Dynamic Portfolio Selection Methods for Power Generation Assets

FCN Working Paper No. 16/2011

53 Pages Posted: 20 Mar 2015

See all articles by Barbara Glensk

Barbara Glensk

RWTH Aachen University

Reinhard Madlener

RWTH Aachen University

Date Written: November 1, 2011


In this paper we start off by reviewing the literature on how to extend the mean-variance portfolio model to multi-stage portfolio problems. We then apply a multi-period portfolio selection model to power generation assets, which is based on a reallocation methodology with scenario tree. Two solution approaches are used: the multi-period rebalancing model and the global solution one. These approaches are contrasted with the efficient frontier obtained for a "buy-and-hold policy", thus helping to illustrate the effect of portfolio dynamization. The study covers all major electricity generation technologies in Germany and investigates the impact of offshore wind and solar power plants on existing power generation portfolios. We find that solar power technology has a positive impact on the efficiency of the portfolios, and the analysis underlines the advantages of using a multi-period rebalancing model for decision-making.

Keywords: multi-period portfolio optimization, power generation portfolio, dynamic model

Suggested Citation

Glensk, Barbara and Madlener, Reinhard, Dynamic Portfolio Selection Methods for Power Generation Assets (November 1, 2011). FCN Working Paper No. 16/2011, Available at SSRN: https://ssrn.com/abstract=2580252 or http://dx.doi.org/10.2139/ssrn.2580252

Barbara Glensk (Contact Author)

RWTH Aachen University ( email )

Templergraben 55
52056 Aachen, 52056

Reinhard Madlener

RWTH Aachen University ( email )

School of Business and Economics / E.ON ERC
Mathieustra├če 10
Aachen, 52074
+49 241 80 49 820 (Phone)
+49 241 80 49 829 (Fax)

HOME PAGE: http://www.eonerc.rwth-aachen.de/fcn

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