Growth Prospects Research Articles

Analisis Kinerja Keuangan Berdasarkan Rasio Likuiditas dan Solvabilitas Pada PT. Bank Muamalat Indonesia Tbk

Financial performance is an analysis that is carried out to see to what extent a company has implemented and applied the rules of financial enforcement properly and correctly. By measuring financial performance, it can be seen the prospects of growth and development of the company. A company is said to be successful when it has achieved a certain set performance. The purpose of this research is to find out the financial performance based on the ratio of liquidity and solvency in the PT. Bank Muamalat Indonesia Tbk period 2018-2022. This type of research is descriptive research with a quantitative approach. The sample in this study is the annual financial report of Bank Muamalat for the period 2018-2022. Data collection techniques are documentation and library with data analysis using miscrosof exel software. The research results show the financial performance of PT. Bank Muamalat Indonesia based on the liquidity ratio for the 2018-2022 period is in the unhealthy category. This can be seen from the quick ratio indicator in 2018-2020 in the unhealthy category but in 2021 and 2022 the healthy category, the cash ratio value in the unhealthy category, the loan to deposit ratio in the unhealthy category, the assets to loan ratio in the healthy category in accordance with Bank regulations Indonesia. Financial performance of PT. Bank Muamalat Indonesia based on its solvency ratio for the 2018-2022 period is in the healthy category. This can be seen from the Primary Ratio indicator in the healthy category. The secondary risk ratio indicator is in the unhealthy category. The capital ratio indicator is in the healthy category in accordance with Bank Indonesia regulations

Taxation Policy and Compliance Burden on MSMEs: An In-depth Legal Study in Indonesia

Micro, Small, and Medium-Sized Enterprises (MSMEs) are shaped by tax laws, which have a major impact on their growth prospects, competitiveness, and conduct. MSMEs in Indonesia confront many obstacles when it comes to adhering to tax laws, such as intricate administrative procedures, expensive compliance fees, and restricted access to incentives. Using a normative analysis technique, this research undertakes a comprehensive legal study to assess taxation policies and compliance constraints on MSMEs in Indonesia. The results highlight the necessity of focused initiatives to improve taxpayer education, increase incentive accessibility, streamline tax laws, and provide compliance support. By tackling these issues, Indonesia can provide a tax climate that is more favorable and supportive of MSMEs, promoting entrepreneurship, economic growth, and sustainable development.

International economic policy uncertainty and analysts' earnings forecasts

We investigate the extent to which international economic policy uncertainty (EPU) impacts analysts' earnings forecasts. Using a sample of Australian firms, we demonstrate that EPU is positively associated with the size of forecast errors and the extent of forecast dispersion. Consistent with Australia being a relatively small but open economy, we show that this EPU effect extends beyond domestic EPU to include global and country-specific EPU, most notably Chinese and US EPU. The effect of international EPU is stronger for short-term forecasts, and for firms with higher growth prospects and profitability. However, the effect of Australian EPU is more pronounced for longer horizon forecasts and for firms in the resources and mining industries, and those with lower growth and profitability. Our results are consistent with heightened international EPU negatively impacting firms' information environment, with increased variation in market participants' beliefs.

Lifelong learning as a governing technique of subjectivation from the perspective of the discourse of hope and fear

Neoliberal governmentality highlights that the mode of governing technologies has moved from government toward governance in modern society. Accordingly, as the self becomes the nexus between social control and self-regulation, configuring self-knowledge is mainly achieved through subjectivation, as argued by M. Foucault. The OECD's PISA program implicitly carries out this technique by holding teachers responsible for national prospects through its assumption of a close linkage between teaching quality and human capital. More importantly, PISA data facilitates international comparisons and rankings by which the international competitiveness of its participants can be identified and categorized. Unsurprisingly, those member countries/regions classified in the first tier are confident of their prospects for future economic growth in contrast with those ranked below the average, which are unable to escape from a state of fear engendered by their assumed lack of economic prospects. Teachers thus become the subject and object of educational reforms. Teachers need to improve their teaching quality through professional development to eliminate the stigma of being viewed as social burdens. The discourses of hope and fear set in motion by PISA thus turn lifelong learning into a powerful means of facilitating the government to fabricate teachers' subjectivity. This is the art of subjectivation, commanding teachers to perform as enterprising subjects who are dedicated to contributing to social progression through good teaching quality, which is perceived as the gateway for them to bring honor upon themselves.

