Lison Christiaens, Julien Hambuckers, Alain Hecq
arXiv 30 Jul 2026 · Econometrics
arXiv:2607.28131 · PDF · Extracted main text
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.
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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.
| Reference | Intensity | Mentions | Sections | Main text | |
|---|---|---|---|---|---|
| 1 | Stock, James H. and Watson, Mark W (2001) Vector Autoregressions | 1.000 | 23 | 4 | 100% |
| 2 | McCracken, Michael W. and Ng, Serena (2021) FRED-QD: A Quarterly Database for Macroeconomic Research | 1.000 | 8 | 3 | 100% |
| 3 | Gourieroux, Christian and Jasiak, Joann (2023) Generalized covariance estimator | 0.874 | 5 | 2 | 100% |
| 4 | Giancaterini, Francesco and Hecq, Alain and Jasiak, Joann and Neyazi… (2025) Regularized Generalized Covariance (RGCov) Estimator self | 0.843 | 3 | 3 | 100% |
| 5 | Paul Beaudry and Patrick Fève and Alain Guay and Franck Portier (2019) When is nonfundamentalness in SVARs a real problem? | 0.737 | 3 | 2 | 100% |
| 6 | Gourieroux, Christian and Jasiak, Joann (2017) Noncausal vector autoregressive process: Representation, identification and semi-parametric estimation | 0.693 | 5 | 1 | 100% |
| 7 | Cubadda, Gianluca and Giancaterini, Francesco and Hecq, Alain and Ja… (2024) Optimization of the Generalized Covariance Estimator in Noncausal Processes self | 0.644 | 4 | 1 | 100% |
| 8 | Lanne, Markku and Saikkonen, Pentti (2013) Noncausal vector autoregression | 0.644 | 4 | 1 | 100% |
| 9 | Mario Forni and Luca Gambetti (2014) Sufficient information in structural VARs | 0.644 | 2 | 2 | 100% |
| 10 | Forni, Mario and Gambetti, Luca and Sala, Luca (2019) Structural VARs and noninvertible macroeconomic models | 0.644 | 2 | 2 | 100% |
Showing the top 10 of 41 scored citations.