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Nolwenn Allaire

17 September 2025
WORKING PAPER SERIES - No. 3113
Details
Abstract
Using the secured transactions recorded within the Money Markets Statistical Reporting database of the European Central Bank, we test several stylized facts regarding the interbank market of the 47-largest banks in the eurozone. We observe that the surge in the volume of traded evergreen repurchase agreements followed the introduction of the LCR regulation and we measure a rate of collateral re-use consistent with the literature. Regarding the topology of the interbank network, we confirm the high level of network stability but observe a higher density and a higher in– and out–degree symmetry than what is reported for unsecured markets.
JEL Code
E42 : Macroeconomics and Monetary Economics→Money and Interest Rates→Monetary Systems, Standards, Regimes, Government and the Monetary System, Payment Systems
E51 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Money Supply, Credit, Money Multipliers
E52 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Monetary Policy
G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
G28 : Financial Economics→Financial Institutions and Services→Government Policy and Regulation
14 November 2023
WORKING PAPER SERIES - No. 2874
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Abstract
Using security-by-security data on investor holdings in the euro area, we study run dynamics across different fund-shares of the same fund during the unprecedented liquidity crisis in March 2020. For an average bond or equity mutual fund-share, households, other euro area funds, and the foreign sector each represent about a quarter of the total holdings. Insurance companies hold another 14%, with all other investors combined (banks, non-financial corporations, pension funds, etc.) accounting for less than 10% of holdings. Analyzing bond funds, we show that fund-shares with higher ownership by other funds suffered substantially higher outflows (by 6 percentage points), while fund-shares with higher ownership by households had substantially lower outflows (by 5 percentage points) compared to the other fund-shares within the same fund. This gap is not driven by time-varying differences in fund performance. Results for equity funds are similar, although they faced substantially smaller outflows, coupled with much larger declines in performance, compared to bond funds. Our findings suggest that a collective “dash for cash” by consumers and firms in need of liquidity at the outset of the COVID-19 pandemic was not the source of mutual fund fragility. Instead, the most run-prone investor type turned out to be the fund sector itself.
JEL Code
G01 : Financial Economics→General→Financial Crises
G10 : Financial Economics→General Financial Markets→General
G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
G23 : Financial Economics→Financial Institutions and Services→Non-bank Financial Institutions, Financial Instruments, Institutional Investors