This is a practical, hands-on course in Real Options, which we’ve constructed to be within the grasp of non-mathematical experts.
We designed this two day course specifically to instruct participants in the areas of outright, embedded and real options, physical assets, hedging future cash flows of assets, optimization of allocation of assets, flexibility, pricing of options, valuation of real options and Greek variables as indicators for sensitivities.
We designed this two day course specifically to instruct participants in the areas of outright, embedded and real options, physical assets, hedging future cash flows of assets, optimization of allocation of assets, flexibility, pricing of options, valuation of real options and Greek variables as indicators for sensitivities.
We designed this two day course specifically to instruct participants in the areas of outright, embedded and real options, physical assets, hedging future cash flows of assets, optimization of allocation of assets, flexibility, pricing of options, valuation of real options and Greek variables as indicators for sensitivities.
We designed this two day course specifically to instruct participants in the areas of outright, embedded and real options, physical assets, hedging future cash flows of assets, optimization of allocation of assets, flexibility, pricing of options, valuation of real options and Greek variables as indicators for sensitivities.
The course is about real options and while statistics are important in this area of expertise and there is a bit of mathematics in the course material, in this course things are explained so that everybody will be able to understand, regardless of their mathematical abilities. This does not affect the level of the course in any negative way, but allows us to explain all subjects in an even more in-depth manner than you can imagine.
This two day course on flexibility instruments in the natural gas market focuses mainly on gas storage, swing and take-or-pay contracts. The purpose of the course is to provide a better understanding of flexibility instruments, their value drivers, risk factors, portfolio management, trading and hedging strategies.
We designed this two day course specifically to instruct participants in the areas of outright, embedded and real options, physical assets, hedging future cash flows of assets, optimization of allocation of assets, flexibility, pricing of options, valuation of real options and Greek variables as indicators for sensitivities.
We designed this two day course specifically to instruct participants in the areas of outright, embedded and real options, physical assets, hedging future cash flows of assets, optimization of allocation of assets, flexibility, pricing of options, valuation of real options and Greek variables as indicators for sensitivities.
We designed this two day course specifically to instruct participants in the areas of outright, embedded and real options, physical assets, hedging future cash flows of assets, optimization of allocation of assets, flexibility, pricing of options, valuation of real options and Greek variables as indicators for sensitivities.
The course is about real options and while statistics are important in this area of expertise and there is a bit of mathematics in the course material, in this course things are explained so that everybody will be able to understand, regardless of their mathematical abilities. This does not affect the level of the course in any negative way, but allows us to explain all subjects in an even more in-depth manner than you can imagine.
This two day course on flexibility instruments in the natural gas market focuses mainly on gas storage, swing and take-or-pay contracts. The purpose of the course is to provide a better understanding of flexibility instruments, their value drivers, risk factors, portfolio management, trading and hedging strategies.
This new course is designed specifically to expand participants\' knowledge and skills in the areas of risk, exposures, managing uncertainty, portfolio management, setting limits and implementing controls. Products, potential price changes and risk management with respect to trading and portfolio management are also focused upon during the course, therefore the primary aim is that of market risk.
This two day masterclass is specifically designed to expand participants' knowledge of, and skills with respect to weather
analysis, wind turbine basics, and the modeling, calibration and valuation of wind and wind derivatives.
This two day course on flexibility instruments in the natural gas market focuses mainly on gas storage, swing and take-or-pay contracts and to a lesser degree on transportation and LNG. The purpose of the course is to provide a better understanding of flexibility instruments, their value drivers, risk factors, portfolio management, trading and hedging strategies.
In the course we will study how flexibility instruments fit into a company's portfolio to manage variations in demand. You will learn how to value the instruments, use them in a portfolio of products and assets, and develop trading and hedging strategies around them. The course explains a number of contract structures, which include gas and oil indexation, penalty structures, period quantity constraints, make-up and carry-forward rights.
This is a two day course on valuation and hedging techniques for power generation assets. The course provides in-depth analysis of methodologies to value and manage generation assets and power contracts. The course mainly covers thermal plants, but also contains separate discussion of virtual power plant contracts, tolling deals, and wind and hydro generation assets.
This two-day training is specifically designed to expand the participants' knowledge and skills in interpreting weather risk analysis, wind turbine basics, as well as the modeling, calibration and valuation of wind and wind derivatives.
