450 likes | 962 Views
Intention. . Implement theories/models from TI4140Presenting small examples of various types of financial modelsBS Model with Greeks and Implied volatilityThe Binominal ModelMonte Carlo SimulationSupport for students taking future project in financial modellingJob preparation Financial Engin
E N D
1. Financial Modelingwith VBA
Presentation 16/2 2004
Sjur Westgaard, NTNU
2. Intention
3. Main Focus in our course: Option Models and Pricing Algorithms
4. Broad Examples of Applications(see additional material on reading list)
5. Todays and tomorrows schedule Monday 15/2 - 2004
Intro VBA/Excel
Black & Scholes Model
Historical versus Implied Volatility
Greeks in the Black & Scholes Model
Tuesday 16/2 2004
The Binominal Model
Monte Carlo Simulation and Option Pricing
6. The Black-Scholes Formulas
7. The parameters in Black & Scholes Stock price S (Read directly from the market)
Exercise price K (Specified in the contract)
Time horizone T (Specified in the contract)
Risk free rate of return r (Read directly from the market NB! Use zero coupon yield government bills or bonds on a T horizon)
Volatility of the stock ? (Must be estimated from time series data)
10. Before we implement the formula; Estimation of Volatility from Historical Data 1. Take observations S0, S1, . . . , Sn at intervals of t years
2. Define the continuously compounded return as:
3. Calculate the standard deviation, s , of the ui ´s
4. The historical volatility estimate is scaled in the following way:
12. Example Pricing OBX MAR 690 Call at 13/2 2004
13. VBA in Excel B&S formula
14. The VBA Editor
15. Functions in VBA for Excel
16. Variable declaration in VBA
17. The Dim (Dimension) statement
18. Using If statement in VBA functions
19. Using function libraries in VBA
20. The hole VBA program
22. The Black-Scholes Formulas How does the option price change with respect to a change in;
Underlying Index
Volatility of the index
Time to maturity
Interest rate
?
23. Option sensitivities – The Greeks