Implementation in R
In this section, we show how to implement the model of Bialkowski, J., Darolles, S., and Le Fol, G. (2008) in R. We cover every detail, from loading the data to estimating the model parameters and producing the actual forecasts.
The data
The data we use consists of 10 different stocks from the Dow Jones Industrial Average index (see the next table for an overview). We use the 21 trading days between 06/01/2011 and 06/29/2011. Trading on NYSE and NASDAQ is continuous between 09:30 and 16:00. After aggregating the data into 15-minute time slots, we receive 26 observations every day, and a total of 26 * 21 = 546 observations overall.
Tip
We divided the trading day into 26 time slots, whereas the original article defined 25. This is ...
Get R: Data Analysis and Visualization now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
