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Pricing Barrier Options Using Monte Carlo Simulation
Ahmad Ahmad Augustine Y. D. Farley Course: Analytical Finance 1 Mälardalen University Lecturer: Jan Roman October 19, 2016
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Pricing Barrier Options Using Monte Carlo Simulation
Importing Libraries Defining the black-Scholes formula 11/13/2018 Seminar (AF1) Pricing Barrier Options Using Monte Carlo Simulation
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Pricing Barrier Options Using Monte Carlo Simulation
Our Measures ‘S0’ represents Current stock price ‘x’ represents Strike price barrier represents Barrier ‘T’ represents Time ‘n_steps’ represents Number of steps ‘r’ represents Interest rate ‘sigma’ represents Volatility 11/13/2018 Seminar (AF1) Pricing Barrier Options Using Monte Carlo Simulation
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Pricing Barrier Options Using Monte Carlo Simulation
Calculations 11/13/2018 Seminar (AF1) Pricing Barrier Options Using Monte Carlo Simulation
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Pricing Barrier Options Using Monte Carlo Simulation
Output 11/13/2018 Seminar (AF1) Pricing Barrier Options Using Monte Carlo Simulation
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Pricing Barrier Options Using Monte Carlo Simulation
Simulations 11/13/2018 Seminar (AF1) Pricing Barrier Options Using Monte Carlo Simulation
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Pricing Barrier Options Using Monte Carlo Simulation
Results Up and Out_Call = 0.237 Up and In_Call = 0.0 11/13/2018 Seminar (AF1) Pricing Barrier Options Using Monte Carlo Simulation
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Pricing Barrier Options Using Monte Carlo Simulation
Variables 11/13/2018 Seminar (AF1) Pricing Barrier Options Using Monte Carlo Simulation
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