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mdilasci's Projects

deep-portfolio-optimisation icon deep-portfolio-optimisation

This repo contains work related to a semester project undertaken at ETHZ in the Spring term of 2020 as part of the course Machine Learning in Finance. It considers a Neural Network approach to the portfolio optimisation problem with multiple assets.

financialoptionsmodelling icon financialoptionsmodelling

Modelling and analysing the Asian call/put options compared to the standard European option as well as comparing two different modelling methods

gleam icon gleam

A library of code that implements discrete local volatility surfaces.

nm-heston icon nm-heston

ADI Finite Difference schemes for option pricing using the Heston model

option-pricing icon option-pricing

Finite Difference and Monte Carlo Approaches to Pricing Options (European, American, Down-and-Out Barrier and Arithmetically-Averaged Asian)

proj_option_pricing_matlab icon proj_option_pricing_matlab

Quant Option Pricing - Exotic/Vanilla: Barrier, Asian, European, American, Parisian, Lookback, Cliquet, Variance Swap, Swing, Forward Starting, Step, Fader

pyfeng icon pyfeng

Python Financial ENGineering (PyFENG package in PyPI.org)

pysabr icon pysabr

SABR model Python implementation

quantfinance icon quantfinance

Our project aims to analyze and obtain an options investment strategy, having the Oil Futures (WTI Crude Oil) as underlying. The analysis is based on a Monte Carlo simulation that takes the historical data of the underlying from Yahoo Finance; it calculates its historical volatility and indicates its latest price (May 9, 2020). On the basis of the

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