When No News is Good News: Multidimensional Heterogeneous Beliefs in Financial Markets
Can Gao and
Brandon Yueyang Han
Additional contact information
Can Gao: University of St.Gallen; Swiss Finance Institute; Swisss Institute for Banking and Finance
Brandon Yueyang Han: Robert H. Smith School of Business, University of Maryland
No 25-61, Swiss Finance Institute Research Paper Series from Swiss Finance Institute
Abstract:
We demonstrate the asset pricing implications of investors’ belief heterogeneity in the frequency of news arrival and its joint impact with heterogeneous beliefs about news content. Investors trade volatility derivatives against each other to speculate on the rate of news arrival: greater disagreement of this kind gives rise to more extreme derivative positions. When disagreement about news arrival frequency is low, volatility exhibits mean reversion because extreme optimists and pessimists incur substantial wealth losses amid intense market swings. In contrast, high disagreement about the news arrival rate leads to volatility persistence. When news is absent in such environments, volatility sellers dominate, and extreme payoffs are underweighted in the formation of market expectations, resulting in lower implied volatility. In this context, “no news” effectively becomes good news for risky asset valuations.
JEL-codes: D83 D84 G11 G12 (search for similar items in EconPapers)
Pages: 53 pages
Date: 2025-07
New Economics Papers: this item is included in nep-fmk and nep-mst
References: Add references at CitEc
Citations:
Downloads: (external link)
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5332438 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:chf:rpseri:rp2561
Access Statistics for this paper
More papers in Swiss Finance Institute Research Paper Series from Swiss Finance Institute Contact information at EDIRC.
Bibliographic data for series maintained by Ridima Mittal ().