• English
    • svenska
  • svenska 
    • English
    • svenska
  • Logga in
Redigera dokument 
  •   Startsida
  • Student essays / Studentuppsatser
  • Department of Economics / Institutionen för nationalekonomi med statistik
  • Kandidatuppsatser / Institutionen för nationalekonomi och statistik
  • Redigera dokument
  •   Startsida
  • Student essays / Studentuppsatser
  • Department of Economics / Institutionen för nationalekonomi med statistik
  • Kandidatuppsatser / Institutionen för nationalekonomi och statistik
  • Redigera dokument
JavaScript is disabled for your browser. Some features of this site may not work without it.

Technical Analysis - Testing the performance of five commonly used technical indicators

Technical Analysis - Testing the performance of five commonly used technical indicators

Sammanfattning
This thesis examines five commonly used technical indicators and their performance on five stocks listed at the Stockholm Stock Exchange during the time period January 2010 – March 2016. The research aims to see if the technical indicators can predict return in the upcoming period and also compare the profitability of the indicators versus the buy and hold strategy. Simple OLS regressions are used to analyze whether the different technical indicators are statistically significant for return in the upcoming period. The predictive ability of the technical indicators is overall quite poor as few of the indicators prove to be statistically significant. When comparing return per week invested between the examined technical indicators versus the buy and hold strategy, results find that the buy and hold strategy outperforms the Moving Average and the Moving Average Cross-Over indicator while the Moving Average Convergence Divergence and the Combined indicator provides higher average return per invested week for the majority of the stocks. These slightly contradictory results make it hard to determine whether weak form efficiency holds on Stockholm Stock Exchange and are much in line with the mixed results from earlier research made on other stock markets.
Examinationsnivå
Student essay
URL:
http://hdl.handle.net/2077/44878
Samlingar
  • Kandidatuppsatser / Institutionen för nationalekonomi och statistik
Fil(er)
Thesis frame (1.193Mb)
Datum
2016-07-04
Författare
Rundberg, David
Strandqvist, Eric
Nyckelord
technical analysis
weak form efficiency
random walk
moving average
moving average cross-over
moving average convergence divergence
Serie/rapportnr.
201607:41
Uppsats
Språk
eng
Metadata
Visa fullständig post

DSpace software copyright © 2002-2016  DuraSpace
gup@ub.gu.se | Teknisk hjälp
Theme by 
Atmire NV
 

 

Visa

VisaSamlingarI datumordningFörfattareTitlarNyckelordDenna samlingI datumordningFörfattareTitlarNyckelord

Mitt konto

Logga inRegistrera dig

DSpace software copyright © 2002-2016  DuraSpace
gup@ub.gu.se | Teknisk hjälp
Theme by 
Atmire NV