Publications by Ryan Masingill
Term Project
Q1 What is the title of the finance student competition you may consider competing? Hint: You may Google search something like “student competitions in finance”. CFI Financial Modeling Case Competition Q2 Describe the eligibility requirements, if any (e.g., undergraduate college student). This is open to undergraduate college students, gradua...
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Quiz1_Makeup
Use the given code below to answer the questions. ## Load package library(tidyverse) # for cleaning, plotting, etc library(tidyquant) # for financial analysis ## Import data stocks <- tq_get("AAPL", get = "stock.prices", from = "2016-01-01") stocks ## Visualize stocks %>% ggplot(aes(x = date, y = close)) + geom_line() Q1 Import Microsoft s...
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Quiz 6
This note came from Matt Dancho’s webpage. Factor models are used in many financial appplications, suhc as: identifying the determinants of a security’s return cost of capital (rate of return required by an investor to hold the share) calculations Capital Asset Pricing Model (CAPM) is the most popular factor model. Although CAPM does not pe...
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Quiz 5
Q1 Import stock prices of NASDAQ Compsite Index, Microsoft and Walmart for the last 30 years. Hint: Add group_by(symbol) at the end of the code so that calculations below will be done per stock. ## Warning in system("timedatectl", intern = TRUE): running command 'timedatectl' ## had status 1 ## # A tibble: 22,677 x 8 ## # Groups: symbol [3] ## ...
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Quiz 4
Q1 Import Tesla for the last ten months. Hint: Revise the given code below. library(tidyquant) library(tidyverse) # Import data from = today() - months(10) stock <- tq_get("TSLA", get = "stock.prices", from = from) stock ## # A tibble: 209 x 8 ## symbol date open high low close volume adjusted ## <chr> <date> <dbl> <dbl> <...
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Quiz 3
# Load packages library(tidyquant) ## Loading required package: lubridate ## ## Attaching package: 'lubridate' ## The following object is masked from 'package:base': ## ## date ## Loading required package: PerformanceAnalytics ## Loading required package: xts ## Loading required package: zoo ## ## Attaching package: 'zoo' ## The following...
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Quiz3-b
stock.prices economic.data Merge Plot Q1. stock.prices Import S&P500 since 1999. Hint: Google tidyquant::tq_get() to find example codes. Q2. Prepare the imported stock prices for merge. Hint: Calculate yearly returns; create a new variable, year; and drop date. Q3 economic.data Import real U.S. GDP growth since 2000. Hint: Find the symbol in ...
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Importing Financial Data
Q1. dividends Import dividends of Apple and Microsoft since 2010. ## Warning: x = 'WMT', get = 'dividends': Error in vapply(parse(text = fr[, 2]), eval, numeric(1)): values must be length 1, ## but FUN(X[[1]]) result is length 2 ## Removing WMT. ## Warning: x = 'TGT', get = 'dividends': Error in vapply(parse(text = fr[, 2]), eval, numeric(1)): ...
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Quiz 2
In this exercise you will learn to plot data using the ggplot2 package. To answer the questions below, use Chapter 4.3 Categorical vs. Quantitative Data Visualization with R. # Load packages library(tidyquant) ## Loading required package: lubridate ## ## Attaching package: 'lubridate' ## The following object is masked from 'package:base': ## #...
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Quiz 1
Use the given code below to answer the questions. ## Load package library(tidyverse) # for cleaning, plotting, etc library(tidyquant) # for financial analysis ## Import data stocks <- tq_get("AAPL", get = "stock.prices", from = "2016-01-01") stocks ## Visualize stocks %>% ggplot(aes(x = date, y = adjusted)) + geom_line() ## # A tibble: 1,0...
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