Research question
Can language influence a debt contract after it is signed?
Private debt is flexible: lenders and borrowers can renegotiate terms when circumstances change. The paper examines whether future time reference (FTR) - the grammatical marking of future time - influences both the likelihood of renegotiation and the number of renegotiation rounds.
Stronger future time reference is associated with less frequent private debt renegotiation.
Loans linked to stronger-FTR language environments are less likely to be renegotiated.
When the process is measured dynamically, they also have fewer renegotiation rounds.
The result is assessed for borrower language, lead-lender language, and domestic loans.
Interpretation
Language enters through the way future contingencies are perceived.
The paper draws on two related ideas: stronger FTR can make the future feel more distant, while also changing the perceived precision of future timing. Both bear on the expected value and risk of renegotiation.
Future time reference
Some languages require a dedicated grammatical marking of future events; others do not.
Future outcomes and renegotiation risk
Future orientation and timing precision shape how parties assess the gains, costs, and uncertainty of renegotiation.
Renegotiation behaviour
The outcome is observed as the decision to renegotiate and the number of subsequent rounds.
Empirical design
Contract-level evidence across European borrowers.
The study combines Bloomberg data on loan agreements and amendments with a linguistic classification of borrower and lender countries, plus loan, syndicate, borrower, and country controls measured at origination.
Loans
Corporate loans to European, non-financial and non-government borrowers, with amendments linked to originating agreements.
Two outcomes
A binary renegotiation indicator and the number of renegotiation rounds, which captures an iterative process.
Language measures
Strong and very strong FTR classifications, evaluated for borrower and lead-lender country language.
Controls and tests
Loan terms, syndicate structure, firm characteristics, country variables, alternative specifications, and clustering choices.
Main evidence
Less renegotiation under stronger FTR.
Across the paper's core specifications, stronger FTR has a negative relationship with both dimensions of the renegotiation process.
Renegotiation likelihood
The reported marginal effect for a strong-FTR borrower language is a 3.48% lower likelihood of renegotiation in the main analysis.
Very strong FTR
The corresponding reported marginal effect for very strong FTR is a 4.01% lower likelihood of renegotiation.
Reported effects are presented as findings from the paper, not as causal estimates beyond the study's empirical design. See Table 5 and the marginal effects reported in Table A3 of the article.
Robustness
The pattern survives several alternative lenses.
The analysis checks whether the result depends on how language is assigned, the composition of controls, loan characteristics, country conditions, time periods, or econometric choices.
Who speaks?
Borrower FTR is the primary focus; lead-lender FTR and domestic-loan specifications provide complementary tests.
What could mitigate it?
Tests consider maturity, loan type and purpose, language knowledge, long-term orientation, economic policy uncertainty, and crises.
How stable is it?
The paper reports alternative FTR proxies, model specifications, and clustering approaches alongside its baseline analysis.
Read the article
Open-access article
The paper is available under the Creative Commons Attribution-NonCommercial-NoDerivs License. The embedded copy is provided for reading; the DOI remains the canonical citation and publisher link.