Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/808924
- Forbidden patterns, permutation entropy and stock market inefficiency
Tabak, Benjamin M.;
Pérez, Darío G.;
Rosso, Osvaldo A.
- The University of Newcastle. Faculty of Engineering & Built Environment, School of Electrical Engineering and Computer Science
- In this paper we introduce two new quantifiers for the stock market inefficiency: the number of forbidden patterns and the normalized permutation entropy. They are model-independent measures, thus they have more general applicability. We find robust evidence that degree of market inefficiency is positively correlated with the number of forbidden patterns and negatively correlated with the permutation entropy. Our empirical results suggest that these two physical tools are useful to discriminate the stage of stock market development and can be easily implemented.
- Physica A: Statistical Mechanics and Its Applications Vol. 388, Issue 14, p. 2854-2864
- Publisher Link
stock market inefficiency
- Resource Type
- journal article