From Ledger to Algorithm: Conceptual Revolutions That Have Shaped Financial Analysis

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Abstract

This article explores the key conceptual revolutions that have transformed the field of financial analysis, from the invention of double-entry bookkeeping to the rise of artificial intelligence and algorithmic tools. Each development — such as the time value of money, portfolio theory, behavioral finance, and ESG reporting — has reshaped how investors, economists, and corporate managers interpret data and assess value. In particular, the advent of quantitative and algorithmic analysis has enabled real-time data processing, predictive modeling, and automated decision-making, fundamentally altering market dynamics. The article also introduces the Potential Payback Period (PPP), a recent valuation metric that integrates growth, interest rates, and risk. Together, these conceptual breakthroughs illustrate the continuous refinement of financial analysis in response to evolving economic, technological, and behavioral forces.

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