Abstract
A fundamental challenge in quantitative finance and organizational sciences is to quantify the time-lagged relationship between a company's internal organizational dynamics and its tangible outputs. This study introduces an analytical framework that models this relationship using a quantum-inspired holographic concept. Applying a multi-stage statistical pipeline to 10 years of public data from six firms, we tested time-series models representing innovation and collaboration. The analysis revealed this new framework functions as an effective analytical filter for out-of-sample data. The results indicate that per-company calibrated models—which synchronize objective output data with calibrated, conceptually paired proxy metrics (like R&D spend for innovation)—achieved statistically significant predictive power (p = 0.021) against financial productivity data, whereas traditional, single-variable models did not. The findings demonstrate this Holographic Evaluation System for Topologic Interrelational Analysis (HESTIA) framework is a robust method for developing and validating firm-specific models for profits and valuation. The process is analogous to an imaging technique, transforming noisy proxy signals from a latent signal domain into an interpretable map of a firm's unique operational rhythm. The resulting models visualize a firm's value-creation cycle with a statistically high likelihood of predicting future “productivity,” which in this study is defined as profit and share price.
Keywords
Get full access to this article
View all access options for this article.
References
Supplementary Material
Please find the following supplemental material available below.
For Open Access articles published under a Creative Commons License, all supplemental material carries the same license as the article it is associated with.
For non-Open Access articles published, all supplemental material carries a non-exclusive license, and permission requests for re-use of supplemental material or any part of supplemental material shall be sent directly to the copyright owner as specified in the copyright notice associated with the article.
