Alternatives and similar repositories for Tidy-finance-with-R-Python-version-:

Users that are interested in Tidy-finance-with-R-Python-version- are comparing it to the libraries listed below

• tidy-finance / website
  This repository hosts the source code for the website tidy-finance.org
  ☆91Updated this week
• bashtage / AFE2020
  Advanced Financial Econometrics - Trinity Term 2020
  ☆27Updated 3 years ago
• marcinbielecki / Applied_Macroeconomics
  Applied Macroeconomics, a course taught at the University of Warsaw
  ☆20Updated 4 years ago
• as4456 / Leo_Krippner_SSR
  Contains Python code and files used to estimate shadow rate using Krippner's K-ANSM(2) with an estimated lower bound term structure model
  ☆14Updated 3 years ago
• ncachanosky / Macro-with-Python
  Macro with Python
  ☆54Updated 3 years ago
• joergrieger / bvars
  R package for Bayesian Vector Autoregression
  ☆30Updated 4 years ago
• lnsongxf / Applied_Computational_Economics_and_Finance
  ECON457 2018 Applied Computational Economics and Finance
  ☆26Updated 7 years ago
• bank-of-england / InterpretableMLWorkflow
  ☆16Updated 7 months ago
• letsgoexploring / economic-data
  Python programs for constructing various economic datasets
  ☆54Updated 4 months ago
• jstriaukas / midasml
  midasml package is dedicated to run predictive high-dimensional mixed data sampling models
  ☆38Updated last year
• bashtage / python-for-econometrics-statistics-data-analysis
  Code from "Introduction to Python for Econometrics, Statistics and Data Analysis" by Kevin Sheppard
  ☆74Updated 3 years ago
• davidrpugh / econometrics-labs
  Graduate level econometrics labs in Python/R
  ☆44Updated 12 years ago
• UW-Nicholas-Center / Adage
  ☆11Updated 5 years ago
• jessegrabowski / gEconpy
  A collection of tools for working with DSGE models in python, inspired by the R package gEcon
  ☆28Updated last week
• chenandrewy / flex-mining
  code for turning data sets into trading strategies
  ☆35Updated last week
• Akai01 / caretForecast
  Conformal Time Series Forecasting Using State of Art Machine Learning Algorithms
  ☆24Updated 2 years ago
• arpitrage / Dividend_Strip
  Contains data and documentation for paper: "Valuing Private Equity Investments Strip by Strip" with Arpit Gupta and Stijn Van Nieuwerburg…
  ☆22Updated 3 years ago
• edrubin / EC421S20
  Introduction to Econometrics at the University of Oregon (EC421) during Spring quarter, 2020. Taught by Ed Rubin
  ☆15Updated 3 years ago
• zeyuz35 / Evaluation-of-Machine-Learning-in-Asset-Pricing
  ☆28Updated 3 years ago
• chicago-joe / Option-Pricing-via-Levy-Models-in-R
  using the Inverse-Transform method to speed up options pricing simulations in R
  ☆27Updated 5 years ago
• dhopp1 / nowcasting_benchmark
  Accompaniment to nowcasting benchmark paper, illustrating how to estimate each of the methods examined in either R or Python.
  ☆43Updated last year
• rubetron / AssetAllocation
  R package AssetAllocation
  ☆35Updated last year
• rahkum96 / Credit-Risk-Modelling-in-Python
  Credit risk refers to the chance that a borrower will be unable to make their payments on time and default on their debt.
  ☆10Updated 3 years ago
• Techtonique / ahead_python
  Univariate and multivariate time series forecasting, with uncertainty quantification (Python & R)
  ☆13Updated 4 months ago
• asitav-sen / IFRSassistant
  Shiny app for IFRS provisioning and estimated loss report
  ☆10Updated 3 years ago
• IshmaelBelghazi / ThreePass
  Three Pass Regression Filter for R
  ☆15Updated 9 years ago
• kokoff / deep-forecast
  Forecasting Macroeconomic Parameters with Deep Learning Neural Networks - Final Year Peoject
  ☆13Updated 6 years ago
• vgreg / python-finance-unimelb2018
  Material for a Python for Finance workshop at the University of Melbourne in 2018
  ☆16Updated 6 years ago
• Stellenbosch-Econometrics / AdvancedTimeSeries-872
  Bayesian methods for time series analysis with code in Julia
  ☆14Updated last year