Predicting Construction Cost Index Using the Autoregressive Fractionally Integrated Moving Average Model-Reference-Cited by-同舟云学术

Predicting Construction Cost Index Using the Autoregressive Fractionally Integrated Moving Average Model

Published:2018-03 Issue:2 Volume:34 Page:04017063
ISSN:0742-597X
Container-title:Journal of Management in Engineering
language:en
Short-container-title:J. Manage. Eng.

Author:

Moon Seonghyeon¹,Chi Seokho²,Kim Du Yon³

Affiliation:

1. Graduate Student, Dept. of Civil and Environmental Engineering, Seoul National Univ., 1 Gwanak-Ro, Gwanak-Gu, Seoul 08826, Korea.

2. Associate Professor, Dept. of Civil and Environment Engineering, Seoul National Univ., 1 Gwanak-Ro, Gwanak-Ku, Seoul 08826, Korea; Adjunct Professor, Institute of Construction and Environmental Engineering, 1 Gwanak-Ro, Gwanak-Ku, Seoul 08826, Korea.

3. Associate Professor, School of Construction Engineering, Kyungil Univ., Gyeongbuk 38428, Korea (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Subject

Management Science and Operations Research,Strategy and Management,General Engineering,Industrial relations

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29ME.1943-5479.0000571

Reference62 articles.

1. Macro-economic leading indicators of construction contract prices

2. Improvement in Forecasting Accuracy Using the Hybrid Model of ARFIMA and Feed Forward Neural Network

3. Time Series Analysis of ENR Construction Cost Index

4. Empirical tests for identifying leading indicators of ENR Construction Cost Index

5. Predicting BRICS stock returns using ARFIMA models

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