Packt+ | Advance your knowledge in tech

0

All Products

Best Sellers

New Releases

Books

Videos

Audiobooks

Free Learning

SAS for Finance

You're reading from SAS for Finance Forecasting and data analysis techniques with real-world examples to build powerful financial models

Product type Paperback

Published in May 2018

Publisher Packt

ISBN-13 9781788624565

Length 306 pages

Edition 1st Edition

Tools

SAS

Concepts

Data Analysis

Author (1):

Gulati

View More author details

Table of Contents (13) Chapters

Title Page

Packt Upsell

Contributors

Preface

1. Time Series Modeling in the Financial Industry FREE CHAPTER

2. Forecasting Stock Prices and Portfolio Decisions using Time Series

3. Credit Risk Management

4. Budget and Demand Forecasting

5. Inflation Forecasting for Financial Planning

6. Managing Customer Loyalty Using Time Series Data

7. Transforming Time Series – Market Basket and Clustering

1. Other Books You May Enjoy

Leave a review - let other readers know what you think

Index

Summary

In this chapter, we reviewed the regulatory influences on credit risk, and understood key aspects and metrics. We also introduced the concept of a generalized linear model using Proc Genmod. We showcased how a logistic model can be built using Genmod. We also discussed how ROC curves can help us compare models.

In the next chapter, we will introduce methodologies for budget and demand forecasting.

The rest of the chapter is locked

Register for a free Packt account to unlock a world of extra content!

A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.

Unlock this book and the full library FREE for 7 days

Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of

Start free trial

Renews at $15.99/month. Cancel anytime

Authors (1)

Gulati

Gulati

Harish Gulati is a consultant, analyst, modeler, and trainer based in London. He has 16 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. His published books include SAS for Finance by Packt and Role of a Data Analyst, published by the British Chartered Institute of IT (BCS). He has an MBA in brand communications and a degree in psychology.

See other products by Gulati

Other recommended products

Related to this chapter

Hands-On SAS For Data Analysis

Hands-On SAS For Data Analysis

SAS is one of the leading enterprise tools in the world today when it comes to data management and analysis. It allows for faster, easier processing of data and empowers you to get valuable business insights for effective decision-making. This book will serve as a comprehensive guide you can refer to while preparing for your SAS certification exam.

Sep 2019 11h 32m

Big Data Analytics with SAS

Big Data Analytics with SAS

SAS provides innovative data management, analytics, and business intelligence software and services which helps their customers to make better decisions faster. SAS is the world leader in analytics and recognized as one of the top business skills to learn to advance one's career. This book provides the reader with hands-on examples of using SAS for data management, analysis, and reporting and how explains how they can use SAS to perform efficient Big Data analytics.

Nov 2017 8h 52m

Practical Time Series Analysis

Practical Time Series Analysis

Practical Time Series Analysis will introduce you to the basic concepts of time series analysis and describe powerful yet simple techniques in Python which data scientists and data engineers would find useful in dealing with real life datasets in industrial settings. This book focuses on explaining important concepts and practical techniques to process, summarize and model time series data. Real life case studies with code snippets in Python are used to demonstrate the concepts and techniques.

Data Analysis with IBM SPSS Statistics

Data Analysis with IBM SPSS Statistics

SPSS Statistics is a software package used for logical batched and non-batched statistical analysis. Analytical tools such as SPSS can readily provide even a novice user with an overwhelming amount of information and a broad range of options for analyzing patterns in the data. This book will have a comprehensive coverage of IBM's premier statistics and data analysis tool – IBM SPSS Statistics. It is designed for business professionals who wish to analyze their data. By the end of this book, you will have a firm understanding of the various statistical analysis techniques offered by SPSS Statistics, and be able to master its use for data analysis with ease.

Sep 2017 14h 52m

Learning Quantitative Finance with R

Learning Quantitative Finance with R

This book covers applications of quantitative finance in R. It starts with the basics of quantitative finance and goes to complexity at the end of the book along with a varying degree of R complexity. This will guide you to implement different trading strategies for various financial instruments using basic to complex techniques along with its optimization and keeping the risk of financial instruments in check.

Mar 2017 9h 28m

Associations and Correlations

Associations and Correlations

Through this book, you'll learn why most statistical techniques give incorrect results and what you can do to avoid the most common pitfalls. You'll learn how to make sure you get the correct results the first time, every time.

Jun 2019 4h 28m

Hands-On Artificial Intelligence for Banking

Hands-On Artificial Intelligence for Banking

Hands-On Artificial Intelligence for Banking is a must-have guide for AI developers and machine learning experts looking to build intelligent finance-based applications. This guide will give its readers a complete overview of the global banking business with the help of interesting use-cases, and their implementation using popular Python libraries.

