In-depth research on Commodity Risk Management, AI use cases, and quantitative finance — free for industry professionals.
Total Resources
13
Whitepapers
10
E-books
3
Our publications cover policy, procedure, processes and best-practices related to Risk Management — especially for energy and commodity players. We'd love to hear your comments and suggestions. Write to us.
Real Use Cases in Artificial Intelligence and Machine Learning
Artificial Intelligence has shown great potential over the last few years in solving myriad problems of companies. While most of the concept…
P&L Analysis for a Linear and a Non-Linear Portfolio
Most companies with a dynamic portfolio of assets usually analyze their daily / monthly P&L in great detail. One of the most commonly desire…
For Counterparty Credit Scoring & Risk Management
Imagine a Counterparty with a history of default, beginning to slip on its payments again; or a relatively newer Counterparty with steadily …
Forecasting Brent Crude Prices with AI and ML
In this whitepaper, released in early January 2016, we tackle the challenge of predicting Brent Crude prices using Artificial Intelligence a…
Case Studies, Analysis & Lessons Worth US $335 Billion
This whitepaper, released in October 2015, delves into 21 of the world’s most significant Risk Management failures. From financial missteps …
Exploring the Boundaries of Commodity – Currency Interplay
Released in August 2015, this whitepaper delves into the intricate relationship between commodities and currencies. It addresses key questio…
New Model to Handle Risks Beyond VaR
Released on November 4, 2014, this whitepaper addresses the limitations of Value at Risk (VaR) as a risk management tool, highlighting the n…
A Model for Measuring Returns on Risk Management Investments
Released on February 21, 2014, this whitepaper explores the Return on Investment (RoI) for Risk Management, specifically tailored for energy…
Reduce Hedging Costs, Improve Risk Management & Margins
Released on April 21, 2014, this whitepaper introduces a new Hedge Framework designed to be more robust and flexible than existing hedge mod…
How to achieve Stable VaR results when using Monte-Carlo Simulation
Released on June 25, 2014, this whitepaper addresses a critical issue in Risk Management: the stability of Monte-Carlo VaR results. Monte-Ca…
Which one to Use for Computing VaR?
Released on September 21, 2014, this whitepaper explores a critical decision for Risk teams: whether to use Historical or Implied Volatility…
Quick Guidelines for Commodity Risk Practitioners
Released on January 4, 2014, this e-book is designed for commodity risk practitioners aiming to bridge gaps in their Risk Management functio…
Which one to Use for Computing VaR?
Published on September 21, 2014, this whitepaper addresses a critical question for Risk Management teams: Should Historical or Implied Volat…
Our publications are read by professionals from Energy, Commodity, Banking, and Financial Services industries worldwide — from C-suite executives to quantitative analysts and risk managers.
If you would like more information about our research or a specific project, write to us with your details and we'll get back to you.
Explore our solutions for Commodity and Energy Risk Management, or get in touch to discuss your specific needs.
Risk Edge is a leading Solution provider for Machine Learning & Risk Analytics, used by medium and large Energy & Commodity Trading Players.
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