An Application of the SRA Copulas Approach to Price-Volume Research

The objective of this study was to apply the Sadegh, Ragno, and AghaKouchak (SRA) approach to the field of quantitative finance by analyzing, for the first time, the relationship between price and trading volume of the securities using four stock market indices: DJIA, FOOTSIE100, NIKKEI225, and IBEX...

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Bibliographic Details
Published in:Mathematics (Basel) 2020-11, Vol.8 (11), p.1864
Main Authors: Martín Cervantes, Pedro Antonio, Cruz Rambaud, Salvador, Valls Martínez, María del Carmen
Format: Article
Language:English
Subjects:
copulas
financial markets
local optima vs. local minima
Markov Chain Monte Carlo simulation
SRA approach
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Summary:The objective of this study was to apply the Sadegh, Ragno, and AghaKouchak (SRA) approach to the field of quantitative finance by analyzing, for the first time, the relationship between price and trading volume of the securities using four stock market indices: DJIA, FOOTSIE100, NIKKEI225, and IBEX35. This procedure is a completely new methodology in finance that consists of the application of a Bayesian framework and the development of a hybrid evolution algorithm of the Markov Chain Monte Carlo (MCMC) method to analyze a large number (26) of parametric copulas. With respect to the DJIA, the Joe’s copula is the one that most efficiently models its succinct dependence structures. One of the copulas included in the SRA approach, the Tawn’s copula, is jointly adjusted to the FOOTSIE100, NIKKEI225, and IBEX 35 indices to analyze the asymmetric relationship between price and trading volume. This adjustment can be considered almost perfect for the NIKKEI225, and a relatively different characterization for the IBEX35 seems to indicate the existence of endogenous patterns in the price and volume.
ISSN:2227-7390
2227-7390
DOI:10.3390/math8111864