Portfolio Optimization On Downside Risk Using Matlab + Analysis

I'm looking for someone who is well versed in using matlab and handling optimization approaches to code and write a detailed analysis. If you believe that you are the right person, feel free to apply. Please ensure that the codes contain comments as this will be used as a case study for students. First part: Collect adjusted close price daily data from Yahoo Finance from 10 securities - pple, Exxon Mobil, General Electric, J.P Morgan, Microsoft, Amazon, Dow Jones Industrial Average, Boeing, S&P 500 and US Aggregate Bond and convert to monthly log returns. Data collected from 01 Jan 2004 to 31st Dec 2016. Plot time series of returns for each security and check on persistence Second part: Create Matlab Codes for the following optimization approaches - Mean Variance Optimization, Conditional Value At Risk (CVaR), Conditional Drawdown At Risk (CDaR), Partitioned Value At Risk (PVaR), Coherent Partitioned Value At Risk (CPVaR). Following assumptions: No Transaction Cost, No Limitations on the amount of asset that can be held, no limitations on the amount that can be short sell. The weights of all returns must be equal to 1. Three investing strategies - minimum variance with no targeted return constraint, minimum variance with targeted return 15% constraint and maximum return. These will be split into conservative, moderate and aggressive investors. For CVaR, PVaR, CPVaR and CDaR, confidence level will be taken as 95%. The codes must be able to generate the optimal weights. For each risk measure, plot efficient frontiers for all three investing strategies in one graph (5 graphs). Then, plot efficient frontiers for each investing strategies in one graph. (3 graphs) Third part: Create Matlab Codes For Out of Sample Rebalancing. Plot graphs of all historical trajectories of optimal portfolio for each investing strategy. Create tables for each investing strategy and obtain terminal values, average return and average risk for each risk measure. For mixed rebalancing, the interval will be changed to six months instead of five months. If you have any questions, feel free to let me know. An analysis will be required after producing codes and graphs. Please kindly read through the reference papers that I've provided and see if it's something within your ability. Deadline is 18th Feb 2017. Let me know if you are able to meet the deadline. Cheers, Jerome