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Stochastic Differential Equations (SDEs)

2025-05-06 03:42:09

Previously, we introduced Brownian Motion and the Wiener Process as the foundation for modeling asset price paths.However, standard Brownian Motion ha

Brownian Motion and Wiener Process

2025-05-05 09:39:07

In this article, we will define Brownian Motion and explain some of its properties, which are very important in creating models for future asset price

List of books for quantitative analysts: Python Programming

2025-05-05 06:50:21

Currently, Python has become the main language in the field of quantitative finance. It is widely used in both investment banks and quantitative hedge

List of books for quantitative analysts: Numerical Methods

2025-05-05 03:33:21

In the previous article, we introduced several C++ books to help learn the syntax necessary for creating derivatives pricing models. These models ofte

Quant Reading List: C++ Programming

2025-04-30 09:21:14

Learning how to apply models requires a deep understanding of theory, which will enable the use of mathematical strategies necessary for code optimiza

Quants reading list: Derivative Pricing

2025-04-30 07:37:30

This post is part of a series of book recommendations for novice quantitative analysts. Other articles in this series will focus on C++ programming, m

The Markov and Martingale Properties

2025-04-30 04:52:47

The two main concepts in quantitative finance are the Markov property and the Martingale property. The Markov property states that a stochastic proces

Introduction to Stochastic Calculus

2025-04-30 03:13:43

Stochastic calculus is widely used in the field of quantitative finance to create models of random asset prices. This article will provide a brief ove