The objective of this research is to determine the financial performance of Turkish cement firms using quarterly data from the period between 1997 and 2022 through the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). The research takes into account company mergers that occurred in 2020 and analyzes two distinct periods: from 1997 to 2020, and post-2020. Fourteen companies were examined in the first period, while ten companies were assessed in the latter period. To measure financial performance, ten common financial ratios selected based on literature were utilized. Determining the importance of these financial ratios is a crucial step in multi-criteria decision-making techniques; hence, the entropy method was employed to address this issue. According to empirical results, before the company mergers, UNYE and MARDIN cement firms were observed to consistently perform well financially, often ranking at the top based on the financial parameters considered. However, after the merger, it has been noted that BUCIM consistently held the top position in every quarter.

Bu çalışmanın amacı BIST Turizm endeksi, USD/TL, faiz oranı ve petrol fiyatları arasındaki karşılıklı ilişkiyi araştırmaktır. Çalışmada Ocak2008-Aralık 2020 dönemi aylık verileri kullanılmıştır. BIST Turizm endeksinin döviz kuru, faiz oranı ve petrol fiyatlarında meydana gelebilecek bir artışa tepkisini değerlendirmek için Vektör Otoregresif Modeller (VAR) modeline dayalı etki-tepki fonksiyonlarından yararlanılmıştır. Ayrıca değişkenler arasında herhangi bir nedensellik ilişkisinin olup olmadığını tespit edebilmek için VAR Granger nedensellik testi uygulanmıştır. Etki-tepki fonksiyonlarına göre Turizm endeksinin dolar şokuna pozitif tepki verdiği tespit edilmiştir. Faiz oranının ise BIST Turizm endeksi üzerindeki etkisinin 4. döneme kadar zayıf formda negatif olduğu saptanmıştır. Petrol fiyatlarının ise BIST Turizm endeksi üzerindeki etkisinin zayıf formda pozitif yönde olduğu belirlenmiştir. Çalışmadan elde edilen sonuçlar turizm endeksini etkileyebilecek makroekonomik faktörleri ele alarak incelenmesi ve etkilerinin belirlenmesi açısından önemlidir.

This paper contributes to the literature through a focus on the case of China and an investigation into the effects that CPU, EPU, and EUI variables have upon SDG 13 and SDG 7 through using ARDL and NARDL models along with the Dynamic Multipliers Effect Test. The analysis period includes annual data from 2003 to 2022. In the case of this study, from the literature review, some readily available studies measured the impact of China’s CPU, EPU, and EUI on the SDGs. It has also been observed that the degree of investigation on the effects of CPU on SDG 13 and SDG 7 has been shallow. Based on the results, the constructed SDG 7 and SDG 13 ARDL and NARDL models strongly validate the cointegration relationships among the taken variables. The test of symmetric effects on CPU in SDG13 from the results of the NARDL shows that the coefficients for LCPUpoz andLCPUneg are positive, which means the effects of positive shocks are more dominant. Additionally, to ensure model robustness, three parametric methods—Fully Modified Ordinary Least Squares (FMOLS), Dynamic Ordinary Least Squares (DOLS), and Canonical Cointegration Regression (CCR) are utilized. According to results, CPU, EPU and EUI have a substantial impact on the SDG7 and SDG13 indices.

This paper explores the correlation between the Financial Development Index (FDI) and the Geopolitical Risk Index (GPR) in relation to Sustainable Development Goals (SDGs) within the E3 countries: Germany, France, and the United Kingdom. With limited research available on the interaction between these indices and the SDGs, this study aims to bridge that gap by focusing on SDG 13 (Climate Action) and SDG 7 (Affordable and Clean Energy). Using data spanning from 2000 to 2021, the analysis employs ARDL and Dynamic Conditional Correlation (DCC) models to assess the impact of geopolitical risks and financial development on these sustainability targets. Findings reveal that in Germany, there are significant long-term relationships between FDI and both SDG 13 and SDG 7, with geopolitical risks negatively impacting both goals. Economic growth was observed to have a stronger influence on SDG 13. In France, FDI positively affected SDG 13 but had no statistically significant impact on SDG 7. Geopolitical risks had adverse effects on both goals, while economic growth?s impact on SDG 7 was found to be insignificant. In the UK, no significant long-term relationships were identified; however, short-term analysis highlighted notable effects of FDI and geopolitical risks on SDG 7. The DCC analysis revealed that the relationship between SDG 13 and SDG 7 was relatively strong around 2000 but weakened over time.

As two pillars of the green transition, clean energy and tourism have gained growing strategic prominence in the landscape of sustainable finance, warranting a deeper investigation into their financial interdependencies. However, empirical research exploring their interaction in financial markets, particularly from a regional perspective, remains relatively limited. This study contributes to that objective by examining the predictive relationships between the WILDERHILL Clean Energy Index and tourism indices from the United States, Europe, China, and Australia. Using monthly data from 2010 to 2023, the analysis applies quantile Granger causality and wavelet coherence methods to capture asymmetric and time-varying dynamics. Additionally, a structural VAR model is used to assess region-specific responses to clean energy shocks. While conventional Granger tests do not indicate significant linkages, quantile-based approaches uncover heterogeneous connections that emerge under extreme market conditions. The findings reveal increasing co-movement between clean energy and tourism sectors and emphasize the importance of distribution-sensitive and regionally contextualized approaches in guiding investment and policy-making strategies.

Bu çalışma, Türkiye’de faaliyet gösteren ve Borsa İstanbul (BİST)’da pay senetleri işlem gören çimento şirketinin firmalarının, faaliyet ve nakit döngüsünün firma ve sektör bazında etkilerini belirleyerek, bu etkilerin hem firma hem sektör bağlamında finansal performansı nasıl şekillendirdiğini ölçmeyi amaçlamaktadır. Çalışmada on dört çimento şirketinin firma ve sektör bazında faaliyet ve nakit döngüleri hesaplanmış ve her iki döngünün belirlenen performans kalemleri üzerine etkileri panel veri analizi yöntemiyle incelenmiştir. Analiz, 1997-2018 yıllarının üçer aylık periyodlarını kapsamaktadır. Analizden elde edilen sonuçlara göre işletme döngüsünü duran varlıklar ve finansal giderler etkilemektedir. Buna ek olarak, ilgili dönemde, ortalama stok ve ortalama ödeme süreleri finansal giderler üzerinde anlamlı bir etkiye sahiptir.