Quantitative Finance with SAS: Analyzing and Forecasting Financial Data

Succeeding in quantitative finance requires the ability to turn raw market data into actionable statistical insights. This text-based course introduces you to SAS, the industry-standard software for sophisticated financial data analysis and economic forecasting. You will transition from understanding basic financial concepts to confidently executing complex statistical models. By reading through clear explanations and studying practical SAS code snippets, you will learn how to evaluate asset returns, run regressions, and forecast market trends. What you'll learn: - Understand foundational quantitative finance concepts and the SAS programming environment. - Apply descriptive statistics and hypothesis testing to real-world financial datasets. - Build and interpret linear regression and variance models to analyze asset performance. - Forecast economic trends using advanced SAS procedures and time-series concepts. - Evaluate model reliability using modern validation and regression diagnostics. The course begins with core definitions and navigating the SAS environment. You will then progress through step-by-step written guides covering statistical tests, regression analysis, and forecasting workflows. This course is designed for aspiring financial analysts, economists, and beginners looking to build a strong foundation in quantitative finance. No prior programming or advanced statistical background is required. Start reading today to unlock the power of statistical modeling in finance.