代写ECOM209、代写R编程设计

日期：2023-04-09 11:08

Assessed Project

Submit online via QMplus before 23:59 London Time on Friday 28th April 2023

ECOM209 R for Finance

This project carries a maximum of 100 marks. A 50% weighting will be applied to your overall

ECOM209 module score for completion.

You are required to submit a typed document in Word or PDF format containing written analysis

together with any supporting tables, graphics and R code you think is necessary.

The work required is detailed on the next page. Your code and analyses are required in R.

This project has an maximum word count of 2500 words excluding R output and any code that

you submit.

This project must be your own work presented in your own words.

Examiner: Dr R.A. Saldanha

? Queen Mary University of London, 2023

Page 2 Project Coursework: Semester B ECOM209 (2023)

Private Equity Performance Measurement

Internal Rate of Return (IRR) and Multiple on Invested Capital (MOIC) are two well known

performance metrics commonly used by private equity firms. Explain what these metrics are, how

they are used and how to compute them. In addition, discuss their respective advantages and

disadvantages.

Create a suite of R functions that can be used to analyse private equity data. In particular, you

should include functions to compute IRR and MOIC as well as supporting functions for producing

graphs and data summaries. You may find that the synthetic data on European Energy deals from

Lecture 2 provides a useful example dataset for your code development.

Consider other metrics that might be useful in assessing the merit of a private equity deal.

Consider their relative strengths and weaknesses in comparison with IRR. If appropriate, code and

apply these metrics in R also.

Feel free to present data on any interesting private equity projects you have found during the

course of your research. These data may be real or synthetic taken from papers or other sources

but be careful not to present anything that is in any way confidential or proprietary.

Provide suitable summary conclusions on your project as a whole. You may find the paper by

Magni & Marchioni (2020) and the references therein useful for your project generally.

Reference

Magni, C.A. and Marchioni, A. (2020) Average rates of return, working capital, and

NPV-consistency in project appraisal: A sensitivity analysis approach. International Journal of

Production Economics 29. https://doi.org/10.1016/j.ijpe.2020.107769.