← Return To Course Library
Course Level
Delivery Method
Classroom Instructor-Led Course
Professional Development Credit Hours
Recommended: Introduction to Derivatives Markets, Hedging and Risk Management, Intermediate Derivatives Markets, Hedging and Risk Management, Advanced Derivatives Pricing, Hedging and Risk Management or equivalent knowledge.


Dr. Carlos Blanco is a financial risk management expert with over 20 years of diverse experience in energy markets. He has worked with some of the largest energy and commodity market firms worldwide providing educational, advisory services and software solutions.

He is the managing director of analytic solutions for Ascend Analytics. He has advised risk groups and senior management in oil, gas, power, mining and trading firms on various matters related to the risk management process including risk policy, hedging strategy, risk model development and validation, risk appetite and risk metrics.

Dr. Blanco is an active faculty member for Mennta Energy Solutions since 2004, and he has conducted a wide range of energy derivatives hedging, pricing and risk management seminars worldwide. A frequent conference speaker and writer, he has coauthored over 150 articles for Energy Risk Magazine, Commodities Now, Energy Metro Desk, Oil and Gas Journal and others.

He is a former VP Risk Solutions at Financial Engineering Associates, Inc (a MSCI/BARRA Company), where he managed the market risk suite of products as well as the firm's product support and professional services group. He also taught finance at the University of California, Berkeley, and the ABN AMRO Academy. He is a former VP Risk Solutions at Financial Engineering Associates, Inc (a MSCI/BARRA Company), where he managed the market risk suite of products as well as the firm’s product support and professional services group. He also taught finance at the University of California, Berkeley, and the ABN AMRO Academy. Dr. Blanco was recently awarded the GARP Sustainability and Climate Risk (SCR) certification.


NASBA: Mennta Energy Solutions is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its web site: www.nasbaregistry.org

CPD Certification Services: The CPD Certification Service works with Mennta Energy Solutions to ensure valuable knowledge is structured to complement the universal guidelines of Continuing Professional Development. Mennta Energy Solutions courses are approved by CPD at one credit per training hour.

BAC: Mennta Energy Solutions is pleased to be endorsed by the BAC for Independent Further Education as a Short Course Provider. Endorsement covers courses delivered in the UK only.

GARP: Mennta Energy Solutions is registered with GARP as an Approved Provider of Continuing Professional Development (CPD) credits.

Real Options and Simulation in Energy Markets (CLASSROOM) - DPH4

Course Schedule

Date Time Location Price* Registration Deadline**

*Prices do not include VAT, GST, or any other local taxes. All applicable taxes will be added to the invoice.
**Please register by the deadline to help us ensure sufficient attendance and avoid postponing the course.

Course Summary

Real Options and Simulation in Energy markets is a two-day energy trading course presented by the energy training experts at Mennta Energy Solutions. This course is an advanced course for energy practitioners interested in enhancing their applied knowledge of best practices in valuation, hedging and risk management of long term contracts and physical assets. This highly interactive workshop uses practical case studies, Excel exercises and group discussions to reinforce the concepts presented in the lectures.

The course introduces the models and strategies used to value, hedge and manage the risk of derivatives and physical assets in leading energy trading organizations. Delegates learn about the practical applications of the models and strategies from the point of view of the users of those models, not the quantitative developers.

The course explores the embedded optionality and trading strategies to optimize storage, transportation (ground and marine) assets and long term contracts in gas, power and oil markets. Cross commodity spread strategies are explored in the context of power generation and oil refinery operations. The course also covers the valuation, hedging and optimization of natural gas, LNG and refined product storage strategies in contango and backwardated markets.

Delegates learn how to apply Monte Carlo simulation (stochastic forward curve models, Least-Squares Monte Carlo) and binomial/trinomial trees for physical asset valuation and hedging. Case studies show how to incorporate operational constraints in the analysis.

Please note: a laptop and up-to-date version of Office would be an advantage in order to engage in market data; however it is not essential.

Who Should Attend?

