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Monte Carlo Methods in Finance by Dr. Jörg Kienitz
In the seminar we discuss the application of the Monte Carlo method. We furthermore show how to implement it in an object oriented fashion using VBA. Choosing this language is motivated by the fact that Excel is the most widespread application. In addition we give hints how to set up the method in C++.
It is essential to cover the implementation to fully grasp the implications of derivatives pricing using Monte Carlo simulation. Starting from a simple Black / Scholes / Merton dynamic and simple option payoffs, we show how to extend the application to cover complex models and payoffs. For example we show the implementation of the Heston model together with the QE scheme and apply it to the pricing of path-dependent options but also jump diffusion processes, Lévy processes or bridge simulation.
The source code will be made available such that further practice at your own location is possible. The code could also serve as a starting point for a proprietary application.
Jörg Kienitz is Head of Quantitative Analysis. This team is part of the Treasury department of Deutsche Postbank AG, Germany. He is responsible for model development, derivatives pricing, structured products pricing and asset allocation models. Jörg is an experienced presenter. He trained finance professionals on mathematical subjects like Monte Carlo methods for several years. He also has extensive academic experience lecturing at university level including the universities of Bonn (math) and Duisburg (finance).
Jörg authored several papers on mathematical and computational finance. He also is the co-author of the book Monte Carlo Object Oriented Frameworks in C++ (together with Daniel J. Duffy) which will be published by Wiley in the first quarter of 2009.
Topics covered: | Day 1: Monte Carlo Methods in Finance | Day 2: Monte Carlo Methods in Finance | Details: | download pdf
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Day 1: Monte Carlo Methods in Finance | |
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Applications of Monte Carlo Methods in Finance and Mathematical Background
- Derivatives Pricing
- Value-at-Risk and Expected Shortfall Calculation
- Scenario based Optimization and Asset Allocation
- Basic Probability Theory (Laws of Large Numbers, Central Limit Theorem)
- Stochastic Processes with Examples
- Stochastic Differential Equation and basic Stochastic Calculus
- Applications and Examples
Random Number Generation
- Pseudo Random Numbers
Congruential Generators
Mersenne Twister
- Quasirandom Numbers
Halton Sequences
Sobol Sequences
- Generating Variates Due to Distributions
Normal Distribution, Gamma Distribution, Chi Squared Distribution, Inverse Gaussian Distribution
- Applications and Examples
Path Generation One-Dimensional Cases
- (Geometric) Brownian Motion
- Jump Extensions
- NIG Processes and Variance Gamma Processes
- Poisson Processes
- Applications (Stochastic Processes appearing in Equity, Credit, Interest Rates)
Path Generation Multi-Dimensional Cases
- Multi-Dimensional Brownian Motion (Cholesky-, Spectral Decomposition)
- Beyond Brownian Motions
- Copulas
- Applications (Dependency, Credit, Interest Rates, Hybrids)
Day schedule: 09:00 17:00
Break: 10:30 10:45
Lunch: 12:30 13:30
Break: 15:15 15:30
Topics covered: | Day 1: Monte Carlo Methods in Finance | Day 2: Monte Carlo Methods in Finance | Details: | download pdf
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Day 2: Monte Carlo Methods in Finance | |
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Stochastic Volatility Models
- The Heston and the Bates stochastic volatility model
- Monte Carlo Simulation Techniques Comparison of numerical schemes
- The Quadratic Exponential (QE) Scheme
- Applications (Equity)
Variance Reduction Methods
- Controlling the Error
- Antithetic Variables
- Control Variates
- Importance Sampling
- Stratified Sampling
- Weighted Monte Carlo
- Applications and Examples
Advanced Monte Carlo I - Calculation of Sensitivities
- Finite Difference Methods
- Pathwise Methods
- Likelihood Ratio Methods
- Proxy Schemes
- Applications and Examples (Greeks for Discontinuous Payoffs)
Advanced Monte Carlo II Early Exercise Features
- The Longstaff Schwarz Method
- Regression Now or Regression Later
- Dual Methods
- Applications and Examples (Regression Methods)
Day schedule: 09:00 17:00
Break: 10:30 10:45
Lunch: 12:30 13:30
Break: 15:15 15:30
Topics covered: | Day 1: Monte Carlo Methods in Finance | Day 2: Monte Carlo Methods in Finance | Details: | download pdf
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Location:
Melia White House Hotel
Albany Street
Regents Park
London NW1 3UP
Hotel Website
Flight details:
All delegates flying into London on the morning of the event are reminded that they should arrive 30 minutes before the workshop starts for registration. The hotels West End location is approximately 1 hour from all 3 main London airports, Heathrow, Gatwick and City. Returning flights should equally allow for the events finishing time.
Complimentary inbound transfer service:
WBS Training now extend our premium service to all our clients. This includes a complimentary inbound transfer from London airports to central London hotels for all workshops. If you require this service simply inform us up to 2 working days prior to your arrival (flight number, arrival time, airport and hotel destination) and we will arrange a complimentary pick up. You will be given a phone number to call on arrival and will be greeted at the airport by our partner taxi company.
Sponsorship:
World Business strategies Ltd, offer sponsorship opportunities for all events, E-mail headers and the web site. Contact Sponsorship: +44 (0) 1273 674400
Disclaimer:
World business strategies command the rights to cancel or alter any part of this programme.
Cancellation:
By completing of this form the client hereby enters into a agreement stating that if a cancellation is made by fax or writing within two weeks of the event date no refund shall be given. However in certain circumstances a credit note maybe issued for future events.
Prior to the two week deadline, cancellations are subject to a fee of 25% of the overall course cost.
Topics covered: | Day 1: Monte Carlo Methods in Finance | Day 2: Monte Carlo Methods in Finance | Details: | download pdf