MA41031: Stochastic Processes In Finance

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MA41031
Course name Stochastic Processes In Finance
Offered by Mathematics
Credits 4
L-T-P 3-1-0
Previous Year Grade Distribution
8
19
14
13
8
3
2
EX A B C D P F
Semester Autumn


Syllabus

Syllabus mentioned in ERP

Definition and classification of stochastic processes, Poisson process, Birth and death process, Markov process in discrete time, random walks, gambler s (ruin), first return probabilities. Diffusion Processes - Brownian motion (introduction), Wiener process, Simulation of Brownian motion, Brownian Bridge, scaling symmetry, Brownian motion with drift, waiting times, geometric Brownian motion, applications in financial modeling. Introduction to Martingales. Stochastic Calculus - stochastic differential equations, stochastic integral (Ito s formula), applications in financial modeling.


Concepts taught in class

Student Opinion

How to Crack the Paper

Classroom resources

Additional Resources

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Time Table

Day 8:00-8:55 am 9:00-9:55 am 10:00-10:55 am 11:00-11:55 am 12:00-12:55 pm 2:00-2:55 pm 3:00-3:55 pm 4:00-4:55 pm 5:00-5:55 pm
Monday
Tuesday
Wednesday NC334
Thursday NC334
Friday NC334 NC334