Page 280 - Contributed Paper Session (CPS) - Volume 6
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CPS1929 Takayuki M.

























                                  Fig. 2 Long and Short Run Correlations (NK225 and JT)
                  References:
                  1.  Asgharian, H., Christiansen, C., Gupta, R., and Hou, A. J. (2016). Effects of
                      Economic  Policy  Uncertainty  Shocks  on  the  Long-Run  US-UK  Stock
                      Market    Correlation   (October   3,   2016).   Available   at   SSRN:
                      https://ssrn.com/abstract=2846925                                    or
                      http://dx.doi.org/10.2139/ssrn.2846925.
                  2.  Baker, S.R., Bloom, N., and Davis, S.J. (2016). Measuring Economic Policy
                      Uncertainty. The Quarterly Journal of Economics 131: 1593-1636.
                  3.  Colacito, R., Engle, R.F., and Ghysels, E. (2011). A Component Model for
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                  4.  Conrad,  C.,  Loch,  K.,  and  Rittler,  D.  (2014).  On  the  macroeconomic
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                      crude oil markets. Journal of Empirical Finance 29: 26-40.
                  5.  Engle,  R.  (2002).  Dynamic  conditional  correlation  -  a  simple  class  of
                      multivariate GARCH models. Journal of Business and Economic Statistics
                      20: 339-350.
                  6.  Engle, R. F., Ghysels, E., and Sohn, B. (2013). Stock market volatility and
                      macroeconomic fundamentals. The Review of Economics and Statistics 95:
                      776-797.
                  7.  Ghysels, E., Santa-Clara, P., and Valkanov, R. (2004). The MIDAS Touch:
                      Mixed Data Sampling Regression Models, CIRANO Working Paper 2004s-
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                  8.  Ghysels, E., Santa-Clara, P., and Valkanov, R. (2006). Predicting volatility:
                      Getting  the  most  out  of  return  data  sampled  at  different  frequencies.
                      Journal of Econometrics 131: 59-95.






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