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Bubble Formation and (In)Efficient Markets in Learning‐to‐forecast and optimise Experiments
Author(s) -
Bao Te,
Hommes Cars,
Makarewicz Tomasz
Publication year - 2017
Publication title -
the economic journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 4.683
H-Index - 160
eISSN - 1468-0297
pISSN - 0013-0133
DOI - 10.1111/ecoj.12341
Subject(s) - economics , economic bubble , price formation , asset (computer security) , value (mathematics) , econometrics , bubble , market price , financial economics , microeconomics , monetary economics , computer science , mathematics , statistics , computer security , parallel computing
This experiment compares the price dynamics and bubble formation in an asset market with a price adjustment rule in three treatments where subjects: (1) submit a price forecast only; (2) choose quantity to buy/sell and (3) perform both tasks. We find deviation of the market price from the fundamental price in all treatments, but to a larger degree in treatments (2) and (3). Mispricing is therefore a robust finding in markets with positive expectation feedback. Some very large, recurring bubbles arise, where the price is three times larger than the fundamental value, which were not seen in former experiments.

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