In this edition of Economics of Enterprise we bring many issues from the financial field. In the first paper in the Finance section, M. Rankov explores the potential application of explainable artificial intelligence techniques to complex deep learning models and gradient boosting algorithms in the context of credit decisionmaking using dataset from Taiwan.
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The results show that complex machines and deep learning models outperform logistic regression and, when combined with explainable artificial intelligence techniques, provide better insights into model operations and enhance transparency. The author argues that machine learning and deep learning models need not remain black boxes, and demonstrates how their internal behavior can be decomposed and meaningfully interpreted.
In the second paper in this section, I. Putić, S. Balaban, and L. Madžar search for optimal combination of the bivariate portfolios that minimize risk. The authors use the S&P 500 index as the primary instrument, with oil, gold, and silver considered as potential secondary real assets. Using daily closing price data from January 1, 2019, to May 28, 2024, the authors apply a multi-stage quantitative approach. They conclude that the combination of the S&P 500 and gold resulted in a substantial reduction in risk, while the Sharpe ratio confirms that this combination is an optimal choice for risk minimization.
The following paper in the same section, written by G. Đuranović and S. Filipović, explores whether the measures of the National Bank of Serbia contributed to the profitability of the Serbian banking sector before and during the crisis caused by two external shocks, the COVID-19 pandemic and the energy crisis triggered by the Russian-Ukrainian conflict. The authors showed that the profitability is high with the tendency to grow, because external shocks were successfully amortized and profitability increased significantly at the end of the observed period compared to 2019, which indicates stable bank operations, good cost control and successful credit risk management.
Finally, in the last paper in the Finance section, P. Stanković and A. Radojević studied 20 insurance companies operating in Serbia over the last 10-year period to determine the impact of specific factors on the profitability of insurance companies operating in Serbia. The results of the research indicate that age, premium revenue growth, and leverage have a statistically significant impact on the profitability of insurance companies.
In the Accounting, Auditing and Forensics section, D. Azdejković, V. Knežević, and N. Savić apply forensic tests to the data of the final accounts of Serbia’s budget. By using Benford’s law and by cross-referencing actual budget performance and audits, the authors demonstrate a comprehensive approach to forensic accounting analysis. The authors show how quantitative techniques and official oversight can complement each other in identifying and explaining potential issues in financial records.
In the Trade and Logistics section, A. Anđelković and G. Milanović present the results of a study conducted in an automotive company implementing the Just-in-Sequence strategy. The authors analyzed the perspectives of employees from the logistics, production, and sale sectors, as they are directly involved in the implementation of the analyzed strategy. The study showed that employees recognize a higher exposure to risk events when using the Just-in-Sequence strategy although employees from different sectors seem to perceive things differently. The authors recognize that decentralization and coordination can directly affect performance, particularly delivery lead times.
The last paper in this edition pertains to the Tourism section. In their paper, based on the Web of Science database, M. Leković and M. Seočanac collected and reviewed a total of 40 peer-reviewed papers on safety and security in tourism. The bibliometric analysis revealed the most prolific authors, the geographical distribution of authorship, the citation impact of the articles and journals, and the main research topics. The content analysis showed a predominant research focus on topics such as the effects of fraud, harassment, crime, systemic risks, and terrorism on tourism, with quantitative methods being used extensively.