GAME THEORY APPLIED TO THE TRANSITION OF THE GLOBAL FINANCIAL SYSTEM AND WEALTH PRESERVATION THROUGH GOLD

GAME THEORY APPLIED TO THE TRANSITION OF THE GLOBAL FINANCIAL SYSTEM AND WEALTH PRESERVATION THROUGH GOLD Description This study develops a structural framework for applying Game Theory to wealth preservation under conditions of financial uncertainty, with particular attention to gold as a strategic reserve asset. The analysis does not treat gold as a guaranteed investment, nor does it assume that a global financial crisis will necessarily occur. Instead, the study formulates wealth allocation as a dynamic decision problem involving states, actors, strategies, interactions, information, transitions, corrections, and verification. The proposed framework begins with a defined patrimonial configuration of R$350,000 in available savings, a monthly net income of R$7,000 allocated to household expenses and therefore excluded from the investment capital, and annual transfers of R$50,000 from the existing savings over a four-year horizon. Under the modeled contribution structure, R$100,000 is initially allocated to gold, while R$250,000 remains in liquidity. The subsequent annual transfers are incorporated into the gold allocation according to the transition model. If the transfers occur exactly as specified and no investment return, interest, fees, taxes, or price variation are assumed, the total capital transferred to gold over four years is R$300,000, leaving R$50,000 of the initial capital outside the gold allocation. The financial environment is represented as a multi-actor system involving central banks, national treasuries, commercial banks, investment banks, asset managers, corporations, institutional investors, exchange-traded funds, futures markets, foreign-exchange markets, regulators, and private investors. Gold is therefore examined not as an isolated asset but as an element within a broader financial system. The study incorporates a dynamic formulation in which the state of the system may change over time. The operational sequence is expressed through the concepts of state, transformation, new state, error, information, correction, and stability. Within this structure, strategies can be generated, evaluated, modified, and verified as new information becomes available. The framework also considers the distinction between physical gold and exchange-traded instruments, the role of liquidity, concentration risk, central-bank demand, exchange-rate exposure, market volatility, and the possibility that gold itself may experience substantial price fluctuations. These elements are incorporated as variables affecting the state of the financial game rather than as assumptions of a predetermined outcome. A central proposition of the study is that wealth preservation can be formulated as a transition problem rather than as a binary decision between remaining entirely in liquidity and allocating the entire capital to gold. The resulting model therefore emphasizes staged exposure, retained liquidity, periodic reassessment, and correction according to observable changes in the financial environment. The study does not establish a prediction of future gold prices or of a future financial crisis. Its principal objective is methodological: to construct a reproducible framework in which alternative allocation strategies can be examined under different financial states and subsequently evaluated through mathematical and computational procedures. The proposed architecture can be extended beyond gold to other asset classes and portfolio structures. In this sense, the study provides a general framework for analyzing strategic wealth allocation as a dynamic system under uncertainty. Methodological Structure The model is organized around the following sequence: STATE → STRATEGY → INTERACTION → TRANSFORMATION → INFORMATION → CORRECTION → VERIFICATION → NEW STATE This structure permits the financial allocation problem to be treated as an iterative process rather than as a single irreversible decision. The principal analytical components are: identification of the initial patrimonial state; identification of relevant system actors; definition of alternative strategies; separation between liquidity and strategic reserve; staged capital transition; observation of market and institutional information; correction of the allocation according to predefined conditions; verification of the resulting state; comparison of alternative trajectories. The study also establishes the conceptual basis for subsequent computational experiments involving alternative allocation strategies, financial shocks, gold-price variation, exchange-rate variation, liquidity conditions, and different transition schedules. Main Contribution The principal contribution of the study is the formulation of a dynamic Game Theory architecture for wealth preservation, in which gold allocation is analyzed as one strategic component of a changing financial system. Rather than providing a single investment recommendation, the framework defines a method for representing and testing decisions under uncertainty. The model is consequently designed to distinguish between: hypothesis → mathematical construction → computational experiment → observed result → interpretation. This distinction is maintained throughout the analytical structure so that empirical observations are not presented as mathematical proof and theoretical propositions are not presented as established financial facts. Scope The study is interdisciplinary and connects Game Theory, financial-system analysis, dynamic systems, strategic allocation, mathematical modeling, and computational experimentation. Its scope is methodological and analytical. The numerical values associated with the initial patrimonial configuration constitute the parameters of the modeled case and should not be interpreted as universal portfolio recommendations. The framework is intended to support further quantitative testing and reproducible computational analysis of wealth-preservation strategies under changing financial conditions. Author: Cláudio Vicente da SilvaIndependent ResearcherLondrina, Paraná, BrazilDate: September 17, 2026