My answers to exercises in Stochastic Calculus for Finance by Steven E. Shreve.
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Updated
May 20, 2023
My answers to exercises in Stochastic Calculus for Finance by Steven E. Shreve.
Record the learning materials of the course - "STOCHASTIC ANALYSIS OF COMPUTER NETWORKS" in National Cheng Kung University.
An R package for symbolic and numerical computations on scalar and multivariate systems of stochastic differential equations (SDEs). It provides users with a wide range of tools to simulate, estimate, analyze, and visualize the dynamics of these systems in both forms Itô and Stratonovich <doi:10.18637/jss.v096.i02>.
🌔 Malliavin calculus via functional programming
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
This Jupyter notebook presents a comprehensive mathematical framework for predicting Bitcoin price movements using stochastic calculus, Fourier analysis, and technical indicators, combining Monte Carlo simulation with RSI and CCI metrics for enhanced accuracy.
Malliavin calculous application in a financial context
A stokhazesthai (stochastic) process, also called a random process, is one in which outcomes are uncertain (MAT 455, ISU).
My documented work as I work through a textbook on Stochastic Calculus!
The "Numerical Projects in Stochastic Calculus for Finance" repository contains a collection of numerical projects from the book "A First Course in Stochastic Calculus" by L.P. Arguin implemented in Python and focused on stochastic calculus and its applications in finance. The book is also available in pdf format in the repository.
Option pricing and hedging models with analytical formulas, implied volatility smile calibration (SABR & Displaced-Diffusion), exotic payoff replication, and dynamic hedging.
Bitcoin futures trading strategies
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