Retraction: Assessment of Russian banking system performance and sustainability
-
DOIhttp://dx.doi.org/10.21511/bbs.14(3).2019.17
-
Article InfoVolume 14 2019, Issue #3, pp. 202-211
- Cited by
- 1140 Views
-
186 Downloads
This work is licensed under a
Creative Commons Attribution 4.0 International License
Retracted on August 17, 2020 by the Journal’s owner and Publisher. Type of retraction – plagiarism.
There wasn’t a request for this retraction, but the reason for investigation of plagiarism fact was the Russian Academy of Sciences Committee’s report “Predatory Journals at Scopus and WoS: Translation Plagiarism from Russian Sources”: https://kpfran.ru/wp-content/uploads/plagiarism-by-translation-2.pdf” dated August 12, 2020. The publishing house has familiarized itself with the report. The article by Alexey Mikhaylov, Natalia Sokolinskaya and Evgeniy Lopatin (2019). Asset allocation in equity, fixed-income and cryptocurrency on the base of individual risk sentiment. Investment Management and Financial Innovations, 16(2), 171-181. doi:10.21511/imfi.16(2).2019.15 was mentioned in this report. It is noted that translation plagiarism was detected in this article - http://wiki.dissernet.org/wsave/IMFI_2019_2_1publ.html.
Due to this the publishing house carried out an investigation on possible cases of plagiarism of all articles of these authors (Alexey Mikhaylov, Natalia Sokolinskaya and Evgeniy Lopatin) published in “Business Perspectives” journals.
When the manuscript "Assessment of Russian banking system performance and sustainability" was submitted to the Journal for consideration, the authors signed the Cover letter and attested to the fact that their manuscript is an original research and has not been published before. Then, the manuscript was accepted for consideration by the Managing Editor and was tested for plagiarism using the iThenticate and Unicheck programs. Plagiarism was not detected. On August 12, 2020 the Russian Academy of Sciences Committee’s presented the report. Editorial staff decided to re-test all articles of mentioned authors for plagiarism using the iThenticate and Unicheck programs – the programs didn’t show the plagiarism, then the articles were tested for translation plagiarism by the experts of “Business Perspectives” and plagiarism was detected (plagiarism and paraphrases from Russian-language sources).
According to the results of the investigation, the Publisher and owner of the journal decided to retract this article because of plagiarism on August 17, 2020.
The authors were notified of such a decision.
- Keywords
-
JEL Classification (Paper profile tab)G20, G21, G28
-
References20
-
Tables2
-
Figures4
-
- Figure 1. Growth dynamics of total assets (liabilities) of the banking sector, RUR bln
- Figure 2. Growth dynamics of total assets (liabilities) of the banking sector, % of GDP
- Figure 3. Loans and other placed funds provided to non-financial organizations and individuals, including overdue debts (RUR bln)
- Figure 4. Loans and other placed funds provided to non-financial organizations and individuals, including arrears, % of GDP
-
- Table 1. Factors of crises in the banking sector
- Table 2. Macroeconomic indicators of the banking sector performance of the Russian Federation
-
- Abdul-Majid, M., Saal, D. S., & Battisti, G. (2010). Efficiency in Islamic and conventional banking: an international comparison. Journal of Productivity Analysis, 34(1), 25-43.
- Abedifar, P., Molyneux, P., & Tarazi, A. (2013). Risk in Islamic banking. Review of Finance, 17(6), 2035-2096.
- Agarwal, V., & Taffler, R. (2008). Comparing the performance of market-based and accounting-based bankruptcy prediction models. Journal of Banking and Finance, 32(8), 1541-1551.
- Ahmad, N. H., & Ariff, M. (2007). Multi-country study of bank credit risk determinants. International Journal of Banking and Finance, 5(1), 135-152.
- Alkassim, F. A. (2005). The profitability of Islamic and conventional banking in the GCC countries: A comparative study. Journal of Review of Islamic Economics, 13(1), 5-30.
- Altman, E. I. (1968). Financial ratios, discriminant analysis and the prediction of corporate bankruptcy. The Journal of Finance, 23(4), 589-609.
- Altman, E. I., & Saunders, A. (1997). Credit risk measurement: Developments over the last 20 years. Journal of Banking and Finance, 21(11), 1721-1742.
- Denisova, V. (2019). Energy efficiency as a way to ecological safety: evidence from Russia. International Journal of Energy Economics and Policy, 9(5), 32-37.
- Denisova, V., Mikhaylov, А., & Lopatin, E. (2019). Blockchain Infrastructure and Growth of Global Power Consumption. International Journal of Energy Economics and Policy, 9(4), 22-29.
- Hunjra, A. I., Niazi, A., Akbar, S. W., & Rehman, K. (2011). Application of Finance Techniques: An Empirical Analysis of Pakistani Corporate Sector. Actual Problems of Economics, 9, 394-404.
- Johansen, S. (1991). Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models. Econometrica, 59(6), 1551-1580.
- Lopatin, E. (2019). Methodological Approaches to Research Resource Saving Industrial Enterprises. International Journal of Energy Economics and Policy, 9(4), 181-187.
- Meynkhard, A. (2019). Energy Efficient Development Model for Regions of the Russian Federation: Evidence of Crypto Mining. International Journal of Energy Economics and Policy, 9(4), 16-21.
- Mikhaylov, A. (2018a). Pricing in Oil Market and Using Probit Model for Analysis of Stock Market Effects. International Journal of Energy Economics and Policy, 8(2), 69-73.
- Mikhaylov, A. (2018b). Volatility Spillover Effect between Stock and Exchange Rate in Oil Exporting Countries. International Journal of Energy Economics and Policy, 8(3), 321-326.
- Mikhaylov, A. (2019). Oil and Gas Budget Revenues in Russia after Crisis in 2015. International Journal of Energy Economics and Policy, 9(2), 375-380.
- Nyangarika, A., Mikhaylov, A., & Richter, U. (2019a). Influence Oil Price towards Economic Indicators in Russia. International Journal of Energy Economics and Policy, 9(1), 123-130.
- Nyangarika, A., Mikhaylov, A., & Richter, U. (2019b). Oil Price Factors: Forecasting on the Base of Modified Auto-regressive Integrated Moving Average Model. International Journal of Energy Economics and Policy, 9(1), 149-160.
- Nyangarika, A., Mikhaylov, A., & Tang, B.-J. (2018). Correlation of Oil Prices and Gross Domestic Product in Oil Producing Countries. International Journal of Energy Economics and Policy, 8(5), 42-48.
- Singer, E. (2007). Oil Price Volatility and the US Macroeconomy: 1983–2006 (Working paper). Minnesota of USA: Carleton College.