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Course Level
Advanced
Delivery Method
Live Instructor-Led Virtual Course
Professional Development Credit Hours
10
Pre-requisites
Recommended: Introduction to Derivatives Markets, Hedging and Risk Management or equivalent knowledge.


Faculty

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.


Accreditations

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.

Advanced Derivatives Pricing, Hedging and Risk Management (VIRTUAL) - DPH3V


Course Schedule

Date Time Location Price* Registration Deadline**
12-14 Jun 2023
Register
10:00am-1:00pm (New York) / 15:00-18:00 (London)
Zoom: Americas to Europe
USD 1,630 (DPH3V-VILTNA23-06)
5 May 2023

*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

This highly applied and practical energy training course is designed for energy risk practitioners interested in enhancing their knowledge of best practices in valuation, hedging and risk management of derivatives portfolios.

Delegates are introduced to the most commonly used derivatives pricing models in energy trading organizations such as closed-form solutions and Monte Carlo simulation. The main price processes for energy risk analysis such as Geometric Brownian Motion and Mean-reverting models are illustrated with pricing and risk analysis examples.

This advanced trading course builds on the concepts introduced in DPH1 and DPH2 and explores advanced strategies used to price, hedge and manage the risk of derivatives in leading energy trading organizations. Delegates learn about the practical applications of the models and strategies from the point of view of users of those models, not the quantitative developers.

Advanced market risk management topics such as marginal VaR analysis and Extreme Value Theory (EVT) as well as risk risk metrics such as Earnings at Risk (EaR), Cash Flow at Risk (CFaR) and Economic Capital are covered with practical examples. Several case studies illustrate how to set an effective system of risk limits and risk-adjusted performance measurement.

DPH3 also covers best practices in counterparty risk management. Metrics such as Potential Future Exposure (PFE) and Credit Valuation Adjustments (CVA) are introduced in the context of contract valuation and risk charges.


Who Should Attend?

  • Market risk managers
  • Energy traders
  • Trading managers
  • End-users of derivatives in corporations
  • Credit risk analysts
  • Risk consultants
  • Risk and audit committee members
  • CFOs and treasury managers
  • Finance department personnel
  • Compliance managers
  • Middle and back-office personnel
  • Treasurers and treasury analysts
  • Chief risk officers

Course Content

301: Energy Price Behavior: Overview of Spot and Forward price models

  • Spot price models for energy and commodity markets
  • Geometric Brownian motion (GBM) and Mean reversion
  • Case Study: Simulating prices with GBM and a mean-reverting process in Excel.
  • Jump diffusion with mean reversion (MRJD) processes
  • Modelling hourly and sub-hourly prices in power markets
  • Spot and Forward curve behavior in oil, gas and power markets
  • Multi-factor and multi-commodity models: Structured Monte Carlo (Cholesky) with correlated random shocks
     
     

302: Introduction to Derivatives Pricing Models

  • Mark-to-market vs. mark-to-model. Conceptual Interpretation.
  • Closed-form solutions (formulas)
  • Case Study: Pricing Options using Black 76 in Excel.
  • Implied Volatility. Skews and Surfaces. Delta and moneyness surfaces  
  • Case Study: Bank of Montreal Natural Gas derivatives mispricing
  • Monte Carlo simulation for European and Path-dependent options
  • Case study: How to add thousands of simulations in Excel
  • Binomial and trinomial trees. Case Study: Pricing an American option.

 

303: Market Risk Management: Marginal VaR analysis and Attribution

  • Review of VaR methodologies: Variance-Covariance, Monte Carlo Simulation, Historical Simulation
  • Deconstructing Risk: Marginal VaR
  • Explaining VaR changes with a risk attribution report
  • How to find the VaR minimizing position: Trade risk profiles and best hedges
  • Advanced Historical Simulation (HS): EWMA HS and Volatility-Updated HS
  • Tail “heaviness” and Tail “asymmetry”: ETL and other Risk measures.
  • Extreme Value Theory VaR and ETL
  • Integrating stress tests into the tail analysis.

 

304: Enterprise Risk Management and Key Risk Indicators (KRIs)

-Risk Metrics and Enterprise Risk Management
 -Value and flow metrics: Main uses and differences
 -Earnings at risk, Cash Flow at risk and Gross Margin at risk for multiple maturities
 -Margin-at-risk calculation and liquidity risk management
 -Excel Case study: Multi-step Earnings at Risk calculation for an energy producer
 -Economic capital and RAROC
 -Case Study: Calculation of economic capital and pre-trade risk charges

305: Counterparty Risk Management

-Counterparty risk trading in energy trading
 -Estimating default probabilities and internal rating systems
 -Current Exposure, Expected Exposure vs. potential future exposure
 -Potential exposure and the role of margin, collateral and settlements.
 -Excel case study: Calculating PFE for Commodity Swaps and Physical Forwards
 -Counterparty Valuation Adjustments (CVA)
 

306: Advanced Valuation topics in pricing and hedging

-Pricing options with volatility surfaces
 -Stochastic volatility models in commodity markets
 -Case study: Simulating forward prices with stochastic volatility
 -Valuation and hedging of exposures with volumetric risk: Understanding Gamma risk
 -Demand-driven uncertainty and volumetric risk (e.g. weather-driven loads)
 -Supply-driven uncertainty and volumetric risks (e.g. renewables, operations risks)
 -Case study: Hedging strategies for wind and solar generation

Course Wrap-up

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