The training is about wind derivatives, however, methods of modeling, calibration and pricing will also be discussed. There will also be time to explore the more practical sides of wind modeling in VBA, MATLAB or R.
A tentative program of the sessions in this training can be found in the brochure, however due to the high degree of overlap between the sessions, new content will build upon the material already covered, providing a seamless learning experience. There will be time for questions and discussions after the sessions.
This is a two day course on valuation and hedging techniques for power generation assets. The course provides in-depth analysis of methodologies to value and manage generation assets and power contracts. The course mainly covers thermal plants, but also contains separate discussion of virtual power plant contracts, tolling deals, and renewable assets.
With real life examples and cases studies the course will demonstrate what techniques can be used to properly value and manage power plants, thereby incorporating relevant technical and commercial plant constraints. Furthermore, the course shows how to construct realistic price scenarios, a key element in valuation and hedging.
This is a two day course on valuation and hedging techniques for power generation assets. The course provides in-depth analysis of methodologies to value and manage generation assets and power contracts. The course mainly covers thermal plants, but also contains separate discussion of virtual power plant contracts, tolling deals, and renewable assets.
Welcome to this course in Energy and Commodity Finance
The course topics covers physical energy assets and operations, financial modelling, and risk management across the entire energy and commodity value chain. All material has been developed in accordance with the topics outlined in the 2013 ERP Study Guide, and reflects
the learning objectives defined by the GARP’s Energy Oversight Committee (EOC). The content is designed with the objective of preparing participants to be tested on the required knowledge and tools necessary for professionals that manage risk in the energy industry.
This two day course on flexibility instruments in the natural gas market focuses mainly on gas storage, swing and take-or-pay contracts and to a lesser degree on transportation and LNG. The purpose of the course is to provide a better understanding of flexibility instruments, their value drivers, risk factors, portfolio management, trading and hedging strategies.
This two day course on flexibility instruments in the natural gas market focuses mainly on gas storage, swing and take-or-pay contracts. The purpose of the course is to provide a better understanding of flexibility instruments, their value drivers, risk factors, portfolio management, trading and hedging strategies.
In this workshop, you’ll walk in the shoes of a trader. From behind a trading screen, you’ll enter the market. You\'ll purchase and offer energy products (oil, gas, electricity) and currencies (FX); you’ll buy and sell futures contracts and options.
We designed this two day course specifically to instruct participants in the areas of outright, embedded and real options, physical assets, hedging future cash flows of assets, optimization of allocation of assets, flexibility, pricing of options, valuation of real options and Greek variables as indicators for sensitivities.
Option Pricing Models Lecture NotesThis week’s assignment is .docxhopeaustin33688
Option Pricing Models Lecture Notes:
This week’s assignment is quite complex. Keep in mind that the theory behind these pricing models is the important thing to remember for this week’s assignment.
If you feel the need to understand the Black Scholes (BSOPM) model in greater detail, I direct you to and http://en.wikipedia.org/wiki/Black_Scholes.
The models we discuss this week can be used via MS Excel templates, which you will find uploaded to the course content section of our classroom under this week’s folder. There is also an alternative calculator, courtesy of 888options.com located at the Binomial & Black Scholes Calculator link. I strongly encourage you to try these out to get a feel for how the different variables play into the final determination of pricing.
1. Binomial options pricing model
In finance, the binomial options pricing model provides a generalisable numerical method for the valuation of options. The binomial model was first proposed by Cox, Ross and Rubinstein (1979). Essentially, the model uses a "discrete-time" model of the varying price over time of the underlying financial instrument. Option valuation is then via application of therisk neutrality assumption over the life of the option, as the price of the underlying instrument evolves.
Use of the model
The Binomial options pricing model approach is widely used as it is able to handle a variety of conditions for which other models cannot easily be applied. This is largely because the BOPM models the underlying instrument over time - as opposed to at a particular point. For example, the model is used to value American options which can be exercised at any point and Bermudan options which can be exercised at various points.
The model is also relatively simple, mathematically, and can therefore be readily implemented in a software (or even spreadsheet) environment. Although slower than the Black-Scholes model, it is considered more accurate, particularly for longer-dated options, and options on securities with dividend payments. For these reasons, various versions of the binomial model are widely used by practitioners in the options markets.
