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
Global Financial Development
Percent, Not Seasonally Adjusted
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.
Data is unable to be distributed by time or geography. The roll up method used is Weighted Average.
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 = 0.18 p-value = 0.02 indicates that the data is not stationary.
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
Auto Correlation Function
Auto Correlation Function After Differencing
Partial Auto Correlation Function
2020 data is not currently available.
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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