İktisadi ve İdari Bilimler Fakültesi

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Citation - WoS: 2
Citation - Scopus: 2
An Alternative Mean Reversion Test for Interest Rates
(Central Bank Republic Turkey, 2018) Ozel, Ozgur; Ilalan, Deniz
A number of empirical studies assert that interest rates are governed by unit root processes rejecting any form of reversion to a long term mean by resorting to certain tests, among which the Augmented Dickey Fuller (ADF) is the most widely used one. In this study, we propose an alternative testing methodology that can be applied along with ADF test, in the sense that there are times where it can capture stationarity when the other fails to do so. Moreover, our test has more power than ADF test. As an application to real-data, we consider 10-year US and Turkish T-bond rates. (C) 2017 Central Bank of The Republic of Turkey. Production and hosting by Elsevier B.V.
Citation - WoS: 1
Citation - Scopus: 1
The Crime of Genocide in International Law and Underlying Social Structures of the Crime: Rwanda Case
(Uluslararasi Iliskiler Konseyi dernegi, 2008) Coban, Ebru
Genocide is a crime which is defined under international law in the twentieth century and could not come about without the ideological, bureaucratic power of a modern state with its sanctions and modern discourses on identities and modern classifications. With a non-modern picture but with modem techniques of governing Rwanda was a place that genocidal killings occurred and is a place of a breaking case for modem theories. Rwanda has modern state characteristics in terms of monopoly of use of violence, giving orders and providing obedience of its people, surveillance, classification and registration of its people, and keeping discourses. Moreover, Rwandan culture that gives great importance to obedience and Rwandan geography that is so suitable to surveillance become additional factors. In that sense, Rwandan governments could influence to daily life of the people even to the smallest details of anyone. All factors provided a suitable base for the crime of genocide.
Citation - WoS: 1
Early Ottoman-Dutch Political and Commercial Relations After 1612 Capitulations
(Publ House Bulgarian Acad Sci, 2004) Ari, B; Arı, Bülent; Siyaset Bilimi ve Uluslararası İlişkiler
Citation - WoS: 2
Citation - Scopus: 3
Economic Sentiment and Foreign Portfolio Flows: Evidence From Türkiye
(Central Bank Republic Turkey, 2024) Ozkan, Ibrahim; Erden, Lutfi; Gunes, Didem
The notable surge in capital flows in recent years has emerged as a key factor shaping the dynamics of international financial markets and influencing economic performance of emerging economies. Even though macroeconomic fundamentals of an economy can explain some of the patterns in international capital flows, behavioral factors also seem to be essential for positioning capital flows across countries. In this study, we aim to examine whether overall economic sentiment towards Turkish economy plays a significant role on net portfolio flows to Turkiye. To this end, we first construct a novel text-based sentiment index called "Turkish Economic Sentiment Index (TESI)", to capture the behavioral tendencies of international investors and media towards Turkiye. Our subsequent step integrates TESI into autoregressive distributed lag models (ARDL) alongside major pull-push determinants to assess whether market sentiment holds discernible influence on capital influx into Turkey. The results reveal that the TESI and VIX stand out as pivotal determinants influencing international portfolio flows. The TESI has a positive impact on portfolio flow dynamics, whereas the degree of global risk aversion inversely affects these flows. These findings align with the contention that a favorable sentiment can boost portfolio inflows to emerging markets. Conversely, heightened volatility expectations in global markets can prompt outflows from these economies.
Citation - WoS: 6
Citation - Scopus: 10
The Effect of Knowledge Management, Technological Capability and Innovation on the Enterprise Performance: a Comprehensive Emperical Study of the Turkish Textile Sector
(World Scientific Publ Co Pte Ltd, 2011) Hamsioglu, Ahmet Bugra; Gokmen, Aytac
This study aims to analyse the correlation among enterprise performance, knowledge management, technological capability and innovation. The sample of the study comprised 96 textile enterprises among the 500 largest companies in Turkey. Among those 96 companies, 45 of them responded to the research proposal and 225 questionnaires were assessed. The data acquired was analysed with factor analysis, correlation analysis, regression analysis and descriptive analysis. As a result of the research, a high level and significant correlation among the variables was established and the positive effect of knowledge management and technological capability on innovation was detected. Moreover, innovation was found to have a positive effect on performance as well.
