Growth Prospects Research Articles

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.

Fundamental Analysis Based on Earnings Per Share on Divident Payout Ratio to Determine the Prospects of Stock Investment in The Retail Sector

This study aimed to obtain a more specific and comprehensive explanation of fundamental analysis based on the EPS to DPR ratio in order to determine the prospects for stock investment in retail sub-sector companies. It was expected that readers or investors would gain knowledge and comprehension from the results of this study in order to facilitate their ability to analyze stocks using fundamental analysis in the form of EPS ratio and DPR. The methods used in this study were literature study and observation. Moreover, the data analysis techniques used were in the form of quantitative descriptive analysis and simple linear regression analysis. Furthermore, the financial reports of the stock issuers of MIDI, AMRT, RALS, MYOR, ACES, and CSAP for the 2016–2021 data period were the secondary data sources in this study. The results of this study demonstrated a positive and significant relationship between the impact of variable X (EPS) and variable Y (DPR). Moreover, these results suggested that the EPS and DPR values are strongly associated with determining the future prospects for stock investment in the retail sector. In addition, as a result of the EPS value increase, the DPR value will also experience a significant increase, thereby increasing stock prices and indicating good prospects for growth in stock investment. Therefore, this study may be used as a suggestion for BNI Sekuritas Yogyakarta to encourage customers or investors to invest in stocks in the retail sector, especially MIDI, AMRT, RALS, MYOR, ACES, and CSAP stocks

Addressing Digital and AI Skills Gaps in European Living Areas: A Comparative Analysis of Small and Large Communities

As Artificial Intelligence (AI) continues to permeate various aspects of societies, understanding the disparities in AI knowledge and skills across different living areas becomes imperative. Small living areas have emerged as significant contributors to Europe's economy, offering an alternative to the bustling environment of larger cities for those seeking an improved quality of life. Nonetheless, they often encounter challenges related to digital infrastructure, access to financial resources, and digital skills gaps, limiting their economic and social growth prospects. This study investigates the digital and AI skills gaps in the context of small and large European living areas, shedding light on the potential hindrances to unleashing the full economic and social potentials of these regions in an AI-enabled economy. Drawing from a comprehensive dataset encompassing 4,006 respondents across eight EU countries, this research examines the current perceptions and understandings of AI and digital skills within two distinct population groups: residents of smaller living areas and their counterparts in larger communities. Through bivariate analysis, notable insights are revealed concerning trust in AI solutions and entities, self-assessed digital skills, AI Awareness, AI Attitudes and demography variables in both population groups. These insights may refer to the significance of addressing digital and AI skills gaps in fostering growth and preparedness for the AI-driven future. As AI becomes increasingly integral to various aspects of society, targeted interventions and policies are essential to bridge these gaps and enable individuals and communities to harness the transformative potential of AI-enabled economies.

Unravelling the Key Drivers of Return on Equity: A Comparative Analysis of Infosys and TCS

The quest for higher returns on equity (ROE) has been an enduring concern for investors and stakeholders in the ever-evolving landscape of the global IT industry. Among the major players in this domain, Infosys and Tata Consultancy Services (TCS) stand out as two prominent IT giants that have consistently attracted significant attention from analysts and investors alike. This study presents a comprehensive comparative analysis of Infosys and TCS, with the primary objective of understanding and unravelling the key drivers behind their respective returns on equity. Using quantitative methodologies, this research delves into the financial and operational aspects of both companies. The information spanning throughout the years are examined to capture patterns and trends in the ROE of Infosys and TCS, aiming to recognize all the factors that contribute to the disparities in their respective ROE performance. This analysis explores profitability metrics, capital structure, asset utilization, and growth prospects, to decipher the underlying reasons for the differences in ROE between the two companies. The independent samples t-test will be employed for testing of the null hypothesis and to compare the means of the ROE for TCS and Infosys. A significance level of α = 0.05 will be used to determine statistical significance. The data for the study will be obtained from the annually published reports of Tata Consultancy Services and Infosys.

Growth and the Way Forward: a Study on Women Entrepreneurs of Kerala

The proliferation of microenterprises initiated by rural women has garnered significant attention as astrategy for generating employment opportunities and alleviating poverty across India, with a particularfocus on the state of Kerala. In order to fulfil their objectives, it is imperative for microbusinesses led byrural women, which are designed to alleviate poverty and generate employment opportunities, to sustainthemselves through the implementation of intelligent strategies. The present study represents a sincereendeavour to elucidate the progression, significance of training, and prospects of rural micro enterprisesestablished by women in the state of Kerala. The objectives of this study are to gain a comprehensiveunderstanding of the present status and growth of women entrepreneurs in Kerala, to evaluate theeffectiveness of institutions that facilitate the advancement of women entrepreneurs in Kerala, and to projectthe future potential of the female entrepreneurial community in Kerala. This descriptive study aims toexamine the evolution of women-owned businesses in Kerala prior to and during the process ofglobalisation. Additionally, it seeks to explore the training needs and future growth prospects of these firms.The present study is founded upon primary data collected from a sample of 420 registered women-ownedenterprises in Kerala. Additionally, secondary data has been sourced from various published materials, suchas journals, government publications, websites, and other relevant sources. The findings of the studysuggest that female entrepreneurs exhibit deficiencies in many managerial competencies that are crucial forthe achievement of organisational success. Hence, it is crucial that training programmes prioritise thedevelopment of managerial capabilities to effectively operate entrepreneurial entities, enhance managerialproficiency, and foster a sense of motivation towards attaining goals. The findings of this study are expectedto provide valuable insights for policymakers in formulating initiatives and policies aimed at fosteringindustrial development within the state. Specifically, the study focuses on the role of womenentrepreneurship and the strategic orientation required for such development.

