• Media type: E-Article
  • Title: Better not forget : on the memory of S&P 500 survivor stock companies
  • Contributor: Grobys, Klaus [VerfasserIn]; Han, Yao [VerfasserIn]; Kolari, James W. [VerfasserIn]
  • imprint: 2023
  • Published in: Journal of risk and financial management ; 16(2023), 2 vom: Feb., Artikel-ID 126, Seite 1-16
  • Language: English
  • DOI: 10.3390/jrfm16020126
  • ISSN: 1911-8074
  • Identifier:
  • Keywords: asset pricing ; Hurst exponent ; Paretian tails ; S&P 500 index ; survivor stocks ; Aufsatz in Zeitschrift
  • Origination:
  • Footnote:
  • Description: This study explores the dependency structure of S&P 500 survivor stocks. Using a hand-collected sample of stocks that survived in the S&P 500 since March 1957, we employ rescaled/range analysis to investigate survivors. First, we find nonlinearities in the return processes of survivor stocks due to Paretian tails. Second, the return processes of very long-lived outliers exhibit long-term memories with Hurst exponents that significantly exceed one half on average. Third, sample-split tests reveal that the memory on average has virtually not changed over time—that is, survivor stocks do not forget. Fourth, and last, the long-term memory of survivor stocks appears to be unrelated to their exposures to traditional asset pricing risk factors.
  • Access State: Open Access
  • Rights information: Attribution (CC BY)