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Record W658014257 · doi:10.17016/feds.2014.02

The Insensitivity of Investment to Interest Rates: Evidence from a Survey of CFOs

2014· article· en· W658014257 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueFinance and Economics Discussion Series · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFinancial Reporting and Valuation Research
Canadian institutionsnot available
Fundersnot available
KeywordsInterest rateInvestment (military)EconomicsQuarter (Canadian coin)Monetary economicsCash flowInvestment decisionsEmpirical evidenceFinanceBehavioral economics

Abstract

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A fundamental tenet of investment theory and the traditional theory of monetary policy transmission is that investment expenditures by businesses are negatively affected by interest rates. Yet, a large body of empirical research offer mixed evidence, at best, for a substantial interest-rate effect on investment. In this paper, we examine the sensitivity of investment plans to interest rates using a set of special questions asked of CFOs in the Global Business Outlook Survey conducted in the third quarter of 2012. Among the more than 500 responses to the special questions, we find that most firms claim to be quite insensitive to decreases in interest rates, and only mildly more responsive to interest rate increases. Most CFOs cited ample cash or the low level of interest rates, as explanations for their own insensitivity. We also find that sensitivity to interest rate changes tends to be lower among firms that do not report being concerned about working capital management as well as those that do not expect to borrow over the coming year. Perhaps more surprisingly, we find that investment is also less interest sensitive among firms expecting greater revenue growth. These findings seem to be corroborated by a cursory meta-analysis of average hurdle rates drawn from firm-level surveys at different times over the past 30 years, which exhibit no apparent relation to market interest rates.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.136
Threshold uncertainty score0.469

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.110
GPT teacher head0.308
Teacher spread0.197 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it