The Efficient Market Hypothesis and Its Critics
By Ann C. Logue. 2003
918 citations recorded by the source corpus.
Subfields: Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/99cd9e51ecb68284e5e0b9393aa4c00787a368b0
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
- Ronan Bolton
- Miloslav S. Vosvrda
- S. Hall
- Ladislav Kristoufek
- Dogu Araci
- Lars Karlsson
- Jiahong Li
- T. Foxon
Citations in the corpus
- Tweets and Trades: The Information Content of Stock Microblogs (2010, neutral): “However, a growing body of research suggests that financial markets do not always comply with the EMH (for a comprehensive overview see Malkiel (2003).”
- Expert Systems With Applications (neutral): “(Black, 1993; Malkiel, 2003).”
- Prediction-based portfolio optimization model using neural networks (2009, background): “The Efficient Market Hypothesis (EMH), the theoretical framework that guides the discussion around this question, has been under empirical testing and reviewing for the past several decades [7,8,9,10].”
- A review of unsupervised feature learning and deep learning for time-series modeling (2014, background): “However, it has also been argued that stock market prices do not follow a random walk and that they can be predicted [84].”
- Investing in low-carbon transitions: energy finance as an adaptive market (2017, background): “…3 School of Social and Political Science, University of Edinburgh, High School Yards, Edinburgh, UK The amount of capital required to transition energy systems to low-carbon futures is very large, yet analysis of energy systems change has been curiously quiet on the role of capital markets in…”
- FinBERT: Financial Sentiment Analysis with Pre-trained Language Models (2019, background): “Prices in an open market reflects all of the available information regarding assets exchanged in an economy [16].”
- The use of technical analysis by fund managers: International evidence (2010, background): “4 This is supported by some survey evidence from studies conducted in Germany; see Menkhoff (1998) for fund managers with an international investment focus, Arnswald (2001) for equity fund managers and Menkhoff, Schmidt and Brozynski (2006) for fund managers in equities and bonds.”
- Institutional investors and post-ICO performance: an empirical analysis of investor returns in initial coin offerings (ICOs) (2020, neutral): “However, markets are rarely fully efficient (e.g., Malkiel, 2003).”
- The information content of cash dividend announcements in a unique environment (2011, neutral): “Though it is beyond the scope of the current paper, it is possible that the reactions to cash dividend announcements observed in this paper might be due to behavioral characteristics of irrational investors (see, for example, Malkiel (2003) and Shiller (2003)).”
- Sentiment-aware stock market prediction: A deep learning method (2017, background): “Numerous studies show that stock market prices do not follow a random walk and can indeed, to some degree, be predicted [5,11,12,13] thereby calling into question EMH’s basic assumptions.”
- Measuring capital market efficiency: Global and local correlations structure (2012, background): “In other words, the capital market is efficient if the fluctuations of returns are unpredictable [21, 22, 35].”