This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Information about:
Massimo Tavoni

Personal Details | Affiliation | Works
This is information that was supplied by Massimo Tavoni in registering through RePEc. If you are Massimo Tavoni , you may change this information at RePEc. Or if you are not registered and would like to be listed as well, register at RePEc. When you register or update your RePEc registration, you may identify the papers and articles you have authored.

Other registered authors

Personal Details

First Name: Massimo
Middle Name:
Last Name: Tavoni
Suffix:

RePEc Short-ID: pta48

Email:
Homepage:
Postal Address: FEEM, C.so Magenta 63, 20123 Milano, Italy
Phone:

Affiliation

(in no particular order)

Works

| Working papers | Access and download statistics | Citations (if any)| NEP Fields |
Download all references for this author: available formats: HTML (with abstracts), plain text (with abstracts), BibTeX, RIS (EndNote), ReDIF

Working papers

  1. Pietro Rossi & Massimo Tavoni & Flavio Cocco & Robert Marschinski, 2002. "Portfolio Selection with Probabilistic Utility, Bayesian Statistics, and Markov Chain Monte Carlo," Finance 0211003, EconWPA, revised 28 Nov 2002. [Downloadable!]

NEP Fields

1 paper by this author was announced in NEP, and specifically in the following field reports (number of papers):
  1. NEP-CFN: Corporate Finance (1) 2002-11-28 Author is listed
  2. NEP-CMP: Computational Economics (1) 2002-11-28 Author is listed
  3. NEP-FIN: Finance (1) 2002-11-28 Author is listed
  4. NEP-IFN: International Finance (1) 2002-11-28 Author is listed
  5. NEP-RMG: Risk Management (1) 2002-11-28 Author is listed
Did you know? IDEAS also indexes books.

This page was last updated on 2009-10-27.

This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.