Platts 3rd Annual European Crude Oil Markets Keynote by Eldon Klaassen May 2010
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This document discusses how Allegro Development Corporation optimizes market data to manage risk in crude oil markets. It outlines Allegro's trading and risk management software capabilities including automated data validation, forward curve creation, volatility and correlation analysis, option valuation for financial and physical options, and profit and loss attribution. The software utilizes a variety of data sources and models to value complex derivatives and analyze market, basis, credit, liquidity, and other risks.
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Similar to Platts 3rd Annual European Crude Oil Markets Keynote by Eldon Klaassen May 2010 (20)
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【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信：A575476】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信：A575476】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
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2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
→ 【关于价格问题（保证一手价格）
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
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Innovation Management Frameworks: Your Guide to Creativity & Innovation
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https://www.oeconsulting.com.sg/training-presentations]
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Platts 3rd Annual European Crude Oil Markets Keynote by Eldon Klaassen May 2010
- 1. Optimizing market data to manage risk in crude oil markets EldonKlaassen CEO 5/27/2010
- 3. 2008 Energy Business Awards “Gold Award for Excellence in Energy Technology”
- 4. Serving more than 100 global customers for over 26 years
- 5. Office locations in London, Zurich, Singapore, Calgary, Houston, & DallasPetroleum Coal Power Natural Gas 5/27/2010
- 6. Optimizing market data 5/27/2010
- 8. Exchange prices
- 9. Broker quotes
- 10. Currency exchange
- 11. Interest rates
- 12. Credit ratings
- 13. Tariffs
- 15. Production costs
- 16. Refinery spreads
- 17. Credit historyTrading & Risk Management System
- 19. Source variance
- 20. Time horizon variance
- 22. Manual corrections
- 23. Automated corrections5/27/2010
- 25. Basis differentials-net back/net forward
- 27. Historical simulation
- 29. Scope of historical price behavior
- 30. Deviation of forward curve assumptions5/27/2010
- 31. Volatility and correlation Volatility Volatility indexes—logical groupings Historical volatility, implied volatility Volatility smiles, skew Correlations Historical correlation Seasonal effects Liquidity effects
- 32. Market metrics Linear positions Simple market valuation and mark to market Non-linear positions: What is an option worth? Option models Differential equation approach (Black-Scholes) Stochastic calculus approach Option valuation methodology Single model for all instruments Model values complex physical options with all of the necessary constraints Option valuation Time value, intrinsic value Sensitivities Delta, gamma, theta, vega, rho
- 33. Option Valuation: Financial Options Exchange traded options NYMEX, ICE, DME OTC Financial options Market price options Spread options Multiple asset options Strips of options Lookback options Calendar spreads Compound options
- 34. Option Valuation: Physical Options Pricing Floors and caps Price triggers Logistics Vessel loading tolerance Take or pay contracts Time charters Inventory and storage Crude oil injection and withdrawal
- 35. Option Valuation: Exercise & Constraints Physical options tend to have complex exercise Frequency of exercise Number of exercises Quantity of exercise Physical options tend to have constraints Physical limitations Minimum and maximum operational quantities Contractual limits
- 38. Average price over time period (Asian)
- 41. Estimation of correlation coefficients5/27/2010
- 45. Differential swaption volatility is a function to expiration date
- 47. Construct two independent trees in these new variables
- 48. Use the inverse transformation for a three-dimensional tree for the swaps forward5/27/2010
- 49. Profit and Loss Attribution 5/27/2010
- 50. Profit and Loss Attribution 5/27/2010
- 51. Market and basis risk Exposure disaggregation Mark to market Value at risk 5/27/2010
- 52. Credit risk Counterparty disaggregation Potential Future Exposure Credit Value at Risk 5/27/2010
- 53. Liquidity risk Cash flow disaggregation Margin requirements Cash flow at risk 5/27/2010
- 54. Simulation What if market variables change? Quantity Price Basis Volatility Correlation Currency Transactions How will they change? Linear shift Parallel/rotational shift Absolute/relative shift Stochastic shift
- 55. Optimizing market data 5/27/2010
- 56. Optimizing market data to manage risk in crude oil markets EldonKlaassen CEO 5/27/2010