Minimum Variance Portfolio Assignment Example | Topics and Well Written Essays - 500 words

Minimum Variance Portfolio - Assignment Example It shows the rates of stock for a year running. This MVP analysis was be preceded by the calculation of correlation matrix of the stocks as well as their standard deviation variance. Both this values are indicated in the Microsoft Excel attachment. During the calculation of the correlation matrix and the standard deviation variance, maple concepts were used. This section of the paper is going to test and prove the validity of the procedures and statements used in order to ascertain that no syntax errors were committed during the process. This can be proven as follows: Use of the colon and comma: in maple, statements must end with a colon and arguments separated with a comma (Monagan, Geddes et al., 14).For instance, during the development of correlation, for example, inStandard Life stock, we use the formula =CORREL(N3: JF3, N3: JF3). The comma shows the distinction between the two arguments while the colon relates one variable to the other. Use and match of parentheses: a maple can only be executed if the arguments are enclosed in parentheses. The opening parenthesis must be similar to the closing one(Monagan, Geddes et al., 19). In the attached case, all the males have the parentheses () matching in all stocks. The syntax provided is an M X M square matrix of stocks, as shown in the attachment. The correlation coefficient between i and j (for example between Standard Life and Resolution) is given by the (in) element. All diagonal elements are 1.0000 since this is a correlation of variables with themselves(Monagan, Geddes et al., 59). Divide the value of each stock with its proceeding one and subtract one from the result; which in our instance we are going to take Standard Life as an example. The standard deviation presented on 1/1/2013 is determined as the value of the stock on 1/1/2013 divide by the value of 31/12/2012 and subtract one from the result. Mathematically, this is: (332.1/334.6) – 1 to get -0.0075. We do the same for the standard deviation of all stocks for each day, and this has been done on the red coloured parts of the Excel attachment that extends from cell N3 to cell JG3.  Ã‚  

Quantitative research Essay Example | Topics and Well Written Essays - 2500 words

Quantitative research - Essay Example Infant Mortality Rate: It is defined as the number of infant deaths in a given year divided by the number of live births in the same year. Normally, it is expressed per 1,000 live births. Or stated otherwise it is an estimate of the number of infant deaths for every 1,000 live births. Infants are children defined as less than one year of age. How does infant mortality rate affect birth rate? About 25,000 infants die each year. The loss of an infant remains a traumatizing reality for many families and takes a serious toll on the health and well-being of the affected families. It also significantly affects demographic structure of a given country. The risk of a child dying before completing the first year of age was highest in the WHO African region (63 per 1000 live births), about six times higher than that in the WHO European region (10 per 1000 live births). 63 deaths per 1000 live births in 1990 to 35 deaths per 1000 live births in 2012. Annual infant deaths have declined from 8.9 million in 1990 to 4.8 million in 2012. What leads to infant mortality rate? Infant mortality rate is significant in that, it is used as an indicator to measure the health and well-being of a nation. This is because the factors affecting the health of the entire populations can also impact adversely on the mortality rate of infants. The keys causes of infant mortality include; 1 Â   Born too small and so prematurely- this are babies born before the completion of the entire gestation period. It’s obvious that such babies are mainten aid in the baby incubators until they achieve the required age. However, it sometimes unfortunate that such babies don’t make it, due to circumstances that above the control of the responsible medics. Victims of Sudden Infant Death Syndrome (SIDS) - this is a gracious syndrome that causes abrupt and un-anticipated death of new born babies. At times, such deaths lack medical justification and explanations as to why they