Dedollarization and settlements in national currencies: Eurasian and Latin American experience

Mishina, V.; Khomyakova, L.I.

doi:10.32609/0042-8736-2020-9-61-79

Cited by 6 publications

(4 citation statements)

References 9 publications

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“…In short, the test consists of imposing nonperforming loans shocks to the balance sheet and P&Ls positions and checking the resulting value of the bank's equity and capital ratios. Alternatively, the stability of enterprises can be tested using linear programming and the probability of default method [40][41][42], but they require, inter alia, market data not available to all banks included in the sample. The research is based on data at the end of 2020, and the model examines the financial situation of banks at the end of next year.…”

Section: Methodsmentioning

confidence: 99%

The Impact of COVID-19 on Bank Equity and Performance: The Case of Central Eastern South European Countries

Kozak

2021

Sustainability

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The purpose of this article is to examine the impact of the shock increase, in the value of nonperforming loans, on the equity level and profitability of 141 banks in 18 countries of Central Eastern South Europe (CESE). This study is important for assessing the financial stability of banks in this region in the face of the continuing negative effects of the COVID-19 pandemic. Based on the annual data, as of the end of 2020, from the S&P Global database, stress tests were carried out to check what value of NPL growth, over the next year, will lead to breach the regulatory capital requirements in domestic sectors and in individual groups of banks. The results indicate that the banks in CESE were well capitalized and had the ability to maintain capital requirements with a 12% increase in nonperforming loans. The resilience of domestic banking sectors varies, and it is higher in non-EU countries. Smaller and non-public banks show a greater ability to preserve the appropriate level of equity, although there is a risk that they may postpone the time of provisioning credit risk and additionally increase lending to lower the NPL ratio. Larger banks are more profitable in times of crisis. The results of the research are important for assessing the stability of the banking sector in CESE during the crisis and can be used by financial supervision of the region’s countries and banking market analysts.

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Section: Methodsmentioning

confidence: 99%

The Impact of COVID-19 on Bank Equity and Performance: The Case of Central Eastern South European Countries

Kozak

2021

Sustainability

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“…The major issue that has so far been discussed as a MDB's role is the "mobilization of private finance," that is, the MDB's ability to crowd-in capital from private creditors. The MDB's role of "resource mobilization" is also identified as a vital element of financial additionality in the aforementioned MDB Task Force report [5], though it is classified differently from the category of "financing beyond what is available in the markets" in this study's focus (see again Table 1) (in a broad sense, the MDB role could be reconsidered under the situations with financial risks increasing, such as the trade war between the US and China (e.g., [6]) and the coronavirus pandemic (e.g., [7])).…”

Section: Literature Review and Contributionsmentioning

confidence: 99%

Financial Additionality of Multilateral Development Banks in Private Participation in Infrastructure Projects

Taguchi

Yasumura

2021

Sustainability

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This paper aims to provide empirical evidence for demonstrating financial additionality of multilateral development banks (MDBs) in private participation in infrastructure (PPI) projects in terms of financing beyond what is available in the markets. To verify MDB financial additionality, this study examines whether the PPI projects with multilateral support have significantly larger investment commitments than the total average projects by using the PPI database of the World Bank for 1996–2020. The empirical analysis identifies MDB financial additionality, in that the larger investment commitments of multilateral-supported projects beyond the average are confirmed in any income levels and regions in host countries and any sectors and types in the projects. In particular, MDB financial additionality is valid even in low-income countries where private finance is still too premature to be available. In the host countries where their government effectiveness is in the poorest edge, however, MDB financial additionality loses its significance, thereby requiring the governance enhancement and capacity building in the host countries and innovative blended finance instruments for its additionality to work.

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“…In the discipline of computer science and engineering, a decision tree is used for the diagnosis of medical diseases, electrical troubleshooting, image recognition, signal processing, etc. [10,12]. Concerning its industrial applications, the decision tree algorithm is widely used for fraud detection, the management of customer data, payment evaluations, etc.…”

Section: Introductionmentioning

confidence: 99%

Performance Improvement of Decision Tree: A Robust Classifier Using Tabu Search Algorithm

et al. 2021

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Classification and regression are the major applications of machine learning algorithms which are widely used to solve problems in numerous domains of engineering and computer science. Different classifiers based on the optimization of the decision tree have been proposed, however, it is still evolving over time. This paper presents a novel and robust classifier based on a decision tree and tabu search algorithms, respectively. In the aim of improving performance, our proposed algorithm constructs multiple decision trees while employing a tabu search algorithm to consistently monitor the leaf and decision nodes in the corresponding decision trees. Additionally, the used tabu search algorithm is responsible to balance the entropy of the corresponding decision trees. For training the model, we used the clinical data of COVID-19 patients to predict whether a patient is suffering. The experimental results were obtained using our proposed classifier based on the built-in sci-kit learn library in Python. The extensive analysis for the performance comparison was presented using Big O and statistical analysis for conventional supervised machine learning algorithms. Moreover, the performance comparison to optimized state-of-the-art classifiers is also presented. The achieved accuracy of 98%, the required execution time of 55.6 ms and the area under receiver operating characteristic (AUROC) for proposed method of 0.95 reveals that the proposed classifier algorithm is convenient for large datasets.

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Dedollarization and settlements in national currencies: Eurasian and Latin American experience

Cited by 6 publications

References 9 publications

The Impact of COVID-19 on Bank Equity and Performance: The Case of Central Eastern South European Countries

The Impact of COVID-19 on Bank Equity and Performance: The Case of Central Eastern South European Countries

Financial Additionality of Multilateral Development Banks in Private Participation in Infrastructure Projects

Performance Improvement of Decision Tree: A Robust Classifier Using Tabu Search Algorithm

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