eBook - Risk Management Essentials

We are happy to announce the launch of our eBook, Risk Management Essentials.

eBook - Risk Management Essentials

And yes, this eBook is completely free.

About This eBook

The management of risk has emerged as the key challenge for every participant in the financial markets. Risk management is at the heart of many critical decisions, day-to-day operations, resource allocation, strategic planning, capital structure, legal exposure, performance measurement and a host of other issues. Increasingly, success depends on identification, quantification, and management of a variety of complex risks.

This book on "Risk Management Essentials" is designed to build an overall understanding of the risk management function. The readers will learn in detail about how risks are identified, quantified, and managed.

Download: Risk Management Essentials - eBook PDF

Data Science in Finance: 9-Book Bundle

Data Science in Finance Book Bundle

Master R and Python for financial data science with our comprehensive bundle of 9 ebooks.

What's Included:

  • Getting Started with R
  • R Programming for Data Science
  • Data Visualization with R
  • Financial Time Series Analysis with R
  • Quantitative Trading Strategies with R
  • Derivatives with R
  • Credit Risk Modelling With R
  • Python for Data Science
  • Machine Learning in Finance using Python

Each book includes PDFs, explanations, instructions, data files, and R code for all examples.

Get the Bundle for $29 (Regular $57)
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Data Science in Finance: 9-Book Bundle

Data Science in Finance Book Bundle

Master R and Python for financial data science with our comprehensive bundle of 9 ebooks.

What's Included:

  • Getting Started with R
  • R Programming for Data Science
  • Data Visualization with R
  • Financial Time Series Analysis with R
  • Quantitative Trading Strategies with R
  • Derivatives with R
  • Credit Risk Modelling With R
  • Python for Data Science
  • Machine Learning in Finance using Python

Each book comes with PDFs, detailed explanations, step-by-step instructions, data files, and complete downloadable R code for all examples.