Superstatistics with cut-off tails for financial time series
Yusuke Uchiyama and
Takanori Kadoya
Physica A: Statistical Mechanics and its Applications, 2019, vol. 526, issue C
Abstract:
Financial time series have been investigated to follow fat-tailed distributions with truncations. In order to identify the nature of such fluctuations, we proposed a stochastic volatility model by incorporating the cut-off effect in superstatistics. Then we confirm that the proposed stochastic model is capable of describing the statistical properties of real financial time series. In addition, we present an option pricing formula with respect to superstatistics. A new type of anomalous fluctuations is also investigated based on the proposed stochastic model.
Keywords: Financial time series; Stochastic volatility model; Superstatistics; Option pricing; Brownian yet non-Gaussian diffusion (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437119305345
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:526:y:2019:i:c:s0378437119305345
DOI: 10.1016/j.physa.2019.04.166
Access Statistics for this article
Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis
More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().