Abstract

This paper investigates how multinational banks use internal debt to shift profits to low-taxed affiliates. Using regulatory data on multinational banks headquartered in Germany, we show that banks use this tax avoidance channel more aggressively than non-financial multinationals do. We find that a ten percentage points higher corporate tax rate increases the internal net debt ratio by 5.7 percentage points, corresponding to a 20% increase at the mean. Our study also takes into account the existence of conduit entities, which simply pass through financial flows. If conduit entities are systematically located in low-tax countries, previous studies may have underestimated the extent of debt shifting.

Highlights

  • In the last years, the Organisation for Economic Co-operation and Development (OECD) and G20 have started an unprecedented initiative against Base Erosion and Profit Shifting (BEPS)

  • Using panel regressions with and without affiliate fixed effects, we find that a ten percentage points higher corporate tax rate increases the internal debt-to-assets ratio by about 5.1 percentage points

  • We find that a ten percentage points higher corporate tax rate increases the internal net-debt-to-assets ratio by 5.7 percentage points, which corresponds to an increase of 20% at the mean

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Summary

Introduction

The Organisation for Economic Co-operation and Development (OECD) and G20 have started an unprecedented initiative against Base Erosion and Profit Shifting (BEPS). To our paper, Overesch and Wamser (2014) use bilateral internal debt data; they find significantly positive effects of the bilateral tax rate differential, the most precise measure for debt shifting incentives. We contribute to this literature in two ways: As a first contribution, we point out the importance of modelling conduit entities, showing that the dependent variable should be net (and not gross) internal debt.

Institutional background
The role of conduit entities
Empirical specification
Baseline model
Accounting for conduit entities
Bilateral regressions
Data and descriptives
Descriptive analysis
Results
Conclusion
Full Text
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