IDEAS home Printed from https://ideas.repec.org/p/trt/aleatr/007.html
   My bibliography  Save this paper

I mercati finanziari come sistemi complessi: il modello di Vaga

Author

Listed:
  • Gianni Degasperi
  • Luca Erzegovesi

    (DISA, Faculty of Economics, Trento University)

Abstract

Il paper si propone di presentare i concetti fondamentali e le applicazioni di alcune promettenti teorie intese a rappresentare i mercati finanziari come sistemi dinamici complessi che evolvono tra diversi stati, caratterizzati da distinte configurazioni di rendimento e rischio. In particolare ci si sofferma sul modello del mercato azionario di Vaga, basato sul modello del ferromagnetismo di Ising, evidenziandone le possibili applicazioni all'analisi e alla previsione della volatilità.

Suggested Citation

  • Gianni Degasperi & Luca Erzegovesi, 1999. "I mercati finanziari come sistemi complessi: il modello di Vaga," Alea Tech Reports 007, Department of Computer and Management Sciences, University of Trento, Italy, revised 14 Jun 2008.
    • Handle: RePEc:trt:aleatr:007
    as

    Download full text from publisher

    File URL: http://www.unitn.it/files/download/19362/alea007.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mantegna,Rosario N. & Stanley,H. Eugene, 2007. "Introduction to Econophysics," Cambridge Books, Cambridge University Press, number 9780521039871, November.
    2. Luca Erzegovesi, 1999. "Capire la volatilità con il modello binomiale," Alea Tech Reports 004, Department of Computer and Management Sciences, University of Trento, Italy, revised 14 Jun 2008.
    3. Luca Erzegovesi, 1999. "Rischio e incertezza in finanza: classificazione e logiche di gestione," Alea Tech Reports 006, Department of Computer and Management Sciences, University of Trento, Italy, revised 14 Jun 2008.
    4. Hsieh, David A, 1991. "Chaos and Nonlinear Dynamics: Application to Financial Markets," Journal of Finance, American Finance Association, vol. 46(5), pages 1839-1877, December.
    5. Alessandro Beber, 1999. "Introduzione all'analisi tecnica," Alea Tech Reports 002, Department of Computer and Management Sciences, University of Trento, Italy, revised 14 Jun 2008.
    6. Alessandro Beber, 1999. "Il dibattito su dignità ed efficacia dell'analisi tecnica nell'economia finanziaria," Alea Tech Reports 003, Department of Computer and Management Sciences, University of Trento, Italy, revised 14 Jun 2008.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Enrico Zaninotto & Alessandro Rossi & Loris Gaio, 1999. "Stochastic learning in coordination games: a simulation approach," Quaderni DISA 015, Department of Computer and Management Sciences, University of Trento, Italy, revised 29 Jun 2003.
    2. Marco Filagrana, 2002. "Il model risk nella gestione dei rischi di mercato," Alea Tech Reports 015, Department of Computer and Management Sciences, University of Trento, Italy, revised 14 Jun 2008.
    3. Gianni Degasperi, 1999. "La dinamica delle crisi finanziarie: i modelli di Minsky e Kindleberger," Alea Tech Reports 005, Department of Computer and Management Sciences, University of Trento, Italy, revised 14 Jun 2008.
    4. Luca Erzegovesi, 2002. "VaR and Liquidity Risk.Impact on Market Behaviour and Measurement Issues," Alea Tech Reports 014, Department of Computer and Management Sciences, University of Trento, Italy, revised 14 Jun 2008.
    5. Dimitri O. Ledenyov & Viktor O. Ledenyov, 2013. "On the optimal allocation of assets in investment portfolio with application of modern portfolio and nonlinear dynamic chaos theories in investment, commercial and central banks," Papers 1301.4881, arXiv.org, revised Feb 2013.
    6. Gordon R. Richards, 2004. "A fractal forecasting model for financial time series," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(8), pages 586-601.
    7. Luca Erzegovesi, 1999. "Rischio e incertezza in finanza: classificazione e logiche di gestione," Alea Tech Reports 006, Department of Computer and Management Sciences, University of Trento, Italy, revised 14 Jun 2008.
    8. Kian-Ping Lim & Melvin J. Hinich & Venus Khim-Sen Liew, 2005. "Statistical Inadequacy of GARCH Models for Asian Stock Markets," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 4(3), pages 263-279, December.
    9. Sabrina Camargo & Silvio M. Duarte Queiros & Celia Anteneodo, 2013. "Bridging stylized facts in finance and data non-stationarities," Papers 1302.3197, arXiv.org, revised May 2013.
    10. Assaf Almog & Ferry Besamusca & Mel MacMahon & Diego Garlaschelli, 2015. "Mesoscopic Community Structure of Financial Markets Revealed by Price and Sign Fluctuations," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-16, July.
    11. Laleh Tafakori & Armin Pourkhanali & Riccardo Rastelli, 2022. "Measuring systemic risk and contagion in the European financial network," Empirical Economics, Springer, vol. 63(1), pages 345-389, July.
    12. Alves, L.G.A. & Ribeiro, H.V. & Lenzi, E.K. & Mendes, R.S., 2014. "Empirical analysis on the connection between power-law distributions and allometries for urban indicators," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 409(C), pages 175-182.
    13. Muchnik, Lev & Bunde, Armin & Havlin, Shlomo, 2009. "Long term memory in extreme returns of financial time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(19), pages 4145-4150.
    14. Zhang, Chao & Huang, Lu, 2010. "A quantum model for the stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(24), pages 5769-5775.
    15. Michelle B Graczyk & Sílvio M Duarte Queirós, 2017. "Intraday seasonalities and nonstationarity of trading volume in financial markets: Collective features," PLOS ONE, Public Library of Science, vol. 12(7), pages 1-23, July.
    16. Kutner, Ryszard & Wysocki, Krzysztof, 1999. "Applications of statistical mechanics to non-brownian random motion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 274(1), pages 67-84.
    17. Lee, Jae Woo & Eun Lee, Kyoung & Arne Rikvold, Per, 2006. "Multifractal behavior of the Korean stock-market index KOSPI," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 364(C), pages 355-361.
    18. Dutta, Shantanu & Essaddam, Naceur & Kumar, Vinod & Saadi, Samir, 2017. "How does electronic trading affect efficiency of stock market and conditional volatility? Evidence from Toronto Stock Exchange," Research in International Business and Finance, Elsevier, vol. 39(PB), pages 867-877.
    19. Zhang, J.W. & Zhang, Y. & Kleinert, H., 2007. "Power tails of index distributions in chinese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 377(1), pages 166-172.
    20. A. Corcos & J-P Eckmann & A. Malaspinas & Y. Malevergne & D. Sornette, 2002. "Imitation and contrarian behaviour: hyperbolic bubbles, crashes and chaos," Quantitative Finance, Taylor & Francis Journals, vol. 2(4), pages 264-281.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:trt:aleatr:007. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Luca Erzegovesi (email available below). General contact details of provider: https://edirc.repec.org/data/ditreit.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.