The R package marketconf
reads data on U. S. Stock Market Confidence
Indexes from the Yale School of Management’s International Center for
Finance
web page.
This package is designed for stock market prediction and risk valuation, and it is compatible with other packages like:
library(devtools)
devtools::install_github("EnriquePH/marketconf")
The four U.S. stock market confidence indexes are derived monthly from survey data on investors’ behavior. These indexes are:
library(marketconf)
library(knitr)
kable(US_confidence_indices())
Symbol | Dir | Description | Info | Url |
---|---|---|---|---|
US1YI | united-states-one-year-index | U.S. One Year Confidence Index | The percent of the population expecting an increase in the Dow in the coming year. | https://shiller-data-public.s3.amazonaws.com/icf_stock_market_confidence_index_table.csv |
USVI | united-states-valuation-index | U.S. Valuation Confidence Index | The percent of the population who think that the market is not too high. | https://shiller-data-public.s3.amazonaws.com/icf_stock_market_valuation_index_table.csv |
USBODI | united-states-buy-dips-confidence-index | U.S. Buy-On-Dips Confidence Index | The percent of the population expecting a rebound the next day should the market ever drop 3% in one day. | https://shiller-data-public.s3.amazonaws.com/icf_stock_market_dips_index_table.csv |
USCI | us-crash-confidence-index | U.S. Crash Confidence Index | The percent of the population who attach little probability to a stock market crash in the next-six months. | https://shiller-data-public.s3.amazonaws.com/icf_stock_market_crash_index_table.csv |
This is a basic example that plots the U.S. Valuation Index:
library(ggplot2)
index_symbol <- "USVI"
index_df <- get_index(index_symbol)
ggplot(index_df, aes(x = Date, y = USVI.Value, color = Investor)) +
geom_line() +
ggtitle(get_index_description(index_symbol))
The markerconf
package is licensed under the MIT License (MIT),
but the Stock Market Confidence Indexes are produced and copyrighted
by the International Center of Finance at the Yale School of
Management. Please refer to the TERMS OF
USE
on Yale University’s web page for further
information.