Çankaya GCRIS Standart veritabanının içerik oluşturulması ve kurulumu Research Ecosystems (https://www.researchecosystems.com) tarafından devam etmektedir. Bu süreçte gördüğünüz verilerde eksikler olabilir.
 

Özkan, İbrahim

Profile Picture
Name Variants
Job Title
Prof. Dr.
Email Address
iozkan@cankaya.edu.tr
Main Affiliation
Yönetim Bilişim Sistemleri
Status
Current Staff
Website
akademik.cankaya.edu.tr/~iozkan/index.html
ORCID ID
0000-0002-1092-8123
Scopus Author ID
23482661200
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID
I-8714-2013
Files
02067.jpeg (458.75 KB)

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Scholarly Output

2

Articles

4

Citation Count

5

Supervised Theses

0

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2018 - 201912020 - 20241
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    Article
    Citation - WoS: 2
    Citation - Scopus: 3
    Economic sentiment and foreign portfolio flows: Evidence from Türkiye
    (Central Bank Republic Turkey, 2024) Gunes, Didem; Özkan, İbrahim; Ozkan, Ibrahim; Erden, Lutfi; 169580; Yönetim Bilişim Sistemleri
    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.
  • Thumbnail Image
    Article
    Citation - WoS: 1
    Citation - Scopus: 2
    A new causal discovery heuristic
    (Springer, 2018) Prestwich, S. D.; Özkan, İbrahim; Tarim, S. A.; Ozkan, I.; 6641; 169580; Yönetim Bilişim Sistemleri
    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.