Relationship research between meteorological disasters and stock markets based on a multifractal detrending moving average algorithm
出版年份 2018 全文链接
标题
Relationship research between meteorological disasters and stock markets based on a multifractal detrending moving average algorithm
作者
关键词
-
出版物
INTERNATIONAL JOURNAL OF MODERN PHYSICS B
Volume 32, Issue 01, Pages 1750267
出版商
World Scientific Pub Co Pte Lt
发表日期
2017-08-02
DOI
10.1142/s0217979217502678
参考文献
相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。- Asymmetric statistical features of the Chinese domestic and international gold price fluctuation
- (2015) Guangxi Cao et al. INTERNATIONAL JOURNAL OF MODERN PHYSICS B
- Effects of climatic events on the Chinese stock market: applying event analysis
- (2015) Guangxi Cao et al. NATURAL HAZARDS
- The essence of multifractal detrended fluctuation technique to explore the dynamics of soil radon precursor for earthquakes
- (2015) Chiranjib Barman et al. NATURAL HAZARDS
- Detecting and interpreting distortions in hierarchical organization of complex time series
- (2015) Stanisław Drożdż et al. PHYSICAL REVIEW E
- Multifractal detrended cross-correlation between the Chinese domestic and international gold markets based on DCCA and DMCA methods
- (2014) Guangxi Cao et al. MODERN PHYSICS LETTERS B
- The rainstorm comprehensive economic loss assessment based on CGE model: using a July heavy rainstorm in Beijing as an example
- (2014) Guizhi Wang et al. NATURAL HAZARDS
- Comparison of specification tests for GARCH models
- (2013) Kilani Ghoudi et al. COMPUTATIONAL STATISTICS & DATA ANALYSIS
- Extreme weather impacts on freight railways in Europe
- (2013) Johanna Ludvigsen et al. NATURAL HAZARDS
- Short-term economic effect of the M7.0 Lushan Earthquake
- (2013) Zhengru Tao NATURAL HAZARDS
- Quantifying cascading effects triggered by disrupted transportation due to the Great 2008 Chinese Ice Storm: implications for disaster risk management
- (2013) Wei Xie et al. NATURAL HAZARDS
- Price–volume multifractal analysis and its application in Chinese stock markets
- (2012) Ying Yuan et al. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
- An approach to quantify the heat wave strength and price a heat derivative for risk hedging
- (2011) Samuel S. P. Shen et al. ADVANCES IN ATMOSPHERIC SCIENCES
- Forecasting volatility in Shanghai and Shenzhen markets based on multifractal analysis
- (2011) Hongtao Chen et al. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
- Multifractal detrending moving average analysis on the US Dollar exchange rates
- (2011) Yudong Wang et al. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
- Multifractal detrending moving-average cross-correlation analysis
- (2011) Zhi-Qiang Jiang et al. PHYSICAL REVIEW E
- Effects of foreign disasters on the petroleum industry in Japan: A financial market perspective
- (2010) Kunihiro Hanabusa ENERGY
- Quantitative features of multifractal subtleties in time series
- (2010) S. Drożdż et al. EPL
- Modelling NASDAQ Series by Sparse Multifractional Brownian Motion
- (2010) Pierre R. Bertrand et al. METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY
- Are crude oil markets multifractal? Evidence from MF-DFA and MF-SSA perspectives
- (2010) Ling-Yun He et al. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
- Measuring multifractality of stock price fluctuation using multifractal detrended fluctuation analysis
- (2009) Ying Yuan et al. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
- Multifractal spectrum analysis of nonlinear dynamical mechanisms in China’s agricultural futures markets
- (2009) Shu-Peng Chen et al. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started