Abstract

We consider the one minute time series of the Korean stock market index (KOSPI). We defined the persisting time as the time interval when the index remains above (or below) an initial index. We observed that the average persistence probability P ( t ) followed a power-law behavior like P ( t ) ∼ t − θ with the persistence exponent θ = 0.477 ( 2 ) . The persistence exponent in the Korean stock market deviates slightly from a random process. The Korean stock market has shown a weak anti-persistence. We measured the persistence properties of the stock market by the generalized price–price correlation function F q ( t ) . The price–price correlation function followed a power law, F q ( t ) ∼ t h q , where h q is called the generalized Hurst exponent. The generalized Hurst exponent depends on the order q which means that there are multiscaling properties in the time series of the stock index. We observed the relationship θ + h 2 = 1 between the error bars where h 2 is the fractal dimension of the time series.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.