The objective of data mining is the extraction of knowledge from databases. In practice, one often encounters difficulties with models that are constructed purely by search, without incorporation of knowledge about the domain of application.In economic decision making such as credit loan...

The assessment of knowledge derived from databases depends on many factors. Decision makers often need to convince others about the correctness and effectiveness of knowledge induced from data.The current data mining techniques do not contribute much to this process of persuasion.Part of this...

Two model averaging approaches are used and compared in estimating and forecasting dynamic factor models, the well-known BMA and the recently developed WALS. Both methods propose to combine frequentist estimators using Bayesian weights. We apply our framework to the Armenian economy using...

The classic Kriging variance formula is widely used in geostatistics and in the design and analysis of computer experiments.This paper proves that this formula is wrong.Furthermore, it shows that the formula underestimates the Kriging variance in expectation.The paper develops parametric...

The analysis of non-Gaussian time series using state space models is considered from both classical and Bayesian perspectives. The treatment in both cases is based on simulation using importance sampling and antithetic variables; Monte Carlo Markov chain methods are not employed. Non-Gaussian...

Does better corporate governance unambiguously improve the risk/return efficiency of banks? Or does either a re-orientation of banks' revenue mix towards more opaque products, an economic downturn, or tighter supervision create off-setting or reinforcing effects? The authors relate bank...

In this paper we revisit the long debate on the risk effects of bank competition and propose a new approach to the empirical estimation of the relation between deposit market competition and bank risk. Our approach accounts for the opportunity of banks to shift to wholesale funding when deposit...

In this paper we analyze whether discretionary lending increases bank risk. We use a panel dataset of matched bank and borrower data. It offers the chief advantages that we can directly identify soft information in banks’ lending decisions and that we observe ex post defaults of...

Abstract: The tax-bene t of interest deductibility encourages debt nancing, but regulatory and market constraints create dependency between bank leverage and risk. Using a large international sample of banks this paper estimates the short and long run effects of corporate income taxes (CIT) on...

How do banks react to increased interbank competition?Recent banking theory offers conflicting predictions about the impact of competition on bank orientation í L H WKH choice of relationship based versus transactional banking í DQG EDQN LQGXVWU\ specialization.We empirically investigate the...