Minicourses
René Carmona: Monte Carlo Methods for Financial Instruments with American Exercises
We will first use examples of energy contracts, fixed income exotics and credit hybrids to illustrate the diversity of financial instruments with embedded American optionality. Next we will review the state of the art in Monte Carlo pricing of these contracts, and finally we will present some recent developments in the area. Throughout the course we will emphasize the algorithmic and implementation issues.
Reference
René Carmona, Monte Carlo Methods for Financial
Instruments with American Exercises (very preliminary draft of lecture notes)
Thaleia Zariphopoulou: Portfolio Choice: Theoretical Foundations, Practice and New Directions
This minicourse will consist of three parts:
(i) A concise review of theoretical concepts of utility theory and
portfolio management
(ii) An up to date survey of the investment industry best practice aiming
at exposing the gap between academic and practical methodologies and
approaches
(iii) Recent advances in bridging this gap spanning from abstract
investment problem formulation to practical solutions in portfolio
management
References
1. Thaleia Zariphopoulou, Fundamentals in Optimal Investments (slides of lecture 1)
2. Thaleia Zariphopoulou, Applied portfolio analysis (slides of lecture 2)
3. Thaleia Zariphopoulou, Expected utility models and optimal investments (slides of lecture 3)
4. Thaleia Zariphopoulou, Optimal investments under dynamic performance criteria (slides of lecture 4)
5. Thaleia Zariphopoulou, Investments, wealth and risk tolerance (slides of lecture 5)
Special invited lectures
Thomas Mikosch:
Extremes of financial time series
We consider some standard financial time series models
(GARCH, stochastic volatility model) and study their
potential use for modeling extremal dependence, in particular the
clustering behavior of high and low level exceedances through time.
We will introduce quantitative means to measure extremal dependence,
including the spectral measure, the extremal index and the
coefficient of upper/lower tail dependence.
Reference
Thomas Mikosch, Extremes of Financial Time Series (slides of the lecture)
John Schoenmakers:
Policy iteration for American/Bermudan style derivatives
Effective valuation procedures for high-dimensional American/Bermudan
derivatives are considered a
thorny problem.
In particular standard (e.g. regression) methods reveal limitations in
many-dimensional and
path-dependent problems. In this talk we recapitulate a recent alternative
methodology based on policy iteration. By a popular example, the cancellable
snowball,
we show that allying this new methodology with industrial standard ones may fill
the final gap. This is joint work with C. Bender and A. Kolodko. The talk is based on a couple of papers downloadable from John Schoenmakers's homepage.
Reference.
John Schoenmakers, Policy iterated lower bounds and linear MC
upper bounds for Bermudan style derivatives
Pricing complex structured products (slides of the lecture)
Albert Shiryaev:
On the duality principle in option pricing for semimartingale models
The purpose of our talk is to develop the appropriate mathematical
tools for the study of the call-put duality in option
pricing for models where prices are described by general exponential
semimartingales. Particular cases of these models are the ones which
are driven by Brownian motions and by Lévy processes, which have
been considered in many papers.
Generally speaking the duality principle states that the
calculation of the price of a call option for a model with price
process S = exp(H) (w.r.t. the measure P) is equivalent to the
calculation of the price of a put option for a suitable dual model
S' = exp(H') (w.r.t. a dual measure P').
From our talk it will clear that appealing to general exponential
semimartingale models leads to a deeper insight into the essence of
the duality principle.
Talk is based on the joint work of the author with Ernst Eberlein
and Antonis Papapantoleon.
Short lectures
Jasper Anderluh:
Double Sided Parisian Options
The talk will give an overview of Parisian option pricing from a probabilistic point of view. First, the double sided knock in call contract will be treated, which serves as a general type of Parisian contract from which the others (also the single-sided contract types) can be derived. For this contract a Fourier transform is derived in case the underlying follows the classical Geometric Brownian Motion. The second part of the talk is about hitting time simulation, a Monte-Carlo pricing method for Parisian options, different from the standard path-simulation techniques. The talk concludes with a few numerical examples giving insight into the difference between both the valuation techniques and the different types of Parisian contracts.
