Time-varying causal relationship between stock market and unemployment in the United Kingdom: Historical evidence from 1855 to 2017
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DOI: 10.1016/j.mulfin.2019.02.003
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- Xolani Sibande & Rangan Gupta & Mark E. Wohar, 2018. "Time-Varying Causal Relationship between Stock Market and Unemployment in the United Kingdom: Historical Evidence from 1855 to 2017," Working Papers 201863, University of Pretoria, Department of Economics.
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- Caporina, Massimiliano & Costola, Michele, 2021. "Time-varying granger causality tests for applications in global crude oil markets: A study on the DCC-MGARCH Hong test," SAFE Working Paper Series 324, Leibniz Institute for Financial Research SAFE.
- Periklis Gogas & Theophilos Papadimitriou & Emmanouil Sofianos, 2022. "Forecasting unemployment in the euro area with machine learning," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(3), pages 551-566, April.
- Shoukun Jiao & Wuyi Ye, 2022. "Dependence and Systemic Risk Analysis Between S&P 500 Index and Sector Indexes: A Conditional Value-at-Risk Approach," Computational Economics, Springer;Society for Computational Economics, vol. 59(3), pages 1203-1229, March.
- Caporin, Massimiliano & Costola, Michele, 2022. "Time-varying Granger causality tests in the energy markets: A study on the DCC-MGARCH Hong test," Energy Economics, Elsevier, vol. 111(C).
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More about this item
Keywords
Time-varying Granger causality; Stock market returns; Unemployment;All these keywords.
JEL classification:
- C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
- J01 - Labor and Demographic Economics - - General - - - Labor Economics: General
- G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
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