levy-processes
There are 15 repositories under levy-processes topic.
cantaro86/Financial-Models-Numerical-Methods
Collection of notebooks about quantitative finance, with interactive python code.
jkirkby3/PROJ_Option_Pricing_Matlab
Quant Option Pricing - Exotic/Vanilla: Barrier, Asian, European, American, Parisian, Lookback, Cliquet, Variance Swap, Swing, Forward Starting, Step, Fader
jkirkby3/fypy
Vanilla and exotic option pricing library to support quantitative R&D. Focus on pricing interesting/useful models and contracts (including and beyond Black-Scholes), as well as calibration of financial models to market data.
chicago-joe/Option-Pricing-via-Levy-Models-in-R
using the Inverse-Transform method to speed up options pricing simulations in R
phuselab/CLE
Constrained Levy Exploration (CLE) generates a scanpath computing eye movements as Levy flight on a saliency map.
59alireza59/Quantitative-Finance
A Quantitative Finance Engineering Project
Mrktn/heston-pricing
Demonstrates how to price derivatives in a Heston framework, using successive approximations of the invariant distribution of a Markov ergodic diffusion with decreasing time discretization steps. The framework is that of G. Pagès & F. Panloup.
skiamu/ComputationalFinance
functions and scripts for the course Computational Finance a.c. 2016/2017
NoeDebrois/Computational_Mathematics
A repo which deals with Computational Methods in Mathematics, mainly applied in the context of Mathematical Finance, even though it can be applied to almost any domain where you need Probability, Partial Differential Equations, Stochastic Differential Equations, Characteristic Functions, Lévy Processes, Stochastic Volatility, FFT, etc.
Valbou/date-premier-prelevement
Calcul d'une date de premier prélèvement selon une bande de prélèvement exprimée en jours légaux (ouvrés, ouvrables, calendaire, etc...)
vbandelier/Master_Project
Pricing TARN Using Numerical Methods
merliseclyde/bark
bark R package for Bayesian nonparametric kernel regression
ZakariaBensaid/DeepFBSDEJSolvers
Deep Global, Local and MultiStep solvers approximating the solutions of FBSDEs with jumps which are related to a class of (PIDEs) Partial Integro-Differential Equations.
mohin-io/Fractional-PDEs-under-Levy-Models-Machine-Learning-for-Calibrating-Advanced
This project builds a fast, intelligent calibration engine for advanced asset pricing models. Standard Black-Scholes breaks down under real markets with fat tails and jumps, but Lévy models (Variance Gamma, CGMY) are too slow and unstable to calibrate with classical methods.
THargreaves/LevyProcesses.jl
Computational methods for simulating Lévy processes written in Julia