Probability and Statistics for Finance (Paperback)

Danny Munrow

ISBN 13: 9798312079890

Published by Independently Published, 2025

About this Item

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.

Seller Inventory # 9798312079890

Bibliographic Details

• Title: Probability and Statistics for Finance (Paperback)
• Publisher: Independently Published
• Publication Date: 2025
• Language: English
• ISBN 13: 9798312079890
• Binding: Paperback
• Condition: new

About this title

Synopsis

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.

Take your finance skills to the next level—get your copy today!