Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

Please note that all times are shown in the time zone of the conference. The current conference time is: 20th May 2024, 07:26:08am CEST

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Session Overview
Session
Session 6: Trading
Time:
Friday, 19/Jan/2024:
11:00am - 12:30pm

Session Chair: Jérôme Dugast, Universite Paris Dauphine - PSL

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Presentations

Intermediary Balance Sheet Constraints, Bond Mutual Funds’ Strategies, and Bond Returns

Martin Waibel1, Mariassunta Giannetti1,4,5, Chotibhak Jotikasthira2, Andreas Rapp3

1Stockholm School of Economics, Sweden; 2Southern Methodist University's Cox School of Business, United States of America; 3Federal Reserve Board of Governors, United States of America; 4CEPR; 5ECGI

Discussant: Alexey Ivashchenko (VU Amsterdam)

We show that after the introduction of leverage ratio constraints on bank-affiliated dealers, bond mutual funds have engaged in more liquidity provision in investment-grade corporate bonds and that the performance of funds with liquidity-supplying strategies has benefited. Not only have regulations transferred profits associated with liquidity provision in the corporate bond market to mutual funds, but the liquidity and returns of investment-grade corporate bonds have become more exposed to redemptions from the bond mutual fund industry, suggesting that the regulations may have made investment-grade corporate bonds more volatile. Accordingly, we observe that investment-grade corporate bonds more exposed to leverage ratio constraints experienced a more severe deterioration in liquidity and returns at the onset of the COVID-19 pandemic.

Waibel-Intermediary Balance Sheet Constraints, Bond Mutual Funds’ Strategies, and Bond Returns-155RappAndreasW.pdf


Imputing Mutual Fund Trades

Dion Bongaerts1, Jean-Paul van Brakel1,2, Mathijs van Dijk1, Joop Huij1,2

1Erasmus University, The Netherlands; 2Robeco Institutional Asset Management, The Netherlands

Discussant: Alexandru Barbu (INSEAD)

We propose a novel method to impute daily mutual fund trades in individual stocks from daily stock prices and returns and quarterly fund holdings, monthly total net assets and daily fund returns -- so that the method can be applied to standard CRSP mutual fund data. We set up an (underidentified) system of linear equations and solve the underidentification issue with an iterative method that applies random and adaptive constraints on trade incidence. The method produces daily, stock-level trade estimates with associated confidence levels. Validation and simulation analyses using proprietary daily fund trading data show good accuracy, especially for larger trades.

Bongaerts-Imputing Mutual Fund Trades-170van BrakelJean-Paulvan Brakel.pdf