Financial Market Frictions and Learning from the Stock Price

2019 ◽  
Author(s):  
Dominik Rösch ◽  
Avanidhar Subrahmanyam ◽  
Mathijs A. Van Dijk
2019 ◽  
Vol 109 (7) ◽  
pp. 2446-2468 ◽  
Author(s):  
Tse-Chun Lin ◽  
Qi Liu ◽  
Bo Sun

We study the effect of financial market frictions on managerial compensation. We embed a market microstructure model into an otherwise standard contracting framework, and analyze optimal pay-for-performance when managers use information they learn from the market in their investment decisions. In a less frictional market, the improved information content of stock prices helps guide managerial decisions and thereby necessitates lower-powered compensation. Exploiting a randomized experiment, we document evidence that pay-for-performance is lowered in response to reduced market frictions. Firm investment also becomes more sensitive to stock prices during the experiment, consistent with increased managerial learning from the market. (JEL D83, G12, G14, G32, G34, M12, M52)


2020 ◽  
Author(s):  
Ken-Ichi Hashimoto ◽  
Ryonghun Im ◽  
Takuma Kunieda ◽  
Akihisa Shibata

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