Investment dynamics and forecast: Mind the frequency
Juha Kilponen and
Fabio Verona
Finance Research Letters, 2022, vol. 49, issue C
Abstract:
We analyze the in-sample fit and the out-of-sample forecast performance of the investment equation using different proxies for Tobin’s Q, controlling for cash flow, and using their frequency-decomposed components. We show that different frequencies of bond Q and cash flow significantly improve the empirical performance (both in-sample and out-of-sample) of the traditional investment equation. The key step is to filter out the noisy frequencies of the predictors and only retain those that have the greatest individual predictive power.
Keywords: Investment; Equity Q; Cash flow; Bond Q; Frequency domain; Out-of-sample forecast (search for similar items in EconPapers)
JEL-codes: C49 E22 G31 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1544612322003051
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:finlet:v:49:y:2022:i:c:s1544612322003051
DOI: 10.1016/j.frl.2022.103075
Access Statistics for this article
Finance Research Letters is currently edited by R. Gençay
More articles in Finance Research Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().