Приложение 2
Таблица 2.2
Описательная статистика исследуемых переменных
|
SPREAD |
PERIOD |
RATING_INTER |
TYPE_BOND |
TYPE_ORGANISER |
CALL |
PUT |
EMISSION_VOL |
||
|
Mean |
2.367726 |
8.809147 |
-3.483446 |
0.733432 |
0.690722 |
0.403535 |
0.039764 |
8785.036 |
|
|
Median |
1.360000 |
9.972603 |
-4.000000 |
1.000000 |
1.000000 |
0.000000 |
0.000000 |
5000.000 |
|
|
Maximum |
18.75000 |
34.90411 |
0.000000 |
1.000000 |
1.000000 |
1.000000 |
1.000000 |
100000.0 |
|
|
Minimum |
-8.490000 |
0.997260 |
-8.000000 |
0.000000 |
0.000000 |
0.000000 |
0.000000 |
0.090000 |
|
|
Std. Dev. |
3.061158 |
6.215377 |
3.374571 |
0.442491 |
0.462537 |
0.490968 |
0.195549 |
10829.85 |
|
|
Skewness |
1.170782 |
2.146567 |
-0.091275 |
-1.055857 |
-0.825285 |
0.393250 |
4.710579 |
4.208555 |
|
|
Kurtosis |
5.749842 |
8.791066 |
1.215607 |
2.114835 |
1.681095 |
1.154645 |
23.18956 |
30.54658 |
|
|
Jarque-Bera |
369.0522 |
1470.246 |
91.02514 |
148.3292 |
126.2909 |
113.8433 |
14043.32 |
23472.52 |
|
|
Probability |
0.000000 |
0.000000 |
0.000000 |
0.000000 |
0.000000 |
0.000000 |
0.000000 |
0.000000 |
|
|
Sum |
1607.686 |
5981.411 |
-2365.260 |
498.0000 |
469.0000 |
274.0000 |
27.00000 |
5965039. |
|
|
Sum Sq. Dev. |
6353.325 |
26191.76 |
7720.879 |
132.7511 |
145.0515 |
163.4315 |
25.92636 |
7.95E+10 |
|
|
Observations |
679 |
679 |
679 |
679 |
679 |
679 |
679 |
679 |
|
|
BRENT_GROWTH |
DEFAULT_RATE |
EXCH_RATE |
GDP_GROWTH |
BUILDING |
ENERGETICS |
IRON_INDUST |
|||
|
Mean |
0.140029 |
0.017724 |
-0.006859 |
7.836112 |
0.150221 |
0.100147 |
0.042710 |
||
|
Median |
0.300000 |
0.007101 |
0.000000 |
6.306671 |
0.000000 |
0.000000 |
0.000000 |
||
|
Maximum |
18.22000 |
0.207024 |
5.037914 |
31.92216 |
1.000000 |
1.000000 |
1.000000 |
||
|
Minimum |
-22.10000 |
0.000000 |
-6.902319 |
2.406842 |
0.000000 |
0.000000 |
0.000000 |
||
|
Std. Dev. |
7.481225 |
0.027968 |
0.812323 |
5.970350 |
0.357551 |
0.300418 |
0.202351 |
||
|
Skewness |
-0.826945 |
2.562630 |
-0.901081 |
2.495393 |
1.957968 |
2.663942 |
4.523097 |
||
|
Kurtosis |
4.313926 |
10.90247 |
15.38216 |
9.876078 |
4.833639 |
8.096587 |
21.45841 |
||
|
Jarque-Bera |
126.2304 |
2509.960 |
4429.506 |
2042.330 |
528.9633 |
1537.979 |
11954.54 |
||
|
Probability |
0.000000 |
0.000000 |
0.000000 |
0.000000 |
0.000000 |
0.000000 |
0.000000 |
||
|
Sum |
95.08000 |
12.03466 |
-4.657302 |
5320.720 |
102.0000 |
68.00000 |
29.00000 |
||
|
Sum Sq. Dev. |
37946.80 |
0.530339 |
447.3904 |
24167.36 |
86.67747 |
61.18999 |
27.76141 |
||
|
Observations |
679 |
679 |
679 |
679 |
