Market Analysis Research Articles

Investigating the price determinants of the European Emission Trading System: a non-parametric approach

Understanding the intricacies of factors influencing European Union Emission Trading System (EU ETS) market prices is paramount for effective policy making and strategy implementation. We propose the use of the Information Imbalance, a non-parametric measure recently introduced in the physics community for quantifying the degree to which a set of variables is informative with respect to another one, to study the relationships among macroeconomic, economic, uncertainty, and energy variables concerning EU ETS price between January 2014 and April 2023. Our analysis shows that in Phase 3, commodity-related variables such as the ERIX index are the most informative in explaining the behaviour of the EU ETS market price. Transitioning to Phase 4, financial fluctuations take centre stage, with the uncertainty in the EUR/CHF exchange rate emerging as a crucial determinant. These results reflect the disruptive impacts of the COVID-19 pandemic and the energy crisis in reshaping the importance of the different variables. In addition to highlighting the shift in influential factors between Phase 3 and Phase 4, our findings underscore how macroeconomic volatility and energy disruptions have altered market dynamics. Notably, during the COVID-19 pandemic, the volatility in financial markets and fluctuations in energy demand and supply significantly affected the predictive power of different variables. Moreover, the energy crisis amplified the sensitivity of EU ETS prices to energy-related factors, reinforcing the importance of incorporating multiple dimensions into market analysis. Beyond variable analysis, we also propose to leverage the Information Imbalance to address the problem of mixed-frequency forecasting, and we identify the weekly time scale as the most informative for predicting the EU ETS price. Finally, we show how the Information Imbalance can be effectively combined with Gaussian Process regression for efficient nowcasting and forecasting using very small sets of highly informative predictors.

Research On Marvel's Marketing Model: An Analysis of Digital Marketing and Synergistic Effect

Marvel Studios occupies a significant position in the global entertainment industry. Its success is attributed not only to its film content but also to its unique marketing strategies. This paper aims to analyze Marvel's digital marketing model and the synergistic effects across different media. Through case studies of Marvel Studios' marketing strategies, this paper explores its practices and achievements in social media, content marketing, and cross-platform collaboration. Furthermore, this paper examines relevant market data and user feedback, comparing Marvel's marketing model with other well-known brands through comparative analysis. The research finds that Marvel has successfully established a strong brand influence and a loyal fan base through precise digital marketing and efficient media synergy. This paper will help other enterprises understand how to use digital marketing and synergies to enhance brand value and market competitiveness, demonstrating the effectiveness of Marvel's digital marketing strategies in developing brand cohesion and achieving high returns.

Управление логистическими процессами в трансграничной электронной коммерции

In the context of the globalization of the economy and the development of cross-border e-commerce, the importance of cross-border logistics is increasing, allowing for an effective process of product distribution. The issues of organizing transport and logistics processes during the delivery of goods within the framework of the functioning of cross-border e-commerce are discussed. The main aspects of the development of e-commerce logistics and its impact on the trading business have been studied. An analysis of the cross-border e-commerce market in Russia is carried out. It is noted that currently the global logistics industry is in an unstable environment. The main directions and trends in the development of logistics services in modern conditions are considered and the specifics of adapting the process of goods distribution within the framework of cross-border e-commerce to changes in the external environment are investigated. The distinctive features of e-commerce logistics have been studied in the context of its impact on the trading business, which allows for increased efficiency of logistics processes such as procurement, transportation, order processing, inventory and warehouse management, packaging and labeling. It has been proven that with the development of information technology and telecommunication networks, as well as increasing demand in the field of online trading, the need for effective logistics support is significantly increasing, and delivery speed is becoming increasingly important to provide quality service to consumers. The advantages of e-commerce are substantiated from the perspective of subjects of trade and logistics activities, which include the global nature of customer coverage and the convenience of inter-subject interaction, reduction of operating costs of trade and logistics activities, expanded opportunities for marketing and advertising support, increased level of automation of e-commerce logistics management processes.