For options with several sources of uncertainty (e.g. real options), or for options with complicated features (e.g. Asian options), lattice methods face several difficulties and are not practical. Monte Carlo option models are generally used in these cases. Monte Carlo simulation is, however, time-consuming in terms of computation, and is not used when the Lattice approach (or a formula) will suffice. See Monte Carlo methods in finance.
Methodology
The binomial pricing model uses a "discrete-time framework" to trace the evolution of the option's key underlying variable via a binomial lattice (tree), for a given number of time steps between valuation date and option expiration.
Each node in the lattice represents a possible price of the underlying, at a particular point in time. This price evolution forms the basis for t.
This new course is designed specifically to expand participants\' knowledge and skills in the areas of risk, exposures, managing uncertainty, portfolio management, setting limits and implementing controls. Products, potential price changes and risk management with respect to trading and portfolio management are also focused upon during the course, therefore the primary aim is that of market risk.
This two day masterclass is specifically designed to expand participants' knowledge of, and skills with respect to weather
analysis, wind turbine basics, and the modeling, calibration and valuation of wind and wind derivatives.
This two day course on flexibility instruments in the natural gas market focuses mainly on gas storage, swing and take-or-pay contracts and to a lesser degree on transportation and LNG. The purpose of the course is to provide a better understanding of flexibility instruments, their value drivers, risk factors, portfolio management, trading and hedging strategies.
In the course we will study how flexibility instruments fit into a company's portfolio to manage variations in demand. You will learn how to value the instruments, use them in a portfolio of products and assets, and develop trading and hedging strategies around them. The course explains a number of contract structures, which include gas and oil indexation, penalty structures, period quantity constraints, make-up and carry-forward rights.
This is a two day course on valuation and hedging techniques for power generation assets. The course provides in-depth analysis of methodologies to value and manage generation assets and power contracts. The course mainly covers thermal plants, but also contains separate discussion of virtual power plant contracts, tolling deals, and wind and hydro generation assets.
This two-day training is specifically designed to expand the participants' knowledge and skills in interpreting weather risk analysis, wind turbine basics, as well as the modeling, calibration and valuation of wind and wind derivatives.
The training is about wind derivatives, however, methods of modeling, calibration and pricing will also be discussed. There will also be time to explore the more practical sides of wind modeling in VBA, MATLAB or R.
A tentative program of the sessions in this training can be found in the brochure, however due to the high degree of overlap between the sessions, new content will build upon the material already covered, providing a seamless learning experience. There will be time for questions and discussions after the sessions.
This is a two day course on valuation and hedging techniques for power generation assets. The course provides in-depth analysis of methodologies to value and manage generation assets and power contracts. The course mainly covers thermal plants, but also contains separate discussion of virtual power plant contracts, tolling deals, and renewable assets.
With real life examples and cases studies the course will demonstrate what techniques can be used to properly value and manage power plants, thereby incorporating relevant technical and commercial plant constraints. Furthermore, the course shows how to construct realistic price scenarios, a key element in valuation and hedging.
This is a two day course on valuation and hedging techniques for power generation assets. The course provides in-depth analysis of methodologies to value and manage generation assets and power contracts. The course mainly covers thermal plants, but also contains separate discussion of virtual power plant contracts, tolling deals, and renewable assets.
Welcome to this course in Energy and Commodity Finance
The course topics covers physical energy assets and operations, financial modelling, and risk management across the entire energy and commodity value chain. All material has been developed in accordance with the topics outlined in the 2013 ERP Study Guide, and reflects
the learning objectives defined by the GARP’s Energy Oversight Committee (EOC). The content is designed with the objective of preparing participants to be tested on the required knowledge and tools necessary for professionals that manage risk in the energy industry.
This two day course on flexibility instruments in the natural gas market focuses mainly on gas storage, swing and take-or-pay contracts and to a lesser degree on transportation and LNG. The purpose of the course is to provide a better understanding of flexibility instruments, their value drivers, risk factors, portfolio management, trading and hedging strategies.
This two day course on flexibility instruments in the natural gas market focuses mainly on gas storage, swing and take-or-pay contracts. The purpose of the course is to provide a better understanding of flexibility instruments, their value drivers, risk factors, portfolio management, trading and hedging strategies.
