3 Python Questions to be answered

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Hi I have attached the question sheet with the three Python problems which must be addressed. Please use Google Collab to complete this assignment. I have also attached the two datasets which must be used to answer the questions. I need the writer to have a high standard of English also. Please inform me if you can answer these problems and if you have any questions relating to the assignment. I will send the datasets when an expert has been found

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Additional Instructions:
EF308 – Econometrics and Forecasting Workbook 2 # Updated February 9th – to remove page limit # Updated March 11th – to allow some group work This is the second of two workbooks you are asked to complete for the EF308 module. This workbook is worth 50% of the full module grade and relates to material covered in Part 3 (Financial Testing and Forecasting) of the module. You are asked to complete the workbook, including the written responses, in a Python document. See the video recorded for the first assignment (in the Assessment Tab on Loop) for how to do this. When you are finished the workbook, you should do the following: • Download the .ipynb file (the python file) • Print to PDF the .ipynb file with every cell run • Upload both files to the Assignment 2 part of Loop The assignment is due for submission by April 12th 2021. A big part of using Python effectively is to use codes that others have developed, so as not to duplicate efforts. You are, therefore, allowed to use code from elsewhere as part of answering this assignment. You are allowed to work on this assignment with one other person from your class. You should name that person in your submitted assignment. You are allowed to have 80% of words in common with that person in your submitted assignment, but your grade awarded will be individual (but will presumably be quite similar). What I’m therefore allowing you to do is to work in a team, but asking you to put the finishing touches on the assignment yourself. Please try not to ‘over-answer’ the workbook. The total writing should be about 1500 words. A good answer should be quite comprehensive, but also not needlessly wordy. The assessment For the dataset, IrishBanks.csv, load the dataset in Python and answer the following questions / requests, including showing all code used. The dataset contains the stock prices of two Irish banks – AIB and Bank of Ireland (BoI): 1. Describe both banks individually using any appropriate descriptive statistics and visuals, including ARMA processes and unit roots. [30 marks] 2. Forecasting: [40 marks] a. Show how you might forecast both series individually using their ARMA processes. [10 marks]. b. Analyse the volatility of both series individually and demonstrate how a GARCH process can be used to model their volatility. [15 marks] c. Develop a VAR model of the two series and show how one series might influence the other. [15 marks]. Lastly, returning to the dataset that you used in the first assignment, HousePrices.csv, you are asked to: 3. Use appropriate machine learning techniques to develop a model to explain house prices. [30 marks]

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