{ "item_title" : "Bayesian Decision Making for Traders & CFOs", "item_author" : [" Vincent Bisette", "James Preston", "Alice Schwartz "], "item_description" : "Reactive PublishingBayesian Decision Making for Traders & CFOs delivers a practical, code-first framework for applying Bayesian inference to real-world financial problems. You'll move beyond basic probability to build and deploy hierarchical models that capture complex market dynamics, investor behavior, and organizational risk.What You'll Discover Inside:How to apply Bayesian thinking to trading strategies, portfolio construction, and risk managementBuilding hierarchical models that account for varying market regimes and individual heterogeneityReal-world applications in volatility forecasting, credit risk, option pricing, and capital allocationFull Python implementations using Stan (CmdStanPy) for efficient Bayesian computationTechniques for model checking, posterior predictive checks, and decision analysis under uncertaintyPractical workflows for integrating Bayesian outputs into trading systems and executive dashboardsWritten for quantitative traders, risk managers, and forward-thinking CFOs, this book bridges theory and practice with clear explanations, complete code examples, and reproducible case studies. Whether you're refining high-frequency signals or making multi-million-dollar capital decisions, you'll gain the probabilistic tools needed to navigate uncertainty with confidence.Perfect for practitioners who want to move past black-box models and develop transparent, adaptable decision frameworks.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/9/79/818/464/9798184645643_b.jpg", "price_data" : { "retail_price" : "34.99", "online_price" : "34.99", "our_price" : "34.99", "club_price" : "34.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

Overview

Customers Also Bought

Details