The Impact of a Daily Political Risk Factor on the U.S Stock Market Before and After Donald Trump’s Election: A Quantile Regression Method

Published: 12 June 2019| Version 1 | DOI: 10.17632/7tbbb55dz2.1
Contributors:
hechem ajmi,

Description

A daily data ranging from January 2014 until December 2018 is employed. The period between January, 1, 2014 until November 7, 2016 refers to the pre-election period. The period ranging from November 8, 2016, until December, 31 2018 defines the post-election period. Four U.S stock price indices are retrieved from DataStream: The standard and Poor’s 500 index (S&P 500) covers the performance of 500 largest capitalization stocks. The Dow Jones Industrial Average (DJIA) index tracks the prices of the top 30 US companies. The NASDAQ 100 measures the performance of the 100 largest non-financial stocks traded on NASDAQ. The Russell 2000 index covers the performance of 2.000 lowest capitalization stocks. A daily political risk index is calculated for each period using Google trends and the principal component analysis.

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Categories

Financial Time Series Analysis, Time Series, Political Risk

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