Doğanay, Mehmet Mete
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Prof. Dr.
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mdoganay@cankaya.edu.tr
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İşletme
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Current Staff
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Scholarly Output
4
Articles
8
Citation Count
24
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0
4 results
Scholarly Output Search Results
Now showing 1 - 4 of 4
Article Towards Predicting Financial Information Manipulation(2007) Doğanay, Mehmet Mete; Alp, Ali; Doğanay, Mehmet Mete; 112010; İşletmeManipulation 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.Article Citation - WoS: 19Citation - Scopus: 24Increasing accuracy of two-class pattern recognition with enhanced fuzzy functions(Pergamon-elsevier Science Ltd, 2009) Celikyilmaz, Asli; Doğanay, Mehmet Mete; Tuerksen, I. Burhan; Aktas, Ramazan; Doganay, M. Mete; Ceylan, N. Basak; 122648; 1109; 112010; 108611; İşletmeIn building an approximate fuzzy classifier system, significant effort is laid oil estimation and fine tuning of fuzzy sets. However, in such systems little thought is given to the way in which membership functions are combined within fuzzy rules. In this paper, a robust method, improved fuzzy classifier functions (IFCF) design is proposed for two-class pattern recognition problems. A supervised hybrid improved fuzzy Clustering for classification (IFC-C) algorithm is implemented for structure identification. IFC-C algorithm is based oil it dual optimization method, which yields simultaneous estimates of the parameters of (c-classification functions together with fuzzy c partitioning of dataset based oil a distance measure. The merit of novel IFCF is that the information oil natural grouping of data samples i.e., the membership values, are utilized as additional predictors of each fuzzy classifier function to improve accuracy of system model. Improved fuzzy classifier functions are approximated using statistical and soft computing approaches. A new semi-non-parametric inference mechanism is implemented for reasoning. The experimental results Of the new modeling approach indicate that the new IFCF is it promising method for two-class pattern recognition problems. (c) 2007 Elsevier Ltd. All rights reserved.Article Citation - WoS: 3The role of liquidity in the pricing of stocks traded on the Istanbul Stock Exchange(Bilgesel Yayincilik San & Tic Ltd, 2010) Yüksel, Aslı; Yuksel, Asli; Yuksel, Aydin; Doğanay, Mehmet Mete; Doganay, Mete; 11028; 37770; 112010; İşletmeThe role of liquidity in the pricing of stocks traded on the Istanbul Stock Exchange This paper extends the empirical literature on the relationship between liquidity and stock returns by providing evidence from the Istanbul Stock Exchange. Using share turnover as a proxy for liquidity, this relationship is examined in two alternative ways. First, Fama and MacBeth (1973) cross-sectional regressions are employed with liquidity, beta, size and book to market ratio serving as potentia firm characteristics that may be relevant for pricing. Second, the role of liquidity is examined in a Fama and French (1993) framework. The findings reveal the following: Liquidity and book-to-market value are identified as two firm characteristics that appear to contain information about variation in expected returns. Moreover based on the explanatory power of the model and the Outcome of the Gibbon, Ross, and Shanken (1989) test, Fama and French (1993) three-factor asset-pricing model augmented by the liquidity factor appears to fit the data well.Article Türkiye’de Sinema Sektörünün Geçmişi; Bugünü ve Yarını: Karşılaştırmalı Bir Çalışma(2023) Doğanay, Mehmet Mete; Doğanay, Mehmet Mete; 112010; İşletmeBarındırdığı önemli özellikler sinemayı bir sanat ve eğlence kaynağı olmanın çok ötesine taşımıştır. Sinema ile ilgili yapılan birçok çalışma sinemayı değişik açılardan ele almıştır. Bu çalışmada sinemaya geniş bir perspektiften bakılmış ve sinema ile ilgili yapılan değişik birçok çalışma ile birlikte Internet Movie Database (IMDB)’de yer alan Türk filmleri ile ilgili araştırmalardan yararlanılmıştır. Çalışmanın temel amacı Türkiye’deki sinema sektörünü incelemek olmakla beraber, bir karşılaştırma imkânı sağlaması açısından dünyada sinema endüstrisi alanında önemli yeri olan başta ABD (Hollywood) olmak üzere örnek teşkil edebilecek Hindistan (Bollywood) ve Nijerya (Nollywood) sinema sektörlerinin de değişik açılardan incelenmesidir. Çalışmanın ilk iki bölümünde Hollywood, Bollywood ve Nollywood film endüstrilerinin gelişimi el alınmıştır. Üçüncü bölümde Türk sinemasının doğuşu ve gelişimi incelenmiştir. Çalışmanın dördüncü bölümünde ise Türk sinemasında film içerikleri örneklerle sunulmuştur. Son bölümde ise Türk sinemasının genel bir değerlendirmesi üzerinden Türk sinemasının geleceği üzerine fikirler ortaya atılmaktadır.
