Comments on Damsgaard et al. ”Exercise of Market Power in the Nordic Power Market” Olli Kauppi HSE, HECER Overview • Did power companies exercise market power in the Nordic market in 2001-06? • A study of price-cost margins in the Nordic market in 2001, 2002-03 and 2006 • Water values computed using ECON BID – a detailed market simulation model • Comparison of simulated price and output paths to the observed behavior • Simulated prices generally below observed prices -> no conclusive evidence of market power Main comments • Observed prices almost always below simulated. Explanation? – Actual hydro use higher than simulated during the sample periods • • • – Costs of thermal sector overestimated • • • From which periods does this water come from? Extend sample periods: there must be scarcity sometime Report total hydro and thermal output Possible cause: use of average availabilities Test by plotting predicted prices using observed thermal generations levels The Four-Week-Perfect-Foresight – – Leads to more storage in the Fall and to emptier reservoirs in the Spring Could you compute inflow expectations weekly and the other expectations monthly? • Presentation of the results: – Figures 7,9,11: observed demand = total generation + net trade – There can’t be much difference in model predictions and observed outputs – the only difference is the amount of trade – Hydro/thermal division more interesting than country level total outputs – Replace figures with comparison of actual and predicted hydro output paths – Add a figure on reservoir levels (at least for 2002-03) • Presentation of the results II: – averaging mark-ups over the sample periods seriously underestimates the margins (and overestimates model accuracy) in the periods when market power actually kicks in – report only average positive (or negative) mark-ups, average absolute deviations or concentrate on changes in profits – report also some statistics on the hourly prices • Interpretation: – intro: ”lasting and large price-cost mark-ups would be a strong indication of market power” – results: 20-50% mark-ups for many months – how is ”lasting and large” defined – especially if combined with overestimated marginal costs – if mark-ups can be explained by differences in expectations, then you should experiment with the expectations Minor comments • Discuss the benefits of the DCR/DCS approach • Is there a reference for the method? • The reservoir space is confusing: – is there a single reservoir or several reservoirs (that you keep track of)? – how does the distribution of water values relate to this issue? – how is the distribution of water values reflected in area prices? • Discounting? • Minimum level of reservoirs? • What kind of stochastic process do you assume for fuel prices, nuclear availability, demand etc.?
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