4 sonuçlar
Arama Sonuçları
Listeleniyor 1 - 4 / 4
Yayın Inequality of income distribution: a comparative analysis for developed and developing economies(IJOPEC, 2024-11) Teker, Suat; Teker, Dilek; Güzelsoy, Halit; Şimşek, Sidar Atalay; Puwanendram, Gayathri; Şiriner, İsmailThis study examines the changes in income distribution across selected countries from 2015 to 2022, with a focus on the significant impact of the Covid-19 pandemic (2020-2021) on global income distribution. The data used in this analysis was sourced from the World Inequality Database, specifically looking at household income adjusted for after-tax earnings. Each household's income was allocated among adults aged 20 and older. The data were organized into ten income groups, creating ten distinct income levels for comparison. The study includes ten countries comprising five developed countries, namely; France, Germany, Netherlands, Italy, and the United Kingdom and five developing countries, namely; Czechia, Hungary, Romania, Greece and Turkiye. The analysis spans the eight-year period from 2015 to 2022. All countries implemented various social programs to support those people most affected by the Covid-19 pandemic. Developed countries generally succeeded in protecting and restoring their pre-pandemic income distribution. In contrast, developing countries faced challenges with their social programs. Although the developing countries were successful in increasing their overall national income, they struggled to restore their pre-pandemic income distribution. An income transfer occurred from the bottom 20% and the middle 60% to the top 20% in these developing nations. By 2022, the average income per capita for the bottom 10% in developing countries was $9,500 while the top 10% was $141,000 resulting in a 14.8-fold difference. In developed countries, these figures were $25,700 for the bottom 10% and $160,400 for the top 10%, yielding a 6.2-fold difference.Yayın Development of e-commerce in Turkiye: post COVID-19 era(IJOPEC, 2024-11) Teker, Suat; Teker, Dilek; Orman, Irmak; Şimşek, Sidar Atalay; Puwanendram, Gayathri; Şiriner, İsmailThe COVID-19 pandemic catalyzed a significant transformation in consumer behavior, accelerating the adoption of e-commerce worldwide. This study focuses on the development and growth of e-commerce in Türkiye during the post-COVID-19 era, examining the sector's expansion from 2020 onwards. Key factors contributing to this growth include increased internet and smartphone penetration, advancements in digital payment systems, and heightened consumer reliance on online shopping duringlockdowns. The analysis highlights how these shifts have not only enhanced domestic retail e-commerce but also positioned Türkiye as a rapidly growing e-commerce market globally, with a projected compound annual growth rate of 11.6% between 2024 and 2029. Additionally, the article explores opportunities for Turkish businesses to leverage cross-border e-commerce for international market expansion, emphasizing the strategic role of digitalization, logistics improvements, and government incentives. By presenting key data and trends, the study underscores Türkiye’s potential to strengthen its presence in global trade through e-commerce, driving economic growth and fostering innovation in its digital economy.Yayın Performance of airlines: a comparative analysis for the COVID-19 era(IGI Global, 2022-04) Teker, Dilek; Teker, Suat; Kurnaz, Salim; Argın, EmrahThis chapter investigates the financial performance of airline companies and proposes a harmonic index to state a performance ranking for the COVID-19 era covering the years 2018, 2019, and 2020. All data required for this study were obtained from the Thomson-Reuters database. A total number of 111 airlines are reached and listed by total assets. The 20 biggest airlines by total assets in 2020 are chosen for this study. A harmonic index is constructed by using performance indicators for profitability, liquidity, and efficiency. Then, the biggest 20 airlines are ranked by the harmonic index values for the COVID-19 era. The results revealed that North America and European-based airlines performed very badly in 2020 compared to pre-COVID years while Far East-based airlines were able to manage the pandemic year much better.Yayın Volatility spillovers and structural breaks across traditional and digital assets: an econometric investigation (2020–2025)(Springer Nature, 2026-04) Özyeşil, Mustafa; Teker, Dilek; Teker, Suat; Tembelo, HavaneThe need to comprehend the linkages of volatility is more pronounced now owing to the rise of different asset classes, both traditional and digital. In this light, this study focuses on examining the volatility spillovers and structural breaks of four selected key financial instruments: S&P 500 Index, NASDAQ Composite Index, Gold Futures, and Bitcoin. Specifically, this research is designed to investigate how volatility is evolving and transmitting in the presence of economic shocks using a high-frequency dataset for the period January 2020 to May 2025. To capture the dynamic dependencies and regime shifts, sophisticated econometric methods such as GARCH models, the Diebold–Yilmaz spillover index, wavelet coherence, and structural break tests were applied. The results exhibit that Bitcoin is characterized by greater conditional volatility relative to traditional assets. In addition, there is strong volatility clustering across all series. Furthermore, strong volatility spillovers, especially from equities to crypto assets, were identified, and several structural breaks align with important macro-financial milestones such as the COVID-19 crisis and inflationary shocks. It’s shown that the interlinkages among financial markets appear to be on the rise, with asset class volatility increasingly transmitted across them freely. The traits exhibited by digital assets such as Bitcoin differ significantly from those of traditional financial instruments, highlighting the need for more sophisticated risk management strategies. This research fills the gap in the literature cross-market volatility with a time-domain, frequency-domain, and structural change approach. These findings are timely for digital finance in relation to portfolio diversification, strategic asset allocation, and instep with new policies on digital assets.
