coventry m099lon risk analysis and financial modelling compare and contrast dierentapproaches

1. Understand the essential foundations of time series models.
2. Demonstrate an ability to compare and contrast dierentapproaches to modelling and forecasting nancial data.
3. Use a number of methods to estimate volatilities and correlations of nancial time series.
4. Implement econometric procedures for estimating and interpreting data and quantitative relationships in nance.
5. Be conversant on methods of risk measurement and risk nance theory.
6. Be conversant on the subject of market risk analysis and the basic models for assessing market risk and other risk.
7. Able to discuss default and recovery risk, credit ratings and credit scoring models
This coursework is designed to test your hand on skills of building nancial econometrics models in evaluating market risks and forecasting nancial time series trend and your academic writing skills in presenting and interpreting the outcome for implications in nance. You are required to produce your individual submission. Select a nancial time-series dataset and apply several risk analysis approaches for estimating the volatility and future trend of the selected time series data. You can choose any type of nancial time series indicator, such as stock returns, interest rates, exchange rates, option prices etc. Your selected data could be daily or monthly for a number of years to ensure a minimum 100 observatons
You have been asked to produce a report. It should contain the following: Appropriate coversheet
Main body, which should also be organised under appropriate headings.
Appendices, which should be numbered.
Make sure you refer your reader to them as required.
Your work should be word processed in accordance with the following:
line spacing.
The page orientation should be portrait
Margins on both sides of the page should be no less than 2.5 cm
Pages should be numbered
Your name should not appear on the script.
Your student number should be included on every page.

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