Explain the regression models

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Reference no: EM131768872 , Length: word count:4000

The coursework for the module consists of one piece of work comprising up to 4,000 words that aims to test your understanding of underlying principles of quantitative research in the social sciences, with a particular emphasis on accounting and finance contexts. The coursework will contribute 100% of the total mark for the module. The coursework requires you to perform and present regression analysis of data, accompanied by a commentary that explains the tests performed, the interpretation of these tests in the context of accounting and finance, and a brief critical evaluation of the method used.

PART 1: TEST OF CAPM

The spreadsheet S:/Teaching/Research Methods/Coursework - Pricing Factors 17- 18.xls contains the monthly market (mkt_rf), size (smb), book-to-market (hml) and momentum (umd) asset pricing factors for US stocks from July 1975 (1975m7) to June 2016 (2016m6). It also contains the monthly returns of six portfolios3 sorted by size and book-to-market ratios (B/M) for any additional analysis if possible.

(Note: all the pricing factors and industry portfolios are already in returns, they are not prices!)

REQUIRED:

Use these asset pricing factors to test the validity of the Capital Asset Pricing Model (CAPM) for your industry portfolio returns. Write a detailed commentary to explain the regression models, hypothesis testing, diagnostic tests and analysis of residuals that you are using and interpret your findings. Your commentary should include the following:

(a) An explanation of the theories and models being tested with reference to the literature,
(b) A statement of coefficient values under the null hypotheses,
(c) Summary statistics and correlation matrix,
(d) Presentation of regression results,
(e) Interpretation of hypothesis testing on coefficients,
(f) Diagnostic tests to evaluate the goodness of fit of your regression model,
(g) Analysis of residuals to explain the possible bias, demonstrate how these potential bias may be corrected, and discuss any differences in results after adjusting for the bias.
(h) Any other data, tests, or information that you feel are interesting and relevant.

PART 2: DETERMINANTS OF AUDIT FEES

Your spreadsheet (AUDITx.csv) contains a random sample of a cross section of 5,000 UK firms. For each firm, you have been provided with the following variables:

(a) log of audit fee (logafee);
(b) log of sales (logsal);
(c) log of total assets (logta);
(d) number of subsidiaries (nsubs);
(e) exports divided by sales (expsales);
(f) total liabilities divided by total assets (gearing) (tlta);
(g) return on total assets (retta);
(h) current assets divided by current liabilities (cacl);
(i) a dummy variable to indicate if the firm's audit is performed by one of the big four auditors (big4).

REQUIRED:

Use the data on the variables listed above to investigate whether firm characteristics explain the cost of audit. Write a detailed commentary to explain the regression models, hypothesis testing, diagnostic tests and analysis of residuals that you are using and interpret your findings. Your commentary should include the following:

(a) An explanation of how and why these variables could explain audit fees,
(b) A statement of coefficient values under null hypotheses,
(c) Summary statistics and correlation matrix,
(d) Presentation of regression results
(e) Interpretation of hypothesis testing on coefficients,
(f) Diagnostic tests to verify the validity of your regression model,
(g) Analysis of residuals (no need check autocorrelation as this is cross-sectional data),
(h) Any other information or tests that you feel are relevant.

PART 3: A CRITICAL EVALUATION OF THE METHOD USED (1,000 WORDS)

Finally, you are required to critically compare quantitative research methods (i.e., OLS regressions) with qualitative research methods (e.g., case study, interviews, etc.), in terms of validity, reliability, and generalizability. Before the evaluation, you must first define these three concepts with reference to the relevant literature on research methods.

You may also explain whether and how qualitative research methods may be applied in accounting and finance research to address the limitations of quantitative methods. You may also explain briefly the philosophical stances behind these research methods.

Part 3 should not exceed 1,000 words.

OTHER REQUIREMENTS:
- Use Times New Roman, font size 12.
- No indentation for the first paragraph of each section, then indent from the second paragraph onwards.
- 1.5 or double line spacing.
- Make sure there are no typos (you will lose marks for obvious typos, e.g., CAMP instead of CAPM).
- Writing an Abstract is not necessary.
- Put tables and figures (if any) in the main text.

