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ISCTE-IUL  >  Education  >  DF

Continuous-Time Finance (1 º Sem 2017/2018)

Code: 01073
Acronym: 01073
Level: 3rd Cycle
Basic: No
Teaching Language(s): English
Friendly languages:
Be English-friendly or any other language-friendly means that UC is taught in a language but can either of the following conditions:
1. There are support materials in English / other language;
2. There are exercises, tests and exams in English / other language;
3. There is a possibility to present written or oral work in English / other language.
1 6.0 0.0 h/sem 24.0 h/sem 0.0 h/sem 0.0 h/sem 0.0 h/sem 0.0 h/sem 1.0 h/sem 25.0 h/sem 125.0 h/sem 0.0 h/sem 150.0 h/sem
Since year 2017/2018
Pre-requisites Differential calculus; Statistics; Financial derivatives
Objectives 1- Being able to use the main tools of stochastic calculus.
2- Knowing how to build an arbitrage strategy with options.
3- Being able to use the Black & Scholes model in the valuation of options (including their related alternative formulations).
4- Knowing how to build a dynamic hedging strategy.
5- Being able to implement stochastic volatility models
6- Being able to price numerically and analytically American-style options
Program 1. Introduction to (financial) Options

2.  Properties of the option price

3. Hedging and Speculation with Options

4. Valuation of financial derivatives in discrete time

5.  Stochastic calculus
Brownian Motion; Itô?s lemma and fundamental PDE; Feynman-Kac theorem.

6. Black-Scholes Model

7.  Risk-Neutral Valuation
Girsanov?s theorem; Change of numeraire.

8. Historical versus implied volatility

9. Merton?s model

10. Black?s model (options on futures)
Stock versus futures style margining.

11. Greeks and Dynamic Hedging of option contracts

12. Beyond the Black-Scholes model
Stochastic volatility


13. American-style options
Binomial model: Cox, Ross, and Rubinstein (1979);
Finite difference schemes: Brennan and Schwartz (1977);
Quadratic approximation: Barone-Adesi and Whaley (1987);
Integral representation method: Carr, Jarrow, and Myneni (1992), Ju (1998), Kim and Yu (1996)
Optimal stopping approach: Nunes (2009)
Evaluation Method The final grade will be based on two components:

a) Class participation and home works (50%);
b) Final exam (open book exam) concerning the all syllabus (50%).
Teaching Method Classes have mainly a practical content.

The classes with be focused on the application of stochastic calculus to Finance and, in special, to the valuation of American-style options.

Some Matlab programs and specific financial options software will also be used in the solutions of some problems.
Observations
Basic Bibliographic Baxter, M., and A. Rennie, 1996, Financial Calculus: An Introduction to Derivative Pricing, Cambridge University Press.

Björk, T., 1988, Arbitrage Theory in Continuous Time, Oxford University Press.

Hull, J., 2008, Options, Futures and other Derivatives, Prentice Hall, 7th edition.

Shreve, S., 2004, Stochastic Calculus for Finance II: Continuous-Time Models, Springer.
Complementar Bibliographic Cox, J., S. Ross, and M. Rubinstein. ?Option Pricing: A Simplified Approach.? Journal of
Financial Economics, 7 (1979), 229-263.

Brennan, M., and E. Schwartz. ?The Valuation of American Put Options.? Journal of Finance,
32 (1977), 449-462.

Barone-Adesi, G., and R. Whaley. ?Efficient Analytic Approximation of American Option
Values.? Journal of Finance, 42 (1987), 301-320.

Carr, P., R. Jarrow, and R. Myneni. ?Alternative Characterizations of American Put Options.?
Mathematical Finance, 2 (1992), 87-106.

Ju, N. ?Pricing an American Option by Approximating Its Early Exercise Boundary as a
Multipiece Exponential Function.? Review of Financial Studies, 11 (1998), 627-646.

Kim, J., and G. G. Yu. ?An Alternative Approach to the Valuation of American Options
and Applications.? Review of Derivatives Research, 1 (1996), 61-85.

Longstaff, F and E. Schwartz, 2001, Valuing American Options by Simulation: A Simple Least-Squares Approach, Review of Financial Studies 14, 113-147.

Nunes J (2009), ?Pricing American options under the constant elasticity of variance model
and subject to bankruptcy?. Journal of Financial and Quantitative Analysis 44:1231-1263