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Dr Harvey Stern,

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Title: Dr Harvey Stern,


1
  • Dr Harvey Stern,
  • Climate Manager, Victoria
  • and

Griffith University
Mr Glen Dixon, Associate Lecturer (Finance),
Brisbane
2
Australian Agricultural and Resource Economics
Society, Queensland Branch Brisbane (DPI),
Friday 27 September 2002
Pricing Weather Derivatives in the Australian
Agricultural Market
3
Introduction
  • Evidence of the challenge faced by the
    meteorological community to become skilled in
    applying risk management products from financial
    markets is growing.
  • An empirical approach to the pricing of
    weather derivatives is presented. The approach is
    illustrated with several examples with focus on
    Agriculture.

4
Outline of Presentation
  • The increasing focus on weather risk.
  • Weather in company reports.
  • Mitigating weather risk.
  • New developments.
  • Quantifying uncertainty in forecasts.
  • Ensemble forecasting.

5
Background
  • Weather risk is one of the biggest uncertainties
    facing business.
  • We get droughts, floods, fire, cyclones
    (hurricanes), snow ice.
  • Nevertheless, economic adversity is not
    restricted to disaster conditions.
  • A mild winter ruins a skiing season, dry weather
    reduces crop yields, rain shuts-down
    entertainment construction.

6
Weather Climate Forecasts
  • Daily weather forecasts may be used to manage
    short-term risk (e.g. pouring concrete).
  • Seasonal climate forecasts may be used to manage
    risk associated with long-term activities (e.g.
    sowing crops).
  • Forecasts are based on a combination of solutions
    to the equations of physics, and some
    statistical techniques.
  • With the focus upon managing risk, the forecasts
    are increasingly being couched in probabilistic
    terms.

7
First Weather Derivative in Australia
  • It is the energy and power industry that has,
    so far, taken best advantage of the opportunities
    presented by weather derivatives.
  • Indeed, the first weather derivative contract
    was a temperature-related power swap transacted
    in August 1996.

8
First Weather Derivative Payout in Australia (1)
  • Two temperature-based options contracts, which
    are claimed as Australias first weather
    derivatives deals, expired at the end of March
    1998 with a pay-out for the purchasing party.
  • US Electric Utility Utilicorp sold the options to
    United Energy Marketing in late January, with a
    profit for United if during February and March
    temperatures hit
  • 35 deg C or above on 5 days or more in
    Melbourne, Victoria or 33 deg C or above on 3
    days or more in Sydney, News South Wales.
  • Source Energy and Power Risk Management
    June, 1998

9
First Weather Derivative Payout in Australia (2)
  • By the end of March, temperatures had hit the
    required level on 5 different days in Sydney, and
    6 days in Melbourne, triggering payouts.
  • Alan Rattray, VP of International Risk Management
    of Utilicorp Australia said the Sydney contract
    returned eight times the premium paid.
  • Source Energy and Power Risk Management
    June, 1998

10
Weather Derivatives Defined
  • Clewlow et al...(2000) describe weather
    derivatives as being similar "to conventional
    financial derivatives, the basic difference
    coming from the underlying variables that
    determine the pay-offs", such as temperature,
    precipitation, wind, heating degree days, and
    cooling degree days.

11
Weather Derivatives
  • Weather derivatives are similar to conventional
    financial derivatives.
  • The basic difference lies in the underlying
    variables that determine the pay-offs.
  • These underlying variables include temperature,
    precipitation, wind, and heating ( cooling)
    degree days as described by Clewlow and
    Strickland.

12
Pricing Methodologies
  • Historical simulation (look at examples using
    this technique).
  • Direct modeling of the underlying variables
    distribution.
  • Indirect modeling of the underlying variables
    distribution (via a Monte Carlo technique as this
    involves simulating a sequence of data).
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