中文版 | English
Title

The excess volatility puzzle explained by financial noise amplification from endogenous feedbacks

Author
Corresponding AuthorWehrli,Alexander; Sornette,Didier
Publication Years
2022-12-01
DOI
Source Title
ISSN
2045-2322
EISSN
2045-2322
Volume12Issue:1
Abstract

The arguably most important paradox of financial economics—the excess volatility puzzle—first identified by Robert Shiller in 1981 states that asset prices fluctuate much more than information about their fundamental value. We show that this phenomenon is associated with an intrinsic propensity for financial markets to evolve towards instabilities. These properties, exemplified for two major financial markets, the foreign exchange and equity futures markets, can be expected to be generic in other complex systems where excess fluctuations result from the interplay between exogenous driving and endogenous feedback. Using an exact mapping of the key property (volatility/variance) of the price diffusion process onto that of a point process (arrival intensity of price changes), together with a self-excited epidemic model, we introduce a novel decomposition of the volatility of price fluctuations into an exogenous (i.e. efficient) component and an endogenous (i.e. inefficient) excess component. The endogenous excess volatility is found to be substantial, largely stable at longer time scales and thus provides a plausible explanation for the excess volatility puzzle. Our theory rationalises the remarkable fact that small stochastic exogenous fluctuations at the micro-scale of milliseconds to seconds are renormalised into long-term excess volatility with an amplification factor of around 5 for equity futures and 2 for exchange rates, in line with models including economic fundamentals explicitly.

URL[Source Record]
Indexed By
Language
English
SUSTech Authorship
Corresponding
Funding Project
Shenzhen Science and Technology Innovation Commission[GJHZ20210705141805017]
WOS Research Area
Science & Technology - Other Topics
WOS Subject
Multidisciplinary Sciences
WOS Accession No
WOS:000879914800091
Publisher
Scopus EID
2-s2.0-85141461531
Data Source
Scopus
Citation statistics
Cited Times [WOS]:1
Document TypeJournal Article
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/411771
DepartmentInstitute of Risk Analysis Prediction and Management
Affiliation
1.Department of Management,Technology,and Economics,ETH Zurich,Zurich,8092,Switzerland
2.Swiss National Bank,Zurich,Boersenstrasse 15,8001,Switzerland
3.Institute of Risk Analysis,Prediction and Management (Risks-X),Southern University of Science and Technology,Shenzhen,518055,China
4.Swiss Finance Institute,c/o University of Geneva,Geneva 4,40 blvd. Du Pont d’Arve,1211,Switzerland
Corresponding Author AffilicationSouthern University of Science and Technology
Recommended Citation
GB/T 7714
Wehrli,Alexander,Sornette,Didier. The excess volatility puzzle explained by financial noise amplification from endogenous feedbacks[J]. Scientific Reports,2022,12(1).
APA
Wehrli,Alexander,&Sornette,Didier.(2022).The excess volatility puzzle explained by financial noise amplification from endogenous feedbacks.Scientific Reports,12(1).
MLA
Wehrli,Alexander,et al."The excess volatility puzzle explained by financial noise amplification from endogenous feedbacks".Scientific Reports 12.1(2022).
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