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Hans Buehler
buehler@math tu-berlin de
(SSRN,
LinkedIn)
1998-2001 Co-founder codex design software,
Berlin
2001 Msc in Stochastic Analysis and Finance, Humboldt
University, thesis Zur Struktur Brownscher Filtrationen,
Prof. Hans Föllmer,
Berlin
2006 PhD in Financial Mathematics, Technical
University, thesis Volatility Markets, Prof. Alexander
Schied, Berlin
2001-June 2008: Global head of Equity Derivatives Quantitative Research (QPA),
Deutsche Bank, London
June 2008 - Sep 2010: Asian head of Equities Quantitative Research,
JP Morgan Chase, Hong Kong
Since Sep 2010: EMEA head of Equities Quantitative Research,
JP Morgan Chase, London
Areas of interest:
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The link between classical derivatives and cash/statistical methods
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Hedging and active Risk-Managament
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Imperfect hedging
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Options on variance and implied variance, volatility swaps, stochastic local
volatility
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Funding
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Product Industrialization
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Backtesting
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Derivatives Risk Anatomy
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Parallel Processing
Books
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Volatility Markets
Revised and update version of my PhD thesis in print, incorporating new results
presented since the publication of the thesis itself, in particular on the
subject of "fitted models". A particlar section of "Fitted Heston" goes beyond
the material presented in "Equity Hybrid Derivatives".
VDM Verlag Dr. Müller, 2009
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Equity Hybrid Derivatives
(with M.Overhaus, A.Bermudez, A.Ferraris, C.Jordinson, A.Lamnouar)
The fourth book of the Deutsche Bank GME
Quantitative Products Analytics team (formerly Global Quantitiative
Research) covers a wide range equity modelling issues in general - such as
dividend handling, variance swaps, local volatility, CPPIs - and hybrid risk
from rates and credit markets.
Wiley, 2006
Papers
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The Heston Model (Encyclopedia
of Quantiative Finance)
(with O.Chybiryakov)
A review of the Heston model and its applications.
Encyclopedia of Quantitative Finance, Cont.R (Ed.), John
Wiley & Sons Ltd, pp. 889-897 (2010)
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Volatility Markets:
Consistent Modelling, Hedging and Practical Implementation
Published version of my dissertation, updated 2008
Contains extended material on consistent variance curves, a proof that "smooth"
diffusion markets are always complete, comments on pricing in local martingale
models, fitting models to the market (general, Bergomi, Dupire, Heston),
Heston-type models with semi-closed forms, algorithms to perform parameter
hedging with linear programming, computation of variance, gamma and entropy
swaps, expensive martingales, and the implementation of a particular
four-factor variance curve model.
Defended June 26th, 2006 (summa cum laude)
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Recent Developments in Mathematical Finance: A Practitioner's
Point of View
(with M.Overhaus, A.Bermudez, A.Ferraris, C.Jordinson, A.Lamnouar, A.Puthu)
An introductory text on mathematical finance which explains basic concepts and
shows applications in practise, in particular pricing of options on variance.
Covers the nature of hedging and a simple derivation of the idea of "delta
hedging".
DMV Jahresbericht, 2006 (first version May 2005)
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Consistent Variance Curve Models
Generalized term-structure market model approach to variance swaps for hedging
of products on realized variance. Completeness of such models is discussed. We
also apply the results to the application re-calibration of stochastic
volatility models
Finance and Stochastics, Volume 10, Number 2 / April, 2006 (first version June
2004)
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Expensive Martingales
Calibration of discrete transition kernels between the marginal distributions of
a stock price process using weak information such as Cliquet prices.
The resulting one-factor process reprices spot started options and is optimized
to fit forward started options. (Generalization of Derman-Kani trees.)
Quantitative Finance, Volume 6, Number 3 / June 2006 (first version March 2004)
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Information-equivalence: On filtrations created by
independent increments
Two Brownian motions generate the same filtration iff they are a.s.
deterministic integrals of each other (and related results).
Séminaire de Probabilités XXXVIII, p.195, Berlin, Springer 2004
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Zur Struktur Brownscher Filtrationen
(in German)
A Brownian motion remains extremal on its filtration after a change of measure,
but it may not generate that filtration anymore (thesis is based on a paper by
Prof. Schachermayer; relevant new results have been published in the paper
above.)
Diploma-Thesis, 2001 (1.0)
Working Papers
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Stochastic Proportional Dividends
(with A.S.Dhouibi and D.Sluys)
Motivated by recently increased interest in trading derivatives on dividends, we present a simple, yet efficient
equity stock price model with discrete stochastic proportional dividends.
The model has a closed form for European option pricing and can therefore be calibrated efficiently
to vanilla options on the equity. It can also be simulated efficiently with Monte-Carlo and has fast
analytics to aid the pricing of derivatives on dividends.
While its efficiency makes the model very appealing, it has the twin drawbacks that dividends in this model can become negative,
and that it does not price in any skew on either dividends or the stock price.
We present the model and also discuss various extensions to stochastic interest rates, local volatility and jumps.
