READY SIGNAL CONTROL DATA

Corporate Profits After Tax (w/out IVA & CCAdj)

Why Use This Data Source In Your Models?

Corporate profits after tax describes the profits claimed by American corporations each quarter. This is indicative of GDP and overall economic health in the UDS each quarter.

Corporate Profits After Tax (w/out IVA & CCAdj)

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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 seasonality. The data should be adjusted. While the Boxcox transformation, provides the best normality, the Untransformed 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:
U.S. Bureau of Economic Analysis

Release:
Gross Domestic Product

Units:
Billions of Dollars, Seasonally Adjusted Annual Rate

Frequency:
Quarterly

Available Through:
06/30/2022

Suggested Treatment:

The data shows seasonality. The data should be adjusted. While the Boxcox transformation, provides the best normality, the Untransformed 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 does not show strong auto correlation indicating no need for differencing

The ACF indicates 0 order differencing is appropriate.

Following first order differencing, no further differencing is required based on the differenced ACF at lag one of -0.02

Trend Analysis:

The Kwiatkowski-Phillips-Schmidt-Shin (KPSS) test, KPSS Trend = 0.10 p-value = 0.10 indicates that the data is stationary.

Distribution Analysis:

The Shapiro-Wilk test returned W = 0.96 with a p-value =0.22 indicating the data follows a normal distribution.

A skewness score of -0.69 indicates the data are moderately skewed.

Hartigan's dip test score of 0.06 with a p-value of 0.54 inidcates the data is unimodal

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

No transform
1.37
Box-cox
1.37
Log_b(x-a)
1.45
sqrt(x+a)
1.37
exp(x)
NA
arcsinh(x)
1.45
Yeo-Johnson
NA
OrderNorm
1.59

Auto Correlation Function

Auto Correlation Function After Differencing

Partial Auto Correlation Function

Seasonal Impact

Seasonal and Trend Decompostion


Citation:

U.S. Bureau of Economic Analysis, Corporate Profits After Tax (without IVA and CCAdj) [CP], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/CP, December 15, 2019.

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