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In this study, the option pricing performance of the adjusted Black-Scholes model proposed by Corrado and Su (1996) and corrected by Brown and Robinson (2002), is investigated and compared with original Black Scholes pricing model for the Turkish derivatives market. The data consist of the European options written on BIST 30 index extends from January 02, 2015 to April 24, 2015 for given exercise prices with maturity April 30, 2015. In this period, the strike prices are ranging from 86 to 124. To compare the models, the implied parameters are derived by minimizing the sum of squared deviations between the observed and theoretical option prices. The implied distribution of BIST 30 index does not significantly deviate from normal distribution. In addition, pricing performance of Black Scholes model performs better in most of the time. Black Scholes pricing Formula, Carrado-Su pricing Formula, Implied Parameters

<p>Location selection problem in banking is an important issue for the commercial success in competitive environment. There is a strategic fit between the location selection decision and overall performance of a new branch. Providing physical service in requested location as well as alternative distribution channels to meet profitable client needs is the current problematic to achieve the competitive advantage over the rivalry in financial system. In this paper, an integrated model has been developed to support in the decision of branch location selection for a new bank branch. Analytic Hierarchy Process (AHP) technique has been conducted to prioritize of evaluation criteria, and multi-objective optimization on the basis of ratio analysis (MOORA) method has been applied to rank location alternatives of bank branch.  </p>

<p>Developments in international financial markets concern both developed countries and developing countries closely. The transactions of institutions arising from of commercial activities display a more complex and more risky state in line with international economic developments. The globalization trend in the world economy, the extreme fluctuations in currencies, interests and product prices have rendered closely following up the developments in financial tools mandatory. Taking advantage of derivative financial tools which increase the revenue of assets by taking future risks into consideration, impact a decrease in debt costs and has the purpose of transferring risks are of vital importance with respect to the successful management of companies. At the present time in which international commerce, free market economy and globalization has gained in importance, one of the derivative products used in risk management and have a wide implementation area is swap transactions. Swap transactions can be expressed as a financial transaction including the exchange of interest, foreign currency or both between two or more parties. Swap transactions in particular are used for purposes such as protection against risks due to interest rates and exchange rates, ensuring low cost financing, changing the debt structure and entering different markets. In this study, the generally defined characteristics of swap transactions, which have an important standing within financial risk management and have been rapidly developing in the world in recent years and their recognition according to the International Accounting Standard 39 concerning the recognition of swap transactions, which has in particular termed the study have been focused on. In the framework of the standard, interest swap and foreign currency swap implementation study were included with respect to the matter.</p>

Conditionality is mostly defined as the EU policy engendered for candidate countries. However, the mere use of conditionality by the EU does not essentially explain transferring of policies and EU rules towards the candidate countries. EU conditionality may be considered as a comprising approach but in certain policy areas or countries it might not be as successful as it was on other ones. The EU conditionality basically defined as a bargaining policy of affecting through reward, under which the EU provides inducements to candidate or neighbor countries to aligning with the conditions of the EU. In this study the explanatory power of conditionality would be questioned; so the main question will be “to what extent does the EU have influence on policy convergence in a candidate country that does not have a clear membership perspective? Taxation chapter in accession negotiations between Turkey and the EU has been chosen as the case of this research as providing to have an answer on this question. The main objective of this paper is ‘analyzing the extent of EU conditionality on Turkish taxation policy.’ Furthermore, it is argued in this study that “without a concrete incentive, European Union’s impact on a candidate country would be limited.” 

This paper demonstrates the relationship between CAMELS ratios and credit ratings of deposit banks in Turkey. Annual data was used for the period between 2004 and 2014 in this study. Moreover, 20 deposit banks of Turkey were analyzed and 21 different ratios of CAMELS components were used. In addition to that, credit ratings of these banks were provided from Moody’s corporation or annual activity reports of the banks. After that, we created multi nominal logistic regression analysis in order to illustrate the relationship. The major finding in this study is that three components (Asset Quality, Management Quality, and Sensitivity to Market Risk) of CAMELS have effects on credit ratings whereas the ratios related to Capital Adequacy and Earnings are not effective. As a result, it was recommended that Turkish deposit banks should concentrate on the percentage of fixed assets and interest income to have a better rating. Moreover, having high market share with respect to total assets and lower interest expense are also other important points for this purpose. On the other hand, Turkish deposit banks should control the proportion of financial assets and increase the amount of FX liquid assets to prevent credit ratings to decrease. Additionally, market share of banks for loans should not reach at high level for this objective.

Adam Smith being its founder, in the Classical School, which gives prominence to supply and adopts an approach of unbiased finance, the economy is always in a state of full employment equilibrium. In this system of thought, the main philosophy of which is budget balance, that asserts that there is flexibility between prices and wages and regards public debt as an extraordinary instrument, the interference of the state with the economic and social life is frowned upon. In line with the views of the classical thought, the classical fiscal policy is based on three basic assumptions. These are the "Consumer State Assumption", the assumption accepting that "Public Expenditures are Always Ineffectual" and the assumption concerning the "Impartiality of the Taxes and Expenditure Policies Implemented by the State". On the other hand, the Keynesian School founded by John Maynard Keynes, gives prominence to demand, adopts the approach of functional finance, and asserts that cases of underemployment equilibrium and over-employment equilibrium exist in the economy as well as the full employment equilibrium, that problems cannot be solved through the invisible hand, that prices and wages are strict, the interference of the state is essential and at this point fiscal policies have to be utilized effectively.Keynesian fiscal policy depends on three primary assumptions. These are the assumption of "Filter State", the assumption that "public expenditures are sometimes effective and sometimes ineffective or neutral" and the assumption that "the tax, debt and expenditure policies of the state can never be impartial".

