Recurrence Plot and Recurrence Quantification Analysis Techniques for Detecting a Critical Regime. Examples from Financial Market Indices

Physics – Condensed Matter – Statistical Mechanics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

review paper, submitted to Int.. J. Mod. Phys. C: Comput. Phys.; 32 pages, 22 figures, 5 tables, 43 refs

Scientific paper

10.1142/S0129183105007492

Recurrence Plot (RP) and Recurrence Quantification Analysis (RQA) are signal numerical analysis methodologies able to work with non linear dynamical systems and non stationarity. Moreover they well evidence changes in the states of a dynamical system. We recall their features and give practical recipes. It is shown that RP and RQA detect the critical regime in financial indices (in analogy with phase transition) before a bubble bursts, whence allowing to estimate the bubble initial time. The analysis is made on DAX and NASDAQ daily closing price between Jan. 1998 and Nov. 2003. DAX is studied in order to set-up overall considerations, and as a support for deducing technical rules. The NASDAQ bubble initial time has been estimated to be on Oct. 19, 1999.

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

Recurrence Plot and Recurrence Quantification Analysis Techniques for Detecting a Critical Regime. Examples from Financial Market Indices 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 Recurrence Plot and Recurrence Quantification Analysis Techniques for Detecting a Critical Regime. Examples from Financial Market Indices, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Recurrence Plot and Recurrence Quantification Analysis Techniques for Detecting a Critical Regime. Examples from Financial Market Indices will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-346723

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