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LSE OPERATIONAL RESEARCH DEPARTMENT: RESEARCH SEMINAR
Wednesday May 16, 2001, 5.00pm  -  6.00pm
Room S221, St Clement's building: see
http://www.lse.ac.uk/School/maps/map1.htm and
http://www.lse.ac.uk/School/maps/map3.htm

"Derivative pricing using constant elasticity of variance processes"
Konstantina Armata, Imperial College London

It is common practice in finance to model the evolution of financial
variables such as stocks, interest rates and currencies as a diffusion
process.  The determination of which diffusion process performs best for the
financial variable in question is a matter of empirical and theoretical
investigation.  Constant Elasticity of Variance (CEV) processes is a class
of diffusion processes that have been supported by both empirical evidence
and theoretical arguments as suitable models for the evolution of a wide
range of financial variables.

In this work we use three different CEV processes to price:

a) "Plain Vanilla" options (based on price at a defined time);
b) "Asian" options (based on some average price over a defined period).

In the first case, the option pricing model derived is referred to as an
amended Bachelier model, in honor of Bachelier, who was the first to use a
stochastic process to model the dynamics of a financial variable.  The
amended Bachelier model overcomes two important drawbacks of Bachelier's
original model without altering any of its fundamental assumptions.  In the
second case, we use CEV processes to derive closed form solutions for the
prices and hedging parameters of fixed and floating strike Asian options.

*( Refreshments after the seminar in the Operational Research Department ) *



Dr Peter Sozou
Department of Operational Research
London School of Economics
Houghton Street, London  WC2A 2AE
tel: 020 7955-6234(direct) / 7955-7653(admin)
fax: 020 7955-6885   email: [log in to unmask]


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Dr. David Hardman


Department of Psychology
London Guildhall University
Calcutta House
Old Castle Street
London E1 7NT

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Fax:      +44 020 73201236
E-mail:   [log in to unmask]
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