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Asset managers and withholding tax : Problems, options and best practices for asset managers on withholding tax processing

Authors: Thomas König; Daniel Schneider; Manfred Artmeier;

Asset managers and withholding tax : Problems, options and best practices for asset managers on withholding tax processing

Abstract

This paper presents a detailed analysis of the critical role and complications surrounding withholding tax processing in the asset management industry. The paper first explores the substantial losses incurred by the industry due to a lack of proper attention and expertise in withholding tax matters, demonstrating the urgency of this issue. It then examines the current approach of relying predominantly on custodian banks for managing these issues, highlighting the shortcomings and risks inherent in this practice. The paper further investigates the current state of asset management companies, revealing their limited capabilities in managing withholding tax efficiently due to various factors including cost pressures, technological gaps and lack of awareness. To address these challenges, the paper proposes two primary options for asset managers: increased collaboration with tax advisers, and automation through software solutions. A detailed comparison is made on the pros and cons of these options. Collaborating with tax consultants, while beneficial in many ways, might fall short due to the complexity and volume of the withholding tax challenges. On the other hand, automation can provide significant benefits in terms of efficiency, accuracy, scalability, compliance and cost-effectiveness, although challenges related to implementation and integration exist. The paper concludes with a checklist of critical success factors for selecting, implementing and operating withholding tax processing software, providing practical guidance for asset management companies seeking to improve their handling of withholding tax matters. These findings underline the importance of a proactive approach and the necessity for asset managers to explore the potential of technology-based solutions in this crucial area.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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