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The object of the research is the Core Inflation Forecasting. The paper investigates the performance of the novel model routine in the exercise of the Core Inflation Forecasting. It aggregates 300+ components into 6 by the similarity of their dynamics using an updated DTW algorithm fine-tuned for monthly time series and the K-Means algorithm for grouping. Then the SARIMA model extracts linear and seasonal components, which is followed by an LSTM model that captures non-linearities and interdependencies. It solves the problem of high-quality inflation forecasting using a disaggregated dataset. While standard and traditional econometric techniques are focused on the limited sets of data that consists just a couple of variables, proposed methodology is able to capture richer part of the volatility comprising more information. The model is compared with a huge pool of other models, simple ones like Random Walk and SARIMA, to ML models like XGBoost, Random Forest and simple LSTM. While all Data Science model shows decent performance, the DTW+K-Means+SARIMA+LSTM routine gives the best RMSE over 1-month ahead and 2-month ahead forecasts, which proves the high quality of the proposed forecasting model and solves the key problem of the paper. It is explained by the model’s capability to capture both linear/seasonal patterns from the data using SARIMA part as long as it non-linear and interdependent using LSTM approach. Models are fitted for the case of Ukraine as long as they’ve been estimated on the corresponding data and may be actively used for further inflation forecasting. [ABSTRACT FROM AUTHOR]

Today, more than ever, our world is facing supply chain constraints that threaten the basics of current market dynamic on all levels and in every economic field. From economic sanctions limiting commercial trade, the COVID-19 crisis, post-pandemic economic stagnation, the ongoing conflict in the Ukraine, the global chip shortage, as well as the effects of the current Israeli- Palestinian war and its impact on freight transportation in the Red Sea have all exposed the vulnerability of today's global supply chains. The purpose of this paper is to review how supply chain must be designed to ensure their flow and deliverables in complex, uncertain, and everchanging environment. The paper will study how supply chains must be resilient by addressing current challenges through agility to meet both socio-economic and political volatilities, and sustainable through their transition to socio-ecological compliant economies. [ABSTRACT FROM AUTHOR]

Copyright of Studies in Law & Economics / Studia Prawno-Ekonomiczne is the property of Lodz Scientific Society / Lodzkie Towarzystwo Naukowe and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This paper analyzes memes posted by @Ukraine to X, formerly known as Twitter, from the account's inception in 2016 through September 2023 to examine the function and utility of memes as tools of propaganda in global conflict. A multimodal discourse analysis of more than 100 memes was conducted by a small research group to separate the memes into thematic categories in an exploratory fashion. Then, a small subset of the research group conducted a recursive analysis on the images and text in a handful of memes selected purposively to determine what types of ideological appeals were present. Our findings align with observations made in previous studies that internet memes might be used to bolster national unity and might be employed to bolster pleas for sympathy from wealthy, more powerful allies, in this case in the West. The essential propaganda ideals were those of democracy, friendship, and independence on the side of Ukraine while Russia is framed as a dictatorship. A small number of the memes referenced in our paper garnered global media attention. Though we do not make any claims about broad media effects relating to the memes studied here, garnering the attention of major U.S. publication seems clearly to have been a goal of some of these memes. For those who wish to find a key to the playbook for a nation's propaganda strategy, its social media memes are a great place to begin. It is apparent in this study that governments might use memes to cover all their propaganda bases, so to speak. Ukraine's memes appear to serve mainly to reinforce messages of national unity and messages of connection with the West. Though others have studied @Ukraine's tweets, this is believed to be the first to focus exclusively on memes posted to the feed. This study makes a significant contribution to our understanding of how wildly varied memes can communicate core concepts of a propaganda strategy, perhaps with the hope that a few will "hit" with desired media outlets, if only to bolster propaganda efforts. [ABSTRACT FROM AUTHOR]

