The Profitability of Technical Analysis: A Review
By Cheolbeom Park, Scott H. Irwin. 2004
130 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Finance, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/d850aa60d350b2068dc43c09ef831211ad9f38b3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Lukas Menkhoff
- Mark P. Taylor
- Frank Xing
- David García
- Frank Schweitzer
- Roy E. Welsch
- Erik Cambria
- Lucio Sarno
In Finance
- Lukas Menkhoff
- Mark P. Taylor
- Frank Xing
- David García
- Frank Schweitzer
- Roy E. Welsch
- Erik Cambria
- Jing Jian Xiao
In Management Science and Operations Research
- Mark P. Taylor
- Frank Xing
- David García
- Frank Schweitzer
- Roy E. Welsch
- Erik Cambria
- Lukas Menkhoff
- Fatemeh Hemmatian
Citations in the corpus
- Natural language based financial forecasting: a survey (2017, background): “Technical analysts [89] believe there exist patterns or motifs that would repeat in the future.”
- Mathematical and Statistical Methods for Actuarial Sciences and Finance (2014, unknown): “See, for example, [8,20,31].”
- Social signals and algorithmic trading of Bitcoin (2015, background): “The most common kind of algorithmic trading is based on the principles of technical analysis [36], using the time series of prices to formulate predictions about returns.”
- The Obstinate Passion of Foreign Exchange Professionals: Technical Analysis (2007, background): “On balance, however, the literature on the profitability of technical trading rules tends to support the existence of significant profits to be had by employing these rules in the foreign exchange market (see also Park and Irwin, 2004).”