2019
DOI: 10.1016/j.jfineco.2018.08.002
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RETRACTED: Common risk factors in the cross-section of corporate bond returns

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Cited by 337 publications
(173 citation statements)
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“…The returns of the (I)TBs that move to states with higher trading frequency are about 12 basis points per month higher compared to the (I)TBs that stay in the same trading frequency state. We show that the exposure to Bai, Bali, and Wen (2018) risk factors does not explain these returns. Abnormal excess returns of the (I)TBs jumping to higher trading frequency states are of the same magnitude and statistically significant.…”
Section: Introductionmentioning
confidence: 61%
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“…The returns of the (I)TBs that move to states with higher trading frequency are about 12 basis points per month higher compared to the (I)TBs that stay in the same trading frequency state. We show that the exposure to Bai, Bali, and Wen (2018) risk factors does not explain these returns. Abnormal excess returns of the (I)TBs jumping to higher trading frequency states are of the same magnitude and statistically significant.…”
Section: Introductionmentioning
confidence: 61%
“…In Chapter V we work with bond returns that are recognized using Bai et al (2018) approach. First, we calculate volume-weighted daily (dirty) prices from the tick-by-tick TRACE data.…”
Section: Data and Measurementsmentioning
confidence: 99%
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“…To clean the raw data of TRACE, I use the code provided by Jens Dick-Nielsen on his website and follow Edwards, Harris, and Piwowar (2007) in addition to reach the full set of trade-volume weighted transaction prices (clean prices that exclude accrued interests) from July, 2002 to the end of year 2015. 45 With the clean prices of bond transactions, I locate month-end prices for each security, following Bai, Bali, and Wen (2018). In the processed TRACE sample, for each security at each quarter end, I keep the 8-digit CUSIP, quarter-end price, and the month-end prices for the next 12 months.…”
Section: Graphical Illustrationmentioning
confidence: 99%
“…49 Bonds that mature within one year are subject to price fluctuation that is independent of their fundamentals, i.e., due to institutional investors' preference. See Bai et al (2018) for detailed discussions.…”
Section: Data Compilationmentioning
confidence: 99%