Business Analytics
3rd Edition
ISBN: 9780135231678
Author: Evans, James R. (james Robert)
Publisher: PEARSON EDUCATION (COLLEGE)
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Chapter 3, Problem 4.1CYU
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The class will include a data exercise where students will be introduced to publicly available data sources. Students will gain experience in manipulating data from the web and applying it to understanding the economic and demographic conditions of regions in the U.S. Regions and topics of focus will be determined (by the student with instructor approval) prior to April. What data exercise can I do to fulfill this requirement? Please explain.
Consider the ceocomp dataset of compensation information for the CEO’s of 100 U.S. companies. We wish to fit aregression model to assess the relationship between CEO compensation in thousands of dollars (includes salary andbonus, but not stock gains) and the following variates:AGE: The CEOs age, in yearsEDUCATN: The CEO’s education level (1 = no college degree; 2 = college/undergrad. degree; 3 = grad. degree)BACKGRD: Background type(1= banking/financial; 2 = sales/marketing; 3 = technical; 4 = legal; 5 = other)TENURE: Number of years employed by the firmEXPER: Number of years as the firm CEOSALES: Sales revenues, in millions of dollarsVAL: Market value of the CEO's stock, in natural logarithm unitsPCNTOWN: Percentage of firm's market value owned by the CEOPROF: Profits of the firm, before taxes, in millions of dollars1) Create a scatterplot matrix for this dataset. Briefly comment on the observed relationships between compensationand the other variates.Note that companies with negative…
6 (Model Selection, Estimation and Prediction of GARCH) Consider the daily returns rt
of General Electric Company stock (ticker: "GE") from "2021-01-01" to "2024-03-31",
comprising a total of 813 daily returns. Using the "fGarch" package of R, outputs of
fitting three GARCH models to the returns are given at the end of this question.
Model 1 ARCH (1) with standard normal innovations;
Model 2
Model 3
GARCH (1, 1) with Student-t innovations;
GARCH (2, 2) with Student-t innovations;
Based on the outputs, answer the following questions.
(a) What can be inferred from the Standardized Residual Tests conducted on Model 1?
(b) Which model do you recommend for prediction between Model 2 and Model 3?
Why?
(c) Write down the fitted model for the model that you recommended in Part (b).
(d) Using the model recommended in Part (b), predict the conditional volatility in the
next trading day, specifically trading day 814.
Chapter 3 Solutions
Business Analytics
Ch. 3 - Explain the pros and cons of tabular versus visual...Ch. 3 - How is data visualization used in descriptive,...Ch. 3 - Summarize the most useful charts available in...Ch. 3 - Prob. 2.2CYUCh. 3 - Prob. 2.3CYUCh. 3 - Prob. 2.4CYUCh. 3 - Prob. 3.1CYUCh. 3 - What is a heatmap, and what are some typical...Ch. 3 - Prob. 3.3CYUCh. 3 - Prob. 4.1CYU
Ch. 3 - Prob. 4.2CYUCh. 3 - Prob. 4.3CYUCh. 3 - Create clustered column and stacked column charts...Ch. 3 - Prob. 1.2PECh. 3 - Prob. 1.3PECh. 3 - Prob. 1.4PECh. 3 - Prob. 1.5PECh. 3 - Prob. 1.6PECh. 3 - Prob. 1.7PECh. 3 - Prob. 1.8PECh. 3 - Construct a column chart for the data in the Excel...Ch. 3 - The Excel file Internet Usage provides data about...Ch. 3 - Construct an appropriate chart to show the...Ch. 3 - Construct an appropriate chart or charts to...Ch. 3 - Prob. 1.13PECh. 3 - In the Excel file Banking Data, apply the...Ch. 3 - Prob. 1.15PECh. 3 - Prob. 1.16PECh. 3 - Prob. 1.17PECh. 3 - Prob. 1.18PECh. 3 - Create a useful dashboard for the data in the...Ch. 3 - Prob. 1.20PECh. 3 - Prob. 1.21PECh. 3 - Prob. 2.1PECh. 3 - Prob. 2.2PECh. 3 - Prob. 2.3PECh. 3 - Prob. 2.4PECh. 3 - Use PivotCharts to create a useful dashboard for...Ch. 3 - Prob. 2.6PECh. 3 - Prob. 2.7PECh. 3 - Prob. 2.8PECh. 3 - Use PivotCharts to create a useful dashboard for...
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