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    Probability & Statistics for Finance: A Practical Guide for Quantitative Analysts and Traders

    Posted By: naag
    Probability & Statistics for Finance: A Practical Guide for Quantitative Analysts and Traders

    Probability & Statistics for Finance: A Practical Guide for Quantitative Analysts and Traders (Practical Guides for Quantitative Analysts and Traders Book 2)
    English | 2025 | ASIN: B0DY9JKFSD | 546 Pages | Epub | 1.67 MB

    Reactive Publishing
    Master Probability & Statistics for Smarter Financial Decision-Making
    In 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 inference
    Risk Management & Portfolio Optimization – Value at Risk (VaR), Monte Carlo simulations, and correlation analysis
    Machine Learning in Finance – Predictive analytics, time series forecasting, and statistical arbitrage
    Practical Python Applications – Code examples for data analysis, risk modeling, and backtesting strategies

    Who This Book is For:
    Traders & Investors – Improve your trading strategies with statistical insights
    Financial Analysts & Risk Managers – Master probability-based risk assessment
    Students & Quantitative Finance Professionals – Strengthen your mathematical foundation for real-world applications

    With clear explanations, real-world case studies, and Python implementations, this book is designed to turn complex math into actionable financial insights.