RT Journal Article
SR Electronic
T1 Liquidity—<em>How to Capture a Multidimensional Beast</em>
JF The Journal of Trading
FD Institutional Investor Journals
SP 21
OP 39
DO 10.3905/jot.2016.11.2.021
VO 11
IS 2
A1 Philip Sommer
A1 Stefano Pasquali
YR 2016
UL https://pm-research.com/content/11/2/21.abstract
AB Despite its importance, there currently exists no universally agreed upon and adopted measure or model that adequately captures cost and time to liquidation in bond (over-thecounter) markets. To fill this gap, we reviewed 40 years’ worth of research and summarize our findings in this article. We claim that the lack of concurrence on a definition can be attributed to the lack of consistent methodology. Connecting the dots within the vast body of literature, we find the key ingredients of such a novel measure: Taking market impact models as a natural starting point and adding the necessary math to quantify the inherent uncertainty of such a measure. We further suggest that machine learning methods are a natural candidate to overcome the main obstacles in this process, as they can help extract useful information from the extremely sparse data that form the main difference between equity and bond markets.TOPICS: Fixed income and structured finance, big data/machine learning