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Nonfundamentalness or missing information ? Evidence from causal-noncausal VARs in macro-finance

Lison Christiaens, Julien Hambuckers, Alain Hecq

arXiv 30 Jul 2026 · Econometrics

arXiv:2607.28131 · PDF · Extracted main text

Abstract

This paper studies the presence of noncausal dynamics in standard macro-finance VAR models and asks whether they reflect genuine nonfundamentalness or omitted information available to economic agents but unobserved by the econometrician. To that end, we introduce a factor-filtering mixed causal-noncausal VARX approach designed to account for common macroeconomic information. We assess its performance in simulated settings, while showing also that the generalized covariance (GCov) estimator correctly recovers causal and noncausal dynamics when using several lags. Empirically, we revisit the well-known Stock-Watson monetary policy (S)VAR and show that the noncausal components detected in the baseline specification largely disappear once common factors are filtered out. Finally, we compare impulse responses from the filtered and original data to assess the transmission of monetary policy shocks and show that filtering further removes the price puzzle.

Citation extraction

41
references
93
in-text mentions
41
distinct cited
8
self-citations
10,216
main-text words

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Most heavily cited references

The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.

ReferenceIntensityMentionsSectionsMain text
1Stock, James H. and Watson, Mark W (2001) Vector Autoregressions1.000234100%
2McCracken, Michael W. and Ng, Serena (2021) FRED-QD: A Quarterly Database for Macroeconomic Research1.00083100%
3Gourieroux, Christian and Jasiak, Joann (2023) Generalized covariance estimator0.87452100%
4Giancaterini, Francesco and Hecq, Alain and Jasiak, Joann and Neyazi… (2025) Regularized Generalized Covariance (RGCov) Estimator self0.84333100%
5Paul Beaudry and Patrick Fève and Alain Guay and Franck Portier (2019) When is nonfundamentalness in SVARs a real problem?0.73732100%
6Gourieroux, Christian and Jasiak, Joann (2017) Noncausal vector autoregressive process: Representation, identification and semi-parametric estimation0.69351100%
7Cubadda, Gianluca and Giancaterini, Francesco and Hecq, Alain and Ja… (2024) Optimization of the Generalized Covariance Estimator in Noncausal Processes self0.64441100%
8Lanne, Markku and Saikkonen, Pentti (2013) Noncausal vector autoregression0.64441100%
9Mario Forni and Luca Gambetti (2014) Sufficient information in structural VARs0.64422100%
10Forni, Mario and Gambetti, Luca and Sala, Luca (2019) Structural VARs and noninvertible macroeconomic models0.64422100%

Showing the top 10 of 41 scored citations.