Challenges and Prospects of Contemporary Nigerian Textile Design

Nigerian textile in all its ramifications is one of the oldest art practices in Nigeria. While it is worthwhile to note that textile design repertoire has been a major part of the nation’s identity, textile designers who form a considerable part of the workforce are confronted with challenges. On one hand, the current trend in globalisation has exposed textile designers to new materials and techniques as well as the potential influences of other world cultures. This paper contends that in the quest to become globalised, the traditional African cultural heritage is being sacrificed on the altar of modernization. On the other hand, the introduction of new materials and techniques counts among the instruments or tools for positive impact. It is on this premise that one can say that contemporary Nigerian textile designers alongside their designs are reminiscent or reflect a society in the cusps of change in terms of challenges and prospects. Hence, this article offers some useful knowledge on this development as it establishes the extent to which Nigerian textile designers had suffered from several inadequacies that posed as challenges. It also highlights some reasonable prospects for growth or advancement in the industry in Nigeria.

Examine the distribution strategy of Varun beverages ltd. insights and lesson from PepsiCo’s expansion in the Indian market

To analyse and understand the distribution strategy of Varun Beverages Ltd., a key PepsiCo franchisee in India, and to draw insights and lessons from PepsiCo apus’s expansion in the Indian market through this partnership. · The study aims to examine the effectiveness of Varun Beverages apos, distribution network, its focus on rural markets, utilization of innovative channels, supply chain management practices, and brand building efforts. By exploring these aspects, the study aims to offer insightful information for companies looking to enhance their distribution strategies and market penetration in India NEED FOR THE STUDY The necessity of researching Varun Beverages Ltd.'s distribution plan. is significant for various reasons. The first step is to comprehend Varun Beverages Ltd.'s distribution strategy. can offer insightful information about its operations and business model. Investors, scholars, and industry analysts interested in the company's performance and future growth prospects may find this information helpful. Second, examining a company's distribution strategy can reveal best practices and lessons discovered that other companies in the same industry can use. As an illustration, the understanding obtained from examining Varun Beverages Ltd. 's distribution strategy can be used as a model for other beverage companies that operate in comparable markets. Thirdly, researching a company's distribution strategy can assist in determining market opportunities and challenges. For example, knowing Varun Beverages Ltd.'s distribution channels. can assist in locating potential markets for the company's reach and market share growth. Analysing market trends and competitors can also assist the business in anticipating and adapting to changes in the industry.

Time Series Analysis on Monthly Beer Production in Australia

Despite Australia's high enthusiasm for beer consumption, domestic beer production falls short of meeting the demand, creating business opportunities for potential investors. In this research, the method Seasonal Autoregressive Integrated Moving Average (SARIMA) model is used to analyze a historical beer production data in Australia from January 1956 to December 1994 in each month. The optimal SARIMA model is identified through a rigorous process involving time series conversion, seasonal component removal, and data differencing to address non-stationarity. Residual analysis confirms the model's effectiveness. By dividing the dataset into training and test sets, the SARIMA model forecasts the next 24 periods, providing valuable insights for potential investors seeking optimal entry points into Australia's beer market. Results reveal a notable upward trajectory in monthly beer production, highlighting untapped growth potential within the domestic beer industry. The study's findings not only contribute to forecasting future production trends but also offer strategic guidance for investors, shedding light on sustained growth prospects in the Australian beer market.

