recession

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.

OpenSourceEcon/USempl_NormPeakPlot

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

OpenSourceEcon/USgdp_NormPeakPlot

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

vitorgamer58/AmericanRecessionPredict

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

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.

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.

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.

Jeve-Stobs/bred

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

justinjjlee/Okun-Phillips-620

apsinghAnalytics/BearMarketFollowThroughs

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

apsinghAnalytics/US_RecessionIndicatorsAndGoogleTrends

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

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.

daraeoh/US-Consumer-Attitudes

The Effect of the U.S. Great Recession on Consumer Attitudes

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 .

htso/bear_market

Bear Market of 2020

htso/Monumental_Day

[June 5, 2020] How could the stock market recover in 76 days?

pkhiyara/1995-2015-Marriage-Education-Trends-Visualization

A Tableau data story that consists of multiple visualizations analyzing the relationship between marriage and education trends in the United States between 1995 and 2015, determining how each trend was impacted by economic recessions over the years, and investigating the relationship's overall impact on each state's median household income.

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.

anshgupta2000/Recession-Predictor-

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

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

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

khaled-ma-seleem/automobile-sales-at-recession

An analysis of the impact of recessions on automobile sales examines trends, distributions, and regional variations in sales during recession and non-recession periods. It provides insights into how different vehicle types are affected by economic downturns.

OpenSourceEcon/usempl-plots

Package for creating various plots of US employment and unemployment