Labor Market Analysis as a Condition for Successful Recruiting

The article is devoted to the study of the importance of labor market analysis for attracting personnel to a company. The labor market, its structure, functions, and main parameters are characterized. Key market indicators important for recruiting are emphasized. Sources for analyzing the labor market are described and an approach to assessing its current state in the process of filling a vacancy is proposed. The authors reveal the dependence of recruiting success on the degree of development of the employer’s value proposition and its positioning against competitors.

Prospects for the development of foreign economic activities of the Russia banking sector in China

Relevance. In modern conditions of economic uncertainty and difficulties of doing business in connection with the application of sanctions, banks need to look for effective tools and ways to increase the effectiveness of mutual cooperation with other states to overcome the prevailing circumstances. During the work, the main aspects of opening and functioning of a bank branch in China were considered, as well as competitors at both the macro and micro levels were analyzed. Based on the SWOT analysis, the paper identifies the strengths and weaknesses, opportunities and threats of introducing a branch of a Russian bank into the Chinese banking market. The study identifies promising regions for the development of foreign economic activity and forms a range of banking services that contribute to the sustainable development of the branch of the Russian bank in the foreign market.The purpose of the study is to substantiate the need to develop the foreign economic activity of a Russian commercial bank in China.Objectives: Based on a comprehensive analysis and acceptability of the Chinese banking services market, an assessment of the current state of PJSC Expobank, an analysis of competitors in the proposed region and the specifics of a specific location, to develop a plan for opening a bank branch in China.Methodology. The study is aimed at achieving this goal and is based on a review of scientific research by both domestic and foreign economists, as well as an analysis of a number of requirements for opening a bank branch in China.Results. In the course of the work, the process of opening a bank branch in China for carrying out activities was analyzed, the advantages and disadvantages of expanding the boundaries of presence were identified, and promising areas for starting foreign economic activity were proposed.Conclusions. The conducted research gives grounds to conclude that the expansion of the geographical presence in China will allow PJSC Expobank to gain access to world economic centers and expand the boundaries of its activities.

Investigating stingray skin as a novel material for high-performance textile items

ish skin leather is a sustainable alternative to traditional leather production. The goal of this study is to create a recipe for turning raw stingray leather into protective gloves for hands. The process flow of Stingray Leather Processing and optimization of each single step has been done. The technique is based on tanning agents, formulating new processing methods, conducting an extensive market analysis, and examining the environmental impact. The processed stingray leather was evaluated for resistance to abrasion, cur, and puncture resistance, and it was found that the stingray skin gloves showed better cut and abrasion resistance than the conventional gloves available in the market.

Avalúos inmobiliarios: un estudio de caso sobre el sistema Continental frente al Common Law

We use Colombia as a case study of a situation where emerging real estate valuation practices, mostly based upon the logic of Common Law legal systems, and oriented to market prediction and global standards, collides with a valuation tradition based upon the Continental legal tradition. In this tradition, the valuation process first and foremost must satisfy limiting regulatory checklists. These requirements minimize the value of focusing on market analyses to offer accurate predictions (appraisals). Our analysis builds upon the Laws 9 of 1989 and 388 of 1997, and their corresponding implementation legal enactments (resoluciones), showing that the valuation practice for public purposes determines a logic where appraisers operate as ‘temporary public workers’. Appraisers and their associations (Lonjas) have subsequently transferred such limiting procedural principles to valuation for business purposes, which should be oriented to market analysis and prediction.

First-generation Korean food entrepreneurship: strategies of living with (ethnic) difference in the city

ABSTRACT Based on semi-structured interviews and ethnographic market analysis online and on-site, this study explores strategies of ethnic food entrepreneurship by first-generation Korean migrants in London. The focus is on how urban difference is translated through entrepreneurship into concrete everyday interactions across urban divides, as migrant entrepreneurs engage with urban economies, societies and regulatory frameworks through their enterprises. This empirical focus is driven by an interest in the application of the notion of conviviality as a lens to understand urban interactions of living with difference. We thus deliberately depart from assimilationist and groupist precepts as imposed by the “migrant integration” agenda or multiculturalist approaches ignoring persistent hierarchies of difference. Our contribution is in providing empirical insight into living with difference in the city through the exploration of how difference is translated through the entrepreneurship of a conspicuous and often racialised group of migrant entrepreneurs.

