Options trading
A study of investment strategies volatility. The advantages of trading options in the stock market. The concept, nature and characteristics strategies options Straddle, creating a positive return without any cost for transactions using this strategy.
Рубрика | Финансы, деньги и налоги |
Вид | контрольная работа |
Язык | английский |
Дата добавления | 20.03.2016 |
Размер файла | 310,3 K |
Отправить свою хорошую работу в базу знаний просто. Используйте форму, расположенную ниже
Студенты, аспиранты, молодые ученые, использующие базу знаний в своей учебе и работе, будут вам очень благодарны.
F-statistic
0.324782
Durbin-Watson stat
1.880511
Prob(F-statistic)
0.571784
Table 12. Dependent Variable: AMD31
Method: Least Squares |
|||||
Date: 06/20/13 Time: 20:10 |
|||||
Sample (adjusted): 1 44 |
|||||
Included observations: 44 after adjustments |
|||||
Variable |
Coefficient |
Std. Error |
t-Statistic |
Prob. |
|
C |
-0.143285 |
0.077071 |
-1.859142 |
0.0700 |
|
MRP |
-0.452289 |
0.851866 |
-0.530939 |
0.5983 |
|
R-squared |
0.006667 |
Mean dependent var |
-0.143319 |
||
Adjusted R-squared |
-0.016984 |
S.D. dependent var |
0.506941 |
||
S.E. of regression |
0.511228 |
Akaike info criterion |
1.540387 |
||
Sum squared resid |
10.97687 |
Schwarz criterion |
1.621487 |
||
Log likelihood |
-31.88852 |
F-statistic |
0.281897 |
||
Durbin-Watson stat |
1.873571 |
Prob(F-statistic) |
0.598257 |
Table 13. Dependent Variable: AMD41
Method: Least Squares |
|||||
Date: 06/20/13 Time: 20:10 |
|||||
Sample (adjusted): 1 44 |
|||||
Included observations: 44 after adjustments |
|||||
Variable |
Coefficient |
Std. Error |
t-Statistic |
Prob. |
|
C |
-0.205071 |
0.073464 |
-2.791440 |
0.0079 |
|
MRP |
-0.338206 |
0.812003 |
-0.416508 |
0.6792 |
|
R-squared |
0.004113 |
Mean dependent var |
-0.205096 |
||
Adjusted R-squared |
-0.019598 |
S.D. dependent var |
0.482599 |
||
S.E. of regression |
0.487305 |
Akaike info criterion |
1.444537 |
||
Sum squared resid |
9.973591 |
Schwarz criterion |
1.525637 |
||
Log likelihood |
-29.77982 |
F-statistic |
0.173479 |
||
Durbin-Watson stat |
1.761612 |
Prob(F-statistic) |
0.679159 |
Table 14. Dependent Variable: INTC11
Method: Least Squares |
|||||
Date: 06/20/13 Time: 20:11 |
|||||
Sample (adjusted): 1 44 |
|||||
Included observations: 44 after adjustments |
|||||
Variable |
Coefficient |
Std. Error |
t-Statistic |
Prob. |
|
C |
0.021049 |
0.029459 |
0.714498 |
0.4789 |
|
MRP |
-0.426904 |
0.325614 |
-1.311074 |
0.1970 |
|
R-squared |
0.039317 |
Mean dependent var |
0.021016 |
||
Adjusted R-squared |
0.016444 |
S.D. dependent var |
0.197037 |
||
S.E. of regression |
0.195410 |
Akaike info criterion |
-0.383045 |
||
Sum squared resid |
1.603772 |
Schwarz criterion |
-0.301945 |
||
Log likelihood |
10.42699 |
F-statistic |
1.718915 |
||
Durbin-Watson stat |
1.528753 |
Prob(F-statistic) |
0.196956 |
Table 15. Dependent Variable: INTC21
Method: Least Squares |
|||||
Date: 06/20/13 Time: 20:11 |
|||||
Sample (adjusted): 1 44 |
|||||
Included observations: 44 after adjustments |
|||||
Variable |
Coefficient |
Std. Error |
t-Statistic |
Prob. |
|
C |
-0.034576 |
0.029170 |
-1.185346 |
0.2425 |
|
MRP |
-0.371737 |
0.322414 |
-1.152982 |
0.2554 |
|
R-squared |
0.030681 |
Mean dependent var |
-0.034604 |
||
Adjusted R-squared |
0.007601 |
S.D. dependent var |
0.194229 |
||
S.E. of regression |
0.193489 |
Akaike info criterion |
-0.402800 |
||
Sum squared resid |
1.572401 |
Schwarz criterion |
-0.321700 |
