Navigating Risks in Forecasting

This chapter explores the complexities of binary forecasting within fat-tailed distributions and the challenges of translating growth rates into practical outcomes. It contrasts super forecasting with extreme value theory, emphasizing the critical nature of understanding probability in financial contexts. The discussion also addresses the necessity of nuanced risk analysis, cautioning against over-reliance on traditional metrics in the face of systemic risks.