Next Article in Journal
Next Article in Special Issue
Previous Article in Journal
Previous Article in Special Issue
Entropy 2014, 16(1), 567-581; doi:10.3390/e16010567
Article

Multiscale Model Selection for High-Frequency Financial Data of a Large Tick Stock by Means of the Jensen–Shannon Metric

1
 and 2,3,*
Received: 20 October 2013; in revised form: 18 November 2013 / Accepted: 11 December 2013 / Published: 16 January 2014
(This article belongs to the Special Issue Complex Systems)
View Full-Text   |   Download PDF [368 KB, uploaded 16 January 2014]   |   Browse Figures
Abstract: Modeling financial time series at different time scales is still an open challenge. The choice of a suitable indicator quantifying the distance between the model and the data is therefore of fundamental importance for selecting models. In this paper, we propose a multiscale model selection method based on the Jensen–Shannon distance in order to select the model that is able to better reproduce the distribution of price changes at different time scales. Specifically, we consider the problem of modeling the ultra high frequency dynamics of an asset with a large tick-to-price ratio. We study the price process at different time scales and compute the Jensen–Shannon distance between the original dataset and different models, showing that the coupling between spread and returns is important to model return distribution at different time scales of observation, ranging from the scale of single transactions to the daily time scale.
Keywords: Jensen–Shannon divergence; multiscale analysis; model selection; high frequency financial data; Markov-switching modeling Jensen–Shannon divergence; multiscale analysis; model selection; high frequency financial data; Markov-switching modeling
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Export to BibTeX |
EndNote


MDPI and ACS Style

Curato, G.; Lillo, F. Multiscale Model Selection for High-Frequency Financial Data of a Large Tick Stock by Means of the Jensen–Shannon Metric. Entropy 2014, 16, 567-581.

AMA Style

Curato G, Lillo F. Multiscale Model Selection for High-Frequency Financial Data of a Large Tick Stock by Means of the Jensen–Shannon Metric. Entropy. 2014; 16(1):567-581.

Chicago/Turabian Style

Curato, Gianbiagio; Lillo, Fabrizio. 2014. "Multiscale Model Selection for High-Frequency Financial Data of a Large Tick Stock by Means of the Jensen–Shannon Metric." Entropy 16, no. 1: 567-581.


Entropy EISSN 1099-4300 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert