Homework 1

# Load required libraries
library(tidyverse)

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library(rvest)

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library(quantmod)

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library(ggplot2)
library(xts)
library(dplyr)

# Scrape financial data from Finviz for EnerSys (ENS)
ens_url <- "https://finviz.com/quote.ashx?t=ENS"
ens_page <- read_html(ens_url)

ens_data <- ens_page %>%
  html_nodes("table.snapshot-table2") %>%
  html_table(fill = TRUE)

# Convert to DataFrame
ens_fins <- as.data.frame(ens_data[[1]])

# Get EnerSys stock price data from Yahoo Finance
getSymbols("ENS", src = "yahoo", from = "2020-01-01", to = Sys.Date())

## [1] "ENS"

# Extract closing prices
ens_prices <- Cl(ENS)

# Plot EnerSys stock prices
autoplot(ens_prices) + ggtitle("EnerSys Stock Prices")

# Calculate daily log returns
ens_returns <- dailyReturn(ENS, type = "log")

# Plot daily log returns
ggplot(data = as.data.frame(ens_returns), aes(x = index(ENS), y = coredata(ens_returns))) +
  geom_line() +
  ggtitle("EnerSys Daily Log Returns") +
  xlab("Date") +
  ylab("Log Returns")

# Extract key financial ratios from Finviz data
pe_ratio <- ens_fins[ens_fins$X1 == "P/E", "X2"]
debt_eq_ratio <- ens_fins[ens_fins$X1 == "Debt/Eq", "X2"]
roe <- ens_fins[ens_fins$X1 == "ROE", "X2"]

# Print financial ratios
print(paste("P/E Ratio:", pe_ratio))

## [1] "P/E Ratio: "

print(paste("Debt/Equity Ratio:", debt_eq_ratio))

## [1] "Debt/Equity Ratio: "

print(paste("Return on Equity:", roe))

## [1] "Return on Equity: "

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