- Market risk managers
- Quantitative analysts
- Asset-based traders
- Commercial analytics teams
- Structured product teams
- Fundamental analysts
- Chief risk officers
- Middle office personnel
- Credit risk managers
- Risk consultants
- IT specialists

Course Content

Day 1

401: Valuation and Hedging of Physical assets and Long Term Contracts as real options

-      Types of real options:   volume, timing, cross-commodity and location
-      Commodity trading: Transformation in time, space and form
-      Case study: Optionality in LNG trading
-      Main differences between real options vs. standard options
-      Intrinsic vs. extrinsic value of real options
-      Optimization and re-optimization: Rolling intrinsic and spot-based trading
-      Position management and monetization Strategies
-      Risk-equivalent position mapping of real options

402: Energy Price Behavior: Overview of forward curve models

-      Forward curve behavior in oil, gas and power markets
-      Review of spot price models: Geometric Brownian Motion (GBM), GBM with mean reversion and mean reverting jump diffusion (MRJD)
-      Multi-factor and multi-commodity models: Structured Monte Carlo (Cholesky-based) vs. Principal component analysis (PCA).
-      Excel exercises with PCA and structured Monte Carlo Simulation.
-      Case study: Destination option analysis and valuation with Monte Carlo

403: Transporting Commodities: Transformation in space

-      Pipeline and Transportation Options
-      Understanding locational basis relationships in energy markets
-      Using basis swaps to fix prices; hedge transportation and transmission
-      Case Study: To flow or not to flow: Natural gas locational basis trading
-      Firm capacity, Firm Recallable Capacity, and Interruptible services.
-      Cargo arbitrage with destination options: Position reports, delta-hedging and valuations
-      Congestion Revenue Rights (CRR) and Financial Transmission Rights (FTR)

404: Storing commodities: Transformation in time

-      Storage optimization in Contango and Backwardated markets
-      Natural Gas Storage: Time Spreads and Trading Strategies
-      Hedging and trading strategies for storage assets
-      Intrinsic value calculation of Storage using Excel 's Solver
-      Extrinsic value calculation and strip of spread options
-      Case study: Storage hedging and operational risk

Day 2

405: Blending commodities: Transformation in form

-      Optionality in production processes
-      Case study: Power generation
-      Valuation of generation assets as strips of spread options
-      Earnings at Risk for a power plant under different hedging strategies
-      Spark Spreads and Heat Rate Forwards and Options
-      Refineries and crack spreads
-      Case study: Hedging, Monetization and Speculation with Crack Spreads
-      LNG Liquefaction, Storage, Regasification and Trading: Transformation in space, time and form

406: Market, Credit and Operational Risk Policies and Metrics for Physical Assets

-      Risk appetite, risk tolerance and limits
-      Market Risk and Hedge Policy
-      Market risk metrics for assets: Value at Risk vs. Flow 'at-risk ' metrics (e.g. CFaR, GMaR and EaR)
-      Case study: Gross earnings at risk for a power plant
-      Credit risk and exposure measurement: Current Exposures vs. Potential future exposures (PFE)
-      Operational risk in assets
-      Case study: Introducing outages and pricing outage insurance

407: Volumetric Risk: Supply and Demand side considerations

-      Key sources of volume risk in oil, gas and power markets
-      Volumetric risk and Operational Risk
-      Unplanned Outage Insurance
-      Case study: Hedging storage contracts and operational risk
-      Possible problems when hedging physical exposures with financial forwards
-      Hedging Volumetric Risk: Weather Derivatives and Multiple-trigger contracts
-      Prepayment deals and force majeure events

408: Optimization, Backwards induction methods and early exercise decisions        

-      Dispatch rules and plant optimization under perfect foresight
-      Case study: Battery storage optimization and valuation with simulation
-      Binomial and trinomial trees. Step-by-step example
-      Forest of trees and swing contracts
-      Introduction to Least-squares Monte Carlo Simulation and applications
-      Case study: Pricing an American option with Longstaff-Schwartz method

Learn Energy
In the Classroom or Online

© Mennta Energy Solutions/Website by Hazel Digital Media
Back to Top