Predicting stock prices using Geometric Brownian Motion and the Monte Carlo method
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Updated
Mar 4, 2021 - Python
Predicting stock prices using Geometric Brownian Motion and the Monte Carlo method
The Breeden-Litzenberger formula, proposed by Douglas T. Breeden and Robert H. Litzenberger in 1978, is a method used to extract the implied risk-neutral probability density function from observed option prices
Sieve estimation of state price density implied by option prices
The main focus of this repository is to analysis the fair price and the risk of the Auto-callable Reverse Convertible issued by Credit Suisse AG on 24/10/2017
Auxiliary material course Quantitative Finance (Tilburg University)
Pricing European options using explicit Black-Scholes solution and Monte-Carlo method. Producing heat maps which display the variability in option price for varying volatility and spot price.
Computes implied measures for inflation expectations derived from inflation option data
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