14 research outputs found

    Influencing Factors of Net Interest Margin in Turkish Banking Sector

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    The aim of this paper is to define the influencing factors of net interest margin in Turkish banking sector. Within this scope, the effects of 14 explanatory variables on net interest margin were analyzed. Moreover, quarterly data for the period between 2003 and 2014 was used in this study. After that, we created a model by using MARS method so as to illustrate the relationship. The major finding in this study is that net interest margin is negatively related with non-interest income, non-performing loans, total assets and exchange rates. According to these results, it was determined that banks should focus on the quality of the assets in order to increase net interest margin. In addition to this situation, volatility in exchange rates should also be taken into the consideration by the banks for this situation. Keywords: Banking; Net Interest Margin; MARS; Turkey JEL Classifications: E43, G2, G21, O1

    A Comparison of the Views of Internal Controllers/Auditors and Branch/Call Center Personnel of the Banks for Operational Risk: A Case for Turkish Banking Sector

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    The aim of this paper is to compare the views of internal controllers/auditors and branch/call center personnel of the banks with respect to the operational risk. Within this scope, we made two different surveys to the personnel in Turkish banks in order to achieve this objective. The first survey was conducted by 310 branch and call center personnel whereas 151 personnel in internal control and audit departments of the banks carried out the second survey. The major finding in this study is that there is a difference in the views of these two groups regarding the evaluation of operational risk. In general, internal controllers/auditors look at the operational risk more negatively than branch/call center personnel. The personnel who control and audit operations in the bank think that operational risk knowledge level of branch/call center personnel is less sufficient, operational risk levels are higher, the controls to avoid this risk are less efficient than branch/call center personnel consider

    Identifying the Determinants of Interest Rate Risk of the Banks: A Case of Turkish Banking Sector

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    In this study, we aimed to explain the influencing factors of interest rate risk in Turkish banking sector. Within this scope, 20 deposit banks in Turkey were evaluated. Furthermore, annual data for the periods between 2006 and 2015 was analyzed by using panel logit method. According to the results of this analysis, it was identified that 2 explanatory variables affect interest rate risk of Turkish banks. First of all, it was determined that banks, which have higher amount of deposits, are exposed to higher amount of interest rate risk. In addition to this situation, it was also defined that there is a negative relationship between the amount of capital and interest rate risk. As a result of this issue, it was recommended that Turkish banks should increase capital amount in order to manage interest rate risk more effectively

    Identifying the Determinants of Interest Rate Risk of the Banks: A Case of Turkish Banking Sector

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    In this study, we aimed to explain the influencing factors of interest rate risk in Turkish banking sector. Within this scope, 20 deposit banks in Turkey were evaluated. Furthermore, annual data for the periods between 2006 and 2015 was analyzed by using panel logit method. According to the results of this analysis, it was identified that 2 explanatory variables affect interest rate risk of Turkish banks. First of all, it was determined that banks, which have higher amount of deposits, are exposed to higher amount of interest rate risk. In addition to this situation, it was also defined that there is a negative relationship between the amount of capital and interest rate risk. As a result of this issue, it was recommended that Turkish banks should increase capital amount in order to manage interest rate risk more effectively

    Causality Relationship Between Import, Export and Growth Rate in Developing Countries

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    In this paper, we tried to determine the relationship between imports, exports and growth rate in developing countries. Within this scope, 6 developing countries (Argentina, Brazil, China, Malaysia, Mexico and Turkey) were analyzed in this study. In order to achieve this purpose, annual data for the periods between 1961 and 2014 was tested by using Engle Granger co-integration analysis, Vector Error Correction Model and Toda Yamamoto causality analysis. According to the result of the analysis, it was determined that there is not any relationship among three variables in Brazil and Mexico. On the other hand, we defined that increase in export causes higher growth rate in Argentina. Moreover, it was concluded that there is a causal relationship from import to export in China and Turkey. Furthermore, it was determined that export causes higher import in Malaysia. Therefore, it can be concluded that the relationship between import, export and growth rate is not same for all developing countries.

    Comparison of efficacy and safety of three different chemotherapy regimens delivered with concomitant radiotherapy in inoperable stage III non-small cell lung cancer patients

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    Concomitant administration of chemotherapy and radiotherapy is currently recognized as the standard of treatment in locally advanced inoperable non-small cell lung cancer (NSCLC). Our study aimed to compare the efficacy and toxicities of three different chemotherapy regimens delivered concurrently with radiotherapy. We retrospectively reviewed the clinical records of patients who received the PE (cisplatin, 50 mg/m(2), on days 1, 8, 29, and 36 plus etoposide, 50 mg/m(2), on days 1 to 5 and 29 to 33), PD (docetaxel, 20 mg/m(2), on day 1 plus cisplatin, 20 mg/m(2), on day 1, every week), and PC (carboplatin, AUC 2 plus paclitaxel, 45 mg/m(2), on day 1, every week) regimens concurrently with radiotherapy. A total of 227 patients were evaluated in the study. Median follow-up time was 13 months (2-101). There were 27 females (11.9 %) and 200 males (88.1 %) with a median age of 61 (38-82) years. The PD group had higher rates of esophagitis, mucositis, and anemia (p < 0.05). The PC group had higher rates of neuropathy (p = 0.000). The progression-free survival (PFS) time was 10 months for patients in the PC group, 15 months for patients in the PD group, and 21 months for the PE group (p = 0.010). Patients in the PC group had a median overall survival time of 23 months, those in the PD group 27 months, and those in the PE group 36 months (p = 0.098). Combination of cisplatin-etoposide with radiotherapy led to a more favorable outcome compared with the other two regimens. It shows generally manageable toxicity profile and compliance to treatment is noticeable

    Pretreatment PET/CT Standardized Uptake Values Play a Role in Predicting Response to Treatment and Survival in Patients with Small Cell Lung Cancer

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    Background: We investigated the role of standardized uptake values (SUVs) of the primary tumor in small cell lung cancer (SCLC) patients. Patients and Methods: The relationship between SUV and response to treatment was investigated using receiver operating characteristic (ROC) curve analysis, and the efficient cut-off value for detecting response to treatment was determined. The effects of SUV on response to treatment and survival were investigated. Results: 90 patients with a median age of 58 years (range 39-83 years) were included. Median follow-up was 11 months. The suitable cut-off SUV for determination of response was found to be 10 in ROC analysis. The sensitivity and specificity of this value were 85.7% (95% confidence interval (95% CI) 63-96) and 61.8% (95% CI 49-73) (area under the curve 0.783; p = 0.0001), respectively. The overall objective response rate in patients with involvement above the cut-off value was 93.3% compared to 59.1% in those with involvement below the cut-off value (p < 0.0001). In uni- and multivariate analysis, favorable effects of limited-stage disease on response to treatment were established (p < 0.05). The effect of an SUV higher than the cut-off value on progression-free survival was borderline (p = 0.085). Conclusion: These data may contribute to identifying prognostic disease characteristics and response to treatment. (C) 2016 S. Karger GmbH, Freibur
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