Reinforcement learning-based portfolio optimization with deterministic state transition

Portfolio optimization has attracted substantial interest within the artificial intelligence community due to its significant impact on financial decision-making, risk management, and market analysis. Reinforcement learning fits well with portfolio optimization because their goal is to maximize cumulative returns. In reinforcement learning, state transition probabilities are often unknown and must be estimated. However, in portfolio backtesting experiments, these probabilities are deterministic, making the conventional reinforcement learning approach to estimating state transitions suboptimal for portfolio optimization. Addressing this issue, this study decomposes the portfolio optimization into two core tasks: prediction and profit policy optimization and proposes a novel reinforcement learning framework that assumes deterministic state transition probabilities, comprised of three main modules: feature extraction, prediction, and profit strategy optimization. To model assets more effectively and comprehensively, we capture their temporal features, relational features, and market state. We introduce a patch-wise correlation method and attribute based gate to enhance feature extraction. In the profit policy module, we utilize a deterministic strategy, employing a recursive reinforcement learning method based on Monte Carlo sampling to train the policy network. This enables dynamic adjustments of asset investment weights, ensuring the maximization of cumulative returns. Extensive experiments conducted on cryptocurrency datasets demonstrate the superior performance of our approach, and achieving 36.6%-75.6% improvements in main measurements on cryptocurrency datasets.

TCα-PIA: A Personalized Social Network Anonymity Scheme via Tree Clustering and α-Partial Isomorphism

Social networks have become integral to daily life, allowing users to connect and share information. The efficient analysis of social networks benefits fields such as epidemiology, information dissemination, marketing, and sentiment analysis. However, the direct publishing of social networks is vulnerable to privacy attacks such as typical 1-neighborhood attacks. This attack can infer the sensitive information of private users using users’ relationships and identities. To defend against these attacks, the k-anonymity scheme is a widely used method for protecting user privacy by ensuring that each user is indistinguishable from at least k−1 other users. However, this approach requires extensive modifications that compromise the utility of the anonymized graph. In addition, it applies uniform privacy protection, ignoring users’ different privacy preferences. To address the above challenges, this paper proposes an anonymity scheme called TCα-PIA (Tree Clustering and α-Partial Isomorphism Anonymization). Specifically, TCα-PIA first constructs a similarity tree to capture subgraph feature information at different levels using a novel clustering method. Then, it extracts the different privacy requirements of each user based on the node cluster. Using the privacy requirements, it employs an α-partial isomorphism-based graph structure anonymization method to achieve personalized privacy requirements for each user. Extensive experiments on four public datasets show that TCα-PIA outperforms other alternatives in balancing graph privacy and utility.

On Digital Transformation Experience of the Order Fulfillment Process

The paper examines the process of order execution being won on a tender platform. Due to the short order fulfillment deadline, the work starts not at the moment of contract signing, but at the moment of winning the tender. This leads to additional risks of non-fulfillment of the order and the emergence of unfinished production. In the conditions of stock exchange prices in commodity markets, the process of the production cost determination becomes a more complex task, requiring daily cost reevaluation with the integration of heterogeneous information systems. Therefore, a transition from automation to digital transformation is required. The literature review on the issue of manufacturing enterprise digital transformation has been completed at work. The differences between the definitions of digitalization, automation and digital transformation are described. The most promising technologies for digital transformation are outlined. Based on the reviewed literature, the main problems of digital transformation, including managerial issues highlighted by the authors as the most important, are identified. The operations of several enterprises within one information space are described, indicating the information systems used. The process of creating an order on a tender platform for the examined manufacturing enterprise is detailed, as well as a detailed description of order creation. The issue of production cost determination in the conditions of order execution start prior to contract signing is discussed. The pressing issue of digital development of an industrial enterprise due to the transition to new information systems is presented. The problems of using current information systems in production are described. The market analysis of modern Russian, foreign, and open-source systems with a description of the issues of their application is provided. A method for unfinished product automation in a new order is proposed.

