Journal of the Operations Research Society of China >

2022 , Vol. 10 >Issue 1: 133 - 158

DOI: https://doi.org/10.1007/s40305-021-00349-6

The Odd Log-Logistic Weibull-G Family of Distributions with Regression and Financial Risk Models

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  • 1 Department of Statistics, Malayer University, Malayer, Iran;
    2 Department of Mathematics, Bartin University, Bartin, Turkey;
    3 Department of Statistics, Persian Gulf University, Bushehr, Iran;
    4 Department of Statistics, Mathematics and Insurance, Benha University, Benha, Egypt

Received date: 2018-12-06

  Revised date: 2021-04-04

  Online published: 2022-03-23

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Abstract

A new generalization of the Weibull-G family is proposed with two extra shape parameters. The mathematical properties are derived in great detail. Using the Weibull and normal distributions as baseline distributions, two models are introduced. The first model is a location-scale regression model based on a new extension of the Weibull distribution. The second model is a new two-step financial risk model to forecast the daily value at risk. The flexibility and applicability of the proposed models are investigated by means of five real data sets on the lifetime and financial returns. Empirical findings of the study show that proposed models work well and produce better results than other well-known models for financial risk modeling and censored lifetime data analysis.

Key words： Odd log-logistic-G family; Weibull-G family; Regression model; Value at risk; Simulation; Maximum likelihood; Financial risk modeling

Cite this article

Mahdi Rasekhi, Emrah Altun, Morad Alizadeh, Haitham M. Yousof . The Odd Log-Logistic Weibull-G Family of Distributions with Regression and Financial Risk Models[J]. Journal of the Operations Research Society of China, 2022 , 10(1) : 133 -158 . DOI: 10.1007/s40305-021-00349-6

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