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interest-rates

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Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics

  • Updated Jan 20, 2023
  • Jupyter Notebook
rateslib

A fixed income library for pricing bonds and bond futures, and derivatives such as IRS, cross-currency and FX swaps. Contains tools for full Curveset construction with market standard optimisers and automatic differention (AD) and risk sensitivity calculations including delta and cross-gamma.

  • Updated Nov 25, 2024
  • Python

Jupyter notebooks for analysis of US federal debt levels, tax revenues, budget deficit, evolution of yields on treasury borrowings, treasury yield curves and inflation expectations, unemployment and participation rates, quantitative easing, industrial production, personal consumption and savings. All analysis is based on data provided by FRED.

  • Updated Nov 23, 2024
  • Jupyter Notebook

Computational data tools for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics

  • Updated May 1, 2017
  • Jupyter Notebook

Free WordPress Plugin: Compound interest calculator that uses the interest formula (A = P(1 + r/n)ⁿᵗ) to help users understand the impacts of compound interest and money growth over time. www.calculator.io/compound-interest-calculator/

  • Updated May 15, 2024
  • JavaScript

In this project we will be using the publicly available and Kaggle-popular LendingClub data set to train Linear Regression and Extreme Gradient Descent Boosted Decision Tree models to predict interest rates assigned to loans. First, we will clean and prepare the data. This includes feature removal, feature engineering, and string processing.The…

  • Updated Aug 17, 2018
  • Jupyter Notebook

In this project, I show how different combinations and components of term spread have varying shapes, which can be analyzed in order to understand movements in the economy. Calculating term spread dispersion can help us better price risk in the bond market. Term spread combinations have varying power in explaining future movements in macro varia…

  • Updated Dec 5, 2022
  • R

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