Federal Funds Target Range Upper Limit
Why Use This Data Source In Your Models?
The federal funds target rates measures the interest rate at which banks lend each other excess money. This is set by the Fed 8 times a year and is indicative of the overall economic situation in the US.
Federal Funds Target Range Upper Limit
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Automated Data Profiling
Suggested Treatment:
Grain Transformation:
Source:
Board of Governors of the Federal Reserve
Release:
Federal Funds Range
Units:
Percent, Not Seasonally Adjusted
Frequency:
Daily, 7-day
Available Through:
05/10/2025
Suggested Treatment:
The data shows auto correlation and a non-normal distribution. The data should be differenced. While the Order Norm transformation, provides the best normality, the Square Root variable will also perform well.
Grain Transformation:
Data is unable to be distributed by time or geography. The roll up method used is Weighted Average.
Auto Correlation Analysis:
Data shows auto correlation indicating a need for differencing
The ACF indicates 2 order differencing is appropriate.
Following first order differencing, no further differencing is required based on the differenced ACF at lag one of 0.00
Trend Analysis:
The Kwiatkowski-Phillips-Schmidt-Shin (KPSS) test, KPSS Trend = 2.57 p-value = 0.01 indicates that the data is not stationary.
Distribution Analysis:
The Shapiro-Wilk test returned W = 0.72 with a p-value =0.00 indicating the data does not follow a normal distribution.
A skewness score of 1.30 indicates the data are substantially skewed.
Hartigan's dip test score of 0.05 with a p-value of 0.00 inidcates the data is multimodal
Statistics (Pearson P/ df, lower => more normal)
Auto Correlation Function
Auto Correlation Function After Differencing
Partial Auto Correlation Function
Seasonal Impact
Seasonal and Trend Decompostion
Citation:
Board of Governors of the Federal Reserve System (US), Federal Funds Target Range - Upper Limit [DFEDTARU], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/DFEDTARU, December 19, 2019.
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