Valuation of a fintech invoice trading platform : the role of managerial flexibility

Abstract

PURPOSE: The study investigates how managerial flexibility affects the financial viability of a staged fintech venture operating an invoice-trading platform. It evaluates the extent to which contingent strategic decisions-continuation, expansion, sale or termination - enhance project value in environments characterised by technological, market, and regulatory uncertainty.

DESIGN/METHODOLOGY/APPROACH: A three-phase cash-flow model of a hypothetical invoicetrading platform is combined with Real Options Valuation (ROV) and the Financial Outcome of Managerial Flexibility (FOMF). The analysis integrates a multi-stage decision tree with 100,000-iteration Monte Carlo simulation, using Free Cash Flow to the Firm (FCFF) and a unified discount rate (WACC = 12%). The ROV quantifies the upper-bound value of flexibility through backward induction, while the FOMF captures the realised financial effect of path-dependent managerial decisions.

FINDINGS: Results demonstrate that flexibility materially improves economic performance. The baseline rigid project exhibits a highly unfavourable risk–return profile, with a strongly negative median NPV. Incorporating flexibility substantially increases value: the median ROV is €5.60 million, while the mean FOMF equals €3.32 million, with a 93.95% probability of non-negative realised value. Expansion to the Polish market is executed in most paths, whereas CEE expansion occurs only when operational thresholds are met. ROV produces stable, non-negative values, while FOMF displays wider dispersion, reflecting realistic decision-making under uncertainty.

PRACTICAL IMPLICATIONS: The findings show that deterministic valuation approaches underestimate the economic potential of fintech platforms exposed to volatile transaction volumes, evolving risk analytics, and multi-jurisdictional compliance demands. For operators and investors, incorporating real options into financial evaluation improves strategic planning, capital allocation, and risk management in early-stage digital finance ventures.

ORIGINALITY/VALUE: The study provides an integrated framework that links fintech platform architecture with real-options theory, offering one of the first applications of both ROV and FOMF to invoice-trading models. The dual-metric approach distinguishes between theoretical optimal value and realised managerial outcomes, generating actionable insights for fintech strategy, valuation, and regulatory-technology alignment.