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APRMProject
1 Selecting the Data
2.1 Standard Markovitz
2.2 Tackling Estimation Error
1. Use the MVP:
2. No short selling constraint:
3. Maximum weights of 50%/100%:
Standard in blue, max weight 100% purple,max weight 50% yellow,no short selling orange.
For the maximum weight 50% and 100% constraint, the minimum variance portfolio occurs at the same point as with the standard approach. For the no short selling constraint, however, the minimum variance portfolio has a higher standard deviation. We find that all the constraints shrink the frontier, with the no short selling constraint producing a completely different frontier. The maximum weight 50% constraint diverges from the standard approach for most positive values and keeps going further away, and the maximum weight 100% constraint takes longer to diverge from the standard approach.
Simulate 2000 coin flip experiments with a biased coin with "success" probability (chance of 1) p = 1=5. Plot an outcome of the proportion of successes with respect to the number of coin flips. Supply your code.
Write a program to compute A. Test it with P = $55,000 and interest rate of 6.6% (i = 0.066). Compute results for n = 1, 2, 3, 4, and 5 and display the results as a table with headings and columns for n and A
i attached the instructions. ltbrgt ltbrgtwould you guys do it by 50 dollars ? ltbrgt ltbrgtit is due this friday
Summarize all of your results in a separate section at the end. Compare your results from Step 03, and Step 04. Which of the two algorithms yields the best result? Why?
a two inch diameter craft ball is thrown vertically. this initial velocity of the ball is 20 fts.a. neglecting drag
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The sole assignment is to write a Matlab function dtmfdecode that decodes DTMF tones and produces a transcript of the number that it encodes.
water at an average temperature of 47 ordmc and with a flow rate of 0.02 kgs flows through a 2 cm diameter tube which
Write the MATLAB code to create a 1x3 vector containing the elements [1,2,3]. Additionally, write the MATLAB code to create a 3x1 vector with the same elements.
Discuss the limitations of a linear classifier. What are some ways in which these limitations could be overcome - Discuss the limitations of the naive nearest neighbor algorithm. What are some ways in which these limitations could be overcome?
MATLAB: Create a function that will use the Secant method
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