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A structural VAR approach to the log-linear model : Evidence of regional stock markets

  • Ming Wu College of Business Pusan National University
  • Kiyool Ohk College of Business Pusan National University
  • Kwangsoo Ko College of Business Pusan National University
We develop a log-linear structural VAR model to decompose unexpected excess market returns into permanent and temporary cash-flow news, discount-rate news, and nonfundamental news. We make some important findings. First, contrary to recent evidence for the United States, we find that discount-rate news plays a more important role than cash-flow news in global stock markets. Second, non-fundamental factor (i.e., investor sentiment) also plays a role in developed regional stock markets outside the United States. Finally, risk premiums are significantly higher in a down market than in an up market.

  • Ming Wu
  • Kiyool Ohk
  • Kwangsoo Ko
We develop a log-linear structural VAR model to decompose unexpected excess market returns into permanent and temporary cash-flow news, discount-rate news, and nonfundamental news. We make some important findings. First, contrary to recent evidence for the United States, we find that discount-rate news plays a more important role than cash-flow news in global stock markets. Second, non-fundamental factor (i.e., investor sentiment) also plays a role in developed regional stock markets outside the United States. Finally, risk premiums are significantly higher in a down market than in an up market.
Log-linear SVAR model,Regional stock markets,Decomposed news,Market status