Citation - WoS: 3
Citation - Scopus: 4
An Empirical Survey of Consumer Ethnocentrism in Kazakhstan and the Preference of Consumers on Imported Products
(Ahmet Yesevi Univ, 2017) Nakip, Mahir; Nakip, Mahir; Gokmen, Aytac; Gökmen, Aytaç; Uluslararası Ticaret ve Finansman
The reality of globalization declines the frontiers for cross border international trade and investments as well as functions as a means to converge the consumer needs and expectations on a global base. The convergence of the expectations of consumers is considerably beneficial for international businesses in their international marketing activities. However, this issue does not realize in every country or regional market. Yet, consumer ethnocentrism is a profound obstacle for international businesses which emphasis nationalistic sentiments, pride and the rejection of any product or idea that is made in another country without any rationale reasoning. Thus, this study is aimed at researching the subject of consumer ethnocentrism in the Central Asian Turkish Republic of Kazakhstan. The results indicate that there is not a strong relation between ethnocentric perceptions and product necessity in Kazakhstan. Also, sub-dimensions of ethnocentrism have different correlation levels with each imported products. In addition, religious and moral values are not effective factors in explaining the variation in imported products.
Citation - WoS: 11
Citation - Scopus: 12
Energy Consumption and Growth: New Evidence From a Non-Linear Panel and a Sample of Developing Countries
(World Scientific Publ Co Pte Ltd, 2015) Apergis, Nicholas; Ozcelebi, Hulya; Omay, Tolga
This paper investigates the relationship between economic growth and energy consumption through non-linear causality tests. Eight developing countries from Europe and Central Asia spanning the period 1993 to 2008 are selected for the purpose of panel empirical analysis. Panel unit root and panel cointegration tests with and without considering cross section dependency (CD) problems are implemented. Next, linear panel cointegration tests are employed and, finally, a two-regime Dynamic Panel Smooth Transition Vector Error Correction (PSTRVEC) model is estimated for testing the presence of non-linear short-and long-run causality. To this end, a new estimator, called the Dynamic Non-linear Pooled Common Correlated Effect Estimator (DNPCCEE) is proposed. The empirical findings indicate that short and long-run causalities are regime-dependent.
Citation - WoS: 3
Citation - Scopus: 5
Et ve Balık Eti Hanehalkı Talebinin Mevsimselliği: Bir Kentsel Alan Örneği
(Tubitak Scientific & Technological Research Council Turkey, 2005) Klasra, Mushtaq Ahmad; Fidan, Halil
Bu çalışma, Almost Ideal Demand System (AIDS)'i kullanarak, farklı mevsimlerde et ve balık için hane halkı talebine etkili faktörlerin tahmininde çıkarımlarda bulunmaktadır. Anket verileri kullanılarak, bütçe payı, talebin fiyat elastikiyeti, çapraz elastikiyet ve balık ve et için harcamalar, eşitlikler sistemi ile tahmin edilmiştir. Özellikle, Kurban Bayramı dönemlerinde bütçe paylarında artış olması durumu et ve balık tüketiminin mevsimsel etkisini inceleyen bu çalışmanın temel sonucu olmuştur. Bunun ötesinde, kentsel alanda yaşayan insanlar, hamsi hariç, fiyat artışlarına karşı duyarlı oldukları bulunamamıştır. Bu çalışma, politika yapıcıları, üreticiler ve pazarlama uzmanlarının izleyecekleri politikalarda etkili kaynak kullanımlarının düzenlenmesine, bu sonuçların onlara yardımcı olabilmesi bakımından önemlidir.
