The Hidden Mistakes in Valuation: How to Detect and Fix Them?

Roberto Moro-Visconti ()
Additional contact information
Roberto Moro-Visconti: Catholic University of the Sacred Heart

Chapter 26 in Augmented Corporate Valuation, 2026, pp 1119-1152 from Springer

Abstract: Abstract This chapter offers a comprehensive framework for detecting, understanding, and correcting valuation errors across diverse contexts. It integrates foundational principles, finite-horizon valuation, and narrative discipline to help analysts maintain coherence between assumptions, risk, and business economics. Drawing on the taxonomy of common mistakes, narrative logic, and practical insights from real-world valuation practice, the chapter equips readers with tools to assess input quality, model consistency, and scenario robustness. Valuation emerges not as a mechanical computation but as a disciplined, human process grounded in judgment and economic realism. Most valuation mistakes come from using yesterday's tools on today's business models.

Keywords: Valuation errors; Narrative discipline; Finite-Horizon models; Input quality; Economic coherence; Diagnostic framework (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-032-17903-6_26

Ordering information: This item can be ordered from
http://www.springer.com/9783032179036

DOI: 10.1007/978-3-032-17903-6_26

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().