Modelling non-linear comovements between time series
The main objective of this paper is to employ a new dynamic model that combines the bivariate noisy Mackey–Glass recently proposed by Kyrtsou and Labys [Kyrtsou, C., Labys, W., 2006. Evi- dence for chaotic dependence between US inflation and commodity prices. Journal of Macroeco- nomics 28(1), 256–266; Kyrtsou, C., Labys, W., 2007. Detecting positive feedback in multivariate time series: the case of metal prices and US inflation. Physica A 377(1), 227–229.] and the BEKK Garch processes. An empirical exercise using the US effective Federal fund rates and 3-month T-Bill rates will show that for specific time periods the comovements between series are due to inherent non-linear deterministic dynamics.
To our knowledge, this item is not available for
download. To find whether it is available, there are three
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
|Date of creation:||01 Jan 2008|
|Contact details of provider:|| Postal: Durham University Business School, Mill Hill Lane, Durham DH1 3LB, England|
Phone: +44 (0)191 334 5200
Fax: +44 (0)191 334 5201
Web page: http://www.dur.ac.uk/business
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Kyrtsou, Catherine & Labys, Walter C., 2007. "Detecting positive feedback in multivariate time series: The case of metal prices and US inflation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 377(1), pages 227-229.
- Engle, Robert F. & Kroner, Kenneth F., 1995. "Multivariate Simultaneous Generalized ARCH," Econometric Theory, Cambridge University Press, vol. 11(01), pages 122-150, February.
- Jean-Luc Demeulemeester & Claude Diebolt, 2007.
"How much could economics gain from history: the contribution of cliometrics,"
Cliometrica, Journal of Historical Economics and Econometric History,
Association Française de Cliométrie (AFC), vol. 1(1), pages 7-17, April.
- Jean Luc De Meulemeester & Claude Diebolt, 2007. "How much could economics gain from history: the contribution of cliometrics," ULB Institutional Repository 2013/13500, ULB -- Universite Libre de Bruxelles.
- Sarno, Lucio & Thornton, Daniel L., 2003.
"The dynamic relationship between the federal funds rate and the Treasury bill rate: An empirical investigation,"
Journal of Banking & Finance,
Elsevier, vol. 27(6), pages 1079-1110, June.
- Sarno, Lucio & Thornton, Daniel L, 2002. "The Dynamic Relationship Between the Federal Funds rate and the Treasury Bill Rate: An Empirical Investigation," CEPR Discussion Papers 3225, C.E.P.R. Discussion Papers.
- Lucio Sarno & Daniel L. Thornton, 2002. "The dynamic relationship between the federal funds rate and the Treasury bill rate: an empirical investigation," Working Papers 2000-032, Federal Reserve Bank of St. Louis.
- Kyrtsou, Catherine & Labys, Walter C., 2006. "Evidence for chaotic dependence between US inflation and commodity prices," Journal of Macroeconomics, Elsevier, vol. 28(1), pages 256-266, March.
- Froyen, Richard T. & Waud, Roger N., 2002. "The determinants of Federal Reserve policy actions: A re-examination," Journal of Macroeconomics, Elsevier, vol. 24(3), pages 413-428, September.
- Bali, Turan G. & Wu, Liuren, 2006. "A comprehensive analysis of the short-term interest-rate dynamics," Journal of Banking & Finance, Elsevier, vol. 30(4), pages 1269-1290, April.
- Haug Alfred A & Siklos Pierre L, 2006. "The Behavior of Short-Term Interest Rates: International Evidence of Non-Linear Adjustment," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 10(4), pages 1-34, December.
- Bullard, James & Butler, Alison, 1993.
"Nonlinearity and Chaos in Economic Models: Implications for Policy Decisions,"
Royal Economic Society, vol. 103(419), pages 849-867, July.
- James B. Bullard & Alison Butler, 1992. "Nonlinearity and chaos in economic models: implications for policy decisions," Working Papers 1991-002, Federal Reserve Bank of St. Louis.
- Jess Benhabib & Stephanie Schmitt-Grohé & Martín Uribe, 2002. "Chaotic Interest-Rate Rules," American Economic Review, American Economic Association, vol. 92(2), pages 72-78, May.
- Jess Benhabib & Stephanie Schmitt-Grohe & Martin Uribe, 2001. "Chaotic Interest Rate Rules," Departmental Working Papers 200109, Rutgers University, Department of Economics.
- Benhabib, Jess & Schmitt-Grohe, Stephanie & Uribe, Martin, 2001. "Chaotic Interest Rate Rules," Computing in Economics and Finance 2001 259, Society for Computational Economics.
- Lucas, Robert E, Jr, 1975. "An Equilibrium Model of the Business Cycle," Journal of Political Economy, University of Chicago Press, vol. 83(6), pages 1113-1144, December.
- Kyrtsou, Catherine & Malliaris, Anastasios G., 2009. "The impact of information signals on market prices when agents have non-linear trading rules," Economic Modelling, Elsevier, vol. 26(1), pages 167-176, January.
- Paul Brockman & Mustafa Chowdhury, 1997. "Deterministic versus stochastic volatility: implications for option pricing models," Applied Financial Economics, Taylor & Francis Journals, vol. 7(5), pages 499-505. Full references (including those not matched with items on IDEAS)
When requesting a correction, please mention this item's handle: RePEc:dur:durham:2008_01. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (IT Office)
If references are entirely missing, you can add them using this form.