In this workshop, you’ll walk in the shoes of a trader. From behind a trading screen, you’ll enter the market. You\'ll purchase and offer energy products (oil, gas, electricity) and currencies (FX); you’ll buy and sell futures contracts and options.
We designed this two day course specifically to instruct participants in the areas of outright, embedded and real options, physical assets, hedging future cash flows of assets, optimization of allocation of assets, flexibility, pricing of options, valuation of real options and Greek variables as indicators for sensitivities.
Option Pricing Models Lecture NotesThis week’s assignment is .docxhopeaustin33688
Option Pricing Models Lecture Notes:
This week’s assignment is quite complex. Keep in mind that the theory behind these pricing models is the important thing to remember for this week’s assignment.
If you feel the need to understand the Black Scholes (BSOPM) model in greater detail, I direct you to and http://en.wikipedia.org/wiki/Black_Scholes.
The models we discuss this week can be used via MS Excel templates, which you will find uploaded to the course content section of our classroom under this week’s folder. There is also an alternative calculator, courtesy of 888options.com located at the Binomial & Black Scholes Calculator link. I strongly encourage you to try these out to get a feel for how the different variables play into the final determination of pricing.
1. Binomial options pricing model
In finance, the binomial options pricing model provides a generalisable numerical method for the valuation of options. The binomial model was first proposed by Cox, Ross and Rubinstein (1979). Essentially, the model uses a "discrete-time" model of the varying price over time of the underlying financial instrument. Option valuation is then via application of therisk neutrality assumption over the life of the option, as the price of the underlying instrument evolves.
Use of the model
The Binomial options pricing model approach is widely used as it is able to handle a variety of conditions for which other models cannot easily be applied. This is largely because the BOPM models the underlying instrument over time - as opposed to at a particular point. For example, the model is used to value American options which can be exercised at any point and Bermudan options which can be exercised at various points.
The model is also relatively simple, mathematically, and can therefore be readily implemented in a software (or even spreadsheet) environment. Although slower than the Black-Scholes model, it is considered more accurate, particularly for longer-dated options, and options on securities with dividend payments. For these reasons, various versions of the binomial model are widely used by practitioners in the options markets.
For options with several sources of uncertainty (e.g. real options), or for options with complicated features (e.g. Asian options), lattice methods face several difficulties and are not practical. Monte Carlo option models are generally used in these cases. Monte Carlo simulation is, however, time-consuming in terms of computation, and is not used when the Lattice approach (or a formula) will suffice. See Monte Carlo methods in finance.
Methodology
The binomial pricing model uses a "discrete-time framework" to trace the evolution of the option's key underlying variable via a binomial lattice (tree), for a given number of time steps between valuation date and option expiration.
Each node in the lattice represents a possible price of the underlying, at a particular point in time. This price evolution forms the basis for t.
A profound pricing strategy in your company is necessary, but only using the classic methods can
restrain you from exploiting your profit margins to the fullest. A lot of research and discoveries have
been done on this subject, resulting in soundly based and ready-to-use theories. During Advanced
Pricing Toolbox, you convey insights that go beyond the classical assumptions and tools of price
research and strategy.
This two day masterclass is specifically designed to expand participants' knowledge of, and skills with respect to weather analysis, wind turbine basics, and the modeling, calibration and valuation of wind and wind derivatives.
The Analysis of the Impact of Capital Mobility on Bubbly Episodes Creation in...Andrii Chlechko
The author has developed a stylized experimental model, which is used to analyze the impact of the introduction of capital mobility on the assets’ prices behaviour in the controlled laboratory environment. The introduction of capital mobility is a subject to financial friction in a form of borrowing costs and collateral borrowing. The model is based on SSW-type double-auction market with finite horizon. Current paper analysis two types of markets: one asset market and two assets market. Such a division is crucial for the analysis of resources allocation and subjects decision making. The division of the analyzed population into productive and unproductive investors creates the environment, in which the structure of capital mobility tends to impact the overall market efficiency. The overall combination of presented factors allows the author to analyze the market efficiency based on the deviation of the market traded price over the expected average value of the assets.
http://www.wz.uw.edu.pl/portaleFiles/6133-wydawnictwo-/Rynek_kapitałowy_szanse_2018.pdf
This is a two day course on valuation and hedging techniques for power generation assets. The course provides in-depth analysis of methodologies to value and manage generation assets and power contracts. The course mainly covers thermal plants, but also contains separate discussion of virtual power plant contracts, tolling deals, and renewable assets.
