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Paperback. Condizione: new. Paperback. Reactive PublishingMaster Probability & Statistics for Smarter Financial Decision-MakingIn the world of finance, trading, and risk management, understanding probability and statistics is essential. Whether you're analyzing market trends, pricing options, or optimizing portfolios, quantitative finance relies on a strong foundation in statistical methods.This comprehensive guide bridges the gap between theory and application, helping you develop the skills needed to succeed in financial markets.What You'll Learn: Core Probability Concepts - Random variables, expected value, and probability distributions (Normal, Lognormal, Poisson)Statistical Methods for Finance - Hypothesis testing, regression analysis, and Bayesian inferenceRisk Management & Portfolio Optimization - Value at Risk (VaR), Monte Carlo simulations, and correlation analysisMachine Learning in Finance - Predictive analytics, time series forecasting, and statistical arbitragePractical Python Applications - Code examples for data analysis, risk modeling, and backtesting strategiesWho This Book is For: Traders & Investors - Improve your trading strategies with statistical insightsFinancial Analysts & Risk Managers - Master probability-based risk assessmentStudents & Quantitative Finance Professionals - Strengthen your mathematical foundation for real-world applicationsWith clear explanations, real-world case studies, and Python implementations, this book is designed to turn complex math into actionable financial insights.Take your finance skills to the next level-get your copy today! This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. Reactive PublishingMaster Probability & Statistics for Smarter Financial Decision-MakingIn the world of finance, trading, and risk management, understanding probability and statistics is essential. Whether you're analyzing market trends, pricing options, or optimizing portfolios, quantitative finance relies on a strong foundation in statistical methods.This comprehensive guide bridges the gap between theory and application, helping you develop the skills needed to succeed in financial markets.What You'll Learn: Core Probability Concepts - Random variables, expected value, and probability distributions (Normal, Lognormal, Poisson)Statistical Methods for Finance - Hypothesis testing, regression analysis, and Bayesian inferenceRisk Management & Portfolio Optimization - Value at Risk (VaR), Monte Carlo simulations, and correlation analysisMachine Learning in Finance - Predictive analytics, time series forecasting, and statistical arbitragePractical Python Applications - Code examples for data analysis, risk modeling, and backtesting strategiesWho This Book is For: Traders & Investors - Improve your trading strategies with statistical insightsFinancial Analysts & Risk Managers - Master probability-based risk assessmentStudents & Quantitative Finance Professionals - Strengthen your mathematical foundation for real-world applicationsWith clear explanations, real-world case studies, and Python implementations, this book is designed to turn complex math into actionable financial insights.Take your finance skills to the next level-get your copy today! This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.