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Maximum entropy autoregressive conditional heteroskedasticity model
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“Interestingly, the Cauchy distribution itself (with scale parameter σ ) is MaxEnt over R under the restriction that E (ln(1 + X 2 /σ 2 )) = 2 ln 2 [35].”
From Is cosmological tuning fine or coarse? (2021) · cites this paper as [35]
In the citing paper
“For instance, Park and Bera list eight MaxEnt distributions for ( -∞ , ∞ ) , and six MaxEnt distributions for [0 , ∞ ) , corresponding to different restrictions [35].”
From Is cosmological tuning fine or coarse? (2021) · cites this paper as [35]
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Metadata
- Authors
- Park, S. Y., & Bera, A. K.
- Affiliations
- Xiamen University (CN)
- University of Illinois Urbana-Champaign (US)
- Corresponding author
- Bera, Anil K.
- Venue
- Journal of Econometrics
- Publisher
- Elsevier BV
- Published
- 2009-06
- Volume
- 150
- Issue
- 2
- Pages
- 219-230
- ISSN
- 0304-4076 (ISSN-L)
- OpenAlex
- W2149865537
- Cited by
- 218
- References
- 82
- Citations by year
- 2026: 6 · 2025: 12 · 2024: 11 · 2023: 8 · 2022: 13 · 2021: 20 · 2020: 9 · 2019: 13 · 2018: 17 · 2017: 10 · 2016: 20 · 2015: 20 · 2014: 15 · 2013: 18 · 2012: 16
- FWCI
- 12.96
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Econometrics (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Finance › Financial Risk and Volatility Modeling
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Statistical Mechanics and Entropy
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Complex Systems and Time Series Analysis
- Keywords
- maximum entropy, ARCH models, conditional heteroskedasticity, excess kurtosis, skewness, moment functions, information functional, stock returns, New York Stock Exchange, financial market volatility, stylized facts
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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