Stock market interdependence between China and the world: A multi-factor R-squared approach
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DOI: 10.1016/j.frl.2015.02.005
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Cited by:
- Saiful Izzuan Hussain & Steven Li, 2018. "The dynamic dependence between stock markets in the greater China economic area: a study based on extreme values and copulas," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 32(2), pages 207-233, May.
- Yarovaya, Larisa & Brzeszczyński, Janusz & Lau, Chi Keung Marco, 2016. "Volatility spillovers across stock index futures in Asian markets: Evidence from range volatility estimators," Finance Research Letters, Elsevier, vol. 17(C), pages 158-166.
- Liu, Jing & Ma, Feng & Zhang, Yaojie, 2019. "Forecasting the Chinese stock volatility across global stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 466-477.
- You, Kefei & Raju Chinthalapati, V.L. & Mishra, Tapas & Patra, Ramakanta, 2024. "International trade network and stock market connectedness: Evidence from eleven major economies," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 91(C).
- Liew, Venus Khim-Sen & Puah, Chin-Hong, 2020. "Chinese stock market sectoral indices performance in the time of novel coronavirus pandemic," MPRA Paper 100414, University Library of Munich, Germany, revised 28 Apr 2020.
- Hussain, Saiful Izzuan & Li, Steven, 2018. "The dependence structure between Chinese and other major stock markets using extreme values and copulas," International Review of Economics & Finance, Elsevier, vol. 56(C), pages 421-437.
- Lu, Jingen & Chen, Xiaohong & Liu, Xiaoxing, 2018. "Stock market information flow: Explanations from market status and information-related behavior," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 837-848.
- Duc Hong Vo, 2021.
"Portfolio Optimization and Diversification in China: Policy Implications for Vietnam and Other Emerging Markets,"
Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 57(1), pages 223-238, January.
- Vo, Duc, 2019. "Portfolio Optimization and Diversification in China: Policy Implications for Vietnam and other Emerging Markets," MPRA Paper 103276, University Library of Munich, Germany.
- Changqing, Luo & Chi, Xie & Cong, Yu & Yan, Xu, 2015. "Measuring financial market risk contagion using dynamic MRS-Copula models: The case of Chinese and other international stock markets," Economic Modelling, Elsevier, vol. 51(C), pages 657-671.
- Xiaomeng Ma & Dong Zou & Chuanchao Huang & Shuliang Lv, 2020. "China’s growing influence and risk in Asia–Pacific stock markets: evidence from spillover effects and market integration," Risk Management, Palgrave Macmillan, vol. 22(4), pages 338-361, December.
- Shegorika Rajwani & Dilip Kumar, 2019. "Measuring Dependence Between the USA and the Asian Economies: A Time-varying Copula Approach," Global Business Review, International Management Institute, vol. 20(4), pages 962-980, August.
- Yao, Shujie & He, Hongbo & Chen, Shou & Ou, Jinghua, 2018. "Financial liberalization and cross-border market integration: Evidence from China's stock market," International Review of Economics & Finance, Elsevier, vol. 58(C), pages 220-245.
- Vo, Xuan Vinh & Ellis, Craig, 2018. "International financial integration: Stock return linkages and volatility transmission between Vietnam and advanced countries," Emerging Markets Review, Elsevier, vol. 36(C), pages 19-27.
- Ashfaq, Saleha & Tang, Yong & Maqbool, Rashid, 2020. "Dynamics of spillover network among oil and leading Asian oil trading countries’ stock markets," Energy, Elsevier, vol. 207(C).
- Meng, Xiangcai & Huang, Chia-Hsing, 2019. "The time-frequency co-movement of Asian effective exchange rates: A wavelet approach with daily data," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 131-148.
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More about this item
Keywords
Market interdependence; Principal component analysis; Multi-factor R-squared;All these keywords.
JEL classification:
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
- F36 - International Economics - - International Finance - - - Financial Aspects of Economic Integration
- G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
- G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation
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