ECM1002: Econometrics Assignment Help
Question
ECM1002: This Econometrics assignment for La Trobe University, Australia requires students to produce a comprehensive report addressing key questions in two sections. The first section involves a literature review and analysis of the Fama-French asset pricing models, while the second section requires practical application of these models using Eviews software and data analysis. The data for Section 2 is stored in the “ECM1002_Assignmentdata.wf1” file available on LMS.
Solution
At OAS, our experts provide detailed and thorough ECM1002 Econometrics Assignment Help, ensuring students understand and effectively tackle each question. We guide students through the process of reading, analyzing, and synthesizing the relevant literature for Section 1 and using Eviews for data analysis in Section 2.
Section 1
Question 1: Advantages and Disadvantages of Fama-French 5-Factors vs. 3-Factors
Our experts start by carefully reading the seminal papers by Fama and French (1993, 2015) to understand the fundamental differences between the 3-factor and 5-factor models.
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Question 2: Literature Survey on Fama-French 5-Factor Model Applications
In this section, our experts have performed a comprehensive literature search to find recent applications of the 5-factor model in various domains, a snippet of which you can read below:
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Section 2
Question 1: Estimation of Fama-French 5-Factor Model
In this section, our experts have ensured that the Fama-French 5-factor model is estimated using the allocated industry return series. Eviews outputs, including the estimated coefficients and R², are carefully analyzed.
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Question 2: Significance of Estimated Coefficients
Following this, our experts evaluate the significance of the estimated coefficients using t-tests and p-values in this answer.
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Question 3: Model Specification Test
The appropriate statistical tests are conducted in Eviews, and outputs are analyzed in the next section by our experts:
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Question 4: Heteroskedasticity Test
Here, the Breusch-Pagan or White test is performed to check for heteroskedasticity in the residuals by our experts, a snippet of which you can read below:
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Question 5: Autocorrelation Test
Based on the test results, conclusions are drawn in this section about the presence of autocorrelation and potential remedies are suggested if needed.
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Question 6: Time Series Analysis and AR(1) Model Estimation
Finally, the results are discussed, including the adequacy of the model and whether the residuals show a white noise pattern.
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