A Structural Analysis of Price Discovery Measures
By Bingcheng Yan, Eric Zivot. 2010
249 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Finance
View Paper: https://www.semanticscholar.org/paper/dba0ab8c6d1686efd09d11dba5ccb84d7f9b8eb8
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Brian M. Lucey
- Shaen Corbet
- Carole Comerton-Forde
- Samuel A. Vigne
- Maurice Peat
- Tālis J. Putniņš
- L. Yarovaya
- Andrew Urquhart
In Finance
- Carole Comerton-Forde
- Brian M. Lucey
- Samuel A. Vigne
- Shaen Corbet
- Maurice Peat
- Tālis J. Putniņš
- A. H. Dyhrberg
Citations in the corpus
- Bitcoin Futures—What use are they? (2018, background): “An early analysis of Bitcoin by Yermack [2015] concluded that it was not a currency but rather a speculative asset.”
- What Do Price Discovery Metrics Really Measure (2013, methodology): “Furthermore, the need to convert prices of different contracts or asset classes so that they would be comparable also creates noise that differs across the price series.”
- Dark Trading and Price Discovery (2015, background): “As pointed out by Yan and Zivot (2010) and Putniņš (2013), both metrics measure (with different weights) a combination of two dimensions of market efficiency: (i) timeliness in impounding of new information; and (ii) avoidance of transitory shocks.”