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Table 5 Regression results of LSDV model and GMM with instruments

From: Impact of COVID-19 on the performance of emerging market mutual funds: evidence from India

 

FIXED effect model

sys-GMM

  

\(\alpha\)

\(\beta\)

\(\overline{R}^{2}\)

DW

\(\alpha\)

\(\beta\)

\(\overline{R}^{2}\)

DW

Regression results using all the five instruments

Sample 1

coef

− 0.0421

0.3261

0.3285

2.2803

− 0.0444

0.2876

0.3296

2.2537

  

− 223.17

72.893

  

− 152.82

66.084

  

Sample 2

coef

− 0.0452

0.2572

0.2412

1.7431

− 0.0445

0.2577

0.267

1.7052

  

− 160.54

52.059

  

− 173.61

62.594

  

Sample 3

coef

− 0.0453

0.2472

0.231

1.352

− 0.0426

0.2816

0.0072

1.022

  

− 75.617

17.0406

  

− 18.846

6.9031

  

Overall sample (Z1 to Z5)

coef

− 0.0432

0.28475

0.2716

1.6234

− 0.0409

0.32608

0.1257

1.34373

 

− 248.49

100.83

  

− 111.18

53.4034

  

F stat

35.4966

  

J Stat

279.812

 

Prob(F)

0

  

P (J stat)

0

 

Regression results (after removing Z1 and Z3)

Overall sample* (reiterated)

coef

− 0.04161

0.313766

0.269382

1.631407

− 0.0483

0.201002

0.109798

1.364964

 

− 276.677

132.7246

  

− 75.1156

18.60871

  

F stat

35.46262

  

J Stat

92.20145

 

p (F stat)

0

  

P (J stat)

0

 
  1. Source: Calculation by author
  2. 1. The italic fond represents the t stat of the variables
  3. 2. J stat represents the Hansen’s over-identification test of instruments in GMM
  4. 3. DW stands for the Durbin Wattson statistics for the autocorrelation of residuals
  5. *Sample 1–3 are estimated using \({\mathbb{Z}}_{{{\text{1to5}}}}\) and \({\mathbb{Z}}_{1\& 3}\) are omitted in the overall sample estimation