Reference no: EM131768872

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Reviews

len1768872

12/16/2017 2:20:20 AM

Referencing & Use of Source Material A comprehensive range of appropriate materials/literature: references are well incorporated and presented accurately using the Harvard system A wide range of appropriate materials/literature: references are well incorporated and presented accurately using the Harvard system The work makes use of a relevant but not wide range of sources; may be unsubstantiated at times; not all cited correctly Limited reading has been undertaken; may be an over-reliance on a few sources, references not always cited properly Evidence of only superficial use of; references are not integrated well and/or cited inaccurately.

len1768872

12/16/2017 2:20:11 AM

Structure Creative use of structure and connections between sections to reflect a well constructed and original argument. The work is very well structured. Structural devices (Language & paragraphing) enhance the work. Links between introduction and conclusion are sufficiently developed; there is a logical argument evident Relationship between introduction and conclusion is limited. Planning appears to be weak; structure may not be appropriate It is sometimes difficult to trace the logic. Communication A very high academic and professional standard, with creativity in the use of language. Accurate and well presented data. The work is clearly expressed in an appropriate style, points are made with clarity, care has been taken to ensure accuracy of punctuation, spelling & grammar. Mode of communication is appropriate and coherent; expression is clear; occasional errors may detract from the accuracy. Ideas are expressed reasonably but at times points are not made clearly. Ideas not expressed with sufficient clarity. Poor flow sequence and consistency.

len1768872

12/16/2017 2:20:04 AM

Quality of Analysis Accurate data aggregated and sorted for logical connections using the most relevant tools, rigorously and critically interpreted . Own approach to analysis is evaluated. Evidences creative insights There is evidence of critical analysis, systematic analysis of source material. There is an evaluative approach throughout much of the work, useful links are drawn between theoretical aspects and practical case examples Development of analysis not entirely consistent; work is primarily descriptive; material is from a variety of sources & theory & practice both present but not in depth. The work is descriptive and sometimes superficial, there is little consideration of alternative views & balance between theory and practice is uneven Little attempt to interpret material. Consideration of theoretical issues is limited.

len1768872

12/16/2017 2:19:57 AM

Assessment Criteria Scale Criteria Excellent Good Fair Poor Very Poor Knowledge & Understanding Outstanding. Original in content or approach. Coherent and clear. Comprehensive coverage, analysis, application and evaluation. Coverage of the topic is in great depth, detail is accurate throughout: independence of thought is clearly evident, there is good identification and understanding of key issues. Most relevant issues are covered with reasonable understanding : development of discussion demonstrates adequate knowledge; most central issues are identified. Some relevant issues are covered. Little evidence of independent thought, discussion shows partial understanding of the subject. Levels of understanding and knowledge are often superficial. The detail is slight and not always relevant

len1768872

12/16/2017 2:19:35 AM

You are required to consult academic journal articles of good quality1 and textbooks, where appropriate. Please remember to reference your sources using an appropriate citation system (such as Harvard style). Essays will lose marks for poor referencing. Guidance and tutorials for the Harvard referencing style This part is not about the assumptions and limitations of the classical linear regression model.]COVER SHEET: Please ensure you attach a cover sheet to your assignment. The cover sheet should contain the following information: your student number, module code, module title, date submitted, and word count. The template of the cover sheet will be uploaded to Learning Central. You are free to choose the title for this essay.

len1768872

12/16/2017 2:18:57 AM

The deadline for submission of your assignment is . The assignment should be submitted electronically to the Learning Central. The submission portal will become active approximately about 4 weeks before the deadline. The assessed coursework must be entirely your own work. Severe penalties will be imposed on students who are found guilty of plagiarism. You are referred to your module catalogue for further details about referencing. In addition, in an attempt to prevent plagiarism, you will be provided with a unique data set for the assignment. Details of where you can find your data are provided overleaf.

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