Time Series
Peter Kenny
Chapter Chapter 19 in Better Business Decisions from Data, 2014, pp 197-203 from Springer
Abstract:
Abstract One of the most difficult areas of forecasting is in dealing with time series. Our profits have been x, y, and z over the past three years, so what will they be next year? Unfortunately, we might say, this is perhaps the area where forecasting is most necessary in the business and commercial world. In the United Kingdom, and probably elsewhere, documentation involving the sale of shares and other investment products has to carry the warning “past performance is no guide to future performance.”
Keywords: Greek Letter; Exponential Smoothing; Simple Linear Regression Analysis; Investment Product; Difficult Area (search for similar items in EconPapers)
Date: 2014
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:spr:sprchp:978-1-4842-0184-8_19
Ordering information: This item can be ordered from
http://www.springer.com/9781484201848
DOI: 10.1007/978-1-4842-0184-8_19
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().