679 |
679 |
679 |
||
|
MACHINE_MANUFACT |
OIL_GAS |
OTHER_SECTOR |
TELECOM |
TRADE_RETAIL |
TRANSPORT |
||||
|
Mean |
0.053019 |
0.179676 |
0.191458 |
0.097202 |
0.079529 |
0.106038 |
|||
|
Median |
0.000000 |
0.000000 |
0.000000 |
0.000000 |
0.000000 |
0.000000 |
|||
|
Maximum |
1.000000 |
1.000000 |
1.000000 |
1.000000 |
1.000000 |
1.000000 |
|||
|
Minimum |
0.000000 |
0.000000 |
0.000000 |
0.000000 |
0.000000 |
0.000000 |
|||
|
Std. Dev. |
0.224237 |
0.384200 |
0.393739 |
0.296451 |
0.270762 |
0.308114 |
|||
|
Skewness |
3.989624 |
1.668713 |
1.568398 |
2.719475 |
3.108130 |
2.559135 |
|||
|
Kurtosis |
16.91710 |
3.784604 |
3.459871 |
8.395546 |
10.66047 |
7.549172 |
|||
|
Jarque-Bera |
7280.974 |
332.5408 |
284.3586 |
1660.554 |
2753.480 |
1326.643 |
|||
|
Probability |
0.000000 |
0.000000 |
0.000000 |
0.000000 |
0.000000 |
0.000000 |
|||
|
Sum |
36.00000 |
122.0000 |
130.0000 |
66.00000 |
54.00000 |
72.00000 |
|||
|
Sum Sq. Dev. |
34.09131 |
100.0795 |
105.1105 |
59.58468 |
49.70545 |
64.36524 |
|||
|
Observations |
679 |
679 |
679 |
679 |
679 |
679 |
Приложение 3
Таблица 3.1
Тест Чоу для отрасли «Строительство и девелопмент»
|
Chow Breakpoint Test: 631 |
|||||
|
F-statistic |
1.790416 |
Probability |
0.052076 |
||
|
Log likelihood ratio |
20.05123 |
Probability |
0.044643 |
||
Таблица 3.2
Тест Чоу для отрасли «Торговля и ритейл»
|
Chow Breakpoint Test: 720 |
|||||
|
F-statistic |
0.375050 |
Probability |
0.965622 |
||
|
Log likelihood ratio |
4.249098 |
Probability |
0.962056 |
||
Таблица 3.3
Тест Чоу для транспортной отрасли
|
Chow Breakpoint Test: 702 |
|||||
|
F-statistic |
0.742441 |
Probability |
0.697828 |
||
|
Log likelihood ratio |
8.386014 |
Probability |
0.678365 |
||
Таблица 3.4
Тест Чоу для энергетической отрасли
|
Chow Breakpoint Test: 714 |
|||||
|
F-statistic |
0.939006 |
Probability |
0.501958 |
||
|
Log likelihood ratio |
10.58920 |
Probability |
0.478292 |
||
Таблица 3.5
Тест Чоу для отрасли «Связь и телекоммуникации»
|
Chow Breakpoint Test: 716 |
|||||
|
F-statistic |
0.931047 |
Probability |
0.509646 |
||
|
Log likelihood ratio |
10.50012 |
Probability |
0.486039 |
||
Таблица 3.6
Тест Чоу для отрасли «Черная металлургия»
|
Chow Breakpoint Test: 752 |
|||||
|
F-statistic |
0.161949 |
Probability |
0.999106 |
||
|
Log likelihood ratio |
1.838048 |
Probability |
0.998989 |
||
Таблица 3.7
Тест Чоу для отрасли машиностроения
|
Chow Breakpoint Test: 742 |
|||||
|
F-statistic |
1.041142 |
Probability |
0.407842 |
||
|
Log likelihood ratio |
11.73118 |
Probability |
0.384185 |
||