Gaussian mixture modelling to detect random walks in capital markets
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Publication:597510
DOI10.1016/S0895-7177(03)90022-7zbMath1106.91335MaRDI QIDQ597510
Ming-Heng Zhang, Qian-Sheng Cheng
Publication date: 6 August 2004
Published in: Mathematical and Computer Modelling (Search for Journal in Brave)
EM algorithmdistributionsAsset returnGaussian mixture modellingThe Kolmogorov-Smirnov testThe random walks hypothesis
Related Items (2)
Value-at-risk via mixture distributions reconsidered ⋮ An approach to VaR for capital markets with Gaussian mixture
Cites Work
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- The Pricing of Options and Corporate Liabilities
- An entropy criterion for assessing the number of clusters in a mixture model
- Statistical mechanics of financial markets: exponential modifications to Black-Scholes.
- Bayesian analysis of mixture models with an unknown number of components\,--\,an alternative to reversible jump methods.
- Louis Bachelier on the Centenary of Theorie de la Speculation
- The Price Variability-Volume Relationship on Speculative Markets
- A Subordinated Stochastic Process Model with Finite Variance for Speculative Prices
- Portfolio Analysis in a Stable Paretian Market
- The Kolmogorov-Smirnov Test for Goodness of Fit
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