READY SIGNAL CONTROL DATA

Commercial Banks Loans - Seas Adj

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 Banks Loans - Seas Adj

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Automated Data Profiling

Ready Signal automatically profiles each data set and offers up suggested industry standard data science treatments to utilize with these data in your models.

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 Boxcox variable will also perform well.

Grain Transformation:

Data is able to be distributed by time but not by geography. The roll up method used is Sum.

Source:
Board of Governors of the Federal Reserve

Release:
Commercial and Industrial Loans

Units:
Billions of U.S. Dollars

Frequency:
Weekly, Ending Wednesday

Available Through:
01/24/2023

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 Boxcox variable will also perform well.

Grain Transformation:

Data is able to be distributed by time but not by geography. The roll up method used is Sum.

Auto Correlation Analysis:

Data shows auto correlation indicating a need for differencing

The ACF indicates 1 order differencing is appropriate.

Further differencing is reccommended

Trend Analysis:

The Kwiatkowski-Phillips-Schmidt-Shin (KPSS) test, KPSS Trend = 0.35 p-value = 0.01 indicates that the data is not stationary.

Distribution Analysis:

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 0.01 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

Statistics (Pearson P/ df, lower => more normal)

No transform
10.46
Box-cox
2.04
Log_b(x-a)
2.44
sqrt(x+a)
2.18
exp(x)
NA
arcsinh(x)
2.44
Yeo-Johnson
2.04
OrderNorm
1.27

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), Commercial and Industrial Loans, All Commercial Banks [TOTCI], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/TOTCI, November 11, 2019.

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