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 :
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