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)
****************************************************
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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