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Professional Course

Implementing Quantitative Techniques

London Financial Studies, In New York City (+1 locations)
Length
3 days
Price
4,890 USD, 4,050 GBP
Next course start
27 January, 2025 (+2 start dates)
Delivery
Classroom, Virtual Classroom
Length
3 days
Price
4,890 USD, 4,050 GBP
Next course start
27 January, 2025 (+2 start dates)
Delivery
Classroom, Virtual Classroom
This provider usually responds within 48 hours 👍

Course description

In a complicated financial world a detailed understanding of the application of quantitative techniques is essential. This course provides an in-depth coverage of practical quantitative methods important in today's financial markets.

Course Objectives

To provide practitioners with a practical understanding of how a range of tools can be used to manage, analyse and price financial instruments. Participants will study:

  • Principal components
  • Duration and the impact of convexity
  • Methods of interpolation, their uses and limitations
  • Regression techniques
  • Implementing Monte Carlo simulations
  • Binomial and trinomial tree building
  • How to model assets and price derivatives in continuous time

Who The Course is For

Anyone who needs to understand a comprehensive set of tools for managing risk in the financial markets. The seminar will be of special interest to:

  • Risk managers
  • System developers
  • Traders and derivatives teams
  • Consultants and brokers

Prior Knowledge

Basic understanding of financial markets and probability (also covered inMaths Refresher).

Upcoming start dates

Choose between 2 start dates

27 January, 2025

  • Classroom
  • New York City

27 January, 2025

  • Virtual Classroom
  • Online

Who should attend?

London Financial Studies is registered with CFA and GARP Institute as an Approved Provider of continuing education programs.

Training content

Day One

Bootstrapping Yield Curves

  • The form of the discount function
  • Methods of interpolation
  • OIS, Term Rates and N-way curve building
  • Maximum smoothness
  • Cubic splines in detail
  • Interpolation and the forward curve

Workshop: Interpolation, forward curves and pricing

Curve Building Techniques for Use with Limited Data

  • Applying multiple regression to bond data
  • Finding a functional form for the yield curve
  • Basis splines and other approximating functions
  • Econometric issues
  • Extension to credit and inflation curve building

Workshop:Building a bond market yield curve

Day Two

Principal Components and Yield Curve Hedging

  • Review of single and two-factor duration
  • Principal components
  • Using principal components with B-splines to derive hedging factors
  • Bond arbitrage and portfolio immunisation

Workshop: Portfolio Immunisation

Modelling Movements in Asset Prices: Monte Carlo Simulation

  • Asset prices represented by Brownian motion
  • Monte Carlo simulation
  • Random number generation
  • Control variate and antithetic variable techniques
  • Low discrepancy sequences
  • Multiple dimensions and stochastic volatility
  • Simulating SABR processes

Workshop: Building and Running a Monte Carlo Simulation

Day Three

Modelling Movements in Asset Prices: Trees

  • Alternative futures
  • Probabilities and pseudo probabilities
  • The binomial tree
  • Trinomial trees
  • Trees and Monte Carlo
  • Risk neutral valuation
  • Valuing standard options

Workshop: Building a binomial tree for pricing and hedging

Using Trees for Pricing Derivatives

  • Early exercise and Bermudan structures
  • Deriving the “Greeks”
  • Modifications for Smile and Skew

Modelling Asset Prices in Continuous Time

  • Some basic stochastic calculus and Ito's Lemma
  • Normal and lognormal distributions
  • Applying the Black-Scholes analysis
  • Finite difference techniques for continuous time problems

Workshop: Comparing binomial trees and Monte Carlo techniques

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