David Jukl | Economics | Top Researcher Award

Mr. David Jukl | Economics | Top Researcher Award

University of Finance and Administration | Czech Republic

Mr. David Jukl is an investment strategist and PhD researcher in Finance at University of Finance and Administration, specializing in algorithmic trading, FX markets, and quantitative finance. With over 18 years of industry experience, he integrates data-driven investment strategies with automated trading systems. His scholarly contributions include publications on feature selection in FX trading, mean-reversion strategies, and systematic reviews of algorithmic trading, with collaborations alongside Jan Lansky. Jukl’s work bridges academia and practice, advancing financial analytics and improving investment decision-making in global capital markets through robust, evidence-based methodologies.

Citation Metrics (ORCID)

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🟦 Citations 🟥 Documents

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Featured Publications

Demet Özocaklı | Economics | Research Excellence Award

Assist. Prof. Dr. Demet Özocaklı | Economics | Research Excellence Award

Gaziantep Üniversitesi | Turkey

Assist. Prof. Dr. Demet Özocaklı is an Assistant Professor at Gaziantep University, specializing in macroeconomics, labor economics, and sustainable development. Her research addresses critical issues such as female and youth employment, food security, financial crises, and the AI–energy–growth nexus, utilizing advanced econometric methods including VECM, ARDL, PCA, and FMOLS. She has produced over 2scholarly publications with 9citations, contributing to internationally recognized journals. Özocaklı collaborates with leading researchers such as İbrahim Halil Ekşi and William Ginn. Her work provides policy-relevant insights that support economic resilience, inclusive growth, and sustainable development at both national and global levels.

Citation Metrics (Scopus)

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Featured Publications

Effect of grain corridor agreement on grain prices.

International Economic Journal. (2024). Cited By: 18 

Türkiye’de kadın istihdamının bazı belirleyicileri: FMOLS yöntemi ile bir analiz.

Avrasya Sosyal ve Ekonomi Araştırmaları Dergisi. (2023). Cited By: 7