Using Return on Investment Operational and Monte Carlo Modeling Techniques to Predict Financial Performance in a Tertiary Care Outpatient Clinic

Author(s):  
Robert DiCesare ◽  
Jay Toor ◽  
Jesse Wolfstadt ◽  
Lucshman Raveendran ◽  
Stanley Chung ◽  
...  
2017 ◽  
Vol 13 (1) ◽  
pp. 46-62
Author(s):  
Aries Veronica

The purpose of this study was to determine financial performance to stock price ofminning industries at Indonesian Stock Exchange . This research is field research withdata collection techniques using documentation that the sample size is as much as 33emitten. To test the effect of the financial performance to stock price used multipleregression analysis techniques and to test research hypotheses, F test and t test.From the results of calculations using SPSS for Windows version 17, showed that: thevalue of R Square (R2) illustrates that the Stock price (Y), can be explained by thefinancial performance amounted to 65.6%, while the rest 34.4%, can be explained byother factors, which are not included in this study. F Hypothesis test results, obtainedvalue of sig. (98,701)>(0.05), this means that there is influence of the current ratio, totalasset turnover , return on investment, and total debt to total asset ratio together againststock price. While the results of hypothesis testing t as follows: 1) sig. (0.000)< (0.05),which means that there is effect current ratio to stock price; 2) sig.(0.004) < (0.05),which means that there is effect debt to equity ratio to stock price; 3) sig.(0.846) >(0.05), which means that there is no effect total asset turnover to stock price; 4)sig.(0.000) (0.05), which means that there is no effect return on investment to stock price,and 5) sig.(0.700)>(0.05), which means that there is no effect total debt to total assetratio to stock price


Author(s):  
Anirbid Sircar ◽  
Kriti Yadav ◽  
Kamakshi Rayavarapu ◽  
Namrata Bist

2006 ◽  
Vol 39 (18) ◽  
pp. 41-46
Author(s):  
Emilie Péry ◽  
Walter C.P.M. Blondel ◽  
Cédric Thomas ◽  
Jacques Didelon ◽  
François Guillemin

1990 ◽  
Vol 205 ◽  
Author(s):  
P. Bacher ◽  
P. Wynblatt

AbstractMonte Carlo simulation, in conjunction with the embedded atom method, has been used to model the composition and structure of a semicoherent (001) interphase boundary separating coexisting Cu-rich and Ag-rich phases in a binary Cu-Ag alloy. The results are compared with earlier simulations of the same boundary in a Cu-Ag-Au alloy, in which Au was found to segregate to the interface, and the boundary was found to be unstable with respect to break-up into {111} facets. The boundary in the binary system is also unstable to faceting, but displays both {100} as well as {111} facets. It is concluded that Au segregation in the ternary alloy plays an important role in stabilizing the {111} facets. The interplay between the misfit dislocations present at the interface, and the compositional features of the boundary are also discussed.


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