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Do not try to beat the market Be prepared KYOS software adds value to the chain Budgets, contracts, inventory & SAP looks back, used market prices for invoicing & control KYOS looks forward Focus on changes Hedge strategies


  1. Do not try to beat the market… Be prepared

  2. KYOS software adds value to the chain Budgets, contracts, inventory & SAP looks back, used market prices for invoicing & control KYOS looks forward Focus on changes • Hedge strategies • Unforeseen • Cash flows • Foreseen • Positions • Risks

  3. Example companies with KYOS software

  4. Common factor: “price reference – indexation ” • Chemical & Energy producers: - Gas, Coal, Oil, Carbon, Power + IR & FX • Beverage & Food: - Sugar, PalmOil, Corn, Packaging, Energy + IR & FX • Packaging & Waste: - Glass, Plastics, Aluminium, Steel, Energy + IR & FX • Financial Institutions: - IR (ECB Euribor) & FX (ECB EURUSD)

  5. Annual Report – 2018 - Michelin

  6. Worldbank Historical Price Indexes LME = Hong Kong Exchanges CBOT = CME Group EEX

  7. Risk Policy leads to a Risk Cycle Production / Budget / Sales Forecast Energy Costs Risk Energy Cycle Consumption Risk Management Commodity Exposure – Price Risk

  8. 8 Expected Commodity Consumption Starting point: Budget and Risk Tolerance

  9. 9 From Consumption to “To be hedged”

  10. 10 Exposure minus Financial Hedges = Residual Risk Mind you….Residual risk is different then the hedging strategy

  11. 11 Hedge overview : “To be hedged today” Underhedged Overhedged

  12. 12 Hedge effects - Costs of a hedging program MtM of Financial Hedges - embedded in the Physical Costs

  13. Create a clear format of risk analysis Cash flow based upon current prices (EUR 15.7 million) • Stress testing (volume and prices) • Value-at-Risk (VaR) • Cash flow-at-Risk (CfaR) Leading to a widely accepted Risk Policy (Risk Cycle)

  14. Initial “quick scan” stress testing What happens if prices rise with 10%

  15. Bring statistics into practise VaR : 5,000 MT Aluminium Annualized Volatility 21.99% * Underlying Price 1,945 USD/MT * Confidence-Level 95% *  Holding Period 10 days 10 day VaR USD 750,000

  16. Value-at-Risk for Multiple commodities 10 day VaR in EUR

  17. VaR is used for Short term risk assesments 10 day VaR • 95% chance costs will be lower than 16.9 million • This is not the maximum • 5% chance costs will be higher than 16.9 million Suggestion : Run a VaR analysis with different volatilities

  18. From short to long term risk assesments We calculated that a 10 day VaR is approximately EUR 1.2 million A budget forecast has to be given for e.g. 2019 and not for 10 days 2019 2020

  19. Cash flow-at-Risk = Long Term Risk Assessment Monte Carlo price simulation engine embedded

  20. CfaR is used for Long term risk assesments Price simulations are a first step towards cash flow simulations Some markets (like TTF) have “seasonality”

  21. KYOS analytics…..Your advantage

  22. Zoom in on individual commodities

  23. What is your Risk Tolerance ? Costs at current market prices versus simulated market prices Your risk appetite or tolerance determines the hedging strategy

  24. Adjust your strategy…..lower your risk 24

  25. Mark-to-Market: physical and financial

  26. Zoom in : MtM of Aluminium

  27. Realized business values Overall effect: • Consistency & transparancy For whom: • Procurement - Sales - Finance & Treasury Measurable effect: • Uncertainty translated into EUR

  28. Thank you KYOS +31 23 5510 221 www.kyos.com info@kyos.com

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