Two-Particle Quantum Interference in Corporate Payouts: A Longitudinal Case Study of Alphabet Inc. (2019-2024)
A longitudinal single-issuer case using Alphabet’s payout events to introduce and calibrate a two-particle interference interpretation of corporate payouts.
01 / Method
What the research does
The paper examines five payout dates from 2019–2024 using public company and market evidence as an initial calibration of the Quantum Interference Index.
02 / Limitations
What the evidence does not establish
The small single-issuer sample limits generalization; a broader cross-company programme is separate work. The framework is not quantum computing and is not investment advice.
03 / Institutional relevance
Why the research matters
Provides a transparent early-stage calibration case for examining how multiple payout mechanisms may interact in market interpretation.
04 / Full Paper
Read the complete paper
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© Little Black Journal LLP / Umran Nayani. All rights reserved. This paper is made available for reading and personal reference. No additional reuse licence is granted unless expressly stated.
05 / Citation & Provenance
Source record
- Suggested citation
- Umran Nayani. (2025). Two-Particle Quantum Interference in Corporate Payouts: A Longitudinal Case Study of Alphabet Inc. (2019-2024). SSRN Electronic Journal. https://doi.org/10.2139/ssrn.5818342
- SSRN record
- SSRN 5818342
- Publication status
- Working paper published on SSRN. It is not described here as peer reviewed.
- First-party provenance
- Prepared from the verified public source record and the company’s bounded research archive. A first-party copy of the full paper is preserved on this site, with the SSRN record retained as independent publication provenance.
- Rights
- © Little Black Journal LLP / Umran Nayani. All rights reserved. This paper is made available for reading and personal reference. No additional reuse licence is granted unless expressly stated.
07 / Application
From research to institutional work
The paper is evidence of completed research, not a claim that every method has been deployed in every environment. Explore the relevant capability routes for current scope and commercial boundaries.