• 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