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

      research-article
      1 , 2 , , 1 , 3 , 4 ,
      Scientific Reports
      Nature Publishing Group UK
      Statistics, Statistical physics, Applied mathematics

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          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.

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          Most cited references66

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          Pattern formation outside of equilibrium

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            Generalized autoregressive conditional heteroskedasticity

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              • Article: not found

              Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation

                Author and article information

                Contributors
                alexander.wehrli@snb.ch
                dsornette@ethz.ch
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                7 November 2022
                7 November 2022
                2022
                : 12
                : 18895
                Affiliations
                [1 ]GRID grid.5801.c, ISNI 0000 0001 2156 2780, Department of Management, Technology, and Economics, , ETH Zurich, ; Zurich, 8092 Switzerland
                [2 ]GRID grid.483622.9, ISNI 0000 0001 0941 3061, Swiss National Bank, ; Boersenstrasse 15, 8001 Zurich, Switzerland
                [3 ]GRID grid.263817.9, ISNI 0000 0004 1773 1790, Institute of Risk Analysis, Prediction and Management (Risks-X), , Southern University of Science and Technology, ; Shenzhen, 518055 China
                [4 ]GRID grid.8591.5, ISNI 0000 0001 2322 4988, Swiss Finance Institute, , c/o University of Geneva, ; 40 blvd. Du Pont d’Arve, 1211 Geneva 4, Switzerland
                Article
                20879
                10.1038/s41598-022-20879-0
                9640597
                36344614
                43983a4a-09d1-42c4-9991-a889f93fa283
                © The Author(s) 2022

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 28 March 2022
                : 20 September 2022
                Categories
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                Custom metadata
                © The Author(s) 2022

                Uncategorized
                statistics,statistical physics,applied mathematics
                Uncategorized
                statistics, statistical physics, applied mathematics

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