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Table 5 Leaders’ comments and followers’ trading frequency

From: Does communication increase investors’ trading frequency? Evidence from a Chinese social trading platform

 

\(Trades_{i,t}\)

\(Turnover_{i,t}\)

 

(1)

(2)

(3)

(4)

\(Leader\ comment_{i,t-1}\)

0.0701\(^{***}\)

0.0364\(^{***}\)

0.0686\(^{***}\)

0.0429\(^{***}\)

(7.56)

(4.37)

(5.54)

(3.66)

\(Return_{i,t-1}\)

 

0.5551\(^{***}\)

 

− 0.0168

 

(5.52)

 

(− 0.10)

\(Return\ SD_{i,t-1}\)

 

0.4938\(^{***}\)

 

1.0086\(^{***}\)

 

(2.94)

 

(3.31)

\(No.securities_{i,t-1}\)

 

0.4209\(^{***}\)

 

0.2746\(^{***}\)

 

(25.09)

 

(13.86)

\(No.followers_{i,t-1}\)

 

0.0735\(^{***}\)

 

0.0837\(^{***}\)

 

(2.61)

 

(2.67)

\(\text{Portfolio age}_{i,t-1}\)

 

− 0.1006\(^{***}\)

 

− 0.0856\(^{***}\)

 

(− 7.21)

 

(− 4.52)

\(No.leaders_{i,t-1}\)

 

0.0688\(^{***}\)

 

0.0516\(^{***}\)

 

(3.90)

 

(2.75)

\(Leader\ return_{i,t-1}\)

 

0.1620\(^{**}\)

 

0.2603\(^{**}\)

 

(2.17)

 

(2.41)

\(Leader\ SD_{i,t-1}\)

 

0.4760\(^{**}\)

 

0.5164\(^{*}\)

 

(2.28)

 

(1.68)

\(Leader\ trades_{i,t-1}\)

 

0.0500\(^{***}\)

 

0.0445\(^{***}\)

 

(5.13)

 

(2.97)

\(Leader\ followers_{i,t-1}\)

 

0.0151\(^{**}\)

 

0.0112

 

(2.01)

 

(1.16)

\(Leader\ securities_{i,t-1}\)

 

0.0137

 

0.0112

 

(1.12)

 

(0.60)

\(Leader\ age_{i,t-1}\)

 

− 0.0269\(^{***}\)

 

− 0.0228\(^{**}\)

 

(−4.07)

 

(−2.57)

Portfolio fixed effects

Yes

Yes

Yes

Yes

Time fixed effects

Yes

Yes

Yes

Yes

Observations

262,457

262,457

262,457

262,457

Adjusted \(R^2\)

0.2861

0.3274

0.3154

0.3270

  1. This table reports the results from the fixed-effects estimation of the panel regression model specified in Eq. 2.
  2. The dependent variable is either the (log) number of trades of portfolios (Columns 1 and 2) or the turnover ratio of portfolios (Columns 3 and 4). Only treated real-account portfolios are included in the regressions. All explanatory variables are lagged by one week. Standard errors are double-clustered at the portfolio level and over time. *, **, and *** denote significance at the 10%, 5%, and 1% level, respectively