Arbeitspapier

partialCI: An R package for the analysis of partially cointegrated time series

Partial cointegration is a weakening of cointegration, allowing for the residual series to contain a mean-reverting and a random walk component. Analytically, the residual series is described by a partially autoregressive process. The partialCI package provides estimation, testing, and simulation routines for PCI models in state space. We illustrate the functionality with two examples: A financial application in the context of pairs trading and a macroeconomic application, i.e., the relationship between GDP and consumption. For both examples, we show that the variables are not cointegated in the classic sense, but can be modeled with partial cointegration.

Language
Englisch

Bibliographic citation
Series: FAU Discussion Papers in Economics ; No. 05/2017

Classification
Wirtschaft
Subject
R software
cointegration
partial cointegration
pairs trading
permanent components
transient components

Event
Geistige Schöpfung
(who)
Clegg, Matthew
Krauss, Christopher
Rende, Jonas
Event
Veröffentlichung
(who)
Friedrich-Alexander-Universität Erlangen-Nürnberg, Institute for Economics
(where)
Nürnberg
(when)
2017

Handle
Last update
10.03.2025, 11:43 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Clegg, Matthew
  • Krauss, Christopher
  • Rende, Jonas
  • Friedrich-Alexander-Universität Erlangen-Nürnberg, Institute for Economics

Time of origin

  • 2017

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