READY SIGNAL CONTROL DATA

Stock Market Capitalization to GDP, US

Why Use This Data Source In Your Models?

Stock Market Capitalization to GDP describes the ratio of the value of the US stock market to the value of the total output of goods and services in the US. This is used to determine whether the overall market is undervalued or overvalued.

Stock Market Capitalization to GDP, US

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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, seasonality and a non-normal distribution. The data should be differenced and seasonally adjusted. While the Order Norm transformation, provides the best normality, the Untransformed 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.

Source:
World Bank

Release:
Global Financial Development

Units:
Percent, Not Seasonally Adjusted

Frequency:
Annual

Available Through:
12/31/2019

Suggested Treatment:

The data shows auto correlation, seasonality and a non-normal distribution. The data should be differenced and seasonally adjusted. While the Order Norm transformation, provides the best normality, the Untransformed 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 1 order differencing is appropriate.

Further differencing is reccommended

Trend Analysis:

The Kwiatkowski-Phillips-Schmidt-Shin (KPSS) test, KPSS Trend = 0.18 p-value = 0.02 indicates that the data is not stationary.

Distribution Analysis:

The Shapiro-Wilk test returned W = 0.74 with a p-value =0.00 indicating the data does not follow a normal distribution.

A skewness score of 0.06 indicates the data are fairly symmetrical.

Hartigan's dip test score of 0.15 with a p-value of 0.00 inidcates the data is multimodal

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

No transform
3.81
Box-cox
NA
Log_b(x-a)
5.07
sqrt(x+a)
4.41
exp(x)
NA
arcsinh(x)
4.88
Yeo-Johnson
4.88
OrderNorm
3.72

Auto Correlation Function

Auto Correlation Function After Differencing

Partial Auto Correlation Function


Data Notes:

2020 data is not currently available.

Citation:

World Bank, Stock Market Capitalization to GDP for United States [DDDM01USA156NWDB], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/DDDM01USA156NWDB, December 15, 2019.

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