Hands-On Python for Finance

Hands-On Python for Finance

With this book, you will learn and implement various Quantitative Finance concepts using popular Python libraries like Numpy, pandas, Keras and more. We provide techniques to apply statistical methods used for data preprocessing and predict some of the best real-world case scenarios like stock prediction, sales prediction and many examples as such.

Mar 2019 12h 36m

Statistical Application Development with R and Python

Statistical Application Development with R and Python

Statistical Analysis involves collecting and examining data to describe the nature of data that needs to be analyzed. It helps you explore the relation of data and build models to make better decisions. You will begin with a brief understanding of the nature of data and end with modern and advanced statistical models like CART. Every step is taken with DATA and R code, and further enhanced by Python. By the end of this book you will be able to apply your statistical learning in major domains at work or in your projects.

Aug 2017 14h 24m

R Statistics Cookbook

R Statistics Cookbook

With this book, you will learn to execute a series of intermediate to advanced statistical tasks as you walk through each chapter. You will not only get well versed with the traditional statistics but you will also cover the necessary statistics required for machine learning and deep learning concepts.

Mar 2019 14h 56m

Practical Predictive Analytics

Practical Predictive Analytics

This book teaches six specific steps needed to implement predictive analytics using R. It also teaches how team collaboration is critical and how it increases the chances of implementing a successful model. The book uses cases from healthcare, marketing, and government to build practical skills. Big Data is also covered, in this book, which will extend your skill sets by learning Databricks and RSpark.

Jun 2017 19h 12m

Personalised recommendations for you

Based on your interests and search pattern

Mathematics of Machine Learning

Mathematics of Machine Learning

Deepen your theoretical knowledge and enhance your ability to solve complex machine learning problems with structured guidance. Gain the confidence to engage with advanced ML literature and tailor algorithms to meet your project requirements.

May 2025 24h 20m

Generative AI with Python and PyTorch

Generative AI with Python and PyTorch

Learn how to create images and text using VAEs, GANs, LSTMs, and transformers. Implement applications in natural language processing and computer vision through practical tutorials.

Mar 2025 15h 0m

Practical Generative AI with ChatGPT

Practical Generative AI with ChatGPT

This book helps you unlock ChatGPT's potential to make your working life better. From prompt engineering to creating custom GPTs, you'll enhance your productivity, creativity, and efficiency with practical insights and advanced techniques.

Apr 2025 12h 52m

Generative AI with LangChain

Generative AI with LangChain

Gain a solid foundation in LangChain, agentic AI, and LangGraph, and learn to build production-ready systems with multi-agent architectures, advanced RAG pipelines, Tree of Thought reasoning, agent handoffs, and fine-grained error handling.

May 2025 15h 52m

Architecting Power BI Solutions in Microsoft Fabric

Architecting Power BI Solutions in Microsoft Fabric

Power BI provides several options to solve common data problems, and designing the correct solution for each scenario can be a daunting task. This book makes it easier by guiding you through designing optimal solutions using Power BI.

Apr 2025 14h 16m

Microsoft Identity and Access Administrator SC-300 Exam Guide

Microsoft Identity and Access Administrator SC-300 Exam Guide

This comprehensive guide covers key topics such as Microsoft Entra ID implementation, authentication and access management, external user management, and hybrid identity solutions, providing practical insights and techniques for SC-300 exam success.

Mar 2025 19h 48m

LLM Design Patterns

LLM Design Patterns

This book helps you gain practical skills to develop and deploy LLMs. You'll learn data prep, training, pruning, quantization, and evaluation, as well as explore RAG, advanced prompting, and optimization to build robust, scalable language models.

May 2025 17h 48m

Tableau Cookbook for Experienced Professionals

Tableau Cookbook for Experienced Professionals

Advance your Tableau knowledge beyond the basics, streamline dashboard performance, tackle advanced geospatial challenges, and unlock API potential while fortifying your corporate data infrastructure with proven best practices.

Apr 2025 12h 24m

Time Series Analysis with Spark

Time Series Analysis with Spark

This book offers a complete guide to time series analysis with Apache Spark and Databricks, covering essential concepts and advanced techniques including Generative AI to equip readers with skills for real-world challenges across industries.

Mar 2025 9h 56m

Hands-On Artificial Intelligence for IoT

Hands-On Artificial Intelligence for IoT

Transform IoT systems with the power of artificial intelligence using this hands-on guide. Dive into practical techniques and expert insights to innovate and optimize your IoT devices, making them smarter and more efficient.

May 2025 15h 44m