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Time-varying evidence of predictability of financial stress in the United States over a century: The role of inequality

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  • Balcilar, Mehmet
  • Berisha, Edmond
  • Gupta, Rangan
  • Pierdzioch, Christian

Abstract

In this paper, we analyze time-varying predictability of financial stress due to growth in income inequality of the United States (US) over the annual period of 1913 to 2016. In order to ensure that we remove the asset price effects on income inequality, and provide incorrect inferences regarding the impact on financial stress, we work with capital-gains excluded six alternative measures of top shares of pretax income and wages. We find that the top 10%, the top 10% to 5%, and the top 5% to 1% inequality growth rates tend to predict financial stress relatively better than the corresponding inequality growth rates associated with the top 1%, top 0.1%, and the top 0.01% of the income distribution. Moreover, all the six metrics of inequality growth is capable of predicting the heightened financial stress observed during the onset of the Great Depression and the same associated with the recent global financial crisis. Finally, our in-sample evidence of predictability tends to carry over to an out-of-sample forecasting exercise under four out of the six measures of inequality considered, and in particular for the broader measures of inequality – a result consistent with our in-sample analysis.

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  • Balcilar, Mehmet & Berisha, Edmond & Gupta, Rangan & Pierdzioch, Christian, 2021. "Time-varying evidence of predictability of financial stress in the United States over a century: The role of inequality," Structural Change and Economic Dynamics, Elsevier, vol. 57(C), pages 87-92.
  • Handle: RePEc:eee:streco:v:57:y:2021:i:c:p:87-92
    DOI: 10.1016/j.strueco.2021.02.002
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    Cited by:

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    2. Chevaughn van der Westhuizen & Renee van Eyden & Goodness C. Aye, 2022. "Is Inflation Uncertainty a Self-Fulfilling Prophecy? The Inflation-Inflation Uncertainty Nexus and Inflation Targeting in South Africa," Working Papers 202254, University of Pretoria, Department of Economics.
    3. Ghosh, Indranil & Jana, Rabin K. & David, Roubaud & Grebinevych, Oksana & Wanke, Peter & Tan, Yong, 2024. "Modelling financial stress during the COVID-19 pandemic: Prediction and deeper insights," International Review of Economics & Finance, Elsevier, vol. 91(C), pages 680-698.
    4. Cepni, Oguzhan & Emirmahmutoglu, Furkan & Guney, Ibrahim Ethem & Yilmaz, Muhammed Hasan, 2023. "Do the carry trades respond to geopolitical risks? Evidence from BRICS countries," Economic Systems, Elsevier, vol. 47(2).

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    More about this item

    Keywords

    Financial stress; Inequality; Time-varying predictions;
    All these keywords.

    JEL classification:

    • 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
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • G01 - Financial Economics - - General - - - Financial Crises

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