DocumentCode
177774
Title
Smoothing Security Prices
Author
Letchford, A. ; Junbin Gao ; Lihong Zheng
Author_Institution
Sch. of Comput. & Math., Charles Sturt Univ., Bathurst, NSW, Australia
fYear
2014
fDate
24-28 Aug. 2014
Firstpage
1037
Lastpage
1042
Abstract
Asset prices fluctuate up and down chaotically. Traders, investors and fund managers comb the chaos for exploitable patterns with methods such as moving averages from the realm of technical analysis. In this paper we focus on linear moving averages which aim to smooth asset prices removing fluctuations. First, we will develop a method to measure the smoothness for a linear filter. We will also discuss how to measure estimation lag. We will develop a new linear filter and show that, for short to medium time frames, it is smoother than competing filters.
Keywords
filtering theory; pricing; smoothing methods; stock markets; asset prices; competing filters; estimation lag; linear filter; linear moving averages; smoothing security prices; technical analysis; Correlation; Equations; Mathematical model; Silicon; Smoothing methods; Time series analysis; Vectors; Data Preprocessing; Moving Averages; Signal Processing; Stock Market; Technical Analysis; Time Series Filtering;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition (ICPR), 2014 22nd International Conference on
Conference_Location
Stockholm
ISSN
1051-4651
Type
conf
DOI
10.1109/ICPR.2014.188
Filename
6976898
Link To Document