IDEAS home Printed from https://ideas.repec.org/p/trt/aleatr/004.html
   My bibliography  Save this paper

Capire la volatilità con il modello binomiale

Author

Listed:
  • Luca Erzegovesi

    (DISA, Faculty of Economics, Trento University)

Abstract

Questo lavoro si propone di illustrare i concetti basilari dell'arbitrage pricing degli strumenti finanziari derivati mediante semplici modelli a tempo discreto che non richiedono nozioni di calcolo differenziale. In particolare si analizzano le proprietà statistiche dei prezzi e dei ritorni finanziari (valore atteso, varianza, deviazione standard) con riferimento alle distribuzioni "vera" e neutrale al rischio. Si sottolinea la mutua dipendenza tra praticabilità della strategia di replica autofinanziante di uno strumento derivato e possibilità di definire una ragionevole distribuzione neutrale al rischio dal processo del sottostante. Si evidenzia come la volatilità implicita nel prezzo delle opzioni sia una misura del compenso equo per i costi delle strategie di replica e, al tempo stesso, valendo le ipotesi limitative dei modelli canonici, una stima della volatilità attesa della vera distribuzione.

Suggested Citation

  • 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.
  • Handle: RePEc:trt:aleatr:004
    as

    Download full text from publisher

    File URL: http://www.unitn.it/files/download/19362/alea004.pdf
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Enrico Zaninotto & Alessandro Rossi & Loris Gaio, 1999. "Stochastic Learning in Co-ordination Games: a Simulation Approach," ROCK Working Papers 001, Department of Computer and Management Sciences, University of Trento, Italy, revised 21 May 1999.
    2. 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.
    3. 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.
    4. 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.
    5. 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.

    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:004. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.