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  • Discipline of Business Analytics
  • Business Analytics Working Paper Series
  • Recent submissions
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  • The University of Sydney
  • University of Sydney Business School
  • Discipline of Business Analytics
  • Business Analytics Working Paper Series
  • Recent submissions
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Business Analytics Working Paper Series: Recent submissions

    • Multiple Event Incidence and Duration Analysis for Credit Data Incorporating Non-Stochastic Loan Maturity 

      Vasnev, Andrey; Gerlach, Richard; Watkins, John
      Published 2012-12-01
      Applications of duration analysis in Economics and Finance exclusively employ methods for events of stochastic duration. In application to credit data, previous research incorrectly treats the time to pre-determined maturity ...
      Open Access
      Working Paper
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    • Practical considerations for optimal weights in density forecast combination 

      Vasnev, Andrey; Pauwels, Laurent
      Published 2013-01-01
      The problem of finding appropriate weights to combine several density forecasts is an important issue currently debated in the forecast combination literature. Recently, a paper by Hall and Mitchell (IJF, 2007) proposes ...
      Open Access
      Working Paper
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    • Forecast combination for U.S. recessions with real-time data 

      Vasnev, Andrey; Pauwels, Laurent
      Published 2013-01-01
      This paper proposes the use of forecast combination to improve predictive accuracy in forecasting the U.S. business cycle index as published by the Business Cycle Dating Committee of the NBER. It focuses on one-step ahead ...
      Open Access
      Working Paper
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    • Maximum likelihood estimation of time series models: the Kalman filter and beyond 

      Proietti, Tommaso; Luati, Alessandra
      Published 2012-05-01
      The purpose of this chapter is to provide a comprehensive treatment of likelihood inference for state space models. These are a class of time series models relating an observable time series to quantities called states, ...
      Open Access
      Working Paper
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    • Bayesian Forecasting for Financial Risk Management, Pre and Post the Global Financial Crisis 

      Gerlach, Richard; Chen, Cathy W.S.; Lin, Edward M.H.; Lee, Wcw
      Published 2011-03-01
      Value-at-Risk (VaR) forecasting via a computational Bayesian framework is considered. A range of parametric models are compared, including standard, threshold nonlinear and Markov switching GARCH specifications, plus ...
      Open Access
      Working Paper
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