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All Journal International Journal of Economics Development Research (IJEDR) Sciencestatistics: Journal of Statistics, Probability, and Its Application
Zainol Mustafa
Universiti Kebangsaan Malaysia, Malaysia
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Mathematics Social Sciences

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Effect of Financial Technology and Environmental Performance on Financial Performance with Corporate Social Responsibility as Intervening Variables Ni Wayan Novi Budiasni; Kadek Indrayani; Zainol Mustafa
International Journal of Economics Development Research (IJEDR) Vol. 4 No. 2 (2023): International Journal of Economics Development Research (IJEDR)
Publisher : Yayasan Riset dan Pengembangan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/ijedr.v4i3.2675

Abstract

This study aims to determine the effect of financial technology and environmental performance on financial performance, with corporate social responsibility as an intervening variable. The population in this study are banking companies listed on the Indonesia Stock Exchange in 2018-2022. The technique used to take samples in this study is purposive sampling. The number of samples in this study was 10 companies. This study’s data type is secondary timer series data with 5 years of observation. The research data was analyzed using SEM-PLS with the assistance of the SmartPLS version 3 application. Financial technology and environmental performance do not affect financial performance, financial technology does not affect CSR, environmental performance has a positive and significant effect on CSR, CSR has a positive and significant effect on financial performance, CSR does not mediate the effect of financial technology on financial performance, and CSR mediates the effect of environmental performance on the financial performance of banking companies listed on the Indonesia Stock Exchange (IDX) for 2018-2022.
Tweedie Distribution: A Statistical Solution for Unusually Dispersed Data Zainol Mustafa
Sciencestatistics: Journal of Statistics, Probability, and Its Application Vol. 3 No. 1 (2025): JANUARY
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/sciencestatistics.v3i1.8003

Abstract

The Tweedie distribution has emerged as an effective statistical approach to model data with unusual dispersion characteristics, especially data with mixed discrete and continuous components. In this study, the Tweedie distribution is applied to insurance claims data to model the pattern of claims containing many zero values and large claims that are continuous in nature. With parameter estimation using the iteratively reweighted least squares (IRLS) algorithm in R software, the results show that the Tweedie distribution can handle higher variability (overdispersion) accurately. The estimated power parameter value () of 1.7 indicates that the Tweedie distribution combines the Poisson and Gamma distributions, which are effective in modeling claims data with high dispersion. This study also shows that the Tweedie distribution is able to provide better and more realistic predictions compared to traditional distributions such as Poisson or Gamma, which cannot handle data with mixed characteristics and overdispersion well. These findings provide important contributions to insurance claims modeling and open up the potential for wider applications in various other fields that face data with high variability and mixed patterns.
Co-Authors Ni Wayan Novi Budiasni Ni Wayan Novi Budiasni .