2020
DOI: 10.1016/j.jbankfin.2017.12.009
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Too big to ignore? Hedge fund flows and bond yields

Abstract: This paper investigates the information content of aggregate hedge fund flow and its predictive power with respect to bond yields. Using a sample of 9,725 hedge funds from 1994 to 2012, we find that fund flow is negatively related to the changes in 10-year Treasury and Moody's Baa bond yields one month ahead. The relation is still pronounced after controlling for other determinants of yield changes, including the amount of arbitrage capital available in the economy, suggesting a non-trivial effect of flow-indu… Show more

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Cited by 12 publications
(12 citation statements)
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“…The correlation coefficient is shown between the average monthly return, dollar fund flow, management fee, mutual fund age, government bond indexes, and the TSX index. The dollar fund flow forms a weak positive correlation with the 10Y and 3 M government bond indexes (0.001 vs. 0.006) and is deemed to be statistically significant, contrary to the findings of Kolokolova et al (2020). Although the coefficients are minuscule and point to no correlation, this result suggests that, as dollar fund flow increases for fixed income mutual funds, long-and short-term government yields also increase.…”
Section: Data and Empirical Resultscontrasting
confidence: 62%
See 3 more Smart Citations
“…The correlation coefficient is shown between the average monthly return, dollar fund flow, management fee, mutual fund age, government bond indexes, and the TSX index. The dollar fund flow forms a weak positive correlation with the 10Y and 3 M government bond indexes (0.001 vs. 0.006) and is deemed to be statistically significant, contrary to the findings of Kolokolova et al (2020). Although the coefficients are minuscule and point to no correlation, this result suggests that, as dollar fund flow increases for fixed income mutual funds, long-and short-term government yields also increase.…”
Section: Data and Empirical Resultscontrasting
confidence: 62%
“…In the dataset, values associated with monthly return, total net assets, and management expense ratio (MER) account for a large quantity of extreme outliers. Therefore, following Kolokolova et al (2020), we winsorize the lower and upper 1% to reduce the influence of any extreme values. Summary statistics for the fixed income mutual fund and bond yields are provided in Table 1.…”
Section: Data and Empirical Resultsmentioning
confidence: 99%
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“…Especially after the financial crisis of 2008 and the European debt crisis of 2010, credit information has been more attractive to market participants. Investors demand trading strategies to hedge credit risk, and regulators are anxious to control credit risk contagion [4][5][6]. Credit risk refers not only to default risk [7][8][9], but also to credit rating migration risk [10][11][12], where the latter has received more and more attention.…”
Section: Introductionmentioning
confidence: 99%