||
Log likelihood |
10.86160 |
F-statistic |
1.329368 |
||
Durbin-Watson stat |
1.415363 |
Prob(F-statistic) |
0.255438 |
Table 16. Dependent Variable: INTC31
Method: Least Squares |
|||||
Date: 06/20/13 Time: 20:11 |
|||||
Sample (adjusted): 1 44 |
|||||
Included observations: 44 after adjustments |
|||||
Variable |
Coefficient |
Std. Error |
t-Statistic |
Prob. |
|
C |
-0.154962 |
0.077340 |
-2.003633 |
0.0516 |
|
MRP |
0.622535 |
0.854847 |
0.728242 |
0.4705 |
|
R-squared |
0.012470 |
Mean dependent var |
-0.154914 |
||
Adjusted R-squared |
-0.011043 |
S.D. dependent var |
0.510208 |
||
S.E. of regression |
0.513017 |
Akaike info criterion |
1.547375 |
||
Sum squared resid |
11.05384 |
Schwarz criterion |
1.628474 |
||
Log likelihood |
-32.04224 |
F-statistic |
0.530336 |
||
Durbin-Watson stat |
2.066215 |
Prob(F-statistic) |
0.470507 |
Table 17. Dependent Variable: INTC41
Method: Least Squares |
|||||
Date: 06/20/13 Time: 20:12 |
|||||
Sample (adjusted): 1 44 |
|||||
Included observations: 44 after adjustments |
|||||
Variable |
Coefficient |
Std. Error |
t-Statistic |
Prob. |
|
C |
-0.198518 |
0.076548 |
-2.593382 |
0.0130 |
|
MRP |
0.622766 |
0.846089 |
0.736053 |
0.4658 |
|
R-squared |
0.012735 |
Mean dependent var |
-0.198471 |
||
Adjusted R-squared |
-0.010771 |
S.D. dependent var |
0.505049 |
||
S.E. of regression |
0.507761 |
Akaike info criterion |
1.526778 |
||
Sum squared resid |
10.82850 |
Schwarz criterion |
1.607878 |
||
Log likelihood |
-31.58913 |
F-statistic |
0.541774 |
||
Durbin-Watson stat |
2.031602 |
Prob(F-statistic) |
0.465789 |
Table18. Dependent Variable: MSFT11
Method: Least Squares |
|||||
Date: 06/20/13 Time: 20:12 |
|||||
Sample (adjusted): 1 44 |
|||||
Included observations: 44 after adjustments |
|||||
Variable |
Coefficient |
Std. Error |
t-Statistic |
Prob. |
|
C |
0.171574 |
0.045580 |
3.764255 |
0.0005 |
|
MRP |
-0.198885 |
0.503796 |
-0.394772 |
0.6950 |
|
R-squared |
0.003697 |
Mean dependent var |
0.171559 |
||
Adjusted R-squared |
-0.020025 |
S.D. dependent var |
0.299360 |
||
S.E. of regression |
0.302342 |
Akaike info criterion |
0.489874 |
||
Sum squared resid |
3.839251 |
Schwarz criterion |
0.570973 |
||
Log likelihood |
-8.777225 |
F-statistic |
0.155845 |
||
Durbin-Watson stat |
1.908885 |
Prob(F-statistic) |
0.695009 |
Table 19. Dependent Variable: MSFT21
Method: Least Squares |
|||||
Date: 06/20/13 Time: 20:12 |
|||||
Sample (adjusted): 1 44 |
|||||
Included observations: 44 after adjustments |
|||||
Variable |
Coefficient |
Std. Error |
t-Statistic |
Prob. |
|
C |
0.120748 |
0.044724 |
2.699848 |
0.0100 |
|
MRP |
-0.242922 |
0.494336 |
-0.491411 |
0.6257 |
|
R-squared |
0.005717 |
Mean dependent var |
0.120729 |
||
Adjusted R-squared |
-0.017957 |
S.D. dependent var |
0.294037 |
||
S.E. of regression |
0.296665 |
Akaike info criterion |
0.451961 |
||
Sum squared resid |
3.696418 |
Schwarz criterion |
0.533060 |
||
Log likelihood |
-7.943138 |
F-statistic |
0.241485 |
||
Durbin-Watson stat |
1.926779 |
Prob(F-statistic) |
0.625694 |
Table 20. Dependent Variable: MSFT31
Method: Least Squares |
|||||
Date: 06/20/13 Time: 20:13 |
|||||
Sample (adjusted): 1 44 |
|||||
Included observations: 44 after adjustments |
|||||
Variable |
Coefficient |
Std. Error |
t-Statistic |
Prob. |
|
C |
0.125272 |
0.086174 |
1.453713 |
0.1535 |
|
MRP |
-0.244242 |
0.952481 |
-0.256427 |
0.7989 |
|
R-squared |
0.001563 |
Mean dependent var |
0.125253 |
||
Adjusted R-squared |
-0.022209 |
