Computational Statistics is an international journal that fosters the publication of applications and methodological research in the field of computational statistics. In this article, we will discuss the motivation, history, some specialties, and the future scope of this journal. --...

Klein (2000) advocates the use of the Schur decomposition of a matrix pencil to solve linear rational expectations (RE) models. Meanwhile his algorithm has become a center piece in several computer codes that provide approximate solutions to (non-linear) dynamic stochastic general equilibrium...

Six permutation test algorithms coded in SAS® are compared. The fastest (“OPDN”), which uses no modules beyond Base SAS®, achieves speed increases orders of magnitude faster than the relevant “built-in” SAS® procedures (over 215x faster than Proc SurveySelect, over 350x faster than...

Seven bootstrap algorithms coded in SAS® are compared. The fastest (“OPDY”), which uses no modules beyond Base SAS®, achieves speed increases almost two orders of magnitude faster (over 80x faster) than the relevant "built-in” SAS® procedure (Proc SurveySelect). It is even much faster...

This paper provides a description of the proposed discipline of Financial Informatics. Financial Informatics is the application of Computer and Information Science to the storage, retrieval and processing of financial data. Given the ever increasing complexity of the financial marketplace,...

This paper presents a proposal for evaluating real options. The existing models are not widely used by corporate managers as they are formally complex, rather difficult to understand and rest on strong implicit assumptions. We propose a possible alternative by using a fuzzy expert system that...

This paper makes use of a fuzzy expert system to evaluate a strategic investment. In particular, the model proposed aims at replicating the actual decision process accomplished by Florim S.p.a., an Italian ceramic tile firm which recently had the opportunity of buying a firm in the USA. The...

We estimate time varying risk sensitivities on a wide range of stocks' portfolios of the US market. We empirically test, on a 1926-2004 Monthly CRSP database, a classic one factor model augmented with a time varying specification of betas. Using a Kalman filter based on a genetic algorithm, we...

The development and use of forward-looking macro models in policymaking institutions has proceeded at a pace much slower than predicted in the early 1980s. An important reason is that researchers have not had access to robust and efficient solution techniques for solving nonlinear...

In this study, we consider multi-period portfolio optimization model that is formulated as a mixed-integer second-order cone programming problems (MISOCPs). The Markowitz (1952) mean/variance framework has been extended by including transaction costs, conditional value-at-risk (CVaR),...