Firm Survival in Times of Crisis: Do Innovation and Financing Constraints Matter? Insights from the COVID-19 Pandemic
(2023) Özşuca, Ekin Ayşe
Utilizing survey data collected over three rounds, this paper investigates the impact of pre-COVID innovation performance, innovation type, sources of knowledge, and the moderating role of financial constraints on survival following the outbreak of COVID-19. The findings pinpoint a strong and positive link between firm survival and innovation, especially process innovation, confirming the ability of innovators to adapt to new conditions as a determinant of survival. Moreover, relying on internal knowledge is found to increase the chance of survival and adaptability to times of crisis. The results further indicate that access to finance strengthens the positive impact of innovation on firm survival/adaptation.
Citation - WoS: 13
Citation - Scopus: 22
Gender Gap in Financial Inclusion: Evidence From Mena
(Univ Oviedo, 2019) Ozsuca, Ekin Ayse
This study aims to analyze the gender dimension of financial inclusion in MENA countries. Using the World Bank's 2017 Global Findex Database, it explores the underlying factors of gender differences in formal financial services usage via Fairlie decomposition method. The findings of the study indicate that a significant portion of the disparity in financial inclusion is attributable to employment, while age and tertiary education are also found as contributing factors to the financial inclusion gap. Another notable finding is that upper income quintiles contribute positively to the gender gap, indeed to a greater extent compared to lower income groups.
How Globalization Affects The Operational Efficiency of Emerging Market Firms?: A Comparative Analysis On Turkish SMEs
(Univ Oviedo, 2018) Akdoğan, Ece Ceylan
This paper examines the impact of globalization on the operational efficiency of emerging market firms by concentrating on the financial outcomes of a firm's main operations through focusing on operating income and cash conversion cycle as well as on their possible causes in an emerging market, Turkey. The findings indicate that globalization significantly deteriorates the operating income and lengthens the cash conversion cycle of Turkish firms. Besides, globalization is found to increase sales of SMEs and decrease sales of large companies significantly and the impact on operating income of large companies is observed to be stronger. Globalization is also found to lead a softening in Turkish firm's terms of sales and enable Turkish SMEs to benefit from better terms of purchase.
Citation - WoS: 2
Citation - Scopus: 3
How Globalization Affects the Operational Efficiency of Emerging Market Firms?: a Comparative Analysis on Turkish Smes
(Univ Oviedo, 2018) Akdogan, Ece Ceylan
This paper examines the impact of globalization on the operational efficiency of emerging market firms by concentrating on the financial outcomes of a firm's main operations through focusing on operating income and cash conversion cycle as well as on their possible causes in an emerging market, Turkey. The findings indicate that globalization significantly deteriorates the operating income and lengthens the cash conversion cycle of Turkish firms. Besides, globalization is found to increase sales of SMEs and decrease sales of large companies significantly and the impact on operating income of large companies is observed to be stronger. Globalization is also found to lead a softening in Turkish firm's terms of sales and enable Turkish SMEs to benefit from better terms of purchase.
Citation - WoS: 4
Citation - Scopus: 4
Inference in Multivariate Linear Regression Models With Elliptically Distributed Errors
(Taylor & Francis Ltd, 2014) Yazici, Mehmet; Islam, M. Qamarul; Yildirim, Fetih
In this study we investigate the problem of estimation and testing of hypotheses in multivariate linear regression models when the errors involved are assumed to be non-normally distributed. We consider the class of heavy-tailed distributions for this purpose. Although our method is applicable for any distribution in this class, we take the multivariate t-distribution for illustration. This distribution has applications in many fields of applied research such as Economics, Business, and Finance. For estimation purpose, we use the modified maximum likelihood method in order to get the so-called modified maximum likelihood estimates that are obtained in a closed form. We show that these estimates are substantially more efficient than least-square estimates. They are also found to be robust to reasonable deviations from the assumed distribution and also many data anomalies such as the presence of outliers in the sample, etc. We further provide test statistics for testing the relevant hypothesis regarding the regression coefficients.
Citation - WoS: 10
Is the J-Curve Effect Observable in Turkish Agricultural Sector
(Univ Zagreb, Fac Agriculture, 2006) Yazici, Mehmet; Yazıcı, Mehmet; İktisat
This paper investigates whether or not the J-curve hypothesis holds in Turkish agricultural sector. The analysis is conducted using the model the most commonly employed in j-curve literature. Based on the data covering the period from 1986: I to 1998: III, our results indicate that, following devaluation, agricultural trade balance initially improves, then worsens, and then improves again. This pattern shows that J-curve effect does not exist in Turkish agricultural sector. Another important finding is that devaluation worsens the trade balance of the sector in the long run, a result contradicting with the earlier findings for the Turkish economy as a whole.
