Technical Analysis for Algorithmic Pattern Recognition (PDF)
(Sprache: Englisch)
The main purpose of this book is to resolve deficiencies and limitations that currently exist when using Technical Analysis (TA). Particularly, TA is being used either by academics as an "economic test" of the weak-form Efficient Market Hypothesis (EMH) or...
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The main purpose of this book is to resolve deficiencies and limitations that currently exist when using Technical Analysis (TA). Particularly, TA is being used either by academics as an "economic test" of the weak-form Efficient Market Hypothesis (EMH) or by practitioners as a main or supplementary tool for deriving trading signals. This book approaches TA in a systematic way utilizing all the available estimation theory and tests. This is achieved through the developing of novel rule-based pattern recognizers, and the implementation of statistical tests for assessing the importance of realized returns. More emphasis is given to technical patterns where subjectivity in their identification process is apparent. Our proposed methodology is based on the algorithmic and thus unbiased pattern recognition. The unified methodological framework presented in this book can serve as a benchmark for both future academic studies that test the null hypothesis of the weak-form EMH and for practitioners that want to embed TA within their trading/investment decision making processes. ¿
Autoren-Porträt von Prodromos E. Tsinaslanidis, Achilleas D. Zapranis
Prodromos E. Tsinaslanidis, Ph.D., isLecturer of Finance in the Business School at the Canterbury Christ Church
University. Dr. Tsinaslanidis' research interests include technical analysis,
pattern recognition, efficient market hypothesis and design and assessment of
investment and trading strategies.
Achilleas D.
Zapranis, Ph.D., is
Professor of Finance in the Department of Accounting and Finance at the
University of Macedonia, where he is also Rector. In addition, Dr. Zapranis is
a member of the Board of Directors of Thessaloniki's Innovation Zone.
Bibliographische Angaben
- Autoren: Prodromos E. Tsinaslanidis , Achilleas D. Zapranis
- 2015, 1st ed. 2016, 204 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3319236369
- ISBN-13: 9783319236360
- Erscheinungsdatum: 31.10.2015
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Dateiformat: PDF
- Größe: 4.08 MB
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- Vorlesefunktion
Sprache:
Englisch
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