Computational Intelligence for Financial Engineers

Detecting trends and patterns in financial time-series has been of great interest to the finance world for decades. Intelligent computational systems have become indispensable in virtually all financial applications, from portfolio selection to proprietary trading to risk management. Financial engineering is a cross-disciplinary field which relies on computational intelligence, mathematical finance, numerical methods and computer simulations to make trading, hedging and investment decisions, as well as facilitating the risk management of those decisions. Utilizing various methods, practitioners of computational finance aim to precisely determine the financial risk that certain financial instruments create.

The topics of interest in this journal include (but not limited to):

Probabilistic Modeling/Inference
Fuzzy Sets, Rough Sets, & Granular Computing
Intelligent Trading Agents
Trading Room Simulation
Time Series Analysis
Non-linear Dynamics
Financial Data Mining
Trading Business Rules & Dialects
Rules and XBRL for Financial Engineering Applications
Semantic Web and Linked Data for Computer & Engineering Applications & Models

Criteria for publication

Publication of research articles by is dependent primarily on their validity and coherence, as judged by peer reviewers, who are also asked whether the writing is comprehensible and how interesting they consider the article to be.

Speed of publication

We offer a very fast publication schedule while maintaining rigorous peer review; all articles must be submitted online, and peer review is managed fully electronically (articles are distributed in PDF form, which is automatically generated from the submitted files). Articles will be published electronically in manuscript form immediately upon acceptance. A fully structured web version, and accompanying laid out PDF, will be published within a few weeks of acceptance.

Flexibility

As an electronic-based journal, we offer authors the opportunity to publish large data sets, large numbers of illustrations and moving pictures, to display data in a form that can be read directly by other software packages so as to allow readers to manipulate the data for themselves, and to create all relevant links.

Publication Fee

Free

Submission of manuscripts

Manuscripts must be submitted to TCIB electronically. Full details of how to submit a manuscript are given in the instructions for authors.

Indexing and archiving

The full text of each article is immediately and permanently archived in PubMed Central, the US National Library of Medicine’s full-text repository of life science literature. TCIB is in-dexed/tracked/covered by PubMed, MEDLINE, BIOSIS, CAS, EMBASE, Scopus, ACM, CABI and Google Scholar.