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CFEnetwork: Aims

Computational and Financial Econometrics (CFEnetwork) is an autonomous group linked to CMStatistics. This network will enhance the interface of theoretical and applied econometrics, financial econometrics and computation in order to advance a powerful interdisciplinary research field with immediate applications. The aim are in line of those of CMStatistics, that is: first, to consolidate the research in computational and financial econometrics that is scattered throughout Europe; second to provide researches with a network from which they can obtain an unrivalled sources of information about the most recent developments in computational and financial econometrics as well as its applications; third to edit quality publications of high impact and significance.

The CFEnetwork is currently publishing the Annals of Computational and Financial Econometrics as a supplement to the journal Computational Statistics and Data Analysis.

Click on the following link if you wish to become a member of CFEnetwork. For further information please contact info@cfenetwork.org.

CFEnetwork: Scope
Computational and financial econometrics comprise a broad field that has clearly interested a wide variety of researchers in economics, finance, statistics, mathematics and computing. Examples include estimation and inference on econometric models, model selection, panel data, measurement error, Bayesian methods, time series analyses, portfolio allocation, option pricing, quantitative risk management, systemic risk and market microstructure, to name but a few. While such studies are often theoretical, they can also have a strong empirical element measuring risk and return and often have a significant computational aspect dealing with issues like high-dimensionality and large numbers of observations. Algorithmic developments are also of interest since existing algorithms often do not utilize the best computational techniques for efficiency, stability, or conditioning. So also are developments of environments for conducting econometrics, which are inherently computer based. Integrated econometrics packages have grown well over the years, but still have much room for development.