ПРОБЛЕМИ ТА ПЕРСПЕКТИВИ СТРАХУВАННЯ ТУРИСТИЧНОЇ ДІЯЛЬНОСТІ

The article discusses the types of insurance in tourism. Based on the analysis of the insurance market of Ukraine, it was established that the number of insurance companies decreased by almost three times during the years 2015-2022, and 25 insurance companies worked in the field of tourism in 2023. It was revealed that the following companies are the leaders in the travel insurance market: European Travel Insurance, ARX, VUSO, PZU Ukraine. The factors that hold back the development of tourism insurance are highlighted: military actions due to Russia's invasion of Ukraine, political instability; decrease in the number of tourists, low solvency of the population; imperfect legal framework; poor awareness of the population in the field of tourism insurance; public distrust of insurance companies; a narrow range of insurance services in the field of tourism insurance; incomplete and untimely fulfillment of obligations to policyholders; limited scope of insurance protection due to reduction of insurance prices by insurers; decrease in the quality of insurance products; insufficient professional level of insurance company specialists; overall low development of the country's insurance market. The main trends in the field of insurance in Ukraine are revealed: individual policies for certain tourist segments, use of artificial intelligence, transformation of products into the format of electronic policies, blockchain technologies. Directions for solving problems in the field of insurance in tourism are indicated: improvement of the regulatory and legal framework; ensuring political stability, increasing economic development in the state; training of highly qualified personnel in the field of insurance; improvement of insurance culture; creation of protective mechanisms for tourists; assistance from the state to the development of the insurance market in Ukraine; improvement of the risk management mechanism; increasing public trust in insurance companies; expanding the list of insurance services and improving their quality.

Investigating the impact of advertising spending on brand equity dimensions in Kosovo: A comprehensive market analysis

This research paper examines the impact of advertising spending on three crucial aspects of brand equity—brand awareness, perceived quality, and consumer purchase intention—in Kosovo's unique market environment. The study aims to offer a detailed analysis of both the actual advertising expenditures and consumers' perceptions of these expenditures, exploring their influence on brand-related metrics. This approach not only fills a significant gap in the literature concerning advertising spending in Kosovo—a developing economy facing substantial economic challenges—but also provides practical insights for businesses to optimize their advertising strategies even in times of economic downturns. The research encompasses a diverse array of 24 brands from sectors such as banking, microfinance, insurance, furniture retail, and supermarkets, thus presenting a comprehensive view of advertising's role in shaping consumer behavior. Employing a robust quantitative framework, the study integrates both secondary and primary data through statistical models like ordinary least squares and Probit, highlighting the strategic value of advertising investments and offering a contextually rich perspective on its effectiveness in enhancing brand equity elements within a challenging economic landscape.

Destabilising the home: place making, dark tourism and the spectral

Ghosts, hauntings and the spectral are intrinsically linked to sites of dark tourism. Supernatural stories commonly emerge in places connected with tragedy, death and the macabre, forming spectral geographies in which the past and present intertwine. Visiting places of supernatural significance has long been of interest to tourists (Holmes and Inglis, 2004), however, in the last two decades a considerable ‘ghost-hunting’ subculture has emerged alongside commercial events and tourist attractions dedicated to engaging visitors with spectral possibilities (Eaton, 2020; Ironside, 2018). As a result, places associated with ghost folklore including private homes, hotels, and heritage buildings, have become popular travel destinations due to their supernatural associations. Film and television media are often credited with the popularisation of haunted places (Edwards, 2019; Hill, 2010); however, more recently web-based and social media platforms have become spaces for promoting, reporting, and sharing paranormal experiences. In this paper, we explore the construction of spectral geographies, specifically haunted houses, through online narratives. By drawing upon textual analysis of both marketing and online reviews we analyse two cases, 30 East Drive and The Ancient Ram Inn, and explore how these private homes have been transformed into sites of dark tourism through digital storytelling and discourse. Through our analysis we consider how personal experience, intertextuality, and uncanny signifiers contribute to a form of placemaking through digital media and storytelling (Halegoua & Polson, 2021), experiential consumerism (Pine & Gilmore, 2011) and an evolving spiritual quest culture (Eaton, 2015).