This study builds on the recent literature by investigating how various types of African stock markets responded to the Russia-Ukraine crisis (commonly referred to as the black-swan event). The empirical analysis used in this paper centred on event study analysis, a statistical technique used to measure the impact of a specific event. The findings show that the black-swan event had a significant negative impact on African stock markets (14/20), with stocks having a negative abnormal return on the event day, and out of this, nine stocks' abnormal returns are statistically significant. These include Safaricom Kenya, Commercial International Bank, Attijariwafa Bank, Morocco Casablanca Index, Egyptian Exchange 30, Nairobi All Share Index, AVI Equity, MCB Group Ltd, FTSE/JSE All Share, Delta Corp. Ltd, Stock Exchange of Mauritius, Tunisia Stock Exchange, Tanzania All Share Index, and Banque de Tunisie. Furthermore, the study discovers that African stock markets reacted heterogeneously to the impact of the crises, while some stocks were severely affected, some were minimally affected. The study concludes that African stock markets should build a resilient market capable of withstanding external shock and reducing the risk of contagion. [ABSTRACT FROM AUTHOR]

Purpose: This paper aims to examine the dynamic conditional correlation (DCC) and hedging ratios between Dow Jones markets and oil, gold and bitcoin. Using daily data, including the COVID-19 pandemic and the Russia–Ukraine war. We employ the DCC-generalized autoregressive conditional heteroskedasticity (GARCH) and asymmetric DCC (ADCC)-GARCH models. Design/methodology/approach: DCC-GARCH and ADCC-GARCH models. Findings: The most of DCCs among market pairs are positive during COVID-19 period, implying the existence of volatility spillovers (Contagion-effects). This implies the lack of additional economic gains of diversification. So, COVID-19 represents a systematic risk that resists diversification. However, during the Russia–Ukraine war the DCCs are negative for most pairs that include Oil and Gold, implying investors may benefit from portfolio-diversification. Our hedging analysis carries significant implications for investors seeking higher returns while hedging their Dow Jones portfolios: keeping their portfolios unhedged is better than hedging them. This is because Islamic stocks have the ability to mitigate risks. Originality/value: Our paper may make a valuable contribution to the existing literature by examining the hedging of financial assets, including both conventional and Islamic assets, during periods of stability and crisis, such as the COVID-19 pandemic and the Russia–Ukraine war. [ABSTRACT FROM AUTHOR]

Copyright of Studia Ecologiae et Bioethicae is the property of Uniwerystet Kardynala Stefana Wyznskiege w Warzawie and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Urban Studies (Sage Publications, Ltd.) is the property of Sage Publications, Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The global energy crisis, which began in 2021 due to the extraordinary economic recovery after the pandemic and intensified after Russia's invasion of Ukraine in February 2022, has changed the conditions of energy management, paying more attention to energy efficiency. Natural gas prices have reached record levels and, consequently, so have electricity prices in some markets. Oil prices have reached their highest level since 2008. Higher energy prices have contributed to sharply increased inflation. Households are again becoming interested in buying coal as a source of heat. High energy and gas prices have pushed many families into poverty and forced some factories to cut production or even close. They have also slowed economic growth to the point where some countries are heading for a serious recession. Paradoxically, the negative effects of the energy crisis may accelerate the introduction of cleaner, sustainable, renewable energy such as wind and solar energy. The energy crisis is comparable to the oil crisis of the 1970s, when it contributed to significant advances in energy efficiency. The current crisis has highlighted the importance of investments in renewable energy resources and initiated the process of integrating regional markets, developing energy efficiency and promoting renewable energies. The aim of this article is to comprehensively explore the complex relationship between energy awareness, consumption patterns, and energy efficiency, with a focus on both individual consumers and industries, during the global energy crisis. This paper is based on a literature review, overarching policy documents, energy reports, and other secondary documents. The primary research method was the systematic literature review method, based on which the impact of the global energy crisis on energy efficiency was evaluated. This study emphasizes the diverse influences on energy awareness, ranging from economic factors to consumer preferences and environmental consciousness. The findings of the paper underscore the significant responsibility of industries in contributing to energy-saving efforts and the active role of consumers in the energy market. The responsibility of industries in contributing to energy efficiency is highlighted, with a call for a comprehensive approach that integrates energy-saving criteria into product development and corporate social responsibility. [ABSTRACT FROM AUTHOR]

Copyright of Pravnik is the property of Czech Academy of Sciences, Institute of State & Law and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)