Detecting positive feedback in multivariate time series: The case of metal prices and US inflation

被引:28
|
作者
Kyrtsou, Catherine
Labys, Walter C.
机构
[1] Univ Macedonia, Dept Econ, Thessaloniki, Greece
[2] W Virginia Univ, Morgantown, WV 26506 USA
关键词
positive feedback; multivariate time series; noisy chaos; noisy Mackey-Glass process; economic time series;
D O I
10.1016/j.physa.2006.11.002
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
The objective of this paper is to examine causality and feedback relationships between primary commodity prices and US inflation. To this end, the bivariate noisy Mackey-Glass process recently developed by Kyrtsou and Labys [Evidence for chaotic dependence between US inflation and commodity prices, J. Macroecon. 28(1) (2006) 256-266] has been applied to assess this relationship. Results obtained support evidence in favour of causality, which can help to identify the influences of speculative price behaviour on inflation. (c) 2006 Elsevier B.V. All rights reserved.
引用
收藏
页码:227 / 229
页数:3
相关论文
共 50 条
  • [1] Detecting nonlinearity in multivariate time series
    Palus, M.
    Physics Letters. Section A: General, Atomic and Solid State Physics, 213 (3-4):
  • [2] Detecting nonlinearity in multivariate time series
    Palus, M
    PHYSICS LETTERS A, 1996, 213 (3-4) : 138 - 147
  • [3] Detecting Synchronization and Interrelations in Multivariate Time Series
    Parlitz, Ulrich
    Luther, Stefan
    2014 8TH CONFERENCE OF THE EUROPEAN STUDY GROUP ON CARDIOVASCULAR OSCILLATIONS (ESGCO), 2014, : 169 - +
  • [4] Inflation and Hospitality Industry Prices Time-Series Approach
    Gricar, Sergej
    Bojnec, Stefan
    EASTERN EUROPEAN ECONOMICS, 2013, 51 (03) : 91 - 108
  • [5] Modeling US historical time-series prices and inflation using alternative long-memory approaches
    Canarella, Giorgio
    Gil-Alana, Luis A.
    Gupta, Rangan
    Miller, Stephen M.
    EMPIRICAL ECONOMICS, 2020, 58 (04) : 1491 - 1511
  • [6] Modeling US historical time-series prices and inflation using alternative long-memory approaches
    Giorgio Canarella
    Luis A. Gil-Alana
    Rangan Gupta
    Stephen M. Miller
    Empirical Economics, 2020, 58 : 1491 - 1511
  • [7] Detecting outlier samples in multivariate time series dataset
    Weng, Xiaoqing
    Shen, Junyi
    KNOWLEDGE-BASED SYSTEMS, 2008, 21 (08) : 807 - 812
  • [9] Detecting multiple breaks in long memory the case of US inflation
    Hassler, Uwe
    Meller, Barbara
    EMPIRICAL ECONOMICS, 2014, 46 (02) : 653 - 680
  • [10] DRMAT: A multivariate algorithm for detecting breakpoints in multispectral time series
    Li, Yang
    Wulder, Michael A.
    Zhu, Zhe
    Verbesselt, Jan
    Masiliunas, Dainius
    Liu, Yanlan
    Bohrer, Gil
    Cai, Yongyang
    Zhou, Yuyu
    Ding, Zhaowei
    Zhao, Kaiguang
    REMOTE SENSING OF ENVIRONMENT, 2024, 315