Exploring Parallel Compound Real Options in MNCs International Transactions
Abstract
:1. Introduction
2. Key Literature Review
2.1. Comparing Synergy Valuation: Real Options vs. Discounted Free Cash Flow (DFCF) Methods
2.2. Real Options Reasoning and Valuation
2.3. Valuing Collaborative Synergies with Compound Parallel Real Options
2.4. Linking Sustainability in MNCs and Real Option Valuation
3. Methodological Approach
3.1. Real Options Valuation Framework
3.2. Embedding Environmental, Social, and Governance (ESG) Scores in Real Option Valuation
- Decompose VaR ESG into CVaR ESG for both the acquirer and the target using a bottom-up approach.
- Calibrate VaR ESG with an interaction factor (J) that varies based on the total ESG risk scores (e.g., Sustainalytics, 2025) of the acquirer and the target. These scores are used to adjust the covariance matrix to account for ESG factors.
- Identify the maximum contribution of risk appropriate for each partner’s market values.
- Adjust parameters required for the binomial model and BSOPM to reflect risks using VaR ESG, namely, the underlying asset value (So), acquisition value (K1), and hypothetical future market value of collaborative partners as separated entities working independently (K2).
- Using adjusted parameters of real options based on ESG factors, calculate the collaborative synergies of an M&A deal by employing parallel compound real options.
3.3. Empirical Application: Case Study—L’Oréal’s Acquisition of Aesop
4. Empirical Context: L’Oréal’s Acquisition of Aesop in 2023
5. Findings and Discussion
6. Conclusions, Limitations, and Future Works
6.1. Theoretical and Managerial Contributions
6.2. Practical and Social Implication for Policy Measures for Regulators, Companies or Investors
6.3. Limitations of Research and Future Work
7. Final Thoughts
Funding
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Parameters of Financial Options | The Parameters of Real Options and Data |
---|---|
Stock price (So) | The cumulated market values of L’Oréal and Aesop as separated entities (four-week average) before the announcement of the acquisition were as follows: L’Oréal’s market capitalization on 4 March 2023 was USD 216.83 bn, and on 1 April 2023 was USD 236.25 thus, the average market value of L’Oréal was USD 226.25 bn (CompaniesMarketcap.com, 2025). Vogue Business has disclosed a USD 2.525 bn price that L’Oréal would have paid to Aesop (Guilbault, 2023; BSIC, 2023). Therefore, the cumulated market values of L’Oréal and Aesop as separate entities (four-week average) before the announcement of the acquisition (So) was USD 228.78. |
The strike price (K1) | L’Oréal is acquiring the Australian brand Aesop in a deal valued at USD 2.53 billion, marking the largest brand acquisition ever made by the French beauty giant (Toh, 2023). Consequently, the investment in the growth option (the first independent option, (K1) amounted to USD 2.53 billion. |
The strike price (K2) | The hypothetical future market value of L’Oréal SA as a separate entity without the acquisition of Aesop was forecast by the EV/EBITDA multiple. L’Oréal’s twelve months of the 2022 year, ev/EBITDA multiple was 21.9×, (Finbox.com, 2025b). The L’Oréal 2022 annual EBITDA was USD $8.291 bn (Finbox.com, 2025a) thereby, the hypothetical future market value of L’Oréal without the acquisition of Aesop was USD 181.57 bn. Bloomberg Intelligence said the acquisition of Aesop could equate to over 4.2× sales and 20× EBITDA (Rozario, 2023). 2022-year Aesop’s sales were USD 537 M and EBITDA was BRL 536.7 M (Statista, 2025) or USD 106.7 M (USD 1 was BRL 5.03, Trading Economics, 2025a). The forecasted market values of Aesop, working independently from L’Oréal, were USD 2.26 bn using sales multiple and USD 2.13 bn using EBITDA multiple, and an average future value is USD 2.2 bn. Thereby, the sum of hypothetical future market values as separated entities working independently of both corporations (strike price) was USD 181.57 bn plus USD 2.2 bn, equaling USD 183.77 bn. |
Stock volatility (σ) of L’Oréal within the first week after the announcement of the acquisition of Aesop | L’Oréal’s historical volatilities within the first week after the announcement of the acquisition of Aesop on 11 April 2023 was 22.15% (V-Lab, 2025). |
Risk-free rate (r) | On 3 April 2023, France’s 10-year Government Bond Yield was 3.286 percent. The yield on France’s 10-year OAT (Obligations assimilables du Trésor) stood at around 3.3%, in line with its European peers. (Trading Economics, 2025b). |
Time to maturity (T) | One year following Dunis and Klein’s (2005) recommendations. |
Time increment (δt) | For a year, two-month time intervals were used to account for variations in the binominal lattice-based real options method’s up and down factors. |
Rainbow Real Options Parameters and Data | |
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Time increment: ΔT (years) | 0.17 |
Up factor: | 1.095 |
Down factor: | 0.914 |
Risk-neutral probability: | 0.508 |
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Čirjevskis, A. Exploring Parallel Compound Real Options in MNCs International Transactions. J. Risk Financial Manag. 2025, 18, 144. https://doi.org/10.3390/jrfm18030144
Čirjevskis A. Exploring Parallel Compound Real Options in MNCs International Transactions. Journal of Risk and Financial Management. 2025; 18(3):144. https://doi.org/10.3390/jrfm18030144
Chicago/Turabian StyleČirjevskis, Andrejs. 2025. "Exploring Parallel Compound Real Options in MNCs International Transactions" Journal of Risk and Financial Management 18, no. 3: 144. https://doi.org/10.3390/jrfm18030144
APA StyleČirjevskis, A. (2025). Exploring Parallel Compound Real Options in MNCs International Transactions. Journal of Risk and Financial Management, 18(3), 144. https://doi.org/10.3390/jrfm18030144