Data mining technology is one of the new technologies that have become increasingly popular. Data mining enables to form forecasts and models regarding future by making use of past data. It can be costly, risky and time consuming for enterprises to gain knowledge. Firms gain important competitive advantage by data mining methods. This study analyzes on the readiness to implement and the extent of utilization of data mining technologies in the Financial Information Systems (FIS) in Borsa Istanbul and also researches the level of understanding of, perceptions of and readiness to implement data mining technologies within the Borsa Istanbul.  Analysis was undertaken using SPSS. Manufacturing and financial enterprises are the universal of this study. Primary data were obtained by using survey method and questionnaire technique and findings of the study were evaulated. Technological, organisational and human resources issues had a significant role in the decision to, or not to utilize data mining technology. The ability to use data mining technology was found to be increased the performance of the Financial Information System.

The aim of this study to examine the performance of Support Vector Regression (SVR) which is a novel regression method based on Support Vector Machines (SVM) approach in predicting the Istanbul Stock Exchange (ISE) National 100 Index daily returns. For bechmarking, results given by SVR were compared to those given by classical Linear Regression (LR). Dataset contains 6 technical indicators which were selected as model inputs for 2005-2011 period. Grid search and cross valiadation is used for finding optimal model parameters and evaluating the models. Comparisons were made based on Root Mean Square (RMSE), Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), Theil Inequality Coefficient (TIC) and Mean Mixed Error (MME) metrics. Results indicate that SVR outperforms the LR for all metrics.

Location selection problem in banking is an important issue for the commercial success in competitive environment. There is a strategic fit between the location selection decision and overall performance of a new branch. Providing physical service in requested location as well as alternative distribution channels to meet profitable client needs is the current problematic to achieve the competitive advantage over the rivalry in financial system. In this paper, an integrated model has been developed to support in the decision of branch location selection for a new bank branch. Analytic Hierarchy Process (AHP) technique has been conductedto prioritize of evaluation criteria, and multi-objective optimization on the basis of ratio analysis (MOORA) method has been applied to rank location alternatives of bank branch.

Developments in international financial markets concern both developed countries and developing countries closely. The transactions of institutions arising from of commercial activities display a more complex and more risky state in line with international economic developments. The globalization trend in the world economy, the extreme fluctuations in currencies, interests and product prices have rendered closely following up the developments in financial tools mandatory. Taking advantage of derivative financial tools which increase the revenue of assets by taking future risks into consideration, impact a decrease in debt costs and has the purpose of transferring risks are of vital importance with respect to the successful management of companies. At the present time in which internationalcommerce, free market economy and globalization has gained in importance, one of the derivative products used in risk management and have a wide implementation area is swap transactions. Swap transactions can be expressed as a financial transaction including the exchange of interest, foreign currency or both between two or more parties. Swap transactions in particular are used for purposes such as protection against risks due to interest rates and exchange rates, ensuring low cost financing, changing the debt structure and entering different markets. In this study, the generallydefined characteristics of swap transactions, which have an important standing within financial risk management and have been rapidly developing in the world in recent years and their recognition according to the International Accounting Standard 39 concerning the recognition of swap transactions, which has in particular termed the study have been focused on. In the framework of the standard, interest swap and foreign currency swap implementation study were included with respect to the matter

In recent decades, it is gaining more and more dominance in both academic and business life that the company exists for and has responsibilities toward a wider group of stakeholders and it must have some objectives other than profitability. To achieve sustainable development and growth, the companies must assume more duties, which is called the term “corporate social responsibility (CSR).” In the literature, it is questioned whether CSR activities benefit the company or not; whether there is any relationship exists between CSR activities and the company’s financial performance and the direction of the relationship. We aimedto explore that whether there is any effect corporate social performance (CSP) on financial performance and position and vice versa. We performed content analysis through annual reports and derived a social score composed of the items included in disclosure guidelines and some criteria used in CSR ratings. We also used several financial position and financial performance indicators. In order to explore the relationship between CSP and financial indicators, we run panel data regressions. We found significant results for some of the indicators, where some of the indicators gave insignificant results. The reporting of CSR activities is in very low levels. The conscious toward CSR and sustainability must be promoted and the companies must assume more active roles. The reporting of those activities is also important.

Nowadays the role of local governments is bigger than ever considering the central authority in Turkey. Especially, one can observe that the municipalities’ tasks are depended on their financial structures. In this study the financial resources of Turkish municipalities are evaluated. The obtained findings illustrate that the municipalities have three different financial resources and these resources might be sufficient to make their activities.  

<p>Nowadays, almost all sectors especially service ones are aware of the fact that the presence of employees who have high level of emotional intelligence and innovative work behaviors is crucial so as to perform efficiently and productively. Since customer satisfaction and customer loyalty are the main primacy for the banking sector, they need to keep up with all kinds of changes and developments to resist and gain advantages over their competitors subject to the highly increase of competition worldwide.  The main reason of applying this study on the banking sector is its dynamic structure that has been changed both positively and negatively owing to the economic crisis. In connection with this, it is aimed to present the importance of emotional intelligence and innovative work behaviors on the success of banking sector through the analysis of two variables in terms of their relationship between each other. Additionally, it is intended for setting forth the differences of state-owned and private banks in terms of the level of emotional intelligence and innovative work behaviors. As a data collection tool, questionnaire technique has been used. It has been benefited from the emotional intelligence scale developed by Wong and Law to obtain the data related to emotional intelligence level; and the innovative work behaviors scale developed by Janssen to obtain the data related to innovative work behaviors. The findings obtained from the questionnaire were applied to 332 employees in Turkish banking sector.</p>