Boardroom dynamics: The power of board composition and gender diversity in shaping capital structure

Yakubu, Ibrahim Nandom; Oumarou, Seydou

doi:10.1080/23311975.2023.2236836

Cited by 12 publications

(2 citation statements)

References 86 publications

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“…The skewed distribution poses a challenge, as inaccurate credit evaluations can have profound financial implications and erode customer confidence [7]. The substantial impact of bad debts on financial stability underscores the criticality of making accurate decisions to mitigate risks [8]. This is the crux of the problem that motivates our study.…”

Section: Introductionmentioning

confidence: 99%

A stacking ensemble model with SMOTE for improved imbalanced classification on credit data

Alamsyah,

Budiman,

Parama Yoga

et al. 2024

TELKOMNIKA

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This research is based on a significant problem in credit risk analysis in the banking sector caused by class imbalance. We face the problem of the model's inability to accurately identify risks in the ''Charged Off'' class. As a solution, we propose a stacked ensemble approach that utilizes synthetic minority over-sampling technique (SMOTE) to balance the class distribution. Experiments were conducted by applying SMOTE to the training data before training the credit model using gradient boosting (XGBoost) and random forest (RF) algorithms in a single ensemble. The results show significant improvements in precision, recall, and F1-score after applying SMOTE on the unbalanced classes. The updated model achieved a striking accuracy rate of 0,97 on resampled training data. This re-search clearly identifies the problem of class imbalance as a major challenge in credit risk analysis. The application of SMOTE in a stacked ensemble was found to be effective in improving model performance, making a valuable contribution to the development of more reliable credit models for better risk management and revenue generation in financial institutions.

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Section: Introductionmentioning

confidence: 99%

A stacking ensemble model with SMOTE for improved imbalanced classification on credit data

Alamsyah,

Budiman,

Parama Yoga

et al. 2024

TELKOMNIKA

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“…Beberapa hasil penelitian mengungkapkan karakteristik dewan memiliki pengaruh terhadap leverage perusahaan. Gender perempuan dewan dalam komposisi dewan telah diakui sebagai elemen penting dalam tata kelola perusahaan (Yakubu &;Oumarou, 2023). Ada pendapat bahwa ukuran papan memiliki pengaruh pada dewan karena banyak yang dibutuhkan untuk mitigasi konflik, pemantauan yang lebih efektif dan dapat menghasilkan pertimbangan kualitas yang lebih tinggi (Ezeani et al, 2023;Tahir et al, 2023).…”

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Penelitian Empiris Menyelidiki Dampak Dewan Perusahaan Terhadap Keputusan Leverage di Bank-Bank Indonesia

Marji Uliansyah,

Indra Maulana,

Christy Yanwar Yosapat

et al. 2024

JMPIS

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Tujuan dari penelitian ini adalah untuk menganalisis pengaruh jenis kelamin dewan direksi, ukuran dewan direksi, rapat dewan direksi, profitabilitas, kepemilikan dewan direksi, ukuran perusahaan, big4, dan pertumbuhan ekonomi terhadap tingkat leverage bank. Metode yang digunakan adalah metode regresi data panel yang terdiri dari common effect (pooled less square), fixed effect dan random effect. Hasil penelitian menunjukkan bahwa Board Female Gender, Board Meeting, Board Ownership, Profitability, Big4, Inflation berpengaruh terhadap Leverage. Board Size, Firm Size, Economic Growth tidak berpengaruh terhadap Leverage.

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Is gender diversity is diversity washing or good governance for firm sustainable development goal performance: A scoping review

Asif,

Khan,

Irfan

et al. 2023

Environ Sci Pollut Res

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Boardroom dynamics: The power of board composition and gender diversity in shaping capital structure

Cited by 12 publications

References 86 publications

A stacking ensemble model with SMOTE for improved imbalanced classification on credit data

A stacking ensemble model with SMOTE for improved imbalanced classification on credit data

Penelitian Empiris Menyelidiki Dampak Dewan Perusahaan Terhadap Keputusan Leverage di Bank-Bank Indonesia

Is gender diversity is diversity washing or good governance for firm sustainable development goal performance: A scoping review

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