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Manipulation in Conditional Decision Markets

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Abstract

Conditional decision markets concurrently predict the future and decide on it. These markets price the impact of decisions, conditional on them being executed. After the markets close, a principal decides which decisions are executed based on the prices in the markets. As some decisions are not executed, the respective outcome cannot be observed, and the markets predicting the impact of non-executed decisions are void. This allows ex-post costless manipulation of such markets. We conduct two versions of an online experiment to explore scenarios in which a principal runs conditional decision markets to inform her choice among a set of a risky alternatives. We find that the level of manipulation depends on the simplicity of the market setting. When a trader is alone, has the power to move prices far enough, and the decision is deterministically tied to market prices or a very high correlation between prices and decision is implied, only then manipulation occurs. As soon as another trader is present to add risk to manipulation, manipulation is eliminated. Our results contrast theoretical work on conditional decision markets in two ways: First, our results suggest that manipulation may not be as meaningful an issue. Second, probabilistic decision rules are used to add risk to manipulation; when manipulation is not a meaningful issue, deterministic decisions provide the better decision with less noise. To the best of our knowledge, this is the first experimental analysis isolating the effects of the conditional nature of decision markets.

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Notes

  1. Comparing Tables 2 and 6, the absolute pricing error in the RANDOM treatment appears to be higher in Experiment 2 as compared to Experiment 1. We suspect that this might reflect the higher complexity and anxiety of having an opponent and a clock in Experiment 2.

  2. A good example of this is the American Civics Exchange which trades on political outcomes for real cash prizes. They are not conditional decision markets, but since they freeze their market once per month and provide prizes based on the performance of the participants with the current prices, they are subject to a very similar form of manipulation. In their first month they found out that traders were manipulating prices just under the deadline, which would only work if no other trader had time to counter and take the free money (in expectation). Thus, they switched to a random, unannounced, closing time on the announced final day: http://www.amciv.com/rules/.

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Correspondence to Florian Teschner.

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Teschner, F., Rothschild, D. & Gimpel, H. Manipulation in Conditional Decision Markets. Group Decis Negot 26, 953–971 (2017). https://doi.org/10.1007/s10726-017-9531-0

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