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    2016年外文翻译--银行盈利能力的驱动因素:拉脱维亚和立陶宛的案例

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    2016年外文翻译--银行盈利能力的驱动因素:拉脱维亚和立陶宛的案例

    1、3100 英文单词, 17500 英文字符 ,中文 5350 字 文献出处: Titko J, Skvarciany V, Jureviien D. Drivers of bank profitability: Case of Latvia and LithuaniaJ. Intellectual Economics, 2016, 9(2):120-129. Drivers of bank profitability: Case of Latvia and Lithuania Jelena Titko, Viktorija Skvarciany, Daiva Jureviciene Abstr

    2、act The issues regarding measuring and managing bank performance are always on the agenda due to the critically important role of banks in the national economies of new member states of the European Union. The goal of the given study is to explore drivers of bank profitability in Latvia and Lithuani

    3、a. Research period covers 20082014. Performance of the banking sector is proxied by profitability ratios. The set of explanatory factors involves financial and non-financial measures. The core research method is a multiple regression analysis. Data processing is performed in SPSS environment. The pa

    4、per contributes to the scope of knowledge regarding bank performance drivers and the research results provide the basis for the future studies in the related field. Keywords: Bank profitability; Regression analysis; Latvia; Lithuania. 1. Introduction The issues regarding bank performance and its dri

    5、vers have been a frequently chosen topic for discussion among academicians and business professionals. Besides, the importance of these issues is always emphasized by governmental authorities due to the large contribution of banks into the national economic growth. Recent global financial crisis rev

    6、ealed the fact that Baltic banking sector is exposed to earnings risk more than the banking sector of other European countries. In 2009, ROE in the banking sector of Latvia and Lithuania was 44% and 56%, respectively (ECB, 2009a). In turn, average ROE in EU27 was only 2.83. Thus, issues regarding reasonable management of bank performance are still prioritized. Exploring the drivers of bank performance, some authors put the emphasis on the macroeconomic variables (Gerlach, Peng, & Shu,


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