Powerful tests for structural changes in volatility
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DOI: 10.1016/j.jeconom.2012.11.001
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- Perron, Pierre & Yamamoto, Yohei & 山本, 庸平 & Zhou, Jing, 2019. "Testing Jointly for Structural Changes in the Error Variance and Coefficients of a Linear Regression Model," Discussion paper series HIAS-E-85, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
- Hanck, Christoph & Demetrescu, Matei & Kruse, Robinson, 2015. "Fixed-b Asymptotics for t-Statistics in the Presence of Time-Varying Volatility," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112916, Verein für Socialpolitik / German Economic Association.
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- Ke-Li Xu & Jui-Chung Yang, 2015. "Towards Uniformly Efficient Trend Estimation Under Weak/Strong Correlation and Non-stationary Volatility," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 42(1), pages 63-86, March.
- Majid Mirzaee Ghazani & Ali Akbar Momeni Malekshah & Reza Khosravi, 2024. "Analyzing time–frequency connectedness between cryptocurrencies, stock indices, and benchmark crude oils during the COVID-19 pandemic," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-28, December.
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More about this item
Keywords
CUSUM test; LM test; Nonparametric volatility estimation; Nonstationary volatility; Volatility break;All these keywords.
JEL classification:
- C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
Statistics
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