Gil-Alana, Luis A. and Mudida, Robert and Yaya, OlaOluwa S and Osuolale, Kazeem and Ogbonna, Ephraim A (2019): Influence of US Presidential Terms on S&P500 Index Using a Time Series Analysis Approach.
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Abstract
This paper examines the influence of US presidential terms on the stock market by focusing on the S&P500 index. Fractional integration techniques, which are more general than other standard methods, are used and the results obtained produce interesting findings. It was found that during the second presidential terms, stock markets are less efficient and present higher degrees of persistence in their volatilities. This is observed independently of the political affiliations of the president in power. The volatility, in general, reflects the spillover of economic excesses at the end of the first presidential term when seeking re-election into the second term in office. Expansionary monetary and fiscal policies at the end of the first term may create disequilibria in the economy which are amplified in the second term through a transmission mechanism resulting in contractionary interventionist policies in a situation where no incentive for re-election exists by the incumbent
Item Type: | MPRA Paper |
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Original Title: | Influence of US Presidential Terms on S&P500 Index Using a Time Series Analysis Approach |
Language: | English |
Keywords: | emocratic party; Fractional integration; Republican party; Stocks; US Presidential terms |
Subjects: | C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C22 - Time-Series Models ; Dynamic Quantile Regressions ; Dynamic Treatment Effect Models ; Diffusion Processes H - Public Economics > H5 - National Government Expenditures and Related Policies > H54 - Infrastructures ; Other Public Investment and Capital Stock |
Item ID: | 95559 |
Depositing User: | Dr OlaOluwa Yaya |
Date Deposited: | 16 Aug 2019 11:43 |
Last Modified: | 28 Sep 2019 03:32 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/95559 |
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Influence of US Presidential Terms on S&P500 Index Using a Time Series Analysis Approach. (deposited 16 May 2019 13:18)
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