Impact of AI Technology Disruption on Turnover Intention of Employees in Digital Marketing

The rapid advancement of AI technology has led to its integration into various sectors, including the digital marketing industry. As organizations leverage AI for tasks such as optimizing voice search content, creating conversational chatbots, and enhancing advertising campaigns, it becomes crucial to understand the impact of AI on employee perspectives and behaviors. This study aims to investigate employees' viewpoints regarding AI adoption in the digital marketing industry, specifically examining its influence on job insecurity, turnover intention, and job mobility. Job insecurity, stemming from concerns about AI rendering roles obsolete, is crucial to address for fostering a supportive work environment. Turnover intention, influenced by AI adoption and potential job dissatisfaction, provides insights into employees' commitment to the industry. Job mobility, affected by growth prospects and alignment with AI-driven workplaces, sheds light on career aspirations within digital marketing. This study addresses a significant knowledge gap regarding how employees envision the future of work and how this perspective influences their job-related behaviors. To bridge this gap, we conducted a study involving 303 employees in the digital marketing industry in India. Through structural equation modeling, we discovered that AI technology disruption influences employees' turnover intention, with job insecurity playing a mediating role. Additionally, our analysis revealed that mistreatment by superiors increases turnover intention, highlighting its impact on employees' decisions. Overall, this research unveils the profound impact of AI technology disruption in the digital marketing industry on employees' attitudes, behaviors, and future career decisions, providing essential insights into how employees perceive AI technology, particularly concerning job security and their engagement in the digital marketing sector.

The risk-adjusted performance of convertible venture contracts

We obtain additional insights on the risk-adjusted performance of convertible equity contracts widely used in the U.S., the diversity of venture capitalists (VCs) and their risk-return positioning. Our analysis uses a double-hazard agency framework in which VCs maximize the expected utility of their return from the convertible equity contract and the resulting Sharpe ratio incorporates both risks related to venture failure and valuation at exit. Theoretical results show that the convertible contract exhibits greater alignment with important venture characteristics relative to the pure-equity contract and provides a larger equity share to the entrepreneur as failure risk, VC productivity and development horizon increase, and when growth prospects and entrepreneur's productivity decrease. As failure risk goes to zero, it converges to the pure-equity contract. Our results further show that VCs with heterogeneous funding capacities and productivities can coexist in the venture finance market as they experience similar risk-adjusted returns. VCs with greater funding capacity can generate a competitive advantage by investing at later stages, which results in a higher Sharpe ratio and expected return from the convertible investment.

Enhancing Food Safety Measures in Micro Small Medium Enterprises: A Comprehensive Analysis of MSMEs in Kemiling Bandar Lampung

MSMEs in the food business, especially in Indonesia, encounter major obstacles in adhering to food safety requirements because of their restricted resources and technical knowledge. This study investigates the effects of applying Hazard Analysis and Critical Control Points (HACCP) methodology on enhancing food safety standards at a particular MSME, Desi Kue, situated in Bandar Lampung, Indonesia. The study uses surveys, interviews, and hazard analysis assessments to identify potential dangers and suggest effective management techniques to improve food safety processes at Desi Kue. Customized education and training programs are crucial for enhancing awareness and comprehension of food safety among MSME stakeholders. The report emphasizes the importance of adjusting food safety policies and resources to tackle the specific difficulties encountered by MSMEs. MSMEs can effectively adopt HACCP principles by working with regulatory organizations and industry associations. This will help improve consumer trust, ensure public health, and promote sustainable growth in the food sector. This study offers significant insights for Desi Kue and MSMEs in Indonesia and other developing countries, enabling them to capitalize on prospects for competitiveness and growth in the global market by implementing strong food safety management systems.

