement...

In this paper we suggest a new approach to risk assessment for banks. Rather than looking at them individually we try to undertake an analysis at the level of the banking system. Such a perspective is necessary because the complicated network of mutual credit obligations can make the actual risk...

We propose a new method for the analysis of systemic stability of a banking system relying mostly on market data. We model both asset correlations and interlinkages from interbank borrowing so that our analysis gauges two major sources of systemic risk: correlated exposures and mutual credit...

We look at the effect of capital rules on a banking system that is connected through correlated credit exposures and interbank lending. The rules, which combine individual bank characteristics and interconnectivity measures of interbank lending, are to minimize a measure of system-wide losses....

Outlier detection in high-dimensional datasets poses new challenges that have not been investigated in the literature. In this paper, we present an integrated methodology for the identification of outliers which is suitable for datasets with higher number of variables than observations. Our...