Harm Schütt
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Research

Publications

Forecasting Earnings Using k-Nearest Neighbor Classification
with Peter Easton, Martin Kapons, Steven Monahan,and Eric Weisbrod (2023)
The Accounting Review
Link | SSRN

Technological Changes and Countries’ Tax Policy Design: Evidence from Anti–Tax Avoidance Rules
with Alissa Brühne and Martin Jacob (2023)
Management Science
Link | SSRN

What Can Bayesian Inference Do for Accounting Research?
Single authored (2023)
Journal of Financial Reporting
Link | SSRN | Code

Accounting for Uncertainty: An Application of Bayesian Methods to Accruals Models
with Matthias Breuer (2023)
Review of Accounting Studies, Vol 28, pp. 726–768.
Link | SSRN | Code

Firm Valuation and the Uncertainty of Future Tax Avoidance
with Martin Jacob (2020)
European Accounting Review, Vol 29(3), pp. 409-435.
Link | SSRN

Does Going Private Add Value through Operating Improvements?
with Brian Ayash (2016)
Journal of Corporate Finance, Vol 40, pp. 192-215.
Link | SSRN

Working Papers

Competition Between Social Media Analysts and Coverage Quality
with Jeroen Koenraadt (2024)
Working Paper
SSRN

Uncertain Earnings Betas
with Matthias Breuer and Atif Ellahie (2023)
Working Paper

Segmentation in the Financial News Market - Measurement and Application
Single authored (2020)
Working Paper
SSRN | Appendix

Code repositories

Example figure from paper

A Primer on Bayesian Inference for Accounting Research
Website + Replication code

A Bayesian model averaging pipeline for earnings management models
Replication code
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