Do not try to beat the market Be prepared KYOS software adds value - - PowerPoint PPT Presentation

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Do not try to beat the market Be prepared KYOS software adds value - - PowerPoint PPT Presentation

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


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Do not try to beat the market… Be prepared

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Budgets, contracts, inventory & market prices SAP looks back, used for invoicing & control KYOS looks forward

  • Hedge strategies
  • Cash flows
  • Positions
  • Risks

Focus on changes

  • Unforeseen
  • Foreseen

KYOS software adds value to the chain

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Example companies with KYOS software

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  • 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)

Common factor: “price reference – indexation ”

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Annual Report – 2018 - Michelin

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Worldbank Historical Price Indexes

LME = Hong Kong Exchanges CBOT = CME Group EEX

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Risk Policy leads to a Risk Cycle

Production / Budget / Sales Risk Management Energy Consumption Forecast Energy Costs Commodity Exposure – Price Risk

Risk Cycle

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Expected Commodity Consumption

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Starting point: Budget and Risk Tolerance

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From Consumption to “To be hedged”

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Exposure minus Financial Hedges = Residual Risk

10 Mind you….Residual risk is different then the hedging strategy

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Hedge overview : “To be hedged today”

11 Underhedged Overhedged

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Hedge effects - Costs of a hedging program

12 MtM of Financial Hedges - embedded in the Physical Costs

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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)

Create a clear format of risk analysis

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Initial “quick scan” stress testing

What happens if prices rise with 10%

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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

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Value-at-Risk for Multiple commodities

10 day VaR in EUR

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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

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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

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Cash flow-at-Risk = Long Term Risk Assessment

Monte Carlo price simulation engine embedded

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CfaR is used for Long term risk assesments

Price simulations are a first step towards cash flow simulations Some markets (like TTF) have “seasonality”

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KYOS analytics…..Your advantage

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Zoom in on individual commodities

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What is your Risk Tolerance ?

Costs at current market prices versus simulated market prices Your risk appetite or tolerance determines the hedging strategy

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Adjust your strategy…..lower your risk

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Mark-to-Market: physical and financial

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Zoom in : MtM of Aluminium

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Overall effect:

  • Consistency & transparancy

For whom:

  • Procurement - Sales - Finance & Treasury

Measurable effect:

  • Uncertainty translated into EUR

Realized business values

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KYOS

+31 23 5510 221 www.kyos.com info@kyos.com

Thank you