Direct multi-step estimation and forecasting

被引:91
|
作者
Chevillon, Guillaume [1 ]
机构
[1] ESSEC, Paris, France
[2] Univ Oxford, Oxford OX1 2JD, England
关键词
multi-step forecasting; adaptive estimation; varying horizon; structural breaks; non-stationarity;
D O I
10.1111/j.1467-6419.2007.00518.x
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper surveys the literature on multi-step forecasting when the model or the estimation method focuses directly on the link between the forecast origin and the horizon of interest. Among diverse contributions, we show how the current consensual concepts have emerged. We present an exhaustive overview of the existing results, including a conclusive review of the circumstances favourable to direct multi-step forecasting, namely different forms of non-stationarity and appropriate model design. We also provide a unifying framework which allows us to analyse the sources of forecast errors and hence of accuracy improvements from direct over iterated multi-step forecasting.
引用
收藏
页码:746 / 785
页数:40
相关论文
共 50 条
  • [1] Multi-step estimation for forecasting
    Clements, MP
    Hendry, DF
    [J]. OXFORD BULLETIN OF ECONOMICS AND STATISTICS, 1996, 58 (04) : 657 - +
  • [2] Non-parametric direct multi-step estimation for forecasting economic processes
    Chevillon, G
    Hendry, DF
    [J]. INTERNATIONAL JOURNAL OF FORECASTING, 2005, 21 (02) : 201 - 218
  • [3] A hybrid recursive direct system for multi-step mortality rate forecasting
    Duarte, Filipe Coelho de Lima
    Neto, Paulo S. G. de Mattos
    Firmino, Paulo Renato Alves
    [J]. JOURNAL OF SUPERCOMPUTING, 2024, 80 (13): : 18430 - 18463
  • [4] A TEST FOR IMPROVED MULTI-STEP FORECASTING
    Haywood, John
    Wilson, Granville Tunnicliffe
    [J]. JOURNAL OF TIME SERIES ANALYSIS, 2009, 30 (06) : 682 - 707
  • [5] Multi-step forecasting in the presence of breaks
    Hannikainen, Jari
    [J]. JOURNAL OF FORECASTING, 2018, 37 (01) : 102 - 118
  • [6] Multi-Step Forecasting for Household Power Consumption
    Zheng, Yuanzhang
    Xu, Zhen
    Liao, Wei
    Lin, Binbin
    Chen, Jing
    [J]. IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 2023, 18 (08) : 1255 - 1263
  • [7] A multi-step forecasting method of time series
    Zhou, JB
    Wang, YK
    Yang, GY
    Zhao, YL
    [J]. 13TH CONFERENCE ON PROBABILITY AND STATISTICS IN THE ATMOSPHERIC SCIENCES, 1996, : 361 - 362
  • [8] On multi-step estimation of delay for SDE
    Kutoyants, Yury A.
    [J]. BERNOULLI, 2021, 27 (03) : 2069 - 2090
  • [9] Multi-step Forecasting via Multi-task Learning
    Jawed, Shayan
    Rashed, Ahmed
    Schmidt-Thieme, Lars
    [J]. 2019 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2019, : 790 - 799
  • [10] Multi-step forecasting for long-memory processes
    Brodsky, J
    Hurvich, CM
    [J]. JOURNAL OF FORECASTING, 1999, 18 (01) : 59 - 75