IDEAS home Printed from https://ideas.repec.org/a/ibn/ibrjnl/v16y2023i12p51.html
   My bibliography  Save this article

The Multiple-Scenario Valuation Method: When Robust Strategy Meets Valuation Needs

Author

Listed:
  • Andrea Beretta Zanoni
  • Silvia Vernizzi

Abstract

In the presence of great uncertainty and volatility, the valuation of single assets or enterprises can be extremely complicated. Over the last few years, the European Securities and Market Authority (ESMA) has analyzed the potential impacts of these uncertainties on the application of the Impairment of Assets (IAS 36) accounting standards and exhorted firms adopting the IAS/IFRS accounting standards to consider multiple scenarios in forecasting information. This study, adopting a theoretical and conceptual perspective, aimed to analyze the theoretical and practical implications of the shift from single-path to multiple-scenario analysis. This paper contributes to the literature in the following ways- first, it suggests a new perspective of analysis that combines valuation needs with a strategic approach (a robust strategy). Second, it contributes to clarifying the antecedents and consequences of the ESMA recommendations. Furthermore, the paper also has practical implications as it highlights some critical issues associated with every valuation process, including the need to cope with growing uncertainty, the necessity of clarifying the great misunderstanding related to the confusion between the multiple-scenario valuation method and sensitivity analysis, and, last but not least, the importance of the relationship between strategy and the valuation process.

Suggested Citation

  • Andrea Beretta Zanoni & Silvia Vernizzi, 2023. "The Multiple-Scenario Valuation Method: When Robust Strategy Meets Valuation Needs," International Business Research, Canadian Center of Science and Education, vol. 16(12), pages 1-51, December.
  • Handle: RePEc:ibn:ibrjnl:v:16:y:2023:i:12:p:51
    as

    Download full text from publisher

    File URL: https://ccsenet.org/journal/index.php/ibr/article/download/0/0/49545/53520
    Download Restriction: no

    File URL: https://ccsenet.org/journal/index.php/ibr/article/view/0/49545
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Panula-Ontto, J. & Piirainen, K.A., 2018. "EXIT: An alternative approach for structural cross-impact modeling and analysis," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 89-100.
    2. Andreas Tsanakas & Pietro Millossovich, 2016. "Sensitivity Analysis Using Risk Measures," Risk Analysis, John Wiley & Sons, vol. 36(1), pages 30-48, January.
    3. Nick French & Laura Gabrielli, 2005. "Discounted cash flow: accounting for uncertainty," Journal of Property Investment & Finance, Emerald Group Publishing Limited, vol. 23(1), pages 75-89, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Makam, Vaishno Devi & Millossovich, Pietro & Tsanakas, Andreas, 2021. "Sensitivity analysis with χ2-divergences," Insurance: Mathematics and Economics, Elsevier, vol. 100(C), pages 372-383.
    2. Tobias Fissler & Silvana M. Pesenti, 2022. "Sensitivity Measures Based on Scoring Functions," Papers 2203.00460, arXiv.org, revised Jul 2022.
    3. Pesenti, Silvana M. & Tsanakas, Andreas & Millossovich, Pietro, 2018. "Euler allocations in the presence of non-linear reinsurance: Comment on Major (2018)," Insurance: Mathematics and Economics, Elsevier, vol. 83(C), pages 29-31.
    4. Silvana M. Pesenti & Pietro Millossovich & Andreas Tsanakas, 2023. "Differential Sensitivity in Discontinuous Models," Papers 2310.06151, arXiv.org.
    5. da Costa, B. Freitas Paulo & Pesenti, Silvana M. & Targino, Rodrigo S., 2023. "Risk budgeting portfolios from simulations," European Journal of Operational Research, Elsevier, vol. 311(3), pages 1040-1056.
    6. Bernardo Freitas Paulo da Costa & Silvana M. Pesenti & Rodrigo S. Targino, 2023. "Risk Budgeting Portfolios from Simulations," Papers 2302.01196, arXiv.org.
    7. Jodlbauer, Herbert & Tripathi, Shailesh & Brunner, Manuel & Bachmann, Nadine, 2022. "Stability of cross impact matrices," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    8. Pesenti, Silvana M. & Millossovich, Pietro & Tsanakas, Andreas, 2019. "Reverse sensitivity testing: What does it take to break the model?," European Journal of Operational Research, Elsevier, vol. 274(2), pages 654-670.
    9. Giulio Bottazzi & Francesco Cordoni & Giulia Livieri & Stefano Marmi, 2023. "Uncertainty in firm valuation and a cross-sectional misvaluation measure," Annals of Finance, Springer, vol. 19(1), pages 63-93, March.
    10. Panula-Ontto, Juha, 2019. "The AXIOM approach for probabilistic and causal modeling with expert elicited inputs," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 292-308.
    11. Borgonovo, Emanuele & Rabitti, Giovanni, 2023. "Screening: From tornado diagrams to effective dimensions," European Journal of Operational Research, Elsevier, vol. 304(3), pages 1200-1211.
    12. Roland Broll & Gerald Blumberg & Christoph Weber, "undated". "Thesenpapier: Constructing Consistent Energy Scenarios using Cross Impact Matrices," EWL Working Papers 2005, University of Duisburg-Essen, Chair for Management Science and Energy Economics.
    13. Laura Gabrielli & Aurora Greta Ruggeri & Massimiliano Scarpa, 2023. "Roadmap to a Sustainable Energy System: Is Uncertainty a Major Barrier to Investments for Building Energy Retrofit Projects in Wide City Compartments?," Energies, MDPI, vol. 16(11), pages 1-21, May.
    14. Silvana M. Pesenti, 2021. "Reverse Sensitivity Analysis for Risk Modelling," Papers 2107.01065, arXiv.org, revised May 2022.
    15. Isadora Antoniano‐Villalobos & Emanuele Borgonovo & Sumeda Siriwardena, 2018. "Which Parameters Are Important? Differential Importance Under Uncertainty," Risk Analysis, John Wiley & Sons, vol. 38(11), pages 2459-2477, November.
    16. Mei Choi Chiu & Chi Seng Pun & Hoi Ying Wong, 2017. "Big Data Challenges of High‐Dimensional Continuous‐Time Mean‐Variance Portfolio Selection and a Remedy," Risk Analysis, John Wiley & Sons, vol. 37(8), pages 1532-1549, August.
    17. Bootz, Jean-Philippe & Michel, Sophie & Pallud, Jessie & Monti, Régine, 2022. "Possible changes of Industry 4.0 in 2030 in the face of uberization: Results of a participatory and systemic foresight study," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    18. Fissler, Tobias & Pesenti, Silvana M., 2023. "Sensitivity measures based on scoring functions," European Journal of Operational Research, Elsevier, vol. 307(3), pages 1408-1423.
    19. Elmar Plischke & Emanuele Borgonovo, 2020. "Fighting the Curse of Sparsity: Probabilistic Sensitivity Measures From Cumulative Distribution Functions," Risk Analysis, John Wiley & Sons, vol. 40(12), pages 2639-2660, December.
    20. Akif Ince & Ilaria Peri & Silvana Pesenti, 2021. "Risk contributions of lambda quantiles," Papers 2106.14824, arXiv.org, revised Nov 2022.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ibn:ibrjnl:v:16:y:2023:i:12:p:51. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.