5QQMN534: Algorithmic Independent Final Assignment Questions (75% Total Weight) Individual Assignment: Information • Start Date: 31/03/2023 10am • End date: 28/04/2023 10am • Part A: Practical Coding: 3 questions. 70% • Part B: Theory: 3 questions 30% • Questions have sub marks. • Total mark is scored out of 100. Content covered: • Practical Python […]
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# -*- coding: utf-8 -*- # 5QQMN534 22-23 # Candidate Number: # Do not enter Name #%% QUESTION3: Backtest RSI Strategy Do not use libraries for the RSI technical indicator. Write the mathematics for the Wilder Smoothing RSI indicator yourself. Write the functions and mathematics for portfolio metrics Use log returns #%% Set dir and
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# -*- coding: utf-8 -*- # 5QQMN534 22-23 # Candidate Number: # Do not enter Name #%% QUESTION 1: Resampling Returns Data #%% a) Read in the msft_returns.xlsx file provided in Q1_data folder into a DataFrame and name the variable returns #%% b) Calculate the Simple Returns of the MSFT Adjusted CLose Data in a
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MMA 861 MARCH 2023 Individual Assignment 3: Simulation If you have any questions regarding this assignment, please feel free to contact Andy Hu the teaching assistant for this course. Feel free to cc me in your email. Instructions for Standard Printouts of @Risk Simulation Models The @Risk simulation standard printouts should consist of three sheets.
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Due date: Possible Score: Work required: Submission: April 9, 2023 (Sunday) 11:59 PM (PST) This project can be done alone or in teams with up to 2 people. If you are going to work as part of a team, I must receive an email by Friday (2/17/2023) with the name of both team members; otherwise,
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CIT 593 | Assignment 10: Intro to C and its Development Environment | 1 Setting up Codio for this assignment 1) Open the Codio assignment via Coursera 2) From the Codio File-Tree click on: program1.c Problems #1-3: Basic I/O in C Recall in Assembly that performing I/O involved calling a TRAP. TRAP_PUTS – wrote an
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CSE12 Lab 4: Simple CSV File Analysis Due March 15th 2023 , 11:59 PM Minimum Gradescope Submission Requirements Ensure that your Lab4 submission contains the following files: ○ lab4w23_testbench.asm ○ allocate_file_record_pointers.asm ○ income_from_record.asm ○ length_of_file.asm ○ maxIncome.asm ○ minIncome.asm ○ totalIncome.asm ○ data.csv This lab takes as input a CSV (comma separated values) file (.csv
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ECS 132 Covert Timing Channels Proect This Jupyter notebook is a property of the University of California and copyrighted by Dipak Ghosal. Only personal use for ECS 132 class is allowed. Uploading this to any shared site is a violation of the University of California copyright laws A Project on Covert Timing Channels¶ Instructions¶ 1.
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City University of Hong Kong Department of Economics and Finance Course EF5213 Assignment #1 ( due February 5, 2023) 1. In the Exponentially weighted moving average model (EWMA), future variance is a weighted average of its immediate past estimation and the most recent observation of squared residual of price return. It follows an iteration equation
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Unit 1 Individual Assignment. You must upload an Excel spreadsheet for your assignment, with formulas showing all calculations. Please name your file “Lastname, Firstname Unit 1”. Please answer the following questions. All numbers should be in thousands of dollars. Problem 1 Construct an Income Statement for Maxus Manufacturing, for the year ending December 31, 2021,