Report NEP-ORE-2016-08-28

This is the archive for NEP-ORE, a report on new working papers in the area of Operations Research. Walter Frisch issued this report. It is usually issued weekly.

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Other reports in NEP-ORE

The following items were announced in this report:

• Pierre Perron & Mototsugu Shintani & Tomoyoshi Yabu, 2015. "Testing for Flexible Nonlinear Trends with an Integrated or Stationary Noise Component," Boston University - Department of Economics - Working Papers Series wp2015-018, Boston University - Department of Economics, revised Nov 2015.
• Jiawen Xu & Pierre Perron, 2015. "Forecasting in the presence of in and out of sample breaks," Boston University - Department of Economics - Working Papers Series wp2015-012, Boston University - Department of Economics.
• Barnett, William & Aghababa, Hajar, 2016. "Dynamic Structure of the Spot Price of Crude Oil: Does Time Aggregation Matter?," MPRA Paper 73240, University Library of Munich, Germany.
• Luis Filipe Martins & Pierre Perron, 2015. "Improved Tests for Forecast Comparisons in the Presence of Instabilities," Boston University - Department of Economics - Working Papers Series wp2015-014, Boston University - Department of Economics.
• Luis Alberiko & OlaOluwa S. Yaya & Olarenwaju I. Shittu, 2015. "Fractional integration and asymmetric volatility in european, asian and american bull and bear markets. Applications to high frequency stock data," NCID Working Papers 07/2015, Navarra Center for International Development, University of Navarra.
• Johansson, Per-Olov, 2016. "Tradable Permits in Cost–Benefit Analysis. A Numerical Illustration," CERE Working Papers 2016:14, CERE - the Center for Environmental and Resource Economics.
• Kardaras, Constantinos & Robertson, Scott, 2017. "Continuous-time perpetuities and time reversal of diffusions," LSE Research Online Documents on Economics 67495, London School of Economics and Political Science, LSE Library.
• Rasmus T. Varneskov & Pierre Perron, 2015. "Combining Long Memory and Level Shifts in Modeling and Forecasting the Volatility of Asset Returns," Boston University - Department of Economics - Working Papers Series wp2015-015, Boston University - Department of Economics.
• Pierre Perron & Gabriel Rodríguez, "undated". "Residuals-based Tests for Cointegration with GLS Detrended Data," Boston University - Department of Economics - Working Papers Series wp2015-017, Boston University - Department of Economics, revised 19 Oct 2015.
• Francis X. Diebold & Minchul Shin, 2016. "Assessing Point Forecast Accuracy by Stochastic Error Distance," NBER Working Papers 22516, National Bureau of Economic Research, Inc.