Sas for Finance: Forecasting and Data Analysis Techniques with Real-World Exampl

Description: Sas for Finance by Harish Gulati SAS is the ground-breaking tool for advanced, predictive, and statistical analytics. Right from refining your data using power of SAS analytics, you will be able to exploit the capabilities of high-powered package to create accurate financial models. You can easily assess the pros and cons of models to suit unique business needs. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description Leverage the analytical power of SAS to perform financial analysis efficiently Key Features Leverage the power of SAS to analyze financial data with ease Find hidden patterns in your data, predict future trends, and optimize risk management Learn why leading banks and financial institutions rely on SAS for financial analysis Book Description SAS 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 learn Understand time series data and its relevance in the financial industry Build a time series forecasting model in SAS using advanced modeling theories Develop models in SAS and infer using regression and Markov chains Forecast ination by building an econometric model in SAS for your financial planning Manage customer loyalty by creating a survival model in SAS using various groupings Understand similarity analysis and clustering in SAS using time series data Who this book is for Financial 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. Author Biography Harish Gulati Harish Gulati is a consultant, analyst, modeler, and trainer based in London. He has 15 years of financial, consulting, and project management experience across leading banks, management consultancies, and media hubs. He enjoys demystifying his complex line of work in his spare time. This has led him to be an author and orator at analytical forums. He has also co-authored Role of a Data Analyst, published by British Chartered Institute of IT (BCS). He has an MBA in brand communications and a degree in psychology and statistics. Table of Contents Table of Contents Introduction to Time Series modelling in financial industry Forecasting stock prices and portfolio decisions using Time Series data (Stocks Forecasting) Build Probability of Default (PD) model to adhere to BASEL norms (Risk Management) Revenue forecasting to manage budgets/operational strategies (Budget and Demand Forecasting) Inflation forecasting for financial planning (Econometric Modelling) Manage customer loyalty using Time Series data (Customer Loyalty) Pattern Discovery in Product Purchases (Segmentation) Long Description Leverage the analytical power of SAS to perform financial analysis efficiently Key Features Leverage the power of SAS to analyze financial data with ease Find hidden patterns in your data, predict future trends, and optimize risk management Learn why leading banks and financial institutions rely on SAS for financial analysis Book Description SAS 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 learn Understand time series data and its relevance in the financial industry Build a time series forecasting model in SAS using advanced modeling theories Develop models in SAS and infer using regression and Markov chains Forecast ination by building an econometric model in SAS for your financial planning Manage customer loyalty by creating a survival model in SAS using various groupings Understand similarity analysis and clustering in SAS using time series data Who this book is for Financial 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. Details ISBN1788624564 Author Harish Gulati Pages 306 Publisher Packt Publishing Limited Year 2018 ISBN-10 1788624564 ISBN-13 9781788624565 Format Paperback Publication Date 2018-05-30 Short Title SAS for Finance Language English Subtitle Forecasting and Data Analysis Techniques with Real-World Examples to Build Powerful Financial Models Audience General/Trade UK Release Date 2018-05-30 Imprint Packt Publishing Limited Place of Publication Birmingham Country of Publication United Kingdom AU Release Date 2023-04-02 NZ Release Date 2023-04-02 We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:118586069;

Price: 93.84 AUD

Location: Melbourne

End Time: 2025-01-05T05:58:56.000Z

Shipping Cost: 11.73 AUD