Unlocking Prosperity: Identifying Key Sectors For Tourism Development In Yogyakarta

Tourism has great potential to create jobs and improve Indonesia's competitiveness in the global market. The Special Region of Yogyakarta (DIY) is one of the provinces in Indonesia that has comparative advantages and good prospects in tourism. This study aims to determine the economic sectors that are the basis and have prospects for growth and to determine the development that can be done in these sectors to optimize tourism in each regency and city in the Special Region of Yogyakarta. Based on analysis using Location Quotient (LQ) and Dynamic Location Quotient (DLQ), the agriculture, forestry, and fisheries sector, the water supply, waste management, waste, and recycling sector, the wholesale and retail trade sector, car and motorcycle repair, the transportation and warehousing sector, as well as the accommodation and food supply sector are the basic and prospective sectors in the regencies and cities in Yogyakarta. Optimization of tourism can be done through the intensification of these basic and prospective sectors through strengthening agro-tourism, waste management, local shopping, and public transportation in each district and city in DIY. By strengthening the basic sectors and taking strategic steps in tourism development, DIY can strengthen its position as an attractive and sustainable tourism destination.

Peculiarities of the IT clusters development in Ukraine: problems and prospects for growth

The strategic importance of IT in today's innovation and information technology-oriented economy cannot be overstated. Its active introduction is crucial to promote economic development, increase civic engagement, and strengthen the national economy's competitive position. The development of information technologies not only catalyzes the transition from extensive to intensive production growth but also brings about significant changes in labor organization and management technologies. This article is dedicated to a comprehensive study of the economic processes in Ukraine's IT sector, with a particular focus on IT clusters. The primary objective is to determine the current state of these clusters and outline the directions of their future development. The article describes the key factors that limit the competitiveness of the Ukrainian IT sector and outlines ways to overcome them. The characteristics of IT cluster development in Ukraine are studied. The dynamics of IT exports are analyzed. The activities of the top 25 IT companies in Ukraine are characterized. The study shows that Ukraine's IT sector has demonstrated impressive resilience and adaptability during the war, successfully responding to digitalization and cybersecurity needs despite serious challenges such as the migration of professionals and changes in professional life. Key factors contributing to the development of IT clusters in Ukraine are identified. The article establishes that the state of development of the country's relevant technologies, innovation ecosystem, and infrastructure is the primary driver of the Ukrainian IT sector development. The main activities of these clusters aimed at improving innovative products are outlined. After the war, IT clusters are expected to play a vital role in the country's economic recovery, using their experience to develop innovations and stimulate growth through international investment and integration into international markets. Keywords: ІТ cluster, ІТ sector, innovation, investment, competitiveness, entrepreneurship

How to deter earnings manipulation in Chinese banks? A study from the combined effects of corporate governance, enterprise resources, and supervisory mechanisms

AbstractThe study proposes methods for deterring earnings manipulation in Chinese commercial banks, recognizing it as an ongoing problem with the potential to destabilize investors and financial markets. The increasing integration of the global financial system has heightened the importance of addressing this issue, given the systemic risk posed by large individual financial institutions. Utilizing the Fuzzy Set Qualitative Comparative Analysis method (fsQCA) on 139 Chinese commercial banks in 2021, the paper explores factors influencing banks' earnings manipulation behavior. The study reveals several key findings: (1) Factors associated with reducing the likelihood of earnings manipulation in commercial banks are diverse and multifaceted. (2) Multiple paths exist to achieve earnings manipulation, categorized into Resource‐guided, Corporate Governance, Resource and Supervisory Mechanism, Supervisory Mechanism, and Corporate Governance as the main mechanism. Among these, the Supervisory Mechanism exhibits the highest consistency. (3) Hiring “Big Four” accounting firms as auditors emerges as a significant deterrent against earnings manipulation in commercial banks. (4) Banks with powerful major shareholders affiliated with the government or ample resources are effective in deterring earnings manipulation. These two factors are complementary, while a bank's growth prospects and industrial competition serve as substitute factors.

