EconPapers    
Economics at your fingertips  
 

Working with Data

Harry Georgakopoulos

Chapter 3 in Quantitative Trading with R, 2015, pp 43-70 from Palgrave Macmillan

Abstract: Abstract Financial data comes in many forms and sizes. In this book, we will mostly concern ourselves with a particular class of financial data, namely, time series data. Time series data contain a time component that is primarily used as an index (key) to identify other meaningful values. Another way to think about time series data is as key-value pairs in which the key is the time, and the value is either a single entry or a vector of entries. The following table gives an idea of what a typical daily time series for the stock AAPL might look like. This data was downloaded from Yahoo1 in the form of a .csv file.

Keywords: Time Series Data; Stock Prex; Time Stamp; Implied Volatility; Data Frame (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pal:palchp:978-1-137-43747-1_3

Ordering information: This item can be ordered from
http://www.palgrave.com/9781137437471

DOI: 10.1057/9781137437471_3

Access Statistics for this chapter

More chapters in Palgrave Macmillan Books from Palgrave Macmillan
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-01
Handle: RePEc:pal:palchp:978-1-137-43747-1_3