Publications by Ethan Hicks
Quiz2_c
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) library(tidyverse) # Import stock prices stock_prices <- tq_get(c("AAPL", "MSFT"), get = "stock.prices", from = "2020-01-01") # Calcul...
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Document
# Load packages library(tidyquant) library(tidyverse) # Import stock prices stock_prices <- tq_get(c("WMT", "TGT", "AMZN"), get = "stock.prices", from = "2020-01-01") # Calculate daily returns stock_returns <- stock_prices %>% group_by(symbol) %>% tq_mutate(select = adjusted, mutate_fun = periodReturn, period = "daily") stock_retur...
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Quiz 3
The data set is from a case-control study of smoking and Alzheimer’s disease. The data set has two variables of main interest: smoking a factor with four levels “None”, “<10”, “10-20”, and “>20” (cigarettes per day) disease a factor with three levels “Alzheimer”, “Other dementias”, and “Other diagnoses”. Q1 Describ...
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Quiz 1
In this exercise, use Chapter 4.2 Quantitative vs. Quantitative Data Visualization with R. # Load packages library(tidyquant) library(tidyverse) # Import stock prices stock_prices <- tq_get(c("AAPL", "MSFT", "AMZN"), get = "stock.prices", from = "2021-01-01") # Calculate daily returns stock_returns <- stock_prices %>% group_by(...
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Quiz 3
# Load packages library(tidyquant) library(tidyverse) Q1 dividends Import dividends of General Motors and Ford since 2010. mult_stocks <- tq_get(c("F", "GM"), get = "dividends", from = "2010-01-01") mult_stocks ## # A tibble: 58 x 3 ## symbol date value ## <chr> <date> <dbl> ...
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Quiz 2
# Load packages library(tidyquant) library(tidyverse) Q1 dividends Import dividends of General Motors and Ford since 2010. mult_stocks <- tq_get(c("F", "GM"), get = "dividends", from = "2010-01-01") mult_stocks ## # A tibble: 58 x 3 ## symbol date value ## <chr> <date> <dbl> ...
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Quiz 4
Witht the given stock, conduct the Bollinger Bands analysis by answering the questions below. Q1 Calculate 20-day moving averages and 20-day running standard deviation. Save the result under stock and print it. Hint: Take stock, pipe it to tidyquant::tq_mutate to calculate 20-day moving averages, pipe it to tidyquant::tq_mutate to calculate 20-d...
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Quiz 5
# Load packages library(tidyquant) ## Loading required package: lubridate ## ## Attaching package: 'lubridate' ## The following objects are masked from 'package:base': ## ## date, intersect, setdiff, union ## Loading required package: PerformanceAnalytics ## Loading required package: xts ## Loading required package: zoo ## ## Attachin...
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Term Paper
Finance students in the past have participated in national student competitions. They are a great opportunity to practice and further your knowledge and skills you learned in the finance program at PSU. Because not all of you are finance major, grading will be generous as long as you follow the instructions (e.g., number counts for answers). In a...
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Quiz 6
title: Quiz 6 author: Ethan Hicks output: html_document: toc: true — Q1 Get monthly returns of Tesla, Amazon, and Netflix for the last 5 years. # Load packages library(tidyquant) library(tidyverse) from <- today() - years(5) stock_returns_monthly <- c("TSLA", "AMZN", "NFLX") %>% tq_get(get = "stock.prices", from = from...
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