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Federal Funds Rate, 1997-2015: Data Analysis

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Data Analysis
1) Federal Funds Rate (monthly), 1997-2017: The Federal Funds Rate is a crucial tool used by the Federal Reserve to manage the U.S. economy. By adjusting the Federal Funds Rate, the Federal Reserve can influence the level of economic activity, inflation, and employment. The dataset you provided covers the period from 1997 to 2017 and contains monthly data on the Federal Funds Rate.
An analysis of this dataset shows that the Federal Reserve reduced interest rates to historic lows in the early 2000s to stimulate economic growth after the dot-com bubble burst. The Federal Reserve then raised interest rates in the mid-2000s to combat inflationary pressures and a housing market bubble. The Global Financial Crisis of 2008 led to a …show more content…

economy.
2) NASDAQ Composite Index, 1975-2017:
The NASDAQ Composite Index is a widely watched index that reflects the performance of technology and growth stocks listed on the NASDAQ stock exchange. The dataset you provided covers the period from 1975 to 2017 and contains monthly data on the NASDAQ Composite Index.
An analysis of this dataset shows that the NASDAQ Composite Index experienced significant growth in the 1990s as the technology industry boomed. The dot-com bubble burst in the early 2000s led to a sharp decline in the NASDAQ Composite Index, with many technology companies going bankrupt. The NASDAQ Composite Index then rebounded in the mid-2000s and continued to grow until the Global Financial Crisis of 2008, which caused another sharp decline in the index. The NASDAQ Composite Index then recovered and reached all-time highs in the late 2010s.
Overall, an analysis of the NASDAQ Composite Index dataset can provide insights into the trends and volatility in the technology and growth sectors of the stock market.
3) S&P/Case-Shiller 10-City Composite Home Price Index (Seasonally Adjusted), …show more content…

It is considered a leading indicator of the health of the U.S. housing market. The dataset you provided covers the period from 1995 to 2017 and contains monthly data on the S&P/Case-Shiller 10-City Composite Home Price Index.
An analysis of this dataset shows that the S&P/Case-Shiller 10-City Composite Home Price Index experienced significant growth in the early 2000s, with home prices increasing rapidly in many major U.S. cities. The Global Financial Crisis of 2008 led to a sharp decline in home prices, with many homeowners losing their homes to foreclosure. Home prices then slowly recovered in the 2010s, with the S&P/Case-Shiller 10-City Composite Home Price Index reaching all-time highs in the late

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