S.D. dependent var |
0.565367 |
||
S.E. of regression |
0.571610 |
Akaike info criterion |
1.763670 |
||
Sum squared resid |
13.72301 |
Schwarz criterion |
1.844770 |
||
Log likelihood |
-36.80075 |
F-statistic |
0.065755 |
||
Durbin-Watson stat |
1.806501 |
Prob(F-statistic) |
0.798873 |
Table 21. Dependent Variable: MSFT41
Method: Least Squares |
|||||
Date: 06/20/13 Time: 20:13 |
|||||
Sample (adjusted): 1 44 |
|||||
Included observations: 44 after adjustments |
|||||
Variable |
Coefficient |
Std. Error |
t-Statistic |
Prob. |
|
C |
0.074982 |
0.084075 |
0.891850 |
0.3776 |
|
MRP |
-0.255327 |
0.929285 |
-0.274756 |
0.7849 |
|
R-squared |
0.001794 |
Mean dependent var |
0.074963 |
||
Adjusted R-squared |
-0.021973 |
S.D. dependent var |
0.551662 |
||
S.E. of regression |
0.557689 |
Akaike info criterion |
1.714360 |
||
Sum squared resid |
13.06274 |
Schwarz criterion |
1.795460 |
||
Log likelihood |
-35.71592 |
F-statistic |
0.075491 |
||
Durbin-Watson stat |
1.797788 |
Prob(F-statistic) |
0.784851 |
Table 22. Dependent Variable: S1
Method: Least Squares |
|||||
Date: 06/21/13 Time: 15:55 |
|||||
Sample (adjusted): 1 44 |
|||||
Included observations: 44 after adjustments |
|||||
Variable |
Coefficient |
Std. Error |
t-Statistic |
Prob. |
|
C |
0.117083 |
0.038762 |
3.020596 |
0.0043 |
|
MRP |
0.577203 |
0.428435 |
1.347237 |
0.1851 |
|
R-squared |
0.041425 |
Mean dependent var |
0.117127 |
||
Adjusted R-squared |
0.018602 |
S.D. dependent var |
0.259541 |
||
S.E. of regression |
0.257115 |
Akaike info criterion |
0.165806 |
||
Sum squared resid |
2.776551 |
Schwarz criterion |
0.246906 |
||
Log likelihood |
-1.647735 |
F-statistic |
1.815048 |
||
Durbin-Watson stat |
1.934760 |
Prob(F-statistic) |
0.185128 |
Table 23. Dependent Variable: S2
Method: Least Squares |
|||||
Date: 06/21/13 Time: 15:55 |
|||||
Sample (adjusted): 1 44 |
|||||
Included observations: 44 after adjustments |
|||||
Variable |
Coefficient |
Std. Error |
t-Statistic |
Prob. |
|
C |
0.027665 |
0.037046 |
0.746782 |
0.4594 |
|
MRP |
0.489431 |
0.409466 |
1.195290 |
0.2387 |
|
R-squared |
0.032898 |
Mean dependent var |
0.027702 |
||
Adjusted R-squared |
0.009872 |
S.D. dependent var |
0.246954 |
||
S.E. of regression |
0.245732 |
Akaike info criterion |
0.075239 |
||
Sum squared resid |
2.536138 |
Schwarz criterion |
0.156339 |
||
Log likelihood |
0.344741 |
F-statistic |
1.428718 |
||
Durbin-Watson stat |
1.941183 |
Prob(F-statistic) |
0.238679 |
Table 24. Dependent Variable: S3
Method: Least Squares |
|||||
Date: 06/21/13 Time: 15:56 |
|||||
Sample (adjusted): 1 44 |
|||||
Included observations: 44 after adjustments |
|||||
Variable |
Coefficient |
Std. Error |
t-Statistic |
Prob. |
|
C |
-0.023666 |
0.087544 |
-0.270336 |
0.7882 |
|
MRP |
1.306015 |
0.967629 |
1.349706 |
0.1843 |
|
R-squared |
0.041571 |
Mean dependent var |
-0.023567 |
||
Adjusted R-squared |
0.018751 |
S.D. dependent var |
0.586223 |
||
S.E. of regression |
0.580701 |
Akaike info criterion |
1.795227 |
||
Sum squared resid |
14.16297 |
Schwarz criterion |
1.876327 |
||
Log likelihood |
-37.49500 |
F-statistic |
1.821707 |
||
Durbin-Watson stat |
2.525898 |
Prob(F-statistic) |
0.184340 |
Table 25. Dependent Variable: S4
Method: Least Squares |
|||||
Date: 06/21/13 Time: 15:56 |
|||||
Sample (adjusted): 1 44 |
|||||
Included observations: 44 after adjustments |
|||||
Variable |
Coefficient |
Std. Error |
t-Statistic |
Prob. |
|
C |
-0.113625 |
0.085020 |
-1.336461 |
0.1886 |
|
MRP |
