Ibovespa's Response to the Behavior of Oil and Ore Prices During the International Crisis Caused by COVID-19

El riesgo sistémico causado por el COVID-19 afectó a todos los sectores de la economía y con ello se denotó la vulnerabilidad de algunos sectores en comparación con otros. En este contexto, llamó la atención el choque de oferta experimentado por el sector minero, que, en consecuencia, se tradujo en una alta apreciación de los precios. Vinculado a esto, y con efectos negativos, se produjo en este periodo la devaluación de los precios del petróleo, explicada, entre otros factores, por la guerra de precios entre los países productores. En este sentido, el presente estudio analiza la volatilidad del indicador bursátil brasileño considerando los precios de los productos antes mencionados y la cotización del dólar. Los resultados muestran la importancia de la formación de precios de estos mercados en la variación del indicador de la Bolsa de Brasil, y la apreciación de los precios del petróleo y el mineral Brent cotizados en el mercado de minerales básicos de Dalian (China) deriva en que el indicador Ibovespa vaya en la misma dirección. Además, en términos estadísticos, el estudio destaca la gran importancia del precio de la moneda extranjera como determinante en la variación del indicador de Ibovespa y, consecuentemente, con efectos en la intención de inversión.Alternate :The systemic risk caused by COVID-19 affected all sectors of the economy, thus showing the vulnerability of some sectors in comparison to others. In this context, the supply shock experienced by the iron ore sector has drawn attention and resulted in a price increase. Linked to this, and in a negative way, oil prices fell due, among other factors, to the price war between producing countries. In this sense, this study analyses the volatility of the Brazilian stock market indicator in relation to the prices of the aforementioned products and the price of the dollar. The results show the importance of the price formation in these markets for the variation of the indicator. The appreciation of Brent oil and iron ore prices on the Dalian Commodity Exchange (DCE), in China, caused the Ibovespa indicator to move in the same direction. In addition, in statistical terms, the study highlights the great importance of the exchange rate as a determinant in the variation of the indicator and, consequently, affecting the intention to invest.

Analyze the Effects of COVID-19 on Energy Storage Systems: A Techno-Economic Approach

During the COVID-19 pandemic, the U.S. power sector witnessed remarkable electricity demand changes in many geographical regions. These changes were evident in population-dense cities. This paper incorporates a techno-economic analysis of energy storage systems (ESSs) to investigate the pandemic's influence on ESS development. In particular, we employ a linear program-based revenue maximization model to capture the revenues of ESS from participating in the electricity market, by performing arbitrage on the energy trading, and regulation market, by providing regulation services to stabilize the grid's frequency. We consider five dominant energy storage technologies in the U.S., namely, Lithium-ion, Advanced Lead Acid, Flywheel, Vanadium Redox Flow, and Lithium-Iron Phosphate storage technologies. Extensive numerical results conducted on the case of New York City (NYC) allow us to highlight the negative impact that COVID-19 had on the NYC power sector. © 2023 IEEE.

Development of a colorimetric assay for quantification of favipiravir in human serum using ferrihydrite

We developed a colorimetric analytical method for favipiravir (FPV), a promising treatment for COVID-19. FPV forms yellow complexes with ferrihydrite (Fh) by a ligand substitution reaction with the iron (III) hydroxyl surface groups in Fh. Fh-coated microbeads were packed into a capillary tube with an inner diameter of 1 mm. FPV-spiked serum after pretreatment was drawn into the capillary packed with Fh-coated microbeads. The intensities of the yellow-color complexes on the microbeads were transformed into red-green-blue (RGB) pixels using Image-J software 1.8, and the difference between green and blue was used as the analytical signal. The signal increased with increasing FPV concentration. The proposed method showed good linearity (R2 = 0.9907) over a concentration range of 25–200 μg/mL. The RSD (n = 3) and the LOD (3σ) values were estimated to be 2.8–15.4% and 16.91 μg/mL, respectively. The proposed method enables us to quantify FPV rapidly and easily without the need for expensive equipment. © 2022 Elsevier B.V.

Kuru Dökme Yük Taşımacılığı Piyasasının Geleceğine Dair Öngörüler *

Bu çalışmanın amacı Baltık Kuru Yük Endeksi (BDI) ile demir cevheri emtia fiyatı ve ikinci el gemi pazarındaki kuru yük gemisi fiyatlarıyla olan nedensellik ilişkilerinin incelenmesidir. Araştırmada ele alınan parametreler arasındaki baǧlantıları incelemek için Toda-Yamamoto nedensellik analizinden faydalanılmıştır. Elde edilen sonuçlara göre, emtia fiyatlarını temsil eden demir cevheri fiyatının, hem navlun hem de ikinci el gemi satış fiyatları üzerinde istatistiksel olarak anlamlı ve tek yönlü bir nedensellik ilişkisinin var olduǧu görülmektedir. Öte yandan, navlun ücretlerinin ikinci el gemi satış fiyatlarının üzerinde tek yönlü bir şekilde etkilediǧi anlaşılmaktadır. Bu sonuçlar denizyolu yük taşımacılıǧı piyasasının karakteristiǧini tam olarak yansıtmakla beraber, önceki yapılmış bazı çalışmalarda ilgili parametreler arasında çift yönlü nedensellik ilişkileri tespit edildiǧinden onlardan kısmen farklılaşmaktadır. Bu farklılık veri serilerinin temsil etmiş olduǧu zaman dilimlerinin bir birlerinden farklı olmasından kaynaklanıyor olabilir. Bundan dolayı ileride daha farklı araştırma tasarımları geliştirilerek ve uygulanarak bu konunun detaylı bir şekilde incelenmesine devam edilmesine ihtiyaç olduǧu düşünülmektedir.Alternate :The purpose of this study is to shed light on the future of the overseas freight market, based on the dry bulk freight market data reported by the Baltic Dry Cargo Index (BDI). In this context, causality relationships between iron ore, a commodity that affect demand for dry bulk cargo freight, and the dry cargo ship selling prices on the used ship market were examined. The Toda-Yamamoto causality analysis was used to investigate the links between the research parameters. According to the results, the iron ore price, which represents commodity pricing, has a statistically significant one-way causal relation on both freight and second-hand ship selling prices. Meanwhile, freight charges have a one-way effect on the secondhand ship selling prices. Although it is believed that these findings adequately reflect the characteristics of the overseas freight transport sector, this study partially differed from earlier studies that have discovered bidirectional causality relationships. These differences could be attributed to the varied periods during which the data sets were obtained. In the future, it is thought that there is a need to continue investigating this subject by developing and implementing various research designs.