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

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Forecasting Stock Prices and Portfolio Decisions using Time Series

I wish I had put more money into this stock. I should have trusted my technical analysis. I need to trust my broker. My gut feeling told me I should have cut my losses. Aren't these all statements that we have heard individuals involved in stock markets say at some point?

With a stock price, you can instantly see the impact of getting forecast right or wrong. It pays to be right. But if it were so simple, anyone could forecast the closing price of a blue-chip share and make millions. Maybe if it were so simple, there wouldn't be anything to distinguish investors, and the returns for everyone investing would be smaller, as the winning prize would be split across millions of investors. The ability to make the right call on investment decisions is what differentiates successful and unsuccessful investors...

Key benefits

•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

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 in?ation 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

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