Francesca Gottschalk - How can education support child empowerment.pptxEduSkills OECD
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Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
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Biological screening of herbal drugs: Introduction and Need for
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2. This is a practical, hands-on course
in Real Options, which we’ve
constructed to be within the grasp of
non-mathematical experts.
Introduction
We designed this two day course specifically to instruct
participants in the areas of outright, embedded and real
options, physical assets, hedging future cash flows of
assets, optimization of allocation of assets, flexibility,
pricing of options, valuation of real options and Greek
variables as indicators for sensitivities.
The course is about real options and while statistics are
important in this area of expertise and there is a bit of
mathematics in the course material, in this course things
are explained so that everybody will be able to understand,
regardless of their mathematical abilities.This does not
affect the level of the course in any negative way, but allows
us to explain all subjects in an even more in-depth manner
than you can imagine.
Learning objectives
Acquiring insight and knowledge of:
▶ Option and options theory
▶ Options valuation and valuation of physical assets
▶ Scenario analysis
▶ Sensitivity analysis of cash flows
▶ Greeks variables
OURSOURSOURS Who should attend?
This program was specifically developed for Traders,
Asset & Portfolio managers, Quants, Risk managers and
Analysts, but more it is also suitable to and helpful for:
▶ Front, Mid and Back office staff
▶ Originators
▶ ICT experts and Project managers
▶ Legal staff and Compliance officers
▶ Staff of the Finance department
▶ Controllers and Accountants
Training
The training is based on a strong interactive approach
in which the contribution of participants is of utmost
importance.Theory and practice are explained and
expounded using official definitions, scientific theories,
practical exercises, cases and simulations.
Documentation
Participants will be provided with a syllabus with study
material for this specific program.The syllabus contains
all relevant documents including power point slides, fact
sheets, cases and exercises.
RealOptions
3. AGENDAAGENDAAGENDA
Program
DAY 1
Session 1:
Options
▶ Call & put options
▷ Premium
▷ Strike price
▷ Options style
▪ American, European & Asian Style, and more
▪ Plain vanilla versus Exotic options
▶ Options
▶ Outright options
▶ Embedded options
▶ Real options
▶ Flexibility as option
▷ 1-sided right vs. 2-sided obligation
▷ The real options approach
Session 2:
Option valuation
▶ Valuation models
▷ Black & Scholes
▷ Binomial models
▪ Trees
▶ Disadvantages of models
▷ Assumptions do not represent real life
▶ Skew
▷ Skewness of normal distributed curve
▷ Tail risk
▷ Volatility smile
▷ Positive skew
▷ Negative skew
▶ Kurtosis
▷ Lepto-kurtosis
▷ Height of the mean
▶ Impact on options premiums
▷ Volatility curve
▷ Volatility smile
Exercises
▶ Calculation of option value via binomial tree
▶ Calculation of option value with normal distribution
▶ Calculation of option value with log-normal distribution
▶ Calculation of option value with skew
Session 3:
Power plants as real options
▶ Power plants as sequence of call options on the spark/
dark spread
▶ Asset-backed trading
▷ Spark spread optimization
▷ Delta hedging
▷ Strategy to lock in
▷ Dynamic hedging
▷ Objective approach
▷ Subjective approach
▪ Under/over-hedging
▷ Value of real option
▪ Time value
▪ Intrinsic value
▪ Volatility of the spark spread
Exercise:
Power plants as real options
Session 4:
Gas storages
▶ Gas storage
▷ Sequence of time-spread options
▶ Locking in the value of the gas asset
▷ Hedging process
▪ Setting up hedge
- Choose amount/significance
▪ Unwinding hedge
- Choose significance
▪ Repeat sequence
▪ Timing as critical element
▪ View on the market
Exercise: Gas storage valuation
Simulation: Trading simulation to lock in and optimize
asset value
Excel: Option with 2 legs, 2 prices & 2 volatilities
4. LOURSOURSOURSProgram
DAY 2
Session 5:
Transport capacity as real options
▶ Gas transport capacity
▷ String of location-spread options
▶ Power transport capacity
▷ Series of location-spread options
▶ Basis trading
▷ Trading the basis
Session 6:
Greek variables
▶ Sensitivity analysis
▷ Delta; What is it? What is its interpretation? How to apply
to assets?
