This paper aims to explore the daily and intraday herd behavior of various investor groups trading in an emerging equity market, Borsa Istanbul (BIST). We analyze a one-year tick-by-tick order and trade data of BIST 100 Index stocks and document differences in herding behavior of investor groups considering market capitalization, market conditions, and announcements as well as daily and intraday periodicities. We find that nonprofessional investors (brokerage houses and domestic funds) tend to ...

This survey highlights issues in clustering which hinder in achieving optimal solution or generates inconsistent outputs. We called such malignancies as dark patches. We focus on the issues relating to clustering rather than concepts and techniques of clustering. For better insight into the issues of clustering we categorize dark patches into three classes and then compare various clustering methods to analyze distributed datasets with respect to classes of dark patches rather than conventional ...

In order to meet future communication system requirements channel estimation over fast fading and frequency selective channels is crucial. In this paper Space Alternated Generalized Expectation Maximization Maximum a Posteriori (SAGE-MAP) based channel estimation algorithm is proposed for Orthogonal Frequency Division Multiplexing (OFDM) systems for Autoregressive (AR) modeled time-varying sparse channels. Also an initialization algorithm has been developed from the widely used sparse approximation ...

This chapter dissects the opening sequences of Skyfall (2012) in Istanbul and Spectre (2015) in Mexico City in order to argue that Eon's predilection for runaway productions has begun began to influence the textual composition of the James Bond film series. Eon Productions often modifies the narratives and settings of its Bond features in order to exploit the increasingly global availability of funding schemes, tax incentives, and cheap labor, and to secure, on a global scale, profitable distribution ...

This article reviews the ways in which various actors in Turkey have used the terms 'Eurasia' and 'Eurasianism' since the end of the Cold War. It presents two arguments. First, compared to Russian Eurasianism, it is difficult to talk about the existence of a 'Turkish Eurasianism'. Yet, the article employs the term Turkish Eurasianism as a shorthand to describe the ways in which Eurasia and Eurasianism are employed in Turkey. Second, Turkish Eurasianism is nothing but the use or instrumentalization ...

Atmosfere salınan GHG'in küresel ısınmaya olan olumsuz etkisi göz ardı edilemez. Fosil yakıtlı elektrik üretim santralleri, ekonomisi büyümekte olan her ülke gibi Türkiye'nin de elektrik üretiminin büyük bir kısmını oluşturmaktadır. Dolayısıyla, elektrik üretim sektörü Türkiye'deki GHG salınımının önemli bir kısmını meydana getirmektedir. Paris Anlaşması ve Kyoto Protocol'ü gibi ulusal bağlayıcıların yanı sıra Türkiye Cumhuriyeti Devleti'nin kendi yaptığı çalışmalar doğrultusunda ön-ümüzdeki ...

Assembly line balancing problems are generally considered to be complicated in real life. Like most complicated real life assembly line balancing problems obtaining a good solution is much easier than finding an optimal solution especially with big size problems. As a result, many heuristic approaches have been developed to find good optimal solutions to those problems. In this study, we develop a decision support system that solves a deterministic assembly line balancing problem using three ...

Social assistance has become prominent in combating poverty in developing countries and has also contributed to the popularity and election success of governments implementing it. In this paper I employ household surveys and investigate the effect of social assistance on poverty and income inequality in Turkey. I also review the recent literature on poverty as well as different components of social protection spending: education health pensions and housing. In the empirical analysis I show that ...

Biological sciences and medicine have been rapidly becoming data-intensive disciplines. Machine learning algorithms in particular deep learning methods are becoming essential tools of data analysis to facilitate our understanding of complex biological systems by extracting highly non-trivial patterns in data. The focus of this master thesis is to develop a working understanding of general deep learning approach and apply these approaches on a variety of biological and medical data classes. More ...

Business organisations are facing increasing pressure over their role in society. Social innovation is a relatively new concept used to define efforts to develop novel and innovative solutions to social challenges. The aim of this study is to conceptualise a novel form of social innovation, namely, ‘corporate social innovation’, by focusing on social innovation efforts initiated by private sector organisations. This study also aims to provide insight into: 1) the definition of corporate social ...