Marketing analysis of consumer preferences of service quality in chain hotels

The article deals with the issues of marketing analysis of service quality in chain hotels. The results of theoretical literature have shown that the quality of service can be assessed by such an indicator as the degree of guest satisfaction. At the same time, the quality of service in the hotel depends on the specifics and type of the hotel, the standards used and the professionalism of the staff. In order to assess the quality of hotel services, marketing research in the form of a survey was conducted. The main purpose of the research is to determine what factors influence the process of hotel service quality. The results of the marketing research showed that the average index of satisfaction with the activities of chain hotels is 64%, there are certain shortcomings related to the culture of guest service. In addition, hotel staff are not always ready and able to solve problems that arise in the process of customer service.When assessing the weak areas it was revealed that a significant part of hotel customers are not satisfied with the speed of service, note the inattention of staff and emphasise the late performance of functional duties. In order to improve the quality of service, as the results of the study showed, it is necessary to improve competences in delegation of authority, service culture and effective communication. Thus, to improve the quality of service in chain hotels it is advisable to increase the level of staff training and develop competences related to the service process.

Bayesian machine learning framework for characterizing structural dependency, dynamics, and volatility of cryptocurrency market using potential field theory

Identifying the structural dependence between the cryptocurrencies and predicting market trend are fundamental for effective portfolio management in cryptocurrency trading. In this paper, we present a unified Bayesian machine learning framework based on potential field theory and Gaussian Process to characterize the structural dependency of various cryptocurrencies, using historic price information. The following are our significant contributions: (i) Proposed a novel model for cryptocurrency price movements as a trajectory of a dynamical system governed by a time-varying non-linear potential field. (ii) Developed a Bayesian machine learning framework for inferring the non-linear potential function from observed cryptocurrency prices. (iii) Proposed that attractors and repellers inferred from the potential field are reliable cryptocurrency market indicators, surpassing existing attributes in the literature. (iv) Analysis of cryptocurrency market during various Bitcoin crash durations shows that attractors captured the market trend, volatility, and correlation. In addition, attractors aids explainability and visualization. (v) The proposed cryptocurrency market indicators (attractors and repellers) was used to improve the prediction performance of state-of-art deep learning price prediction models.

Navigating Ghana's economic waters: Exploring the impact of Fiscal and Monetary policies on stock market performance

This study leverages the Autoregressive Distributed Lag (ARDL) and Exponential Generalized Conditional Heteroscedasticity (EGARCH) models to conduct a thorough examination of the impact of fiscal and monetary policies on the Ghanaian stock market from 1990 to 2022. Key findings indicate that government spending and tax revenue, as components of fiscal policy, are positively associated with stock returns, contrasting with the negative influence of the industrial production index. On the monetary policy front, interest rates are found to negatively affect stock performance, while exchange rates and the money supply exert positive influences. In the short term, government spending enhances stock returns, although the effects of GDP and the industrial production index are inconsistent, with exchange rates and money supply demonstrating a negative impact. The study underscores the profound sway that policy decisions have on stock market dynamics, underscoring an urgent need for investors and policymakers to closely monitor policy shifts and their market reverberations. A pivotal policy recommendation emerging from this research is the strategic synchronization of fiscal and monetary policies by policymakers to underpin stock market stability and growth. Such harmonization can counteract the adverse effects of policy-induced volatility, cultivating an investment-friendly climate. Investors and policymakers are encouraged to draw upon a spectrum of credible sources, encompassing financial news, governmental releases, and market analyses, to remain abreast of policy evolutions. This research offers precious perspectives on the nexus between economic policies and market movements, offering value for academic inquiry and informing practical decision-making strategies.