▷ Gamma; What is it? What is its interpretation? How to
apply?
▷ Vega; the impact of volatility
▷ Theta; premium decay over time
▷ Rho; interest rate sensitivity
▶ Scenario analysis versus sensitivity analysis
▶ Combined reporting
▶ Matrix
Simulation:
Trading options & managing flexibility in energy portfolios
Session 7:
Managing Greeks in large portfolios
– Part 1
▶ Creating an overview of all Greeks
▶ Combining this overview with scenario analysis
▶ Steering exposures by doing transactions
▷ What deals are required or preferable?
Exercises:
▶ Greeks management for an energy portfolio of an energy
producer.
▶ Power options (estimate the Greeks of the individual
assets as well as the Greeks of the overall position; over
three moments in time: now, a week before expiration, as
well as at expiration).
Session 8:
Managing Greeks in large portfolios
– Part 2
▶ Management of an integrated portfolio of options
▷ Calculate (or estimate) the Greeks
▷ Create a matrix which incorporates both:
▪ Scenario analysis, and
▪ Sensitivity analysis
Exercise:
Analysis of a portfolio of power options
5. LEADERLEADERLEADERCOURSELEADER
Jerry de Leeuw founded
Mercurious in 2004, when
many gas & electricity
markets in Europe were
liberalized. After completing
his study in Economics in
1995 he became a Market
Maker on the trading-
floor of the European
Option Exchange (EOE) in
Amsterdam.
He was employed by Curvalue on EOE, Amsterdam
Exchanges (AEX) and Euronext. In 1999 he
established his own Market Maker company, which
was licensed under the supervisory body AFM.
This firm became a Member of Euronext Liffe, and
had clearing-contracts with Fortis, KBC bank and
Goldman Sachs. Over the years, Jerry has traded
by open out-cry on the floors of various exchanges
and has a great deal of experience in screen-based
trading. He has extensive experience in a variety of
products, (amongst others) ranging from stocks, FX
and commodities to futures, options and structured
products. He is also author of the books ‘Milkshakes
& Butterflies’, ‘Hit & Lift’ and ‘Energy problems &
future perspective’
JERRY DE LEEUW
Managing Director Mercurious
Jerry de Leeuw founded
Mercurious in 2004, when
many gas & electricity
markets in Europe were
liberalized. After completing
his study in Economics in
1995 he became a Market
Maker on the trading-
floor of the European
Option Exchange (EOE) in
Amsterdam.
Reviews from the last
Real Options course:
“I have now a better understanding of Risk Management
activities”
Edison Trading
“I am now able to hedge the portfolio better”
Edison Trading
“Very good electronic exercises”
Dong Energy
6. LANGUAGE
The workshop will be delivered in English.
DATE
28-29 October, 2013, Amsterdam, The Netherlands
SCHEDULE
Each day starts at 09.00 and finishes at 17.00hrs.
REGISTRATION
http://www.energy-expert-network.com/courses
E-mail: Johanna.oberg@energy-expert-network.com
Phone:+46 (0) 85 333 2599
FEES
Early Bird 2061€ (register before 18 september)
+ Dutch VAT
Standard price 2490€ + Dutch VAT
MULTIPLE REGISTRATION DISCOUNT
Register two or more people from the same company
and get a 10% discount per person.
FOOD AND BEVERAGE
Food and beverages will be provided to the
participants during the day. Specific wishes can be
submitted to the organization.
DOCUMENTATION
Participants receive documentation, calculations and
exercises in a manual.
ABOUT THE ORGANIZERS
ENERGY EXPERT NETWORK
The Energy Expert Network is a network of experts
and hands-on energy market participants that provides
companies with tailored courses.
The Energy Expert Network consists of the ‘best of the
best’ industry experts, well known for their knowledge and
experience in teaching energy industry professionals. Energy
Expert Network also provide open courses on fixed dates in
co-operation with external experts.