Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.798921
Title: Essays of inter-firm linkages and return predictability
Author: Zhang, Ran
ISNI:       0000 0004 8509 0534
Awarding Body: University of Edinburgh
Current Institution: University of Edinburgh
Date of Award: 2019
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Abstract:
In this thesis, I study whether stock returns are predictable. Specifically, I study whether the focal firm's linked partners or linked peers can forecast its future returns. The literature of return predictability has found that a lot of forecasting variables, which are mainly constructed by the focal firm's own characteristics, can predict its future returns, but the predictive power from explicitly or implicitly linked firms is not fully explored and understood. The study of interfirm return predictability has become an interesting and important research field, since it challenges current asset pricing theory and models. In this thesis, my research questions are whether inter-firm return predictability exists in the ownership network (namely one new "explicit" network) and whether it exists in the similar employee satisfaction network (namely one new "implicit" network). The overall contribution of the thesis is to find new evidence of return predictability in the inter-firm networks. These new inter-firm return predictabilities are not only an interesting practical fact with implications for investing and hedging, but also have essential implications for new asset pricing factors. In Chapter 2 and Chapter 3, I find the subsidiary-parent return predictability and parent-subsidiary return predictability in a global sample and different regional samples. In Chapter 4, I find that the returns of similar employeesatisfaction-linked firm peers have predictive power over focal firm returns. These results have important implications to call for a new asset pricing model that explicitly incorporates value-relevant information from various inter-firm networks.
Supervisor: Gonzalez, Angelica ; Boutchkova, Maria Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.798921  DOI: Not available
Keywords: information diffusion ; return predictability ; ownership network ; corporate network ; employee satisfaction linkage ; stock return predictability
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