Why Use This Data Source In Your Models?
The dollar amount of commercial and industrial loans given in a week measures the availability of capital in commercial banks and business' desire for extra capital. This indicates the stability and growth of the economy as a whole.
Commercial Bank Loans - Not Seas Adj
Board of Governors of the Federal Reserve
Commercial and Industrial Loans
Billions of U.S. Dollars
Weekly, Ending 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 Square Root 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 1 order differencing is appropriate.
Further differencing is reccommended
The Kwiatkowski-Phillips-Schmidt-Shin (KPSS) test, KPSS Trend = 0.33 p-value = 0.01 indicates that the data is not stationary.
The Shapiro-Wilk test returned W = 0.97 with a p-value =0.00 indicating the data does not follow a normal distribution.
A skewness score of 0.03 indicates the data are fairly symmetrical.
Hartigan's dip test score of 0.04 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), Commercial and Industrial Loans, All Commercial Banks [TOTCINSA], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/TOTCINSA, November 11, 2019.
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