On behalf of the Scientific Committee of the de Finetti
Risk Seminars, we are glad to invite you to participate at
the following Lecture
  
Title: Project Evaluation under Uncertainty: From Minimal Martingale
Measures to Implementation.

Speaker: Jorge P. Zubelli (IMPA)

Abstract:
Industrial strategic decisions have evolved tremendously in the last
decades towards a higher degree of quantitative analysis. Such
decisions require taking into account a large number of uncertain
variables and volatile scenarios, much like financial market
investments. Furthermore, they can be evaluated by comparing to
portfolios of investments in financial assets such as in stocks,
derivatives and commodity futures. This revolution led to the
development of a new field of managerial science known as Real
Options.
The use of Real Option techniques incorporates also the value of
flexibility and gives a broader view of many business decisions that
brings in techniques from quantitative finance and risk management.
Such techniques are now part of the decision making process of many
corporations and require a substantial amount of mathematical
background. Yet, there has been substantial debate concerning the use
of risk neutral pricing and hedging arguments to the context of
project evaluation. We discuss some alternatives to risk neutral
pricing that could be suitable to evaluation of projects in a
realistic context with special attention to projects dependent on
commodities and non-hedgeable uncertainties. More precisely, we make
use of a variant of the hedged Monte-Carlo method of Potters, Bouchaud
and Sestovic to tackle strategic decisions. This leads to interesting
numerical analysis questions and to connections with BSDEs.



LOCATION:
The seminar will be held on Thursday, September 17, at 18.00,
Aula di rappresentanza, Dept. of Mathematics, Milano
University, Via C. Saldini 50, Milano. A refreshment will
be offered at 17.30.
Take note that de Finetti Risk Seminars will be held on Thursday only for this talk, while they are usually planned on Wednesday.


Scientific Committee:

Prof. Marco Frittelli (Univ. degli Studi di Milano)
Prof. Fabio Maccheroni (Univ. Bocconi)
Prof. Massimo Marinacci (Univ. Bocconi)
Prof. Emanuela Rosazza Gianin (Univ. Milano-Bicocca)
Dott. Simone Cerreia-Voglio (Univ. Bocconi)
Dott. Marco Maggis (Univ. degli Studi di Milano)


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Emanuela Rosazza Gianin
Dipartimento di Statistica e Metodi Quantitativi
Università di Milano Bicocca
Edificio U7 – 4° Piano
Via Bicocca degli Arcimboldi, 8
20126 Milano
 
Tel. 02 64483208
Fax. 02 64483105
e-mail:
emanuela.rosazza1@unimib.it
 
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