Climate Risk, Financial Stability, and Global Capital Allocation: A Predictive Analytics Approach to Assessing Climate-Related Financial Risk in International Investment Markets

Climate change has moved from a peripheral environmental concern to a core driver of cross-border valuation, balance-sheet resilience, and capital allocation in international financial markets. This study develops a predictive analytics framework for assessing climate-related financial risk across international investment markets by integrating physical-risk exposure, transition-risk sensitivity, macro-financial fragility, and sustainable-finance depth in a panel design calibrated with public data. Rather than treating climate risk as a narrow ESG screen, the paper conceptualizes it as a multidimensional source of repricing pressure that can alter sovereign spreads, equity valuations, portfolio flows, funding costs, and the geographic distribution of global capital. It then proposes a transparent empirical architecture that combines gradient-boosted trees, regularized panel models, and scenario-conditioned classification to estimate the probability of climate-related stress episodes and capital reallocation across countries and sectors. Descriptive evidence from official sources shows three reinforcing trends: rapid growth in sustainable investing assets, increased climate-linked debt issuance, and persistent differences in climate resilience and adaptation readiness across jurisdictions. The discussion argues that predictive analytics can improve risk measurement only when embedded in disclosure, interoperable taxonomies, and financial-stability oversight. The paper contributes by linking climate risk pricing to international capital allocation rather than to firm-level ESG outcomes alone, and by outlining a scalable framework for investors, regulators, and multilateral institutions seeking to monitor systemic climate-financial vulnerabilities before they crystallize into disorderly market adjustments.