There are 20 repositories under fixed-income topic.
Financial data platform for analysts, quants and AI agents.
A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.
A fixed income library for pricing bonds and bond futures, and derivatives such as interest rate swaps (IRS), cross-currency swaps (XCS) and FX swaps. Contains tools for full curveset construction with market standard optimisers and automatic differentiation (AD) and risk sensitivity calculations including delta and cross-gamma.
Fixed Income Analytics, Portfolio Construction Analytics, Transaction Cost Analytics, Counter Party Analytics, Asset Backed Analytics
A statistical arbitrage strategy on treasury futures using mean-reversion property and meanwhile insensitive to the yield change
Fixed income tools for R
Fixed Income Analytics, Portfolio Construction Analytics, Transaction Cost Analytics, Counter Party Analytics, Asset Backed Analytics
DRIP Fixed Income is a collection of Java libraries for Instrument/Trading Conventions, Treasury Futures/Options, Funding/Forward/Overnight Curves, Multi-Curve Construction/Valuation, Collateral Valuation and XVA Metric Generation, Calibration and Hedge Attributions, Statistical Curve Construction, Bond RV Metrics, Stochastic Evolution and Option Pricing, Interest Rate Dynamics and Option Pricing, LMM Extensions/Calibrations/Greeks, Algorithmic Differentiation, and Asset Backed Models and Analytics.
Quantitative analysis of Fixed Income Securities, including bond pricing models, yield curve fitting, PCA analysis, bond returns predictability and fixed income derivatives.
US Treasuries Yield Curve Data
Python class and jupyter iPython notebook for pricing a fixed coupon bond
AAD enabled and scripting included derivatives modeling.
Standardised Bloomberg Fixed Income Processing
Basic package for fitting yield-curves and other things.
Contains Python code and files used to estimate shadow rate using Krippner's K-ANSM(2) with an estimated lower bound term structure model
Python methods to create a Ho-Lee binomial interest rate model for fixed income security pricing: caps, swaps, bonds, etc.
Interest-rate modeling and Fixed Income Pricing in Python
A python library for modeling and analyzing fixed income securities
Fixed income valuation with term structure models and Monte Carlo simulations: Pricing straight, floating and callable bonds, swaps, swaptions, forward rate agreements, and more exotic securities such as inverse or range floaters
Open Source Trading Platform
Our project extends the classical models such as Vasicek and CIR to incorporate the effects of jump-risks in the market. We explore modern methods to price and calibrate such models and evaluate their pricing performance with respect to classical models and the observed market prices.
Replicates the script for generating the Wu Xia shadow rate term structure model in python
Python script for calculating the spread risk solvency capital charge ("SCR") for a bond portfolio under Solvency II (along the standard formula)
Models for Fixed Income instruments pricing
Python Fixed Income Securities & Derivatives analytics package
Random array of scripts to price securities, analyse market data, etc..
Unofficial Python Wrapper for BymaData API service.
Financial risks of bonds