Unraveling S&P500 stock volatility and networks – an encoding-and-decoding approach
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Publication:5079389
DOI10.1080/14697688.2021.2020327zbMath1491.91136arXiv2101.09395OpenAlexW3121525057MaRDI QIDQ5079389
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Publication date: 27 May 2022
Published in: Quantitative Finance (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2101.09395
Financial networks (including contagion, systemic risk, regulation) (91G45) Financial markets (91G15)
Cites Work
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- The Pricing of Options and Corporate Liabilities
- On a basis for peaks over threshold modeling
- The hierarchical hidden Markov model: Analysis and applications
- Generalized autoregressive conditional heteroscedasticity
- Modeling volatility persistence of speculative returns: a new approach
- Multidimensional scaling analysis of financial time series based on modified cross-sample entropy methods
- Testing and mapping non-stationarity in animal behavioral processes: a case study on an individual female bean weevil
- Discovering stock dynamics through multidimensional volatility phases
- A Subordinated Stochastic Process Model with Finite Variance for Speculative Prices
- A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle
- Circular binary segmentation for the analysis of array-based DNA copy number data
- Error bounds for convolutional codes and an asymptotically optimum decoding algorithm
- An inequality with applications to statistical estimation for probabilistic functions of Markov processes and to a model for ecology
- A Maximization Technique Occurring in the Statistical Analysis of Probabilistic Functions of Markov Chains
- A Regime-Switching Model of Long-Term Stock Returns
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