Question:

Looking for someone who can Help me with the Risk Modeling and Assessment Assignments using Rstudio.

Financial Modeling

Part A - Individual Security Returns

Need to Calculate Returns

we need to Calculate portfolio price returns for the homework period

2. Need to Dividend reinvestment strategy

a) Please Calculate portfolio total gross returns for the homework period

b)We need to Calculate portfolio logarithmic gross returns for the homework period

3. Plot a comparison of Total Price returns and Total Gross

on a 7 -point Likert scale. A researcher investigates if the level of testosterone influences the level of risk-taking behaviour among adolescents. Risk taking behaviour is measured This is an example of: O Univariate statistics with testosterone as independent variable O Bivariate statistics with testosterone as independent variable O Univariate statistics with testosterone as dependent Quiz Took O Bivariate statistics with testosterone as dependent variableA subset of individuals from whom data are collected Sample [ Choose Univariate statistics Numbers and graphs used to provide Continuous variables basic information about a sample Descriptive statistics Bivariate statistics Population An entire group of individuals from Cumulative percentages whom we are usually unable to collect Dispersion Central tendency data but to whom we want to make Sample inference Inference Methods used to describe a single Univariate statistics variable Statistics describing the middle of a Central tendency distribution The process of using a sample to Inference describe a population Statistics describing the spread of a Dispersion distribution Methods used to describe the Bivarlate statistics relationship between two variables[1\"] 1-3 Suppose L is the line in R3 dened by (3353] = {2:311] + 1[1,D,1]where DO :1 r on Find a if [4,3,0] is a paint an L. 1.4- Explain the difference between a singular and a nun-singular matrix. Show that a nunsingular matrix must be square. [2] Multivariate linear model Use vector notation to express the Consider the dataset below where a, multivariate linear model b and c are three predictors and y is the desired response. ai bi Ci yi 0 9 5 2 1 8 3 4 What are X and Y in the MMSE 2 5 6 exact solution w = (XTX) XTY? 3 6 3 8 4 5 5 10 A multivariate linear model for the response will be expressed as y = Wo + Waa + wob + WcC