Browsing by Author "Alp, Ali"

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How to Manage the Mortgage Credit Risk in Turkey? Can Dual-indexed Mortgages be a Remedy?
(2007) Alp, Ali; 112010
A market-oriented housing finance system has been under discussion in Turkey recently. In this article we analyze different types of mortgages that have been used in developed and developing countries to select the one that is most appropriate for Turkey-one which minimizes risks for both lenders and borrowers. Each type of mortgage presents different risks to borrowers and lenders. After taking into consideration the economic history of Turkey, we conclude that the most appropriate mortgage for Turkey that minimizes risk is the dual-indexed mortgage model. We test this model by using data from the most volatile period of the Turkish economy, applying historical simulation and Monte-Carlo simulation. We find that, using this model; the total loan is paid off in a reasonable period without causing substantial difficulty for lenders and borrowers. Analyses confirm that borrowers and lenders are exposed to minimum risk if this type of mortgage is originated in Turkey.
Prediction of financial information manipulation by using support vector machine and probabilistic neural network
(Pergamon-Elsevier Science LTD, 2009) Öğüt, Hulusi; Aktaş, Ramazan; Alp, Ali; Doğanay, M. Mete; 1109; 6974; 112010
Different methods have been used to predict financial information manipulation that can be defined as the distortion of the information in the financial statements. The purpose of this paper is to predict financial information manipulation by using support vector machine (SVM) and probabilistic neural network (PNN). A number of financial ratios are used as explanatory variables. Test performance of classification accuracy, sensitivity and specificity statistics for PNN and SVM are compared with the results of discriminant analysis, logistics regression (logit), and probit classifiers, which have been used in other studies. We have found that the performance of SVM and PNN are higher than that of the other classifiers analyzed before. Thus, both classifiers can be used as automated decision support system for the detection of financial information manipulation.
Towards Predicting Financial Information Manipulation
(2007) Doğanay, Mehmet Mete; Alp, Ali; Doğanay, Mehmet Mete; 112010
Manipulation is one of the important issues in securities markets because manipulative actions send false signals to the investors and make them buy or sell securities they otherwise would not buy or sell. There are different types of manipulations that can deceive investors. One type of manipulation is financial information manipulation. Manipulators, who use this type of manipulation, distort information in the financial statements in order to give false information about the prospects of the issuing firms. This paper attempts to predict financial information manipulation by using the multivariate statistical techniques and neural networks. A number of financial ratios are used as explanatory variables. The multivariate statistical techniques used are discriminant analysis, logistics regression (logit), and probit. Unlike other studies, the present study takes multicollinearity between financial ratios into account and conclude that the estimated multivariate statistical models rather than the neural networks can be used as early warning systems to detect possible financial information manipulations.
Türkiye'de İpotekli Konut Kredi Riskinin Yönetimi: Çift Endeksli Krediler Çözüm Olabilir mi?
(2007) Alp, Ali; Doğanay, Mete; 112010
Türkiye'de son zamanlarda piyasa tabanlı bir konut finansman sistemi arayışları mevcuttur. Bu çalışmada, gelişmiş ve gelişmekte olan ülkelerde kullanılan ipotekli konut kredileri araştırılmış ve Türkiye için hem kredi veren finansal kurumların hem de kredi kullanan kişilerin maruz kalabilecekleri riskleri minimize eden bir ipotekli konut kredisi modeli belirlenmeye çalışılmıştır. Değişik ipotekli konut kredisi türleri kredi verenler ve kredi kullanalar açısından değişik riskler taşımaktadır. Türkiye'de yaşanan ekonomik tecrübeler dikkate alındığında, tüm riskleri minimize eden ipotekli konut kredisi türünün çift endeksli kredi modeli olduğu tespit edilmiştir. Bu kredi modeli, ekonominin en dalgalı olduğu döneme ait veriler kullanılarak, tarihi simülasyon ve Monte-carlo simülasyonu yöntemleriyle test edilmiştir. Test sonuçları, çift endeksli ipotekli konut kredilinin gerek kredi veren finansal kurumları gerekse kredi kullanan kişileri önemli bir sıkıntıya sokmadan oldukça makul bir sürede ödenebildiğim göstermiştir. Analizler, bu tür kredilerin kullanılması durumunda kredi verenlerin ve kredi kullananların minimum riske maruz kalacaklarını teyit etmiştir.