• Forecasting risk via realized GARCH, incorporating the realized range 

      Richard, Gerlach; Chao, Wang
      Published 2014-11-07
      The realized GARCH framework is extended to incorporate the realized range, and the intra-day range, as potentially more efficient series of information than re- alized variance or daily returns, for the purpose of volatility ...
      Open Access
      Working Paper
    • Bayesian Tail Risk Forecasting using Realised GARCH 

      Contino, Christian; Gerlach, Richard
      Published 2014-10-10
      A Realised Volatility GARCH model is developed within a Bayesian framework for the purpose of forecasting Value at Risk and Conditional Value at Risk. Student-t and Skewed Student-t return distributions are combined with ...
      Open Access
      Working Paper
    • Bayesian Assessment of Dynamic Quantile Forecasts 

      Gerlach, Richard; Chen, Cathy W.S.; Lin, Edward M.H.
      Published 2014-09-10
      Methods for Bayesian testing and assessment of dynamic quantile forecasts are proposed. Specifically, Bayes factor analogues of popular frequentist tests for independence of violations from, and for correct coverage of a ...
      Open Access
      Working Paper
    • Consistent Estimation of Linear Regression Models Using Matched Data 

      Prokhorov, Artem; Hirukawa, Masayuki
      Published 2014-09-05
      Economists often use matched samples, especially when dealing with earnings data where a number of missing observations need to be imputed. In this paper, we demonstrate that the ordinary least squares estimator of the ...
      Open Access
      Working Paper
    • Semi-parametric Expected Shortfall Forecasting 

      Gerlach, Richard; Chen, Cathy W.S.
      Published 2014-04-01
      Intra-day sources of data have proven effective for dynamic volatility and tail risk estimation. Expected shortfall is a tail risk measure, that is now recommended by the Basel Committee, involving a conditional expectation ...
      Open Access
      Working Paper