<?xml version="1.0" encoding="UTF-8"?><feed xmlns="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/">
<title>İktisat Bölümü Yayın Koleksiyonu</title>
<link href="http://hdl.handle.net/20.500.12416/402" rel="alternate"/>
<subtitle>İktisat Bölümü yayınlarını içerir.</subtitle>
<id>http://hdl.handle.net/20.500.12416/402</id>
<updated>2026-10-28T16:30:09Z</updated>
<dc:date>2026-10-28T16:30:09Z</dc:date>
<entry>
<title>The Macroeconomic Effects Of Sovereign Risk Premium Shock: A Case Study For Turkey</title>
<link href="http://hdl.handle.net/20.500.12416/8192" rel="alternate"/>
<author>
<name>Varlık, Nimet</name>
</author>
<author>
<name>Gebeşoğlu, Fulya</name>
</author>
<id>http://hdl.handle.net/20.500.12416/8192</id>
<updated>2024-05-08T08:26:35Z</updated>
<published>2018-01-01T00:00:00Z</published>
<summary type="text">The Macroeconomic Effects Of Sovereign Risk Premium Shock: A Case Study For Turkey
Varlık, Nimet; Gebeşoğlu, Fulya
The macroeconomic effects of sovereign risk premium shocks in Turkey are investigated by employing Structural Vector Autoregression Model for the period 2005:12 - 2017:3. The model includes emerging market bond index plus Turkey (EMBI + TR) as an indicator of sovereign risk premium for Turkey. The empirical results of our analysis indicate that structural shocks in sovereign risk premium affect macroeconomic variables negatively in Turkey. One standard deviation shock in EMBI+TR results in devaluation of Turkish Lira, increase in price level, contraction in credit volume, decline in industrial production index and increase in current account balance. The impact of the negative changes in the sovereign risk premium on the exchange rate and the credit is higher compared to the other variables. It is concluded that results of variance decomposition analysis are consistent with the results of the impulse - response analysis and the impact of structural shocks in sovereign risk premium on credit is higher compared to other variables.
</summary>
<dc:date>2018-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>The intermediary institutions which are preferred for manipulative trading: Evidence from an emerging market</title>
<link href="http://hdl.handle.net/20.500.12416/8189" rel="alternate"/>
<author>
<name>Doğanay, Mete</name>
</author>
<author>
<name>Aktaş, Ramazan</name>
</author>
<author>
<name>Somuncu, Kartal</name>
</author>
<id>http://hdl.handle.net/20.500.12416/8189</id>
<updated>2024-05-08T08:26:15Z</updated>
<published>2017-09-01T00:00:00Z</published>
<summary type="text">The intermediary institutions which are preferred for manipulative trading: Evidence from an emerging market
Doğanay, Mete; Aktaş, Ramazan; Somuncu, Kartal
This research investigates the type of intermediary institutions chosen by&#13;
the manipulators for their manipulative trading. Univariate and multivariate&#13;
analyses are performed and three variables having significant effect on the&#13;
manipulators’ choice of intermediary institution for their manipulative&#13;
trading are found. These variables are being publicly traded, size in terms of&#13;
total assets, and gross profit margin. Being publicly traded and size are&#13;
positively; gross profit margin is negatively related to the manipulators’&#13;
choice of intermediary institution for their manipulative trading. Managers&#13;
of the intermediary institutions and regulators should be aware of these&#13;
results and regulators should scrutinize high volume transactions conducted&#13;
through this type of intermediary institutions more closely.
</summary>
<dc:date>2017-09-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Plant Size, Turnover and Productivity in Malaysian Manufacturing</title>
<link href="http://hdl.handle.net/20.500.12416/8171" rel="alternate"/>
<author>
<name>Doğan, Ergun</name>
</author>
<author>
<name>Wong, Koi Nyen</name>
</author>
<id>http://hdl.handle.net/20.500.12416/8171</id>
<updated>2024-05-08T08:23:11Z</updated>
<published>2010-01-01T00:00:00Z</published>
<summary type="text">Plant Size, Turnover and Productivity in Malaysian Manufacturing
Doğan, Ergun; Wong, Koi Nyen
Malaysian manufacturing has an asymmetrical structure: small and medium-sized enterprises&#13;
dominate in numbers, but contribute relatively little to total output, employment, and exports&#13;
as compared to their larger counterparts. In light of an increasingly competitive environment&#13;
arising from globalization, a sound knowledge of turnover patterns within the sector by plant&#13;
size and its potential impact on aggregate productivity growth is imperative. We find that&#13;
turnover, particularly of large plants, makes a substantial contribution to overall productivity&#13;
growth in manufacturing. Hence, from a policy perspective, facilitating turnover might be as&#13;
important as supporting existing plants in promoting aggregate productivity growth.
</summary>
<dc:date>2010-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Terrorism and the Stock Market: A Case Study for Turkey Using STR Models</title>
<link href="http://hdl.handle.net/20.500.12416/8020" rel="alternate"/>
<author>
<name>Çorakçı, Ayşegül</name>
</author>
<author>
<name>Omay, Tolga</name>
</author>
<id>http://hdl.handle.net/20.500.12416/8020</id>
<updated>2024-04-25T07:45:38Z</updated>
<published>2014-07-01T00:00:00Z</published>
<summary type="text">Terrorism and the Stock Market: A Case Study for Turkey Using STR Models
Çorakçı, Ayşegül; Omay, Tolga
Several attempts have been made in the literature to analyze the detrimental effects of terrorist activities on the stock market. However, in neither of these studies the effects of terrorist activities on stock returns are investigated through employing nonlinear models in spite of the fact that most financial data is shown to exhibit nonlinear behaviour. This study, therefore, aims to contribute to this growing area of research by exploring the potential nonlinear effects of terrorist activities on stock returns by employing smooth transition regression (STR) models. Our results show that terrorism has a statistically significant negative effect on the stock index when the intensity of terrorist activities passes a certain threshold level. This negative effect continues for terrorist activities below this threshold level, but becomes statistically insignificant. This study by conducting the analysis within a nonlinear framework offers important insights into the investors who want to make portfolio diversification strategies against terrorism risk.
</summary>
<dc:date>2014-07-01T00:00:00Z</dc:date>
</entry>
</feed>
