Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/267908 
Erscheinungsjahr: 
2022
Schriftenreihe/Nr.: 
arqus Discussion Paper No. 276
Verlag: 
Arbeitskreis Quantitative Steuerlehre (arqus), Berlin
Zusammenfassung: 
We analyze the usefulness of accounting information on tax loss carryforwards and negative performance to predict earnings and cash flows. We use hand-collected information on tax loss carryforwards and the corresponding deferred taxes from the International Financial Reporting Standards tax footnotes for listed firms from Germany. Our out-of-sample tests show that considering accounting information on tax loss carryforwards does not enhance the accuracy of performance predictions and even worsens predictions. Besides, common forecasting approaches that deal with negative performance are prone to prediction errors. We provide a simple empirical specification to reduce forecast errors. We find evidence that more elaborate machine learning models (least absolute shrinkage and selection operator method) typically do not perform better or even worse than our simple specification in out-of-sample tests.
Schlagwörter: 
performance forecast
out-of-sample tests
deferred tax assets
tax loss carryforwards
JEL: 
M40
M41
C53
Dokumentart: 
Working Paper

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