Continuous formulations of new distributions defined on the unit interval have gained attention because of their relevance in modeling proportion data. We innovate in this research direction by combining logarithmic, cosine, and power functions to create a log-cosine-power cumulative...

Time series analysis is a crucial tool for predicting how reinsurance revenues will be used. Reinsurance businesses must be aware of the estimated future values of claims in order to minimise the substantial losses brought on by predicted future claims. The potential values of anticipated claims...

In this paper, we introduce a new family of univariate continuous distributions called the Gamma Kumaraswamy-generated family of distributions. Most of its properties are studied in detail, including skewness, kurtosis, analytical comportments of the main functions, moments, stochastic ordering...

This paper proposes a straightforward Markov-switching asset allocation model, which reduces the market exposure to periods of high volatility. The main purpose of the study is to examine the performance of a regime-based asset allocation strategy under realistic assumptions, compared to a buy...

This paper proposes a straightforward Markov-switching asset allocation model, which reduces the market exposure to periods of high volatility. The main purpose of the study is to examine the performance of a regime-based asset allocation strategy under realistic assumptions, compared to a buy...