AcF 602 Advanced Investment Management Lent term 2021/2022
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AcF 602 Advanced Investment Management
Lent term 2021/2022
Overview
Students enrolled to AcF 602 are compulsory to complete the following coursework assessment as a part of fulfilment. The coursework contributes 20% toward the overall mark for the module. The assignment includes 3 tasks.
Group Allocation
Each group should include no more than three group members. Group registration should be completed via Moodle.
Assignment Deadline
12:00 (noon) on Monday 4 April 2022
Submission Requirement
All groups should submit Python codes and reports before the deadline. You only need to submit the electronic version in Moodle.
Cover Sheet:
You should include your group details on the first page of your report. Following details should be included: Full names and student IDs of group members
Style Requirement
Times New Roman, font size 12, 1.5-spaced. The main text must be consistently formatted (i.e., avoid modifying the font, size and colour). Use page numbers.
Word limit
Task 1 – 500 Words
Task 2 – 1500 Words
Task 3 – 500 Words
Coursework Assignment
Task 1 [30 marks]
Each group should obtain monthly returns for two US equity mutual funds from the CRSP (including one large value and one small growth) from January 2010 to December 2020. You may find fund categories from website such as ‘US News Money’ . Perform the Fama-French five-factor regression for each of the return series and address the questions (1)-(2) as below.
(1) Construct five factors by yourself and compare your replicated results with constructed factors from French Data Library. Please include detailed explanations and clearly output your results in coding that you submit. 1 [20 marks]
(2) Interpret your regression results [10 marks]
Task 2 [40 marks]
Task 2 is related to the relation between ESG risk and future stock return. Adopting RepRisk Index (RRI) as the proxy for ESG risk, test the relation between ESG risk and future 1-month stock return with control variables (Student should choose their own control variables). The sample includes common shares listed on NYSE, AMEX and NASDAQ from January 2007 to December 2020.
(1) Report and interpret your results [20 marks]
(2) Discuss the debate on whether ESG risk (performance) is positively, negatively related or unrelated to stock performance and express your views based on your empirical results [20 marks]
Task 3 [30 marks]
Task 3 is related to the textual analysis and machine learning. Each group should choose a US listed company and download the 10-Q reports (quarterly reports) from 2010Q1 to 2020Q4. Then answer the following questions:
(1) Calculate the similarity score (cosine similarity) between quarterly reportsfrom t-
1 to t andplot your results [10 marks]
(2) Use LM negative word list to test the tone of quarterly reportsfrom your chosen company andplot your results [10 marks]
(3) Draw word clouds of quarterly reportsfrom your chosen company and briefly explain thefigures [5 marks]
(4) Assess whether the daily return in thefiling date can be explained by the similarity score or the negative tone [5 marks]
2022-04-13