SAS for Finance: Forecasting and data analysis techniques with real-world examples to build powerful financial models

Leverage the analytical power of SAS to perform financial analysis efficientlyKey FeaturesLeverage the power of SAS to analyze financial data with easeFind hidden patterns in your data, predict future trends, and optimize risk managementLearn why leading banks and financial institutions rely on SAS for financial analysisBook DescriptionSAS is a groundbreaking tool for advanced predictive and statistical analytics used by top banks and financial corporations to establish insights from their financial data.SAS for Finance offers you the opportunity to leverage the power of SAS analytics in redefining your data. Packed with real-world examples from leading financial institutions, the author discusses statistical models using time series data to resolve business issues.This book shows you how to exploit the capabilities of this high-powered package to create clean, accurate financial models. You can easily assess the pros and cons of models to suit your unique business needs.By the end of this book, you will be able to leverage the true power of SAS to design and develop accurate analytical models to gain deeper insights into your financial data.What you will learnUnderstand time series data and its relevance in the financial industryBuild a time series forecasting model in SAS using advanced modeling theoriesDevelop models in SAS and infer using regression and Markov chainsForecast inflation by building an econometric model in SAS for your financial planningManage customer loyalty by creating a survival model in SAS using various groupingsUnderstand similarity analysis and clustering in SAS using time series dataWho this book is forFinancial data analysts and data scientists who want to use SAS to process and analyze financial data and find hidden patterns and trends from it will find this book useful. Prior exposure to SAS will be helpful but is not mandatory. Some basic understanding of the financial concepts is required.