Table 12.

Prime MMF flows around the launch of the MMLF

Dependent variable: Daily fund percentage flow
 All prime MMFsInstitutional prime
 (1)(2)(3)(4)(5)
Flow
$$_{t-1}$$
0.236***0.217***0.163***0.215***0.102*
 (0.055)(0.052)(0.044)(0.058)(0.050)
MMLF0.864**–0.042 1.520** 
 (0.337)(0.167) (0.556) 
Institutional –1.295***–1.371***  
  (0.362)(0.388)  
MMLF
$$\times$$
Institutional
 1.638***1.704***  
  (0.504)(0.540)  
MMLF
$$\times$$
WLA
    –0.102**
     (0.036)
Adj.
$$R^2$$
.143.159.204.137.225
Obs.1,1541,1541,154647647
ControlsYesYesYesYesYes
Day FE  Yes Yes
Dependent variable: Daily fund percentage flow
 All prime MMFsInstitutional prime
 (1)(2)(3)(4)(5)
Flow
$$_{t-1}$$
0.236***0.217***0.163***0.215***0.102*
 (0.055)(0.052)(0.044)(0.058)(0.050)
MMLF0.864**–0.042 1.520** 
 (0.337)(0.167) (0.556) 
Institutional –1.295***–1.371***  
  (0.362)(0.388)  
MMLF
$$\times$$
Institutional
 1.638***1.704***  
  (0.504)(0.540)  
MMLF
$$\times$$
WLA
    –0.102**
     (0.036)
Adj.
$$R^2$$
.143.159.204.137.225
Obs.1,1541,1541,154647647
ControlsYesYesYesYesYes
Day FE  Yes Yes

The daily sample goes from March 9, 2020, to April 3, 2020. Columns 1–3 include both retail and institutional prime MMFs, while columns 4 and 5 only institutional funds. The dependent variable is the daily percentage change in fund AUM on day

$$t$$
, winsorized at the 0.5
$$\%$$
and 99.5
$$\%$$
levels.
$$Institutional$$
is a dummy equal to one for institutional prime funds.
$$MMLF$$
is a dummy equal to one from March 23 onward.
$$Flow_{t-1}$$
is the 1-day lag of the dependent variable. Controls are lagged variables including
$$WLA$$
, abnormal yield (in excess of cross-sectional average), safe holdings (Treasury and agency debt as share of fund AUM), risky holdings (CP and CDs), logarithms of fund size, expense ratio, bank affiliation dummy, and fund age. Standard errors (in parentheses) are two-way clustered at the fund and day levels.

Table 12.

Prime MMF flows around the launch of the MMLF

Dependent variable: Daily fund percentage flow
 All prime MMFsInstitutional prime
 (1)(2)(3)(4)(5)
Flow
$$_{t-1}$$
0.236***0.217***0.163***0.215***0.102*
 (0.055)(0.052)(0.044)(0.058)(0.050)
MMLF0.864**–0.042 1.520** 
 (0.337)(0.167) (0.556) 
Institutional –1.295***–1.371***  
  (0.362)(0.388)  
MMLF
$$\times$$
Institutional
 1.638***1.704***  
  (0.504)(0.540)  
MMLF
$$\times$$
WLA
    –0.102**
     (0.036)
Adj.
$$R^2$$
.143.159.204.137.225
Obs.1,1541,1541,154647647
ControlsYesYesYesYesYes
Day FE  Yes Yes
Dependent variable: Daily fund percentage flow
 All prime MMFsInstitutional prime
 (1)(2)(3)(4)(5)
Flow
$$_{t-1}$$
0.236***0.217***0.163***0.215***0.102*
 (0.055)(0.052)(0.044)(0.058)(0.050)
MMLF0.864**–0.042 1.520** 
 (0.337)(0.167) (0.556) 
Institutional –1.295***–1.371***  
  (0.362)(0.388)  
MMLF
$$\times$$
Institutional
 1.638***1.704***  
  (0.504)(0.540)  
MMLF
$$\times$$
WLA
    –0.102**
     (0.036)
Adj.
$$R^2$$
.143.159.204.137.225
Obs.1,1541,1541,154647647
ControlsYesYesYesYesYes
Day FE  Yes Yes

The daily sample goes from March 9, 2020, to April 3, 2020. Columns 1–3 include both retail and institutional prime MMFs, while columns 4 and 5 only institutional funds. The dependent variable is the daily percentage change in fund AUM on day

$$t$$
, winsorized at the 0.5
$$\%$$
and 99.5
$$\%$$
levels.
$$Institutional$$
is a dummy equal to one for institutional prime funds.
$$MMLF$$
is a dummy equal to one from March 23 onward.
$$Flow_{t-1}$$
is the 1-day lag of the dependent variable. Controls are lagged variables including
$$WLA$$
, abnormal yield (in excess of cross-sectional average), safe holdings (Treasury and agency debt as share of fund AUM), risky holdings (CP and CDs), logarithms of fund size, expense ratio, bank affiliation dummy, and fund age. Standard errors (in parentheses) are two-way clustered at the fund and day levels.

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