Resources Help Center
Welcome to the Resources page. Here you will find helpful links to materials used in the course. This page will be updated as the course progresses so check back frequently.
Lecture Slides
Here you can find the weekly lecture slides shown in the video lectures. You will need a PDF viewer (such as Adobe Acrobat) to view them.
Week 3: Probability Review Continued
Week 5: Descriptive Statistics
Week 6: Constant Expected Return Model
Week 8: Introduction to Portfolio Theory
Week 8: Portfolio Theory with Matrices
Week 9: Portfolio Theory with No Short Sales
Week 9: Statistical Analysis of Efficient Portfolios
Week 10: Portfolio Risk Budgeting
Week 10: Estimating the Single Index Model
Powerpoint Example Slides
These contain the powerpoint slides of the R examples each week.R Probability Examples: R probability examples from Weeks 2 & 3
R Matrix Examples: R matrix examples from Week 3
R Time Series Examples: R time series examples from Week 4
R Descriptive Statistics Examples: R examples from Week 5
Descriptive Statistics Examples for Daily Data: Examples from Week 5 for daily data
R CER Model Examples: R Examples from Week 6
R Bootstrap Examples: R Examples from Week 7 on Bootstrapping
R Hypothesis Testing Examples: R Examples from Week 7 on Hypothesis Testing
Portfolio Theory Examples: R Examples from Week 8 on Portfolio Theory
Portfolio Theory with Matrices Examples: R Examples from Week 8 on Portfolio Theory with Matrices
R Portfolio Functions: Examples of Eric's portfolio functions for R
R Examples for Portfolio Functions with no short sales: R Examples from Week 9 on Portfolio Theory with no short sales
Statistical Analysis of Efficient Portfolios: R Examples from Week 9 on Statistical Analysis of Efficient Portfolios
Single Index Model Examples: R Examples from Week 10 on Single Index Model
R Tutorials and Guides
These are some helpful guides on how to program using R. They are useful for both new and experienced R programmers. They also require a PDF viewer to open.
Interactive introduction to R on the DataCamp platform. Excellent!
R Introduction: An introductory presentation on R. Very useful if you have never used R before. Includes information on how to install packages.
R Introduction scripts: The R scripts used in the R introduction presentation.
An Introduction to R: A more in depth guide on using R.
Return Calulations in R: A short presentation on how to perform return calculations using R. (Requires a PDF viewer)
Return Calculations in R script : The R script used in the Return Calculations in R presentation.
Excel
Return Calculations Examples : The Excel file used in the Excel Demos from Week 1.
probReview.xls: Excel probability examples
matrixReview.xlsx: Excel matrix examples
cerExample.csv: CER Model data
IntroPortfolioTheory.xls: Portfolio Theory Excel Example
lab8returns.csv: Data used in lab 8
3firmExample.xls: 3 Firm example from class
singleIndexPrices.xls: Price data for single index model
lab9returns.csv: Data used in lab 9
R Scripts
econ424lab1.r: The R script you are to use in the Week 1 programming assignment.
lab3.r: The R script you are to use in the Week 3 programming assignment.
lab4.r: The R script you are to use in the Week 4 programming assignment.
lab5.r: The R script you are to use in the Week 5 programming assignment.
lab7.r: The R script you are to use in the Week 7 programming assignment.
lab8.r: The R script you are to use in the Week 8 programming assignment.
lab9.r: The R script you are to use in the Week 9 programming assignment.
probReview.r: R probability examples
matrixReview.r: R matrix examples
timeSeriesConcepts.r: R time series examples
descriptiveStatistics.r: R descriptive statistics examples
cerModelExamples.r: R CER Model examples
bootStrap.r: R Bootstrap examples
hypothesisTestingCER.r: R Hypothesis Testing examples
portfolio.r: R portfolio code
testport.r: Examples of using R functions for portfolio analysis with short sales
portfolio_noshorts.r: R functions for portfolio theory
portfolioTheoryNoShortSales.r: R functions for portfolio theory
rollingPortfolios.r: R code for statistical analysis of portfolios
singleIndex.r: R code for single index model
R packages
The following R packages will be used in class. We will learn more about these later in the course. Check out the R tutorial section above for more information on how to install them.
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zoo: Z's ordered observations
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tseries: Time series analysis and computational finance
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TSA: Time series analysis.
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xts: Extensible time series
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Vignette: xts: Extensible Time Series.
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mvtnorm: Multivariate normal and multivariate t distribution.
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Vignette: Using mvtnorm.
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boot: Bootstrap R Functions.
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quadprog. Functions to solve Quadratic Programming Problems.
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fPortfolio. Rmetrics - Portfolio Selection and Optimization
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PerformanceAnalytics: Econometric tools for performance and risk analysis
Last Modified Wed 6 May 2015 8:33 PM CEST