Stochastic Valuation Processes

버전 1.0.5.1 (2.34 MB) 작성자: Lautaro Parada
Stochastic Valuation models for stocks and bond rates.
다운로드 수: 275
업데이트 날짜: 2020/5/25

This is a collection of Stochastic Valuation methods for Monte-Carlo simulations of stock prices and bond interest rates. These simulations help to backtest on synthetic data trading strategies, asset allocation methods, option pricing, volatility estimators,etc.

Currently, the implemented methods are:

- Stock prices: Brownian Motion, Geometric Brownian motion, Merton model, Heston model.
- Bond Rates: Vasicek interest rate model, Cox Ingersoll Ross model
- Utilities: Quote inflow order (volume generation, according to the price series), Information driven bars (see Advances in Financial Machine Learning for details).

In the Getting started guide, you will find complete documentation of the toolbox.

인용 양식

Lautaro Parada (2025). Stochastic Valuation Processes (https://github.com/LautaroParada/stochastic-processes/releases/tag/1.0.5.1), GitHub. 검색 날짜: .

MATLAB 릴리스 호환 정보
개발 환경: R2020a
모든 릴리스와 호환
플랫폼 호환성
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

@randomProcesses

버전 게시됨 릴리스 정보
1.0.5.1

See release notes for this release on GitHub: https://github.com/LautaroParada/stochastic-processes/releases/tag/1.0.5.1

1.0.5

See release notes for this release on GitHub: https://github.com/LautaroParada/stochastic-processes/releases/tag/1.0.5

1.0.4

See release notes for this release on GitHub: https://github.com/LautaroParada/stochastic-processes/releases/tag/1.0.4

이 GitHub 애드온의 문제를 보거나 보고하려면 GitHub 리포지토리로 가십시오.
이 GitHub 애드온의 문제를 보거나 보고하려면 GitHub 리포지토리로 가십시오.