Statistics for Financial Analysts: Probability, Regression, Forecasting, and Risk Models for Applied Finance

Reactive PublishingStatistics for Financial Analysts is a practical guide to using statistical methods in modern finance, investment analysis, forecasting, and risk management.Designed for analysts, finance professionals, students, and technically minded readers, this book explains how probability, regression, time series analysis, forecasting, and risk models are applied to real financial problems. Rather than treating statistics as abstract theory, it focuses on the analytical tools used to interpret data, evaluate uncertainty, model relationships, and support financial decision-making.Inside, readers will learn how core statistical concepts connect to financial analysis, including probability distributions, sampling, correlation, regression, hypothesis testing, volatility, forecasting errors, model assumptions, and risk measurement. The book also explores how statistical thinking supports budgeting, valuation, portfolio analysis, market research, credit analysis, and financial planning.Clear, structured, and application-focused, this guide is ideal for readers who want to strengthen their quantitative finance foundation without getting lost in unnecessary academic complexity.Statistics for Financial Analysts is especially useful for:Finance analysts and FP&A professionalsInvestment and equity research analystsStudents studying finance, accounting, or economicsProfessionals working with financial models and forecastsReaders preparing for more advanced quantitative finance topicsFor anyone who wants to understand financial data with greater precision, this book provides a practical foundation in the statistical methods that drive better analysis, stronger forecasts, and more disciplined risk assessment. Read more