Correlation vs. causality in stock market comovement

Arbeitspapier

This paper seeks to disentangle the sources of correlations between high-, mid- and low-cap stock indexes from the German prime standard. In principle, such comovement can arise from direct spillover between the variables or due to common factors. By standard means, these different components are obviously not identifiable. As a solution, the underlying study proposes specifying ARCH-type models for both the idiosyncratic innovations and a common factor, so that the model structure can be identified through heteroscedasticity. The seemingly surprising result that smaller caps have higher influence than larger ones is explained by asymmetric information processing in financial markets. Broad macroeconomic information is shown to enter the common factor rather than the segment-specific shocks.

Angaben zum Objekt

• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Series: SFB 649 Discussion Paper ; No. 2007,064

Klassifikation und Themen

• Klassifikation: Wirtschaft ; Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models ; General Financial Markets: General (includes Measurement and Data)
• Thema: Identification ; Spillover ; Common Factor ; Structural EGARCH ; DAX ; Börsenkurs ; Aktienindex ; Marktsegmentierung ; Spillover-Effekt ; Korrelation ; Kausalanalyse ; Deutschland

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Weber, Enzo
• Ereignis: Veröffentlichung
• (wer): Humboldt University of Berlin, Collaborative Research Center 649 - Economic Risk
• (wo): Berlin
• (wann): 2007

Weitere Informationen

• Handle: http://hdl.handle.net/10419/25236
• Letzte Aktualisierung: 10.03.2025, 11:45 MEZ