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Original Articles

Value-at-risk in US stock indices with skewed generalized error distribution

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Pages 425-431 | Published online: 17 Oct 2008

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Read on this site (6)

Zequn Sun & Thomas J. Fisher. (2021) Testing for correlation between two time series using a parametric bootstrap. Journal of Applied Statistics 48:11, pages 2042-2063.
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Gourab Chakraborty, G. R. Chandrashekhar & G. Balasubramanian. (2021) Measurement of extreme market risk: Insights from a comprehensive literature review. Cogent Economics & Finance 9:1.
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Emrah Altun, Huseyin Tatlidil & Gamze Ozel. (2019) Value-at-risk estimation with new skew extension of generalized normal distribution. Communications in Statistics - Theory and Methods 48:14, pages 3663-3681.
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Emrah Altun, Huseyin Tatlidil, Gamze Ozel & Saralees Nadarajah. (2018) A new generalization of skew-T distribution with volatility models. Journal of Statistical Computation and Simulation 88:7, pages 1252-1272.
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Daniele Coin. (2017) A goodness-of-fit test for generalized error distribution. Communications in Statistics - Theory and Methods 46:23, pages 11485-11499.
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Articles from other publishers (13)

Samuel Ampadu, Eric T. Mensah, Eric N. Aidoo, Alexander Boateng & Daniel Maposa. (2024) A comparative study of error distributions in the GARCH model through a Monte Carlo simulation approach. Scientific African 23, pages e01988.
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Fernanda Maria Müller, Thalles Weber Gössling, Samuel Solgon Santos & Marcelo Brutti Righi. (2023) A comparison of Range Value at Risk (RVaR) forecasting models. Journal of Forecasting.
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Rabeh Khalfaoui, Umer Shahzad, Mahdi Ghaemi Asl & Sami Ben Jabeur. (2023) Investigating the spillovers between energy, food, and agricultural commodity markets: New insights from the quantile coherency approach. The Quarterly Review of Economics and Finance 88, pages 63-80.
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Bao Khac Quoc Nguyen, Nguyet Thi Bich Phan & Van Le. (2023) Debt to the Penny and US Dollar Index: a lead-lag relationship of the US economy under impacts of the Covid-19 outbreak. International Journal of Social Economics.
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Cristiana Tudor & Robert Sova. (2022) Flexible Decision Support System for Algorithmic Trading: Empirical Application on Crude Oil Markets. IEEE Access 10, pages 9628-9644.
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Cheng Yan, Yi Tang, Jianfeng Dai, Chenggen Wang & Shengjun Wu. (2021) Uncertainty modeling of wind power frequency regulation potential considering distributed characteristics of forecast errors. Protection and Control of Modern Power Systems 6:1.
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Emrah Altun, Hüseyin Tatlıdil & Gamze Özel. (2018) Conditional ASGT-GARCH Approach to Value-at-Risk. Iranian Journal of Science and Technology, Transactions A: Science 43:1, pages 239-247.
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Emrah Altun, Huseyin Tatlidil, Gamze Ozel & Saralees Nadarajah. (2018) Does the Assumption on Innovation Process Play an Important Role for Filtered Historical Simulation Model?. Journal of Risk and Financial Management 11:1, pages 7.
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Cheng-Few Lee & Jung-Bin Su. 2015. Handbook of Financial Econometrics and Statistics. Handbook of Financial Econometrics and Statistics 1399 1430 .
Cheng-Few Lee & Jung-Bin Su. (2011) Alternative statistical distributions for estimating value-at-risk: theory and evidence. Review of Quantitative Finance and Accounting 39:3, pages 309-331.
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Carol Alexander & José María Sarabia. (2012) Quantile Uncertainty and Value‐at‐Risk Model Risk. Risk Analysis 32:8, pages 1293-1308.
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Pei-Shan Wu, Chien-Ming Huang & Chien-Liang Chiu. (2011) Effects of structural changes on the risk characteristics of REIT returns. International Review of Economics & Finance 20:4, pages 645-653.
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Daniele Coin. (2017) A Goodness-of-Fit Test for Generalized Error Distribution. SSRN Electronic Journal.
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