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Portfolio Management and Stochastic Optimization in Discrete Time: An Application to Intraday Electricity Trading and Water Values for Hydroassets

In: Operations Research Proceedings 2015

Author

Listed:
  • Simone Farinelli

    (University of Torino
    Core Dynamics GmbH)

  • Luisa Tibiletti

    (University of Torino
    Core Dynamics GmbH)

Abstract

Hydro storage system optimization is becoming one of the most challenging task in Energy Finance. Following the Blomvall and Lindberg (2002) interior point model, we set up a stochastic multiperiod optimization procedure by means of a “bushy” recombining tree that provides fast computational results. Inequality constraints are packed into the objective function by the logarithmic barrier approach and the utility function is approximated by its second order Taylor polynomial. The optimal solution for the original problem is obtained as a diagonal sequence where the first diagonal dimension is the parameter controlling the logarithmic penalty and the second is the parameter for the Newton step in the construction of the approximated solution. Optimimal intraday electricity trading and water values for hydroassets are computed. The algorithm is implemented in Mathematica.

Suggested Citation

  • Simone Farinelli & Luisa Tibiletti, 2017. "Portfolio Management and Stochastic Optimization in Discrete Time: An Application to Intraday Electricity Trading and Water Values for Hydroassets," Operations Research Proceedings, in: Karl Franz Dörner & Ivana Ljubic & Georg Pflug & Gernot Tragler (ed.), Operations Research Proceedings 2015, pages 631-636, Springer.
    • Handle: RePEc:spr:oprchp:978-3-319-42902-1_85
    DOI: 10.1007/978-3-319-42902-1_85
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    More about this item

    JEL classification:

    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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