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Lecturer: Dr. Mika Kastenholz
Time: Wednesday 10.15 - 12.00
Place: ML F39 (exception: 28.09.2011 RZ F21)
TA: andreas
Links:
Abstract
The aim of the
lecture is to fill in the gaps between textbook quantitative finance
and
industry practice. In particular, the emphasis will be on how
theory and quantitative
models are used in derivatives trading
every day. The course covers single and
multifactor vanilla and
exotic options along with typical models and their limitations,
which
are described in several case studies.
In order to relate the
course content to the current market regime and make students
aware
of current economic and political events, we will also discuss the
week on week performance of several market indicators used by
traders.
Lecturer
Dr. Mika Kastenholz is an equity
exotics derivatives trader at Credit Suisse with over
five years
experience both in London and Zurich. He is currently heading the
single stock exotics and corporate derivatives desk at Credit Suisse
in Zurich.
Detailed Course outline
The first nine
lectures are split into blocks of three units to give a sound
introduction
and understanding of derivatives trading including
correlation products. The remaining five lectures cover additional
topics important for trading.
1.
Introduction to trading / Vanilla Option Trading I
2. Vanilla
Option Trading II
3. Vanilla Option Trading III
The first three
lectures on Vanilla option introduce briefly the theoretical
framework
of risk neutral pricing and the Black-Scholes-Merton
(BSM) model. Additional topics are: BSM first and second order Greeks, dividend modeling, simple and advanced vanilla trading
strategies, corporate actions, organization of a trading desk,
hedging out tail risk
4. Exotics Option Trading
I
5. Exotic Option Trading II
6. Exotic Option Trading III
The
next three lectures on Exotic options extend the previous vanilla
framework to
these products. Additional topics are: volatility
models beyond BS (in particular local and stochastic volatility),
volatility model deficiencies and how to hedge against them,
volatility surface dynamics (e.g. sticky strike, sticky delta skew
dynamics), vega for exotics compared to vanillas
7.
Correlation & correlation products I
8. Correlation &
correlation products II
9. Correlation & correlation products
III
The next three lectures extend the material to multifactor
options, i.e. correlation and
correlation products. After a
thorough introduction and definition of correlation/co-variance,
students will learn how these derivatives are priced and
traded.
Additional topics are: introduction to correlation
(definition, historical / realized / implied correlation, cointegration, covariance, stationarity), from single factor to
multi-factor derivatives, trading correlation instruments (CvC,
correlation swap, covariance swap, variance dispersion), crossgamma
(concept, equations, misunderstandings), dispersion trading,
correlation sensitive products
(WoF, BoF, outperformance options)
hidden risks, e.g. correlation skew modeling,
equity/FX &
equity/IR correlation, Marking correlation (lambda approach),
managing a correlation book, correlation term structure, Retail vs
hedge fund flow, proxy hedging
10.
Interest rates (IR): Yield curve construction, discounting
for
collateralized/uncollateralized trades, FRA / IRS / OIS /
Libor relationship, basis
swap, basis swap risk, hedging dv01
exposure
11. Credit derivatives
-CDS:
history, application, mechanics, conventions
-CDS risk: CTD risk,
event risk, liquidity risk, cp risk
-CDS vs Bond: basis
-CDS
indices: application, roll mechanics, trading a CDS
index
-CDO
12. VAR and scenario
risk
-introduction to VAR
-managing positions with VAR and
scenario risk
13. Structured
Products
-Capital protected products
-Leveraged
products
-Participation products
-Return enhancement
products
-Listed exchange: SCOACH
14.
Derivatives Accounting & Corporate Derivatives
-how are
derivatives represented from an accounting point of view?
-topics:
Funding penalties, Firm capital costs, Balance sheet usage,
Collateral mgmt
(DVA / CVA), counterparty risk, BASEL III + Swiss
finish
-Case study: The events of 2008/9 and 2011
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