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The spontaneous symmetry breaking phenomena applied to Quantum Finance considers that the martingale state in the stock market corresponds to a ground (vacuum) state if we express the financial equations in the Hamiltonian form. The original analysis for this phenomena completely ignores the kinetic terms in the neighborhood of the minimal of the potential terms. This is correct in most of the cases. However, when we deal with the martingale condition, it comes out that the kinetic terms can also behave as potential terms and then reproduce a shift on the effective location of the vacuum (martingale). In this paper, we analyze the effective symmetry breaking patterns and the connected vacuum degeneracy for these special circumstances. Within the same scenario, we analyze the connection between the flow of information and the multiplicity of martingale states, providing in this way powerful tools for analyzing the dynamic of the stock markets.
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Chevron Corporation (CVX) is one of the world’s largest energy companies, which operates across the entire Oil and Gas industry, including exploration and production as an Upstream operation and refining and marketing as a Downstream operation. Chevron has a strong presence worldwide, with operations in North America, South America, Africa, Asia, and Europe, which includes more than 180 countries, where the US, in terms of production, represents 39.4% of the net oil-equivalent production in 2022. Its global presence, sustained by its competitive advantages, is challenged by its worldwide competitors, industry factors, and the economic environment. It is essential to understand the impact of such changes on the industry and the Company to accurately assess the intrinsic value of Chevron and its future positioning. To provide investors with helpful information, comparing the intrinsic value resulting from three valuation models with the Company's market share price as of December 31st, 2022, is essential
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- conservation of the information (1)
- degenerate vacuum (1)
- flow of information (1)
- forecast (1)
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- martingale condition (1)
- random fluctuations (1)
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- University of Saint Joseph (2)
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