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“Price-Quakes” Shaking the World's Stock Exchanges

BACKGROUND: Systemic risk has received much more awareness after the excessive risk taking by major financial instituations pushed the world's financial system into what many considered a state of near systemic failure in 2008. The IMF for example in its yearly 2009 Global Financial Stability R...

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Autores principales: Andersen, Jørgen Vitting, Nowak, Andrzej, Rotundo, Giulia, Parrott, Lael, Martinez, Sebastian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3206807/
https://www.ncbi.nlm.nih.gov/pubmed/22073168
http://dx.doi.org/10.1371/journal.pone.0026472
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author Andersen, Jørgen Vitting
Nowak, Andrzej
Rotundo, Giulia
Parrott, Lael
Martinez, Sebastian
author_facet Andersen, Jørgen Vitting
Nowak, Andrzej
Rotundo, Giulia
Parrott, Lael
Martinez, Sebastian
author_sort Andersen, Jørgen Vitting
collection PubMed
description BACKGROUND: Systemic risk has received much more awareness after the excessive risk taking by major financial instituations pushed the world's financial system into what many considered a state of near systemic failure in 2008. The IMF for example in its yearly 2009 Global Financial Stability Report acknowledged the lack of proper tools and research on the topic. Understanding how disruptions can propagate across financial markets is therefore of utmost importance. METHODOLOGY/PRINCIPAL FINDINGS: Here, we use empirical data to show that the world's markets have a non-linear threshold response to events, consistent with the hypothesis that traders exhibit change blindness. Change blindness is the tendency of humans to ignore small changes and to react disproportionately to large events. As we show, this may be responsible for generating cascading events—pricequakes—in the world's markets. We propose a network model of the world's stock exchanges that predicts how an individual stock exchange should be priced in terms of the performance of the global market of exchanges, but with change blindness included in the pricing. The model has a direct correspondence to models of earth tectonic plate movements developed in physics to describe the slip-stick movement of blocks linked via spring forces. CONCLUSIONS/SIGNIFICANCE: We have shown how the price dynamics of the world's stock exchanges follows a dynamics of build-up and release of stress, similar to earthquakes. The nonlinear response allows us to classify price movements of a given stock index as either being generated internally, due to specific economic news for the country in question, or externally, by the ensemble of the world's stock exchanges reacting together like a complex system. The model may provide new insight into the origins and thereby also prevent systemic risks in the global financial network.
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spelling pubmed-32068072011-11-09 “Price-Quakes” Shaking the World's Stock Exchanges Andersen, Jørgen Vitting Nowak, Andrzej Rotundo, Giulia Parrott, Lael Martinez, Sebastian PLoS One Research Article BACKGROUND: Systemic risk has received much more awareness after the excessive risk taking by major financial instituations pushed the world's financial system into what many considered a state of near systemic failure in 2008. The IMF for example in its yearly 2009 Global Financial Stability Report acknowledged the lack of proper tools and research on the topic. Understanding how disruptions can propagate across financial markets is therefore of utmost importance. METHODOLOGY/PRINCIPAL FINDINGS: Here, we use empirical data to show that the world's markets have a non-linear threshold response to events, consistent with the hypothesis that traders exhibit change blindness. Change blindness is the tendency of humans to ignore small changes and to react disproportionately to large events. As we show, this may be responsible for generating cascading events—pricequakes—in the world's markets. We propose a network model of the world's stock exchanges that predicts how an individual stock exchange should be priced in terms of the performance of the global market of exchanges, but with change blindness included in the pricing. The model has a direct correspondence to models of earth tectonic plate movements developed in physics to describe the slip-stick movement of blocks linked via spring forces. CONCLUSIONS/SIGNIFICANCE: We have shown how the price dynamics of the world's stock exchanges follows a dynamics of build-up and release of stress, similar to earthquakes. The nonlinear response allows us to classify price movements of a given stock index as either being generated internally, due to specific economic news for the country in question, or externally, by the ensemble of the world's stock exchanges reacting together like a complex system. The model may provide new insight into the origins and thereby also prevent systemic risks in the global financial network. Public Library of Science 2011-11-02 /pmc/articles/PMC3206807/ /pubmed/22073168 http://dx.doi.org/10.1371/journal.pone.0026472 Text en Andersen et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Andersen, Jørgen Vitting
Nowak, Andrzej
Rotundo, Giulia
Parrott, Lael
Martinez, Sebastian
“Price-Quakes” Shaking the World's Stock Exchanges
title “Price-Quakes” Shaking the World's Stock Exchanges
title_full “Price-Quakes” Shaking the World's Stock Exchanges
title_fullStr “Price-Quakes” Shaking the World's Stock Exchanges
title_full_unstemmed “Price-Quakes” Shaking the World's Stock Exchanges
title_short “Price-Quakes” Shaking the World's Stock Exchanges
title_sort “price-quakes” shaking the world's stock exchanges
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3206807/
https://www.ncbi.nlm.nih.gov/pubmed/22073168
http://dx.doi.org/10.1371/journal.pone.0026472
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