Marmol, Francesc Spurious regressions between \(I(d)\) processes. (English) Zbl 0819.62075 J. Time Ser. Anal. 16, No. 3, 313-321 (1995). Summary: This paper develops an analytical study for the nonsense or spurious regressions that are generated by quite general integrated (of order \(d\)) random processes. In doing this, we generalize the work of P. C. B. Phillips [J. Econ. 33, 311-340 (1986; Zbl 0602.62098)] who provided an analytical study of linear regressions involving only I(1) stochastic processes. Our generalization of Phillips’ work to the \(\text{I} (d)\) case is made employing fractional differencing techniques. Cited in 12 Documents MSC: 62M10 Time series, auto-correlation, regression, etc. in statistics (GARCH) Keywords:weak convergence; I(d) processes; spurious regressions; fractional differencing Citations:Zbl 0602.62098 PDF BibTeX XML Cite \textit{F. Marmol}, J. Time Ser. Anal. 16, No. 3, 313--321 (1995; Zbl 0819.62075) Full Text: DOI References: [1] Billingsley, Convergence of Probability Measures. (1968) · Zbl 0172.21201 [2] Engle, Cointegration and error-correction:representation, estimation and testing, Econometrica 35 pp 251– (1987) · Zbl 0613.62140 [3] Gourieroux , C. Maurel , F. Monfort , A. 1987 Regression and non stationarity. ENSAE, Discussion Paper 8708, Institut National de la Statistique et des Etudes Economiques [4] Herrndorf, A functional central limit theorem for weakly dependent sequences of random variables., Ann. Prob. 12 (1) pp 141– (1984) · Zbl 0536.60030 [5] Marmol, Spurious regressions in econometrics for I(d) stochastic processes. Working Paper 237.94 (1994) [6] McLeish, Invariance pinciples for dependent variables, Z. Wahrsch. Verw. Gebiete 32 pp 165– (1975) · Zbl 0288.60034 [7] Phillips, Understanding spurious regressions in econometrics, J. Econ. 33 pp 311– (1986) · Zbl 0602.62098 [8] Phillips, Asymptotic properties of residual based tests for cointegration, Econometrica 58 pp 165– (1990) · Zbl 0733.62100 This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. It attempts to reflect the references listed in the original paper as accurately as possible without claiming the completeness or perfect precision of the matching.