title: Record statistics of financial time series and geometric random walks.
abstract: The study of record statistics of correlated series in physics, such as random walks, is gaining momentum, and several analytical results have been obtained in the past few years. In this work, we study the record statistics of correlated empirical data for which random walk models have relevance. We obtain results for the records statistics of select stock market data and the geometric random walk, primarily through simulations. We show that the distribution of the age of records is a power law with the exponent α lying in the range 1.5≤α≤1.8. Further, the longest record ages follow the Fréchet distribution of extreme value theory. The records statistics of geometric random walk series is in good agreement with that obtained from empirical stock data.
authors.affiliation: Indian Institute of Science Education and Research, Dr. Homi Bhabha Road, Pune 411 008, India.
authors.forename: Behlool
authors.initials: B
authors.lastname: Sabir
authors.affiliation: Indian Institute of Science Education and Research, Dr. Homi Bhabha Road, Pune 411 008, India.
authors.forename: M S
authors.initials: MS
authors.lastname: Santhanam
mesh_terms: D005376:Financial Management / Q000706:statistics & numerical data*; D015233:Models, Statistical; D013269:Stochastic Processes; D013997:Time Factors