Gulati SAS for Finance

Forecasting and data analysis techniques with real-world examples to build powerful financial models
1. Auflage 2018
ISBN: 978-1-78862-248-6
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 306 Seiten

No detailed description available for "SAS for Finance".

Autoren/Hrsg.

Gulati, Harish

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur
• Mathematik | Informatik EDV | Informatik Digital Lifestyle Online Banking & Finance

Inhaltsverzeichnis

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)

Über Autor(innen)

Gulati Harish:
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.