Table 3

Sample summary statistics

CountriesROASΔSLEVCOMPTANGΔGDPMCR
AllMean4.400188449.20012.3640.6890.62557.4134.49376.964
Median3.52911763.3005.9260.3850.71553.1804.09465.369
St.Dev6.058682971.90026.2080.8950.29334.9884.16146.276
Min−16.85448.608−25.7140.0000.0002.331−5.41715.248
Max25.7095300000.000160.2284.9310.975160.03814.231303.569
Skewness0.3305.9343.0982.387−0.9750.6080.0772.544
Kurtosis6.06640.80215.7339.7982.8162.9392.37311.410
ChinaMean5.6748447.90023.7270.5320.74444.8459.29754.583
Median4.6051786.98013.1380.3040.82440.3679.40045.059
St.Dev6.31456124.26035.9680.7040.23228.1042.08724.498
Min−16.85448.608−25.7140.0000.0002.3316.68917.579
Max25.7092400000.000160.2284.9310.975160.03814.231126.088
Skewness0.45724.7442.2112.764−1.7020.7840.7651.338
Kurtosis5.464812.1798.22913.6885.5333.4472.9305.234
Hong-KongMean5.86653036.1309.6840.3480.18847.8103.522298.857
Median5.0174069.4456.4700.1820.00041.8042.762303.569
St.Dev5.972293823.30020.7910.4530.24333.6913.24418.150
Min−16.85448.608−25.7140.0000.0002.331−5.417203.431
Max25.7095300000.000160.2283.8520.753160.0388.700303.569
Skewness0.01715.0993.0902.5760.7490.896−0.464−4.662
Kurtosis5.390262.98919.84413.3861.9633.7643.25124.293
IndonesiaMean4.7331168089.00017.2850.9890.20062.4934.77526.896
Median3.874447455.5009.7240.5970.00059.6475.03126.753
St.Dev8.3891541105.00030.9661.1500.26331.9632.5519.731
Min−16.85448.608−25.7140.0000.0002.331−5.41715.248
Max25.7095300000.000160.2284.9310.790160.0388.22047.728
Skewness0.1631.7052.3031.7830.8070.512−2.5660.400
Kurtosis4.0054.7409.8775.9822.0142.94111.0822.070
IndiaMean6.88230073.40020.6520.9130.66056.5537.75978.179
Median5.6133394.70013.6040.6320.74354.5987.92369.206
St.Dev6.184170546.60029.2700.9940.28630.9421.74326.770
Min−16.85448.608−25.7140.0000.0002.3313.89146.547
Max25.7095300000.000160.2284.9310.964160.03810.260151.451
Skewness0.76315.1892.3851.766−1.0460.442−0.5661.473
Kurtosis4.643314.97310.5236.5143.0812.9072.6914.798
IsraelMean6.7482671.78211.7651.0560.17645.5793.64975.675
Median5.488370.7655.8470.6180.00036.4894.09467.818
St.Dev6.47811588.96026.8831.2860.24736.7001.49821.155
Min−16.85448.608−25.7140.0000.0002.3310.02532.531
Max25.709131442.000160.2284.9310.748160.0388.169131.532
Skewness0.5298.8433.2801.7160.9581.126−0.2480.754
Kurtosis5.49187.85717.0455.2572.3373.8443.1523.590
JapanMean2.634217380.7004.0300.6900.68665.1060.55666.078
Median2.35742030.5002.3070.3620.75361.2420.11861.847
St.Dev4.019640473.00013.6370.9270.22838.8231.90916.592
Min−16.854384.000−25.7140.0000.0002.331−5.41747.237
Max25.7095300000.000160.2284.9310.951160.0384.192101.847
Skewness−0.2825.8124.2122.417−1.3780.412−0.9641.135
Kurtosis9.15141.04938.8569.6874.4682.4545.5762.861
South KoreaMean1.826814102.9009.6760.8770.55754.9623.71079.339
Median2.294218709.5005.6340.5630.62853.9832.93388.896
St.Dev6.9321408667.00023.6901.0110.29429.5342.20721.419
Min−16.8546014.480−25.7140.0000.0002.331−5.41715.248
Max25.7095300000.000160.2284.9310.971160.03811.30999.994
Skewness−0.6072.3742.8772.062−0.6440.4930.202−1.346
Kurtosis4.6447.42416.4737.6702.2703.3657.6623.585
MalaysiaMean5.8091526.55210.8760.4460.41556.1355.112141.960
Median5.340284.9036.3300.2250.47754.3135.473142.996
St.Dev6.6105128.96722.8920.6430.28931.2163.20235.143
Min−16.85448.608−25.7140.0000.0002.331−5.41781.988
Max25.70992545.800160.2284.9310.885160.03810.003303.569
Skewness0.0847.7733.5373.272−0.2640.466−1.5252.407
Kurtosis5.30582.03621.30418.2881.6372.9975.80412.498
PakistanMean9.01513,244.08016.2000.8560.47768.4803.53820.986
Median7.5862940.71011.6020.5140.49167.7872.74815.248
St.Dev6.92139362.43023.3531.0150.35431.2971.71310.170
Min−14.73354.886−25.7140.0000.0002.3311.01415.248
Max25.709589566.000160.2284.9310.936160.0387.66746.537
Skewness0.6567.5622.2871.872−0.1670.2331.0851.687
Kurtosis2.97077.75712.2826.8111.5292.9613.3544.235
PhilippinesMean5.97150940.54012.0300.5920.17366.8605.10958.520
Median5.3338082.4056.8250.3750.00062.5095.24355.520
St.Dev6.870142214.50024.9210.7420.23937.5101.84823.381
Min−16.85448.608−25.7140.0000.0002.331−0.57722.748
Max25.7091300000.000160.2284.9310.747160.0387.63297.345
Skewness0.0035.5182.9652.4390.9400.555−1.1000.040
Kurtosis5.01439.77916.43011.5412.2382.7564.1381.518
SingaporeMean5.92215,217.49011.9810.4860.30248.8565.322213.032
Median5.296176.6436.1680.2820.29843.2185.001217.081
St.Dev6.779258631.30025.7060.6520.29033.8573.94053.885
Min−16.85448.608−25.7140.0000.0002.331−2.225104.267
Max25.7095300000.000160.2284.9310.873160.03814.231299.574
Skewness−0.13820.0452.5033.1890.2740.7730.302−0.500
Kurtosis4.973408.32512.53617.8151.5593.2322.7772.233
ThailandMean7.45619135.29012.1700.6730.25374.2763.60470.503
Median6.7372373.4606.1630.3860.14872.9293.44472.404
St.Dev7.121100721.40025.8230.8630.26940.9862.69926.759
Min−16.85448.608−25.7140.0000.0002.331−5.41715.248
Max25.7092200000.000160.2284.9310.782160.0388.120106.371
Skewness0.13414.1232.8402.2980.4480.232−0.724−0.434
Kurtosis4.248242.51714.0479.6241.6162.2173.9632.162

Note(s): 1. ROA, S, ΔS, TANG, ΔGDP, MCR are given in percentages whereas LEV and COMP are given in ratios

Source(s): Authors’ calculations based on COMPUSTAT Global Database and World Bank Database

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