Basic Discounted Cash Flow library written in Python. Automatically fetches relevant financial documents for chosen company and calculates DCF based on specified parameters.

Economic scenario generator for python: simulate stocks, interest rates, and other stochastic processes.

The full scope of IFRS 9 Impairment models including PD, LGD and EAD are provided. It also covers ECL, which is the combination of those three parameters as well as staging criteria.

Black-Scholes Pricing Model: An intuitive and sophisticated tool for accurately calculating European option prices. Leverage the mathematical elegance of the Black-Scholes formula to explore how varying market conditions impact option pricing with real-time interactive visualizations.

This is the repo of developing reasoning models in the specific domain of financial, aim to enhance models capabilities in handling financial reasoning tasks.

An open-source Python framework for actuarial cash flow models

A Python SDK for FinancialData.Net API - Real-time & Historical Stock Market Data

Predicting stock prices using Geometric Brownian Motion and the Monte Carlo method

Discover how to leverage MATLAB for quantitative finance modeling

🏦 A financial modeling lib for Elixir, contains functions for calculating useful stuff like EBITDA, book-value-eps, etc...

Basic DCF model to quickly value public companies.

Financial Models using vba script and Python

Export 15 years P&L and BS data from moneycontrol. Correlation analysis of various heads. Mean & Std. Graphs of YoY changes and projecting 10yr financials in python and exporting the data to Excel. Makes it easy for preparing Financial Models for Indian companies.

This Repository Contains Solution to the Assignments of Excel Skills For Business - Macquarie-University on Coursera Taught by Nicky Bull, Dr Prashan S. M. Karunaratne, Professor Yvonne Breyer

Financial modelling in real estate asset & development planning, decision-making, cashflow forecasting, and scenario analysis.

Implementation with a Jupyter Notebook of the VIX index modelization provided in its CBOE white paper.

Contains Python code and files used to estimate shadow rate using Krippner's K-ANSM(2) with an estimated lower bound term structure model

A financial analyst evaluates current and historical economic and business data to identify trends that influence business decisions. Gain the skills that make a successful financial analyst, including understanding financial statements, working with economic data, and analytical analysis skills.

A learning tool to demonstrate the process of financial forecasting, budgeting, and analysis.

A research-grade lab for stress-testing DeFi protocols using Solidity mini-systems, a Python simulation engine, and a Streamlit dashboard. Simulates price crashes, liquidity shifts, AMM behavior, lending liquidations, and systemic risk dynamics. Designed for DeFi engineers, auditors, and researchers.