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- SAS for Finance. Forecasting and data analysis techniques with real-world examples to build powerful financial models
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SAS for Finance. Forecasting and data analysis techniques with real-world examples to build powerful financial models
Ebook
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.
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.
- 1. Introduction to Time Series modelling in financial industry
- 2. Forecasting stock prices and portfolio decisions using Time Series data (Stocks Forecasting)
- 3. Build Probability of Default (PD) model to adhere to BASEL norms (Risk Management)
- 4. Revenue forecasting to manage budgets/operational strategies (Budget and Demand Forecasting)
- 5. Inflation forecasting for financial planning (Econometric Modelling)
- 6. Manage customer loyalty using Time Series data (Customer Loyalty)
- 7. Pattern Discovery in Product Purchases (Segmentation)
- Title: SAS for Finance. Forecasting and data analysis techniques with real-world examples to build powerful financial models
- Author: Harish Gulati
- Original title: SAS for Finance. Forecasting and data analysis techniques with real-world examples to build powerful financial models
- ISBN: 9781788622486, 9781788622486
- Date of issue: 2018-05-30
- Format: Ebook
- Item ID: e_14zb
- Publisher: Packt Publishing