The Limits of the Market-wide Limits of Arbitrage: Insights from the Dynamics of 100 Anomalies

Are anomalies strongest when limits of arbitrage are widely considered to be greatest? We empirically explore this theoretically deducted prediction. We first identify, categorize, and replicate 100 anomalies in the cross-section of expected equity returns. We then comprehensively study their dynami...

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Main Author: JACOBS, Hieiko
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2014
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Online Access:https://ink.library.smu.edu.sg/bnp_research/37
https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1036&context=bnp_research
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spelling sg-smu-ink.bnp_research-10362018-06-13T01:57:01Z The Limits of the Market-wide Limits of Arbitrage: Insights from the Dynamics of 100 Anomalies JACOBS, Hieiko Are anomalies strongest when limits of arbitrage are widely considered to be greatest? We empirically explore this theoretically deducted prediction. We first identify, categorize, and replicate 100 anomalies in the cross-section of expected equity returns. We then comprehensively study their dynamic interaction with popular proxies for time-varying market-level arbitrage conditions. Our findings reveal a surprisingly weak role of commonly employed measures of market-wide arbitrage risks and constraints. Even though this “big picture” evidence is by no means conclusive, our findings might potentially be best interpreted as supporting the growing literature which uncovers some shortcomings of the limits to arbitrage argument. 2014-01-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/bnp_research/37 https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1036&context=bnp_research http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection BNP Paribas Hedge Fund Centre eng Institutional Knowledge at Singapore Management University anomalies limits to arbitrage return predictability market frictions behavioral finance Corporate Finance Portfolio and Security Analysis
institution Singapore Management University
building SMU Libraries
country Singapore
collection InK@SMU
language English
topic anomalies
limits to arbitrage
return predictability
market frictions
behavioral finance
Corporate Finance
Portfolio and Security Analysis
spellingShingle anomalies
limits to arbitrage
return predictability
market frictions
behavioral finance
Corporate Finance
Portfolio and Security Analysis
JACOBS, Hieiko
The Limits of the Market-wide Limits of Arbitrage: Insights from the Dynamics of 100 Anomalies
description Are anomalies strongest when limits of arbitrage are widely considered to be greatest? We empirically explore this theoretically deducted prediction. We first identify, categorize, and replicate 100 anomalies in the cross-section of expected equity returns. We then comprehensively study their dynamic interaction with popular proxies for time-varying market-level arbitrage conditions. Our findings reveal a surprisingly weak role of commonly employed measures of market-wide arbitrage risks and constraints. Even though this “big picture” evidence is by no means conclusive, our findings might potentially be best interpreted as supporting the growing literature which uncovers some shortcomings of the limits to arbitrage argument.
format text
author JACOBS, Hieiko
author_facet JACOBS, Hieiko
author_sort JACOBS, Hieiko
title The Limits of the Market-wide Limits of Arbitrage: Insights from the Dynamics of 100 Anomalies
title_short The Limits of the Market-wide Limits of Arbitrage: Insights from the Dynamics of 100 Anomalies
title_full The Limits of the Market-wide Limits of Arbitrage: Insights from the Dynamics of 100 Anomalies
title_fullStr The Limits of the Market-wide Limits of Arbitrage: Insights from the Dynamics of 100 Anomalies
title_full_unstemmed The Limits of the Market-wide Limits of Arbitrage: Insights from the Dynamics of 100 Anomalies
title_sort limits of the market-wide limits of arbitrage: insights from the dynamics of 100 anomalies
publisher Institutional Knowledge at Singapore Management University
publishDate 2014
url https://ink.library.smu.edu.sg/bnp_research/37
https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1036&context=bnp_research
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