Citation - WoS: 3
Citation - Scopus: 5
Mahalanobis Distance Under Non-Normality
(Taylor & Francis Ltd, 2010) Tiku, Moti L.; Islam, M. Qamarul; Qumsiyeh, Sahar B.
We give a novel estimator of Mahalanobis distance D2 between two non-normal populations. We show that it is enormously more efficient and robust than the traditional estimator based on least squares estimators. We give a test statistic for testing that D2=0 and study its power and robustness properties.
Citation - WoS: 11
Citation - Scopus: 10
Managing Working Capital Efficiency in Turkish Agribusinesses and the Impact of Globalization: Insights From an Emerging Market
(Wageningen Academic Publishers, 2019) Dinc, Dilek Temiz; Akdogan, Ece C.
The efficiency of working capital is a major determinant of firm profitability. So, the grasp of working capital dynamics is extremely important for managers, but also for policy makers, since inefficient working capital management is an important source of industrial sickness. This study focuses on the profitability impacts of working capital policies of Turkish agribusinesses, and aims to investigate the potential effects of globalization on these interrelated relationships. The findings obtained from pooled panel analyses demonstrate that Turkish agribusinesses can enhance their profitability and value by adopting a conservative working capital policy through lengthening the cash conversion cycle up to an optimal level. Besides, globalization is found to deteriorate their efficiency and profitability where economic globalization seems to have the highest impact raising questions on the effectiveness of Turkish agribusinesses in coping with competition. Thus, both the managers and the policy makers should concern with the competitiveness impacts of globalization.
Citation - WoS: 62
Citation - Scopus: 64
Multiple Linear Regression Model Under Nonnormality
(Taylor & Francis inc, 2004) Islam, MQ; Tiku, ML
We consider multiple linear regression models under nonnormality. We derive modified maximum likelihood estimators (MMLEs) of the parameters and show that they are efficient and robust. We show that the least squares esimators are considerably less efficient. We compare the efficiencies of the MMLEs and the M estimators for symmetric distributions and show that, for plausible alternatives to an assumed distribution, the former are more efficient. We provide real-life examples.
Multiple linear regression model under nonnormality
(2004) Islam, M. Qamarul; Tiku, Moti L.
We consider multiple linear regression models under nonnormality. We derive modified maximum likelihood estimators (MMLEs) of the parameters and show that they are efficient and robust. We show that the least squares esimators are considerably less efficient. We compare the efficiencies of the MMLEs and the M estimators for symmetric distributions and show that, for plausible alternatives to an assumed distribution, the former are more efficient. We provide real-life examples.
Citation - WoS: 13
Citation - Scopus: 13
Multiple Linear Regression Model With Stochastic Design Variables
(Taylor & Francis Ltd, 2010) Islam, M. Qamarul; Tiku, Moti L.
In a simple multiple linear regression model, the design variables have traditionally been assumed to be non-stochastic. In numerous real-life situations, however, they are stochastic and non-normal. Estimators of parameters applicable to such situations are developed. It is shown that these estimators are efficient and robust. A real-life example is given.
Citation - WoS: 1
Citation - Scopus: 2
A New Causal Discovery Heuristic
(Springer, 2018) Tarim, S. A.; Ozkan, I.; Prestwich, S. D.
Probabilistic methods for causal discovery are based on the detection of patterns of correlation between variables. They are based on statistical theory and have revolutionised the study of causality. However, when correlation itself is unreliable, so are probabilistic methods: unusual data can lead to spurious causal links, while nonmonotonic functional relationships between variables can prevent the detection of causal links. We describe a new heuristic method for inferring causality between two continuous variables, based on randomness and unimodality tests and making few assumptions about the data. We evaluate the method against probabilistic and additive noise algorithms on real and artificial datasets, and show that it performs competitively.

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