Output Growth and its Volatility: The Gold Standard through the Great Moderation.

This study examines the relationship between U.S. output growth and its volatility over the period 1876:1 to 2012:11. We adjust the data for outliers and structural breaks. We employ generalized autoregressive conditional heteroskedasticity (GARCH) and exponential GARCH (EGARCH) specifications. Norm...

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Publicado en:Southern Economic Journal Vol. 80; no. 3; pp. 728 - 752
Autores principales: Fangand, WenShwo, Miller, Stephen M.
Formato: Artículo
Publicado: Wiley-Blackwell Jan2014
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Output Growth and its Volatility: The Gold Standard through the Great Moderation.
      aug:
        au:
          Fangand, WenShwo
          Miller, Stephen M.
        affil:
          Department of Economics, Feng Chia University, 100 WenHwa Road, Taichung, Taiwan
          Department of Economics, University of Nevada, Las Vegas, 4505 Maryland Parkway, Las Vegas, NV 89154-6005, USA
      su:
        United States
        GARCH model
        Financial markets
        Market volatility
        Gross national product
      sug:
        subj:
          United States
          Investment Banking and Securities Dealing
          Securities and Commodity Exchanges
          GARCH model
          Financial markets
          Market volatility
          Gross national product
      ab: This study examines the relationship between U.S. output growth and its volatility over the period 1876:1 to 2012:11. We adjust the data for outliers and structural breaks. We employ generalized autoregressive conditional heteroskedasticity (GARCH) and exponential GARCH (EGARCH) specifications. Normality and homoskedasticity appear only in the GARCH or EGARCH model that corrects for the outliers. When including the break in the mean equation, high volatility persistence remains. After also accommodating the breaks in the variance equation, the integrated GARCH effect proves spurious, either for the symmetric or the asymmetric model. Finally, our empirical results suggest that the finding of higher output growth volatility stimulating output growth and higher output growth reducing its volatility obtained from the symmetric GARCH-in-mean (GARCH-M) model also proves spurious as a result of the emergence of an asymmetric effect. Our more appropriately specified asymmetric EGARCH-M model suggests positive volatility-in-mean and level effects in the long-period real gross national product series.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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