1.194701 |
0.939728 |
1.271327 |
0.2106 |
|
R-squared |
0.037057 |
Mean dependent var |
-0.113535 |
||
Adjusted R-squared |
0.014129 |
S.D. dependent var |
0.567983 |
||
S.E. of regression |
0.563957 |
Akaike info criterion |
1.736710 |
||
Sum squared resid |
13.35797 |
Schwarz criterion |
1.817809 |
||
Log likelihood |
-36.20762 |
F-statistic |
1.616273 |
||
Durbin-Watson stat |
2.419165 |
Prob(F-statistic) |
0.210608 |
Размещено на Allbest.ru
Подобные документы
Study credit channel using clustering and test the difference in mean portfolio returns. The calculated debt-to-capital, interest coverage, current ratio, payables turnover ratio. Analysis of stock market behavior. Comparison of portfolios’ performances.
курсовая работа [1,5 M], добавлен 23.10.2016Types and functions exchange. Conjuncture of exchange market in theory. The concept of the exchange. Types of Exchanges and Exchange operations. The concept of market conditions, goals, and methods of analysis. Stages of market research product markets.
курсовая работа [43,3 K], добавлен 08.02.2014The concept, types and regulation of financial institutions. Their main functions: providing insurance and loans, asset swaps market participants. Activities and basic operations of credit unions, brokerage firms, investment funds and mutual funds.
реферат [14,0 K], добавлен 01.12.2010Strategy of foreign capital regulation in Russia. Russian position in the world market of investments. Problems of foreign investments attraction. Types of measures for attraction of investments. Main aspects of foreign investments attraction policy.
реферат [20,8 K], добавлен 16.05.2011Fisher Separation Theorem. Consumption Vs. Investment. Utility Analysis. Indifference Curves. The satisfaction levels. Indifference Curves and Trade Off between Present and Future Consumptions. Marginal Rate of Substitution. Capital Market Line.
презентация [1,5 M], добавлен 22.06.2015Example of a bond valuing. Bond prices and yields. Stocks and stock market. Valuing common stocks. Capitalization rate. Constant growth DDM. Payout and plowback ratio. Assuming the dividend. Present value of growth opportunities. Sustainable growth rate.
презентация [748,8 K], добавлен 02.08.2013The economic benefits to the recipient countries by providing capital, foreign exchange. The question of potential causality between foreign debt and domestic savings in the context of the Kyrgyz Republic. The problem of tracking new private businesses.
реферат [26,7 K], добавлен 28.01.2014- Вероятность получить государственную поддержку и конкурентоспособность – диагностирование самоотбора
Дивестиции как процесс продажи части подконтрольных компании активов и изъятие капиталовложений, ее разновидности в зависимости от условий. Методология формирования выборки и Event Study. Анализ и результаты Event Study для российских металлургов.
курсовая работа [294,3 K], добавлен 08.02.2017 The General Economic Conditions for the Use of Money. Money and Money Substitutes. The Global Money Markets. US Money Market. Money Management. Cash Management for Finance Managers. The activity of financial institutions in the money market involves.
реферат [20,9 K], добавлен 01.12.2006Тhe balance sheet company's financial condition is divided into 2 kinds: personal and corporate. Each of these species has some characteristics and detail information about the assets, liabilities and provided shareholders' equity of the company.
реферат [409,2 K], добавлен 25.12.2008