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    The impact of education level and gender on job search duration in Turkey
    (Edam, 2015) Alp, Elcin Aykac; Sefil, Sinem; Sak, Ali Kursat
    This study examines the effects of changes in unemployment rates on job search duration based on education level and gender in Turkey. Using monthly data obtained from the Turkish Statistical Institute for the period January 2005 through February 2013, we investigated the relationship between job search behavior and unemployment among participants with different education levels and genders. Results show that, in general, unemployment rate negatively affected the university graduates’ probability of finding a job, though male university graduates’ probability of finding a job was affected positively from their unemployment rate. High school graduates were affected positively from an increase in the overall unemployment rate, and when females and males were examined separately, the unemployment rate of the each group showed positive effects. Considering that vocational high school graduates obtain the same degree as traditional high school graduates but are taught required skills for specific jobs, our findings differed for this group compared with traditional high school graduates showing similarities with the results for university graduates. For the illiterate group, unemployment rate was positively related to job-seeking behavior; therefore, unskilled workers found jobs easily during high unemployment periods. © 2015 EDAM.
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    News Sentiment and Cryptocurrency Volatility
    (Springer Science and Business Media Deutschland GmbH, 2019) Cankaya, Serkan; Alp, Elcin Aykac; Findikci, Mefule
    The cryptocurrency market has shown remarkable growth in the last decade, resulting in heightened interest in research on several aspects of cryptocurrencies. The drastic price fluctuations have attracted attention from investors, but they have also raised concerns from national regulatory institutions. Several studies are conducted to understand the factors and the dynamics of its value formation. It is becoming more important to be able to value cryptocurrencies as an investor and as part of the process to legitimize them as a financial asset. This study aims to contribute to this field of research by examining the relationship between cryptocurrency’s volatile returns and the effects of different types of news on selected cryptocurrencies. This paper categorizes the news about cryptocurrencies and determines the effect of news from each category on the return structure of each cryptocurrency. By using 1054 news sources, 22 categories are created, and a clustering analysis is used to set these categories into six groups. These groups are modelized in proper ARCH family models, which are created for different cryptocurrencies to analyze the effect on volatility. The results show that different cryptocurrencies react differently to various news categories. News about regulations from national authorities exhibit a significant effect on all selected cryptocurrencies. © Springer International Publishing AG, part of Springer Nature 2018.