Why Use This Data Source In Your Models?
This metric measures how money is flowing through the financial sector.
All Fed Reserve Banks, Total Assets Less Consolidation Elim.
Board of Governors of Fed Reserve System
Factors Affecting Reserve Balances
Millions of US Dollars, Not Seasonally Adjusted
Weekly, as of Wednesday
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 Yeo Johnson variable will also perform well.
Data is able to be distributed by time but not by geography. The roll up method used is Sum.
Data shows auto correlation indicating a need for differencing
The ACF indicates 2 order differencing is appropriate.
Further differencing is reccommended
The Kwiatkowski-Phillips-Schmidt-Shin (KPSS) test, KPSS Trend = 1.70 p-value = 0.01 indicates that the data is not stationary.
The Shapiro-Wilk test returned W = 0.76 with a p-value =0.00 indicating the data does not follow a normal distribution.
A skewness score of -1.15 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
Auto Correlation Function
Auto Correlation Function After Differencing
Partial Auto Correlation Function
Seasonal and Trend Decompostion
Board of Governors of the Federal Reserve System (US), Assets: Total Assets: Total Assets (Less Eliminations From Consolidation): Wednesday Level [WALCL], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/WALCL, December 19, 2019.
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