OpenSourceEcon/usempl-plots

Package for creating various plots of US employment and unemployment

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AmirMotefaker/Recession-Analysis

A recession is an economic situation that arrives when the circulation of money in the economy is low for two consecutive quarters. When the circulation of money is low, it means people are not spending money in the market.

Language: Jupyter Notebook - Size: 197 KB - Last synced: 29 days ago - Pushed: 29 days ago - Stars: 0 - Forks: 0

vitorgamer58/AmericanRecessionPredict

Código em Python para prever uma recessão nos Estados Unidos da América

Language: Python - Size: 5.86 KB - Last synced: about 2 months ago - Pushed: almost 4 years ago - Stars: 3 - Forks: 0

anshgupta2000/Recession-Predictor-

Data Science Project for Predicting the next Recession in the United States from Scratch

Language: Jupyter Notebook - Size: 219 KB - Last synced: 2 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 1

neerajcodes888/Recession-Analysis-With-Prediction

RecessionAnalysis with Prediction uses data-driven approaches to understand and forecast economic downturns. Through statistical models and machine learning, it analyzes historical trends and equips stakeholders with valuable insights for informed decision-making in uncertain times.

Language: Jupyter Notebook - Size: 1.74 MB - Last synced: about 1 month ago - Pushed: 2 months ago - Stars: 1 - Forks: 0

OpenSourceEcon/USempl_NormPeakPlot 📦

Package for creating normalized peak plot of U.S. nonfarm employment (PAYEMS) in last 15 recessions

Language: HTML - Size: 38.4 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 4 - Forks: 5

OpenSourceEcon/usempl_plots

Package for creating various plots of U.S. employment and unemployment

Language: HTML - Size: 883 KB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 0 - Forks: 1

justinjjlee/Okun-Phillips-620

Language: Julia - Size: 310 KB - Last synced: 4 months ago - Pushed: almost 3 years ago - Stars: 1 - Forks: 0

jonasknappitsch/us-treasury-yield-visualization

This python project makes use of matplotlib and numpy to visualize the spread between short and long term US treasury bond rates (yield rates). The resulting spread can indicate upcoming economical recessions. Predictions made based on that so called yield curve inversion has proven its accuracy for 6 out of 7 recessions in the past and is renowned as one of the most accurate recession indicators.

Language: Python - Size: 438 KB - Last synced: 6 months ago - Pushed: over 3 years ago - Stars: 2 - Forks: 1

divyachandramouli/Impact-of-recession-on-housing-prices

Evaluated the impact of recession on housing prices with data from Zillow research

Language: Jupyter Notebook - Size: 21.5 KB - Last synced: 7 months ago - Pushed: about 6 years ago - Stars: 0 - Forks: 0

asaficontact/term_spread_combinations

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 variable. It shows that the spanning hypothesis of the term spread against a macro variable might hold true depending on the combination and component of term spread that we are taking into consideration. This project provides a mechanism through which we can identify the best combination of a term spread for creating an efficient􏰐 macro 􏰍finance model.

Language: R - Size: 56.7 MB - Last synced: 8 months ago - Pushed: over 1 year ago - Stars: 6 - Forks: 3

apsinghAnalytics/BearMarketFollowThroughs

Python Script for Calculating and Visualization Follow Through Rallies during Bear Markets

Language: Python - Size: 2.78 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 0 - Forks: 1

apsinghAnalytics/US_RecessionIndicatorsAndGoogleTrends

Power BI Dashboard Tracking Recession Indicators: Macro-Economic Data and Google Trends using Web-Scraping and PyTrends API

Language: Python - Size: 1.34 MB - Last synced: 9 months ago - Pushed: 10 months ago - Stars: 0 - Forks: 0

h1102sh-Developer/CodeClause_Content_Writer

Hello Everyone In this repository you will get all the Projects which I completed in my content writer internship under the Guidance of Code Clause .

Size: 548 KB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

OpenSourceEcon/USgdp_NormPeakPlot

Package for creating normalized peak plot of U.S. real GDP (GDPC1) in last 15 recessions

Language: HTML - Size: 29.9 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 3 - Forks: 2

JamesQuintero/Recession-Indicator

September 2019, no recession predicted - Uses Machine Learning to detect whether the United States is entering a recession

Language: Python - Size: 17.5 MB - Last synced: about 1 year ago - Pushed: over 4 years ago - Stars: 20 - Forks: 14

Jeve-Stobs/bred

Is the party over? An analysis of recessionary indicators written in Rust & TypeScript

Language: TypeScript - Size: 2.81 MB - Last synced: 11 days ago - Pushed: 10 months ago - Stars: 1 - Forks: 0

UtkarshC99/Employee-Attrition-Prediction

The COVID-19 pandemic has left many working professionals unemployed. As countries get pushed further towards the edge of the cliff and into an economic recession, analysis of the attrition of employees becomes vital to the HR department of an organisation, and to the future of a company. The dataset for this project was provided by IBM.

Language: Jupyter Notebook - Size: 187 KB - Last synced: about 1 year ago - Pushed: almost 3 years ago - Stars: 0 - Forks: 1

Arihant1467/Forecasting-finacial-and-market-bubble

Predicting the next recession. As we know the great depression and how mortage prices went unmonitored and prices were floating above the marked rates. This project shows trends of the great depression for the coming fiscal year and helps you estimate the price of any property which you are willing to invest and help you decide about its worthiness. Tech stack involves: Go, React, Javascript, Python, Machine Learning, Multivariate Model, Data Science, Charts, D3, AWS Kinesis, AWS SageMaker. This project is developed as part of Major Project towards the degree requirements of SJSU.

Language: HTML - Size: 112 MB - Last synced: about 1 year ago - Pushed: over 3 years ago - Stars: 0 - Forks: 1