IMPACT OF META VERSE ANNOUNCEMENT DATE ON STOCK PRICES

Purpose-The developing metaverse, a virtual world poised to transform online interaction, has raised an important question: how does a company's participation influence its financial standing? This study focuses on the e-commerce behemoth Amazon and its prospective entry into the metaverse. Our major goal is to determine whether a statement by Amazon on their metaverse plans causes a significant impact in their stock price. By examining past stock data with any potential metaverse announcement dates, we hope to determine whether Amazon's excitement about the metaverse translates into an actual financial benefit. This study dives deeper by examining the specifics of the announcement (assuming it occurs). Does the level of commitment and investment mentioned affect the stock price reaction? Finally, this study aims to bridge the gap between the hoopla surrounding the metaverse and its real-world ramifications for corporations such as Amazon. Approach: Event Definition: The event of interest is the particular day on which our selected companies makes a public declaration about entering the metaverse. This date will be critical to our analysis. Event Window: We'll set a timetable around the announcement date. This window will most likely consist of two parts: Estimation Window: The period preceding the announcement, we have selected 110 days, helps set a baseline for Amazon's stock price performance and eliminates the impact of unrelated market movements. Event Window: This time period, we have selected as 10 days before and after following the announcement allows us to monitor any potential changes in stock price due to metaverse news. Findings: Stock Price Change: The investigation may discover a statistically significant boost in companies stock price following a metaverse announcement. This suggests that investors reacted positively to the announcement, maybe seeing the metaverse as a new growth prospect. No Change or Negative Change: Alternatively, the investigation may discover no substantial change, or even a decline in stock price following the announcement. This could suggest investor concern about companies capacity to capitalize on the metaverse, as well as a general market correction during the event window. Impact of Announcement Specificity: The study may find that the level of depth and commitment conveyed in the announcement influences stock price movement. A more thorough and ambitious proposal may elicit a better positive response from investors. Industry-Specific Effects: The research design might be expanded to compare company's stock price movement to those of other companies in different industries following metaverse announcements. This could reveal whether particular industries have a stronger stock market reaction because of their deeper relationship to the metaverse. Limitation: For starters, the metaverse is a very new concept, so any announcement by worldwide companies may focus on future projects. This makes it difficult to estimate the long-term financial impact on the company's stock price. Furthermore, the specifics of the announcement itself (assuming it occurs) are critical. A vague announcement with few specifics may have a lower impact on the stock price than a well-defined plan with realistic investment figures. These constraints underscore the need for additional research as the metaverse and corporate participation in it evolve.

РАЗВИТИЕ НАУЧНО-ТЕХНОЛОГИЧЕСКОГО ПОТЕНЦИАЛА РЕГИОНОВ ПРИВОЛЖСКОГО ФЕДЕРАЛЬНОГО ОКРУГА РОССИЙСКОЙ ФЕДЕРАЦИИ

Currently, in the context of active transformation of the global economy, innovation plays a key role in the development of regions. This is especially noticeable in industrialized countries, where the prospects for sustainable economic growth are closely linked to the integration of the latest scientific and technological achievements, including progress in the fields of information technology, biotechnology, nanotechnology, as well as the introduction of new materials and technologies aimed at saving resources and protecting the environment . The development of the scientific and technological potential of the regions of the Russian Federation is recognized as a priority task at the state level. Issues of developing and implementing strategies that can stimulate the scientific and technological development of the regional economy occupy a central place in discussions at the highest government level and in scientific circles. The Volga Federal District of Russia stands out among other regions due to its high scientific and technological activity. Analysis of the scientific and technological potential of a given region, taking into account its scientific, technological and economic characteristics, is an important task, which provides for the relevance of developing special territorial strategies and methods for assessing scientific and technological development. The object of the study is the scientific and technological potential of the Volga Federal District of the Russian Federation. The purpose of the study is to assess the state, problems and prospects for the development of the scientific and technological potential of the regions of the Volga Federal District. Research methods: statistical analysis, comparative analysis, documentary method, general scientific methods. The scientific novelty of this research includes the identification and analysis of key factors that influence scientific and technological potential, as well as determining the directions of its development in the regions of the Volga Federal District.

