Published November 2017
| Published
Journal Article
Open
Call Market Experiments: Efficiency and Price Discovery through Multiple Calls and Emergent Newton Adjustments
- Creators
-
Plott, Charles R.
-
Pogorelskiy, Kirill
Chicago
An error occurred while generating the citation.
Abstract
We study multiple-unit, laboratory experimental call markets in which orders are cleared by a single price at a scheduled "call." The markets are independent trading "days" with two calls each day preceded by a continuous and public order flow. Markets approach the competitive equilibrium over time. The price formation dynamics operate through the flow of bids and asks configured as the "jaws" of the order book with contract execution featuring elements of an underlying mathematical principle, the Newton-Raphson method for solving systems of equations. Both excess demand and its slope play a systematic role in call market price discovery.
Additional Information
© 2017 American Economic Association. We thank Skylar Cook and Megan Cutrofello, and other students in the Caltech experimental economics class who actively participated in this project in the beginning and contributed to the experimental design. We are grateful to Brian Merlob for helping us monitor the experimental sessions and recording the demonstration video. We express our warm thanks to Pablo Beker, Paul Brewer, Tim Cason, Stefano DellaVigna, David Eil, Dan Friedman, Ben Gillen, Dan Levin, Tibor Neugebauer, Andrew Oswald, Stefan Palan, Tom Palfrey, Charles Sprenger, Rakesh Vohra, Bill Zame, and participants of the 2014 Santa Barbara Conference on Experimental and Behavioral Economics and 2015 Econometric Society World Congress for useful comments. We acknowledge the financial support of the Caltech EEPS laboratory. The authors declare that they have no relevant or material financial interests that relate to the research described in this paper. The laboratory experiments received Institutional Review Board approval from Caltech.Attached Files
Published - mic.20150201.pdf
Files
mic.20150201.pdf
Files
(828.8 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:fb0519a3565c87888ad59105998101fa
|
828.8 kB | Preview Download |
Additional details
- Eprint ID
- 83279
- Resolver ID
- CaltechAUTHORS:20171117-080555217
- Caltech
- Created
-
2017-11-20Created from EPrint's datestamp field
- Updated
-
2021-11-15Created from EPrint's last_modified field