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This paper provides a comprehensive examination of money flows in corporate bond funds, which, although less researched, represent an important setting to study investor behavior. Based on a large sample of corporate bond funds over 1991–2014, we first show that flows are sensitive to both fund performance and macroeconomic conditions, but unlike equity funds, the flow–performance relationship is not convex. Then, we find that investor flows can predict fund performance. More importantly, the predictability cannot be explained by return momentum or price pressure but is subsumed by performance persistence. Finally, an examination of idiosyncratic flows reveals little evidence that fund investors use finer-than-public information. This paper was accepted by Lauren Cohen, finance .

This study examines the ability of government bond fund managers to time the bond market, based on their monthly or quarterly holdings of Treasury securities during the 1997-2006 period. We find that, on average, government bond funds exhibit significantly positive timing ability at the one-month horizon under an unconditional holdings-based timing measure. However, our results indicate that managers' actions based on public information can explain the documented positive timing ability-namely, the average government bond fund has neutral or even slightly negative conditional market timing ability once public information is controlled for. Nonetheless, we find evidence that fund managers specializing in Treasury securities can better interpret public information than general government bond fund managers do. This paper was accepted by Wei Xiong, finance.

Green bonds are similar to conventional bonds but are specifically earmarked to raise money to finance climate or environmental projects. There have been anecdotes of green bonds being priced tighter than similar conventional bonds by the same issuers. Our survey of academic literature indicates that most papers show the yield of a green bond is lower than that of the equivalent conventional bond at issuance (also known as green premium or greenium). However, green bond pricing studies by Climate Bonds Initiative produce mixed results. The conflicting results are likely explained by differences in sample selections, time periods, methodologies, and the properties of the respective issuing entity and the bond. In addition, we examine investment returns from select green bond funds and green bond indexes. The assets under management of those funds are still small and they underperform their benchmark indexes.

Variable annuity (VA) policies are typically issued on mutual funds invested in both fixed income and equity asset classes. However, due to the lack of specialized models to represent the dynamics of fixed income fund returns, the literature has primarily focused on studying long-term investment guarantees on single-asset equity funds. This article develops a mixed bond and equity fund model in which the fund return is linked to movements of the yield curve. Theoretical motivation for our proposed specification is provided through an analogy with a portfolio of rolling horizon bonds. Moreover, basis risk between the portfolio return and its risk drivers is naturally incorporated into our framework. Numerical results show that the fit of our model to Canadian VA data is adequate. Finally, the valuation of VAs is illustrated and it is found that the prevailing interest rate environment can have a substantial impact on guarantee costs.

The focus of this review is to exhibit a thorough analysis of prominent aspects in bond funds literature and their conceptual developments employing the trending bibliometric analysis. The study was conducted using the Scopus database, which found 354 scholarly documents during a 40-year period spanning from 1982 to 2021, revealing that the amount of research within these fields has a limited presence in the academic literature. The authors, the publications, thematic groups, distribution of keywords, country of publication, trends, and the papers most frequently cited are examined to get an explicit view of the extant research. Thus, the present review identifies the existing knowledge base, examines it, and demonstrates the visualizing patterns to capture the fact-based insight into trending themes in the amphitheater of bond funds. The review further explicitly identifies three research fronts, i.e. performance measures, risk approaches, and bond fund flows. Finally, the findings of the study would be a virtue for researchers, practitioners, and academicians to proceed to further explore the area for an overview of trends and their empirical investigation.

We present the first broad overview of the factors determining corporate bond fund success and failure in terms of performance and survival. We show that the main determinant of survival is size. Performance matters only for small funds while large funds survive unconditionally, consistent with maintaining fee revenues. We neither find persistence in performance nor diseconomies of scale. This is due to advantages of larger funds in corporate bond trading. Other fund and family characteristics are unrelated to performance and survival, contrasting previous finings in equity funds. Thus, there are similarities but also important differences between the factors determining success and failure on the corporate bond and equity fund markets.

While many studies have looked into the determinants of yields on externally issued sovereign bonds of emerging economies, analysis of domestically issued bonds has hitherto been limited, despite their growing relevance. This paper finds that the extent to which fiscal variables affect domestic bond yields in emerging economies depends on the level of global risk aversion. During tranquil times in global markets, fiscal variables do not seem to be a significant determinant of domestic bond yields in emerging economies. However, when market participants are on edge, they pay greater attention to country-specific fiscal fundamentals, revealing greater alertness about default risk.

We provide evidence that bond fund managers misclassify their holdings, and that these misclassifications have a real and significant impact on investor capital flows. The problem is widespread, resulting in up to 31.4% of funds being misclassifled with safer profiles, compared to their true, publicly reported holdings. \"Misclassified funds\"—those that hold risky bonds but claim to hold safer bonds—appear to onaverage outperform lower risk funds in their peer groups. Within category groups, misclassified funds receive more Morningstar stars and higher investor flows. However, when we correctly classify them based on actual risk, these funds are mediocre performers.

We document significantly lower inflows in female-managed funds than in male-managed funds. This result is obtained with field data and with data from a laboratory experiment. We find no gender differences in performance. Thus, rational statistical discrimination is unlikely to explain the fund flow effect. We conduct an implicit association test and find that subjects with stronger gender bias according to this test invest significantly less in female-managed funds. Our results suggest that gender bias affects investment decisions and thus offer a new potential explanation for the low fraction of women in the mutual fund industry. The internet appendix is available at https://doi.org/10.1287/mnsc.2017.2939 . This paper was accepted by Lauren Cohen, finance.

How do corporate bond mutual funds manage liquidity to meet investor redemptions? We show that during tranquil market conditions, these funds tend to reduce liquid asset holdings to meet redemptions, temporarily increasing relative exposures to illiquid asset classes. When aggregate uncertainty rises, however, they tend to scale down their liquid and illiquid assets proportionally to preserve portfolio liquidity. This fund-level dynamic management of liquidity appears to affect the broad financial market: Redemptions from the corporate bond fund sector lead to more corporate bond selling during high-uncertainty periods, which generates price pressures and predicts strong return reversals.