DUCKQUANT / THE QUANT & AI DIRECTORY
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Public repository by gurish165. Primary language: Jupyter Notebook.
This repository contains our writeup and code for the IMC Prosperity 4 trading competition, where we ranked in the top 1% (154th out of…
A bot for an algorithmic trading competition that trades options using statistical arbitrage and delta and vega hedging
Rensselaer Polytechnic Institute's submission for the 2023 Rotman International Trading Competition
a copy of our trading bot in the IMC prosperity trading competition
Code written for the IMC Prosperity trading competition in 2023.
This is a crypto trading strategy enrolled in Areix's Crypto Trading Competition in 2021
Cornell Quant Fund 2022 Trading competition Options Case winner
🏆🏅 Repository for the GEB team's winning solutions in the IEEE Hybrid Energy Forecasting and Trading Competition (HEFTCom).
Real-time Multiplayer Stock Trading Game Platform · The Ultimate Trading Competition Platform for Schools, Colleges & Gaming Events
MIT Trading Competition algorithmic trading of options and securities
Repository for the Hybrid Renewable Energy Forecasting and Trading Competition containing utilities and a "Getting Started" guide.
A bot coded for an algorithmic trading competition using market making, statistical arbitrage, and delta and vega hedging
Public repository by kasehub. Primary language: HTML.
Public repository by Ashokkb11. Primary language: Python.
Public repository by Dxfory. Primary language: Python.
Developed a credit scoring model and risk assessment framework using the Internal Ratings-Based (IRB) approach, enabling banks to predict customer credit risk and potential…
Credit Risk Modeling is a fintech-focused project that enhances traditional credit scoring by introducing key financial metrics like Debt-to-Income Ratio, Total Financial Accounts, and…
Validation of credit risk models
Tool demonstrating building credit risk models
Public credit-risk models report 0.90+ AUC using post-loan leakage. This one strips it and reports an honest 0.73, then runs a ReAct agent to…
This repository aims at building a packaged solution for credit risk assessment. The main idea is, in accordance to Basel II, develop models for…
Audit-ready explainability artifacts (reason codes, model cards, drift checks) for scikit-learn investment & credit-risk models.
Credit Risk Modeling by creating Probability of Default (PD), Loss Given Default (LGD) & Exposure At Default (EAD) models for Credit Risk Management.
Credit Risk Modelling via Logistic Regression (R)
MSc Dissertation on Credit Risk Modeling
The alternative credit risk model focuses on the target group of customers with little or no credit history to evaluate customer credit risk assessment…
Credit risk modeling is a process used by financial institutions and lenders to quantify and assess the potential credit risk associated with lending money…
Contains the R code for the credit risk model done using Logistic Regression and Decision Trees
Leveraging data-driven approaches to mitigate Credit Risk and optimize financial strategies in the banking sector.
Predicting credit default risk on highly imbalanced data using machine learning. Implemented state-of-the-art models and evaluated results on real-world data.
Credit Risk Modeling for Retail Loans
Credit Risk Models for Scorecards, PD, LGD, EAD