ПЕРСПЕКТИВЫ ЭКОНОМИЧЕСКОГО РОСТА: ПЕДАГОГИЧЕСКИЕ ПОДХОДЫ К ОСВЕЩЕНИЮ ДАННОГО НАПРАВЛЕНИЯ В ВУЗАХ

The paper examines the prospects for economic growth and various pedagogical approaches to highlighting this issue in universities. The author analyzes current trends in economic development and suggests teaching methods and strategies that contribute to the formation of students' competencies necessary for effective participation in stimulating economic growth. In addition, the key aspects of integrating theory and practice into the educational process are discussed, including the use of case methods, project work and simulation games. The results of the study can be useful for teachers and university leaders in the development and improvement of educational programs aimed at training specialists who can effectively interact with the modern economic environment.

Analysis of the Accuracy Level of the Balance Model in Stock Investment Prediction in the LQ45 Index

Objective –This study examines how the goal of an investor is to establish an optimal investment risk structure which maximizes profits by incurring fewer losses at a certain level of market risk. This research aims to determine the accuracy of the CAPM and APT models in predicting stock returns, as measured using Mean Absolute Deviation (MAD).Design/Methodology –The methods employed is a quantitative approach. The population for this study includes companies included in the LQ45 index during the 2020-2022 period consisting of monthly observations spanning from January to December. A purposive sampling technique was used to select 30 sample companies. The reason for using the LQ-45 index is because this index is an index in which there are 45 issuers. Apart from that, the shares included in the LQ-45 calculation are considered to reflect the movement of actively traded shares which will influence market conditions, consisting of shares with high liquidity and market capability, as well as growth prospects and fairly stable financial conditions.Results –The MAD calculation shows that the APT model is more accurate than the CAPM model. The choice of model use can be adjusted to the preferences of each investor. CAPM is a forecasting model that only uses market return factors, making it suitable for investors who want to predict stock returns easily and simply. On the other hand, APT can be used by investors who want to know in detail what macro factors influence changes in stock prices.Research Limitations/Implications – Increasing the length of time that researchers spend doing their research is recommended in order to improve the accuracy of their forecasts about future stock returns.Novelty/Originality –This instrument is highly beneficial for investors who are looking for a clear and effective technique to anticipate the returns on their stock investments. Investors who want a detailed grasp of the precise macroeconomic issues that affect swings in stock prices may find that applying the Arbitrage Pricing Theory (APT) is useful.

Valuation of Stocks by Integrating Discounted Cash Flow With Imitation Learning and Guided Policy

The valuation of discounted cash flow (DCF) is one of the most appropriate methods to measure a company’s value, and it is also a fundamental method according to Warren Buffett to value a stock for investment. DCF analysis requires the estimations of the future free cash flow (FCF) and the weighted average cost of capital. However, these factors are often subject to an appraiser’s bias. To obtain a more objective DCF analysis, in this study, we develop a machine learning mechanism: imitation learning, which encompasses a teacher to demonstrate state-action pairs. To facilitate imitation learning, we adopt a guided policy search with the chronological order of a Levy distribution. This distribution can cover the stages of growth, decay, and long fat tail that correspond to a business life cycle. In this way, learning the trajectory of FCF can optimize the fitness between the FCF and the chronological order of a Levy distribution. The fitness achieved allows us to monitor the data by fitting the chronological order for the correct stage. The results show that regarding the Sharpe ratio and precision of DCF valuation, our approach outperforms the popular classification models -random forest and long short-term memory network. Code is available at https://github.com/YuanLongPeng/DCFValuation. <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Note to Practitioners</i> —Appraisers own knowledge for valuation of stocks to project FCFs and WACC. The knowledge has a broad spectrum, such as prospect of economic growth and competition in the industry. Threat of substitute products. This study proposed a method to automate the process of valuation by learning FCFs and WACC from data. The result of valuation is reproducible and free of the bias of appraisers.

