Analysis of efficiency for Shenzhen stock market based on multifractal detrended fluctuation analysis
By Yudong Wang, Li Liu, Rongbao Gu. 2009
209 citations recorded by the source corpus.
Subfields: Condensed Matter Physics, Economics and Econometrics, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/a9b5305a41266ed4d095b3e69061c220f6a0f9a7
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Condensed Matter Physics
In Economics and Econometrics
- Guangxi Cao
- Longbing Xu
- Jie Cao
- Wei‐Xing Zhou
- Ling-Yun He
- Shu-Peng Chen
- Ladislav Kristoufek
- Didier Sornette
In Statistical and Nonlinear Physics
- Guangxi Cao
- Longbing Xu
- Jie Cao
- Wei‐Xing Zhou
- Ling-Yun He
- Shu-Peng Chen
- Ladislav Kristoufek
- Gilney F. Zebende
Citations in the corpus
- Multifractal detrended cross-correlations between the Chinese exchange market and stock market (2012, background): “A large number of studies have conducted empirical analyses of the long-range auto-correlations in several financial markets, especially the stock markets [1–5] and foreign exchange markets [6–12].”
- Finite-size effect and the components of multifractality in financial volatility (2009, background): “There is also empirical evidence suggesting that multifractal analysis can be used to quantify the degree of inefficiency of markets in the sense that more developed stock markets have weaker multifractality [54,55] and an emerging market evolves to be more efficient with narrowing singularity width”