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Information Journal Paper

Title

ESTIMATING VALUE-AT-RISK AND AVERAGE VALUE-AT-RISK MEASURES USING COMPOSITE QUANTILE REGRESSION

Pages

  185-202

Abstract

VALUE-AT-RISK and Average VALUE-AT-RISK are tow important risk measures based on statistical methoeds that used to measure the market's risk with quantity structure.Recently, linear regression models such as least squares and quantile methods are introduced to estimate these risk measures. In this paper, these two risk measures are estimated by using omposite quantile regression. To evaluate the performance of the proposed model with the other models, a simulation study was conducted and at the end, applications to real data set from Iran's stock market are illustarted.

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    APA: Copy

    AGHAMOHAMMADI, ALI, & SOJOUDI, MAHDI. (2017). ESTIMATING VALUE-AT-RISK AND AVERAGE VALUE-AT-RISK MEASURES USING COMPOSITE QUANTILE REGRESSION. JOURNAL OF STATISTICAL SCIENCES, 10(2 ), 185-202. SID. https://sid.ir/paper/124150/en

    Vancouver: Copy

    AGHAMOHAMMADI ALI, SOJOUDI MAHDI. ESTIMATING VALUE-AT-RISK AND AVERAGE VALUE-AT-RISK MEASURES USING COMPOSITE QUANTILE REGRESSION. JOURNAL OF STATISTICAL SCIENCES[Internet]. 2017;10(2 ):185-202. Available from: https://sid.ir/paper/124150/en

    IEEE: Copy

    ALI AGHAMOHAMMADI, and MAHDI SOJOUDI, “ESTIMATING VALUE-AT-RISK AND AVERAGE VALUE-AT-RISK MEASURES USING COMPOSITE QUANTILE REGRESSION,” JOURNAL OF STATISTICAL SCIENCES, vol. 10, no. 2 , pp. 185–202, 2017, [Online]. Available: https://sid.ir/paper/124150/en

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