Share Price Sensitivity Towards Dividend Announcement on Nifty Listed Companies

Dividend announcement is one of the key factors that influences the fluctuation in the share prices. The dividend is the cost of capital to equity shareholders. In recent years the securities and exchange board of India (SEBI) has initiated a number of reforms to make the Indian stock market at par with developed stock markets of the world. Dividend signals information to investors about the firm’s future performance. The impact of dividend announcements on share prices is likely to vary depending on the specific circumstances of each company and the overall market environment. On the one hand, dividend announcements can signal to investors that a company is financially strong and has a positive outlook for the future. The purpose of this project is to observe whether dividend announcement has impact on share prices of the Nifty listed companies. The objective of this study is to know the impact of dividend announcement on share price in Nifty Listed Companies. In order to achieve the objective of the study, the secondary data was collected through NSE Website. After the data collection, the data was analysed using Paired t-Test. The major findings from the project are few of the companies show impact of Dividend Announcement while most companies don’t show impact of Dividend Announcement. So, it can be concluded that the overall, there is no impact of Dividend Announcement on Share price of Nifty Listed Companies. Investors should carefully consider a company’s overall financial health, dividend policy and long-term growth prospects before making investment decisions based on dividend announcements.

EXPORTING ACTIVITY IN RURAL REGIONS: DOES IT DIFFER FROM URBAN REGIONS? EVIDENCE FROM POLAND

Limited export potential can impede growth prospects. While core regions serve as hubs of globalization, the question remains as to how rural regions can increase their exports. By identifying the factors that enhance the export competitiveness of rural regions, particularly in comparison to urban regions, we can steer them towards sustainable development and overcome constraints related to remoteness. However, there is no simple or shortcut way of increasing exports in rural regions. It still requires long-term investments, improvements in human capital, inflows of foreign-owned entities, and advantageous operations of special economic zones. Social capital has a positive impact on exports at the regional level, but its effect could not be acknowledged in the subsets of regions. What should rural regions prioritise? Investing in human capital and promoting non-agricultural economic activities that have a greater impact on rural exports than urban ones.

Design and Diversity Analysis of Chemical Libraries in Drug Discovery.

Chemical libraries and compound data sets are among the main inputs to start the drug discovery process at universities, research institutes, and the pharmaceutical industry. The approach used in the design of compound libraries, the chemical information they possess, and the representation of structures, play a fundamental role in the development of studies: chemoinformatics, food informatics, in silico pharmacokinetics, computational toxicology, bioinformatics, and molecular modeling to generate computational hits that will continue the optimization process of drug candidates. The prospects for growth in drug discovery and development processes in chemical, biotechnological, and pharmaceutical companies began a few years ago by integrating computational tools with artificial intelligence methodologies. It is anticipated that it will increase the number of drugs approved by regulatory agencies shortly.

The Curious Case of Vodafone Idea Merger: Is It a Saga of Turbulence or a Move Towards Potence?

In January 2017, Vittorio Colao, the Vodafone Group CEO, and Kumar Mangalam Birla, the chairman of the Aditya Birla Group, announced a merger to form Vodafone Idea. The merger was expected to create a successful telecom company with the largest market share. Contrary to expectations, the merged entity kept struggling on various non-financial and financial business fronts. The current case discusses the motives for the merger, expected synergies, post-merger challenges and financial performance of the combined entity. The case presents the potential future strategies and a dilemma about the prospects of survival and growth of the newly created entity “Vi”.

A North-South Agent–Based Model of segmented labor markets: the role of education and trade asymmetries

Abstract Drawing upon the labour-augmented K+S Agent-Based Model (ABM), this paper develops a two-country North-South ABM wherein the leader and the laggard country interact through the international trade of machines. The model aims to address sources of asymmetries and possible converge patterns between two economies belonging to a currency union, that are initially differentiated only in terms of the education level they are able to ensure. Education is modeled as a macro-level public policy differently targeting three levels, that is primary, secondary and tertiary. After being educated, when workers enter the labour force, they face a segmented labour market, divided into three types of qualifications and resulting functions deployed inside firms, i.e., basic, medium and advanced occupations. The three markets are heterogeneous in terms of both requested education level and minimum offered wage. We experiment with different education and trade settings. Ultimately, we are interested in understanding the coupling effects of asymmetries in education, which reverberate in segmented labour markets and differentiated growth patterns. Notably, our focus on capital-goods trade, rather than on consumption goods, allows us to investigate a direct link between productive capabilities in complex products and country growth prospects.

An Analysis of the Growth of Corporate Tax in India

This paper examines a significant portion of the government's overall tax revenue which comes from the direct tax. The corporate tax makes up the largest portion of both the government's total tax collection and the direct tax, accounting for around 1/3 of both of the government's gross tax revenue. Studying the idea of corporate taxation, the rise in tax revenue, the expansion of the corporate assessment base, and the relationship between corporation tax and GDP are therefore crucial. This report provides insights into the growth prospects of corporate tax income and corporate assesses growth in India. In order to understand how sensitive corporation tax revenue is to the nation's GDP, this paper also discusses corporate tax buoyancy. The study has covered the period of 23 years from 2000-01 to 2022-23. The data has been taken from economic survey reports and the official websites of Income Tax, and Comptroller and Auditor General of India. The analyses of collected data have been carried out by using percentage, simple growth rate and compound annual growth rate.