Sustainable Development Strategy of Enterprises in International Markets: Opportunities and Challenges

A sustainable development strategy for businesses in international markets is crucial for achieving success in the globalized world. Scholars and practitioners emphasize that companies must pay attention to the economic, social, and environmental aspects of sustainable development. This implies the importance of developing strategies that help ensure economic profitability, maintain relationships with stakeholders, and reduce negative impacts on the environment. The experts' attention is focused on the performance of Ukrainian companies in international markets in the period from 2022 to 2024, during the full-scale aggression against Ukraine. Due to the significant obstacles and barriers that currently exist, these companies need support for sustainable development in international markets. In our research, we have developed new strategies to ensure the sustainable development of Ukrainian enterprises. These approaches cover various areas of activity, including the following aspects: establishing crisis communication with customers and stakeholders, who are provided with important information about the market situation and the company's actions; expanding international marketing by searching for new markets for products and services to reduce dependence on specific markets and risks; increasing sales through intensified marketing activities, market analysis and search for new opportunities for sales growth; building a positive image of the company through information and communication activities; ensuring competitiveness in the international market by improving goods and services. The study segmented the markets of grain importers and identified Segment A, which does not require financial investments in its development. This segment consists of the markets of Spain, China, and Romania, where grain importers in 2023 were characterized by significant purchases and successful market operations. Segment B includes the markets of Egypt, Turkey, Italy, the Netherlands, Poland, Hungary, Portugal, Bangladesh, Israel, Germany, Lebanon, Tunisia, and Indonesia, where investments are needed to develop the promotion of goods and services, in particular, to improve marketing strategies, build partnerships with local companies and organizations, and implement innovative production technologies. Segment C included a set of markets that were assessed by several indicators, and eight international markets were identified as potential import partners: Japan, Korea, Vietnam, Algeria, Morocco, Malaysia, the United Kingdom, and Thailand. In assessing the attractiveness of new international markets, it was found that the markets of Korea, Malaysia, and the United Kingdom are the most suitable for Ukrainian enterprises. In this regard, we have developed recommendations on the strategy of marketing international business diversification of Ukrainian companies in these markets. If these recommendations are followed and a strategic approach to international diversification is applied, Ukrainian companies can successfully expand their business presence in South Korea, Malaysia, and the United Kingdom. Keywords: international diversification, sustainable development strategy, sales volumes, information and communication activities, potential import partners, attractiveness of new international markets, market convergence.

Institutional Special Needs Plans In Nursing Homes: Substantial Enrollment Growth But Low Availability, 2006-21.

Institutional Special Needs Plans (I-SNPs) are a type of Medicare Advantage (MA) plan designed for long-term residents of nursing homes or those who live in the community but need a nursing home level of care. I-SNPs provide for on-site nurse practitioners in nursing homes to help improve primary care, care planning, and care coordination. Our study was the first to undertake a nationwide descriptive analysis of the I-SNP market. The share of long-stay nursing home residents enrolled in I-SNPs quadrupled from 2006 to 2021, from 2.2percent to 8.8percent. Despite this growth, nearly 70percent of nursing homes did not have any residents enrolled in I-SNPs in 2021, and in more than 60percent of US counties, there were no I-SNPs available. Nearly 94percent of long-stay nursing home residents who were enrolled in I-SNPs in 2021 were eligible for both Medicare and Medicaid. More research is needed to understand why I-SNPs enter certain markets and why long-stay nursing home residents choose to enroll in them; to assess I-SNP enrollment barriers; and to compare hospital admission rates and quality outcomes among long-stay nursing home residents by I-SNP enrollment status. Increased understanding of I-SNPs could inform policies to address long-standing concerns about the quality of care in nursing homes.

A Comprehensive Survey on Deep Learning-based Recommender Systems for Market Analysis

A Comprehensive Survey on Deep Learning-based Recommender Systems for Market Analysis