SSRN Working paper, Draft Version
1.013 December 2010 (first version January 2010, based on work from 2006 with C.Jordinson), Submitted
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Volatility and Dividends - Volatility
Modelling with Cash Dividends and simple Credit Risk
This article discusses incorporating cash dividends and simple credit risk into
equity derivatives risk management. It is shown that the only consistent
way is via a simple affine transformation of the ``pure" local martingale of
the form S(t) = {F(t) - D(t)} X(t) + D(t) up to default.
Implementation and is discusseed for: plain Europeans, American options,
Barriers and finally variance swaps and related derivatives. Risk management
for volatilty hedging and variance swaps in general is discussed in detail. To
our best knowledge, this paper is the only one discussing the incorporation of
cash dividends into variance swap pricing.
The aim of the article is to present results discussed in Equity
Hybrid Derivatives in a more intuitive way (in the book all results
have been derived rigourously). It is a reference summary on volatility and
dividend modelling for equity derivatives. The updated version 1.2
contains two additional proofs compared to 1.00 from March 2009.
SSRN Working paper, Version
1.3 October 2010 (first version March 2007), Submitted
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Delta Hedging Works: On Market Completeness
for Diffusion Processes
This article provides new criteria for the completeness of market driven by
diffusion processes. In particular, we show that if the coefficients of the SDE
are C1 almost surely, the the market of payoffs measurable with
respect to the market process is complete.
Our approach is in marked contrast wto the classic requirement that the
volatility matrix of the SDE is invertible in order to retrieve the background
driving motion which is much stronger and often violated in practice due to
differing trading times for underlyings in different time zones. It is also not
a very natural approach since a period of zero volatility "in one direction"
should not impede replicability in another risk factor.
SSRN Working paper, Version
1.1 October 3rd, 2009 (first version March 2006)
Presentations on seminars and conferences
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Modeling Stochastic Dividends II: Consistent Cash Dividends
Global Derivatives Trading & Risk Management Conference, Barcelona, April 2012
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Modeling Stochastic Dividends
Global Derivatives Trading & Risk Management Conference, Paris, April 2011
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Modeling Dividends (JP Morgan Introduction to Quantiative Research)
Forschungsseminar Stochastische Analysis und Stochastik der Finanzmärkte
Humboldt University & Technical University, Berlin, December 2010
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Risk Management with Infinite Dimensional SDEs
Workshop on Computational Finance, Kyoto, August 2009
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Equity Derivatives Teach In: Introduction /
Products 1 / Products 2
/ Lifecycle / Risk 1 /
Risk 2 / Numerical
Methods
Full day client teaching course, Internal JP Morgan Event, Singapore, August
2009
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Delta-Hedging Works - Market Completeness
for Factor Models on the example of Variance Curve Models
Conference on small time asymptotics, perturbation theory and heat kernel
methods in mathematical finance, Vienna, February 2009
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Hedging Options on Variance: Measuring Hedging
Performance
Global Derivatives & Risk Management, Paris, May 2007
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Consistent Variance Curve Models
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Options On Variance: Pricing And Hedging
IQPC Volatility Trading Conference, London, November 2006
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Consistent Variance Curve Models
Fourth Bachelier Congress Tokyo, August 2006
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Consistent Variance Curve Models, Theory and
Application
Imperial College, London, March 2006
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Modeling variance swap curves: theory and
applications
Petit Déjeuner de la Finance, Frontiers in Finance, Paris, February 2006
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Consistent Variance Curve Models, Theory and
Application
ISMA Centre, University of Reading, February 2006
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Variance Swap Market Models
Seminar Stochastische Analysis and Stochastic der Finanzmaerkte,
Technische Universtitaet and Humboldt Universitaet Berlin, November 2005
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Consistent Variance Curve Models
Seminar fuer Finanzmathematik, Technische Universtaet Wien, October 2005
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Consistent Variance Curve Models
Workshop Stochastic Analysis and Applications in Finance,
Max Planck Institute Leipzig, April 2005
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Valuing and Hedging Equity Derivatives
Quant Congress Europe, London, October 2005
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Corridor Variance Swaps
Deutsche Bank Seminar Stochastic Analysis and Finance, May 2005
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Hedging Exotic Equity Derivatives
Deutsche Bank Seminar Stochastic Analysis and Finance, Feburary 2005
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Dividends in Option Pricing
Deutsche Bank Seminar Applied Numerics, August 2004
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Stochastic Volatility Models and Products
Modelling techniques for pricing and hedging derivatives HK, Risk, June 2004
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Levy Models in Option Pricing.
Modelling techniques for pricing and hedging derivatives London, Risk, June
2004
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From Implied Volatility to Pricing Exotics
Tandem Workshop Stochastic-Numeric DFG, June 2004
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The Heston Model
Introductory Talk TU Berlin, July 2003 (in German)
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Volatilitaetsmodelle in der Praxis.
Seminar HU Berlin, May 2003 (in German)
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Applying stochastic volatility models for pricing and
hedging derivatives.
Volatility Forecasting and Modelling Techniques Risk Training, NY November /
London December 2002
Introductions: Quantitative Research in der Praxis
Links
Contact
Private contact at buehler@math.tu-berlin.de
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