Ohne Fleiß kein Preis – die deutsche Volkswirtschaft muss sich ihre Innovationsfähigkeit immer wieder neu erarbeiten

Abstract The medium-term prospects for the German economy give little cause for optimism. In addition, demographic change will intensify in the current decade. A brightening of growth prospects can therefore only materialise with stronger investment and greater innovation momentum. However, it will hardly be enough to directly promote this through economic policy interventions if the available pool of adaptable and skilled labour cannot be strengthened. This will require a wide range of economic policy endeavours.

Integrating Print on Demand into Omnichannel Retail Strategies: An Analysis of Efficiency and Growth Prospects

Integrating Print on Demand into Omnichannel Retail Strategies: An Analysis of Efficiency and Growth Prospects

Language attitudes: sociolinguistic aspect

Language attitudes are pivotal in shaping spheres of language use, impacting language change and policy. They reflect how communities perceive and value languages, influencing language choice, education, and social interactions. Studies on language attitudes explore preferences in language instruction, societal perceptions, and the potential for language discrimination. Positive attitudes can elevate language prestige, while negative ones may contribute to language decline. Loyalty to a language or a variety can resist influences from a dominant language, especially if a minority language prestige is high. The article comprises reviews on ‘language attitudes’ as a term, an overview of the history of research on the perceptions of a language, analysis of related changes occurring among speakers. The objective of the article is to provide a forecast for the future fate of Karelian, Kalmyk, and Yakut languages by analyzing language attitudes. The focus of the study was on the perceptions of a language held by members of a speech community, i.e., those who have no command of the studied language, as these perceptions were deemed highly significant. When the overall sentiment toward a language is positive, and speech community members recognize the importance of having at least a basic proficiency in it, the prospects for the language's growth appear promising. Such favorable attitudes may lead speech community members to actively encourage language study among their children or grandchildren or even decide to learn the language themselves later in life, creating a potentially fertile environment for a language to flourish.

The Impact of Digital Finance on the Survival and Growth of SMEs: Evidence from China

ABSTRACT This study investigates the impact of digital finance on the sustainability and expansion of small and micro-sized enterprises (SMEs) in China. The findings reveal that regional digital finance significantly improves SMEs’ prospects for survival and growth, particularly in terms of business income. Digital finance primarily facilitates SMEs growth by alleviating credit constraints, expanding online operations, and enhancing access to information and knowledge. This benefit is most pronounced for entrepreneurs with limited capital, and early-stage enterprises. However, this transformation necessitates higher prerequisites for regional traditional financial foundation and digital competencies. This paper contributes to a deeper understanding of how digital finance plays a crucial role in enhancing SMEs prospects in emerging markets.

Види цифрового бізнесу у сфері рітейлу

Analyzing various aspects of digital business in the context of European integration processes, it is substantiated that digitalization plays a key role in the modern economy, facilitating the transformation of traditional business approaches. It has been proven that European integration processes provide a powerful impetus for the development of digital business, opening new markets and promoting the establishment of unified standards in e-commerce, data protection, and consumer protection. This creates conditions for seamless cross-border interaction between companies and consumers, ensuring high competitiveness and innovative development. It is argued that the use of digital technologies and online platforms allows businesses to adapt to changing market conditions, optimize internal processes, and enhance customer satisfaction through personalized offers and high-quality service. At the same time, digital businesses face challenges related to the need to comply with regulatory requirements, ensure cybersecurity, and protect personal data. However, these challenges also encourage companies to innovate and seek new solutions for effective risk management. Overall, European integration processes significantly contribute to the development of digital business in Europe, opening up broad prospects for growth and international cooperation.