Research companion · International Review of Financial Analysis

Tales that Cost

How ancestral folklore about risk and failure helps explain the pricing of modern syndicated loans.

1,671syndicated loans
316lead banks
1,192borrower firms
33folklore groups
1999-2017European sample

Can inherited stories about risk shape the price of credit?

The paper links European syndicated loan contracts to measures of risk-related folklore in the cultural background of lead lenders. The central hypothesis is that cultural narratives may enter credit pricing as soft information, especially when stories emphasize failure after challenge or competition.

What is being explained?

Loan spreads over floating-rate benchmarks, measured at the loan level and modeled with detailed loan, borrower, lender, regional, country, industry, and year controls.

Number of loans and firms by year

Sample timing. Source: authors' descriptive figure from the project files.

Folklore is converted into measurable cultural exposure.

The empirical design uses the cross-cultural folklore measures of Michalopoulos and Xue (2021), based on Berezkin's catalogue of oral traditions. A motif is a recurrent narrative element: a plot, character, symbolic image, or episode shared across traditions.

Traditional stories

Oral traditions collected across cultural societies.

Motifs

Recurring narrative elements become the unit of analysis.

Challenge

Motifs related to challenge, competition, or risky action are identified.

Outcome

Challenge motifs are classified as successful, unsuccessful, unclear, or not applicable.

Berezkin group

Motif shares are aggregated at the folklore group level.

Lead lender

The lead bank's headquarters location is linked to the nearest folklore group.

Challenge stories vary substantially across cultural groups.

The key explanatory variables are not country dummies in disguise. They vary at the folklore-group level, often below the country level, and distinguish the prevalence and outcome of challenge-related motifs.

Map of folklore groups in Europe

Berezkin folklore groups represented in the European lending sample.

Challenge motif components by folklore group

Challenge motifs decomposed by outcome type: successful, unsuccessful, unclear, and N/A. This is the paper's main visual bridge between folklore measurement and the empirical variables.

The pricing result is driven by cautionary challenge stories.

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Challenge motifs

Lead-lender folklore with more challenge-related motifs is associated with higher loan spreads in richer specifications.

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Unsuccessful outcomes

Failure in challenge narratives carries the pricing effect more clearly than the overall challenge measure.

0

Successful outcomes

Stories where risk-taking succeeds do not show the same spread-increasing effect.

+22.86 bps

Economic magnitude

One standard-deviation increase in relatively unsuccessful motifs corresponds to about 10.5% of the mean spread.

Binned relationship between loan spread and challenge-related folklore

Binned relationship between loan spread and challenge-related folklore. Kept because it is directly aligned with the final paper's spread outcome.

Loan spread by folklore group

Descriptive spread levels by lead-lender folklore group. This is supplementary context, not a substitute for the regression evidence.

The result is checked against alternative explanations.

The paper tests whether the folklore result survives richer cultural, geographic, and econometric controls. The aim is to separate the folklore channel from broader country culture and regional development differences.

Alternative culture

Controls include Hofstede dimensions, religion, trust, and corruption measures. The main folklore variables remain economically meaningful.

Instrumental variables

The IV strategy uses neighboring folklore within a 225 km radius to capture cultural diffusion while limiting direct current-credit channels.

Fixed effects

Additional fixed effects absorb time, industry, borrower-country, and lender-country variation across specifications.

Heterogeneity

Effects are stronger among stronger banks and stronger firms, consistent with folklore complementing, not replacing, hard information.

Read the paper from the companion page.

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Paper, citation, and reuse note.

This page is a companion to the published article. Numerical claims are drawn from the paper and project figures; readers should cite the article for formal methods and results.

Article: Godlewski, C. and Weill, L. (2026). Tales that cost: Folklore and bank loan spreads. International Review of Financial Analysis, 111, 105100.

DOI: 10.1016/j.irfa.2026.105100

@article{GodlewskiWeill2026TalesThatCost, title = {Tales that cost: Folklore and bank loan spreads}, author = {Godlewski, Christophe and Weill, Laurent}, journal = {International Review of Financial Analysis}, volume = {111}, pages = {105100}, year = {2026}, doi = {10.1016/j.irfa.2026.105100} }