Microeconomic co-evolution model for financial technical analysis signals

Physics – Physics and Society

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

26 pages including 12 figures, 2 tables, 63 references, submitted to Physica A

Scientific paper

10.1016/j.physa.2006.04.062

Technical analysis (TA) has been used for a long time before the availability of more sophisticated instruments for financial forecasting in order to suggest decisions on the basis of the occurrence of data patterns. Many mathematical and statistical tools for quantitative analysis of financial markets have experienced a fast and wide growth and have the power for overcoming classical technical analysis methods. This paper aims to give a measure of the reliability of some information used in TA by exploring the probability of their occurrence within a particular $microeconomic$ agent based model of markets, i.e., the co-evolution Bak-Sneppen model originally invented for describing species population evolutions. After having proved the practical interest of such a model in describing financial index so called avalanches, in the prebursting bubble time rise, the attention focuses on the occurrence of trend line detection crossing of meaningful barriers, those that give rise to some usual technical analysis strategies. The case of the NASDAQ crash of April 2000 serves as an illustration.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Microeconomic co-evolution model for financial technical analysis signals does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Microeconomic co-evolution model for financial technical analysis signals, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Microeconomic co-evolution model for financial technical analysis signals will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-243923

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.