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Price Discovery in Interrelated Markets
Author(s) -
Lien Donald,
Shrestha Keshab
Publication year - 2014
Publication title -
journal of futures markets
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.88
H-Index - 55
eISSN - 1096-9934
pISSN - 0270-7314
DOI - 10.1002/fut.21593
Subject(s) - price discovery , swap (finance) , financial economics , process (computing) , economics , business , financial market , econometrics , computer science , finance , futures contract , operating system
In this study, we generalize the information share (IS) proposed by Hasbrouck (1995) and extended by Lien and Shrestha (2009). The new generalized information share (GIS) can be used to analyze the price discovery process in interrelated securities markets, whereas the previous two measures can only be applied to almost identical markets. Thus, using the GIS, we can analyze broader markets thereby improving our understanding of the price discovery process as well as the efficiency of securities markets. As an empirical demonstration of the proposed method, we apply the GIS to credit default swap (CDS) and bond markets, and find that for the majority of cases price discovery mostly takes place in the CDS markets. © 2012 Wiley Periodicals, Inc. Jrl Fut Mark 34:203–219, 2014