Reference
Jasper Anderluh, Double-Sided Parisian Options (slides of the lecture)
Vera Minina:
The Cost of Risk in Option Hedging
The aim of this talk is to present an optimization model for option
pricing and hedging. Our goal is to maximize the expected final payoff
of a hedging portfolio while avoiding the use of utility functions. In
order to make the problem bounded we introduce a punishment for the risk
on the level of portfolio dynamics. The punishment is modeled by a risk
function which may be interpreted as the obligatory transfer of a
certain amount of money (dependent on the total portfolio risk) from the
regular to a reserve bank account which has a lower interest rate. We
present numerical results for a portfolio of options and a simple
example of the risk function.
Reference
Vera Minina and Michel H. Vellekoop (2007), The Cost of Risk in Option Hedging
Budhi Arta Surya:
On Endogeneous Default Under Levy Processes
The purpose of this talk is threefold. Firstly to revisit the previous work of
Leland (1994), Leland and Toft (1996) and Hilberink and Rogers (2002) on optimal
capital structure and show that the issue of choosing an optimal endogenous
bankruptcy level can be dealt with both analytically and numerically when the
underlying source of randomness for the value of the firm's asset is replaced by
general spectrally negative Levy processes (with no positive jumps). Secondly,
by working with the latter class of Levy processes we bring to light a new
phenomena, namely that, depending on the nature of the small jumps, the optimal
default level may be determined by a principle of continuous pasting as opposed
to the usual smooth pasting. Thirdly, we are able to prove the optimality of the
default level according to the appropriate choice of pasting. This improves on
the results of Hilberink and Rogers (2002) who were only able to give a
numerical justification for the case of smooth pasting. Our calculations are
greatly eased by the recent perspective on fluctuation theory of spectrally
negative Levy processes in which many new identities are expressed in terms of
the so called scale functions. The talk will be concluded with a discussion over
the effect of using Levy processes to the term structure of credit spreads.
(This talk is based on the joint work with Andreas Kyprianou.)
References
1. A. E. Kyprianou and B. A. Surya. Principles of Smooth and Continuous
Fit in the Determination of Endogenous Bankruptcy Levels. Finance and
Stochastics (2007), 11, 131-152.
A preprint is also available.
2. B. Hilberink and L.C.G Rogers. Optimal capital structure and endogenous
default. Finance and Stochastics (2002), 6, 237-263.
3. H. E. Leland and K.B. Toft. Optimal capital structure, endogeneous
bankruptcy, and the term structure of credit spreads. J. Finance (1996)
51:9877-1019.
4. Budhi Arta Surya, On Endogeneous Default Under Lévy Processes (slides of the lecture)
Martijn van der Voort:
An Implied Loss Model
We present a model which is, by construction, consistent with observed market
quotes for standard CDO tranches. The model is closely related to implied tree methods which
can be used for valuing exotic equity derivatives consistent with observed
market quotes for
vanilla European call and put options. Rather than modelling default events
for each name
in the basket, the total basket loss is modelled directly and calibrated to
CDO prices by
construction.
The proposed model has multiple important uses. First, the model can be
used as a
tool for avoiding arbitrage opportunities when pricing standard CDO
tranches. This is a
problem which is hard to solve when using the market standard Base
Correlation approach
in combination with interpolation and extrapolation rules. As a result the
proposed model
can be used to determine an arbitrage free distribution for portfolio
losses for all maturities,
which can subsequently be used as input to the more complex HJM type models
which have
recently become popular. Second, it provides us with a straightforward
method for valuing
Forward Starting CDOs, FDOs, consistently with observed market quotes on
CDO tranches.
A number of tests have been performed which have shown that the model
performs well
for pricing FDOs, when compared to a number of different factor copula
models. Moreover,
even under the assumption of heterogeneity of the basket in terms of
recovery rates, the
performance of the model is still impressive.
Apart from performance tests, some additional tests will be presented,
which show that the limited amount of market data still leads to a large
amount of uncertainty in FDO prices.
Finally forward Base Correlation skews implied by the model are considered
and these are
found to be rather stable.
Reference
Martijn van der Voort,
An Implied Loss Model (working paper)
|