 A jumping index of jumping stocks? An MCMC analysis of continuous-time models for individual stocksAlessandro Pollastri, Paulo Rodrigues, Christian Schlag and Norman J. Seeger Journal of Empirical Finance, 2023, vol. 70, issue C, 322-341 Abstract: This paper examines continuous-time models for the S&P 100 index and its constituents. We find that the jump process of the typical stock looks significantly different than that of the index. Most importantly, the average size of a jump in the returns of the typical stock is positive, while it is negative for the index. Furthermore, the estimates of the parameters for the stochastic processes exhibit pronounced heterogeneity in the cross-section of stocks. For example, we find that the jump size in returns decreases for larger companies. Finally, we find that a jump in the index is not necessarily accompanied by a large number of contemporaneous jumps in its constituent’s stocks. Indeed, we find index jump days on which only one index constituent also jumps. As a consequence, we show that index jumps can be classified as induced by either synchronous price movements of individual stocks or macroeconomic events. Keywords: Jump-diffusion models; Individual stocks; Markov Chain Monte Carlo (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:empfin:v:70:y:2023:i:c:p:322-341 DOI: 10.1016/j.jempfin.2022.11.007 Access Statistics for this article Journal of Empirical Finance is currently edited by R. T. Baillie, F. C. Palm, Th. J. Vermaelen and C. C. P. Wolff More articles in Journal of Empirical Finance from Elsevier |
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