Higher Returns Research Articles

Portfolio Theory and COVID-19: A Quantitative Analysis of Investment Products

This study examines the analysis of different investment products after the COVID-19 pandemic, using portfolio theory, with the aim of exploring an optimal investment allocation, assuming that investors are rational and that there are no other contingencies that could affect the upward or downward trend of the investment products. Risk may be quantified and varies in practice. Investment risks are higher for financial instruments with higher volatility, but potential gains and losses are also more significant. Therefore, a person must take more risks to get a larger return on investment, and taking more risks should be rewarded proportionally with higher returns. This research can create a preliminary investment portfolio by thoroughly calculating and analyzing the real situation of various investment goods and by assessing various assets using the portfolio theory.

A Static-Dynamic Hypergraph Neural Network Framework Based on Residual Learning for Stock Recommendation

Stock ranking prediction is an effective method for achieving a high investment return and plays a crucial role in investment decisions. However, previous studies have overlooked the interconnections among stocks or have solely relied on predefined graphs for stock relationship information. The predefined graphs may not capture all possible relationships and may not be suitable for describing dynamic relationships. To address these issues, we propose a Static-Dynamic hypergraph neural network framework based on Residual Learning (SD-RL). Compared with traditional methods, SD-RL has the following advantages. (1) Stocks are no longer treated as isolated entities; instead, their static and dynamic relationship information is taken into account. (2) Leveraging the data-driven methodology, SD-RL autonomously learns both the static graph and dynamic hypergraph through dedicated graph learning and hypergraph learning modules, respectively. (3) By employing residual learning, various latent relationship information flows are mined, which enhances the stock embedding’s capacity to capture trends. Extensive experiments on the real data verify the effectiveness of our proposed methods.

US Medical-Legal Partnerships to Address Health-Harming Legal Needs: Closing the Health Injustice Gap.

The medical-legal partnership (MLP) model is emerging across the USA as a powerful tool to address the adverse social conditions underlying health injustice. MLPs embed legal experts into healthcare teams to address health-harming legal needs with civil legal remedies. We conducted a narrative review of peer-reviewed articles published between 2007 and 2022 to characterize the structure and impacts of US MLPs on patients, providers, and healthcare systems. We found that MLPs largely serve vulnerable patient populations by integrating legal experts into community-based clinical settings or children's hospitals, although patient populations and settings varied widely. In most models, healthcare providers were trained to screen patients for legal needs and refer them to legal experts. MLPs provided a wide range of services, such as assistance accessing public benefits (e.g., Social Security, Medicaid, cash assistance) and legal representation for immigration and family law matters. Patients and their families also benefited from increased knowledge about legal rights and systems. Though the evidence base remains nascent, available studies show MLPs to be associated with greater access to care, fewer hospitalizations, and improved physical and mental health outcomes. Medical and legal providers who were engaged in MLPs reported interdisciplinary learning, and healthcare systems often experienced high returns on investment through cost savings and increased Medicaid reimbursement. Many MLPs also conducted advocacy and education to effect broader policy changes related to population health and social needs. To optimize the MLP model, more rigorous research, systematic implementation practices, evaluation metrics, and sustainable funding mechanisms are recommended. Broader integration of MLPs into healthcare systems could help address root causes of health inequity among historically marginalized populations in the USA.

Balancing risk-return decisions by manipulating the mesofrontal circuits in primates.

Decision-making is always coupled with some level of risk, with more pathological forms of risk-taking decisions manifesting as gambling disorders. In macaque monkeys trained in a high risk-high return (HH) versus low risk-low return (LL) choice task, we found that the reversible pharmacological inactivation of ventral Brodmann area 6 (area 6V) impaired the risk dependency of decision-making. Selective optogenetic activation of the mesofrontal pathway from the ventral tegmental area (VTA) to the ventral aspect of 6V resulted in stronger preference for HH, whereas activation of the pathway from the VTA to the dorsal aspect of 6V led to LL preference. Finally, computational decoding captured the modulations of behavioral preference. Our results suggest that VTA inputs to area 6V determine the decision balance between HH and LL.

Binary options trading: A deep dive into user perspective and satisfaction

This study delves into the realm of binary options trading, a high-risk investment strategy, through the lens of user perspectives and satisfaction with the Binomo app. Binary options trading, characterized by its simplicity and potential for high returns, has seen a surge in popularity with the advent of online trading platforms. However, it also carries significant risks and legal implications. Through an analysis of 14,341 reviews of the Binomo app, this research uncovers key areas of user concern and interest, including aspects related to money, time, trading, and app functionality. The study reveals a prevalence of negative sentiments, highlighting potential issues of fraud, withdrawal problems, and overall dissatisfaction. Despite the high rating, the study underscores the need for prospective traders to understand the inherent risks and legal implications of binary options trading. The findings provide valuable insights for improving user experience, enhancing transparency and security, and fostering trust among users.

Shares Valuation with Fundamental Analysis in Investment Decisions (Study of Companies Listed on the Indonesian Stock Exchange for the 2022 Period)

Shares are a very popular investment product today. Moreover, shares can achieve very high returns compared to other investment products. However, shares are also closely related to investment risk. Therefore, to avoid the risks of investing in shares, you should develop various strategies before buying shares. The method used in this paper is quantitative descriptive. Determining the sample in this study used a Purposive Sampling technique with the criteria of food and beverage companies that were consistently listed on the IDX and distributed dividends to their shareholders in 2022, thus obtaining 5 sample companies, namely MLBI, AALI, ULTJ, INDF, MYOR. The data collection technique is by using documentation analysis. And the data analysis technique uses manual calculations using the stock assessment formula TATO, ROE, EPS, CR, DER, DPR, and the PER and PBV share price assessment formulas. Based on fundamental analysis and stock price assessment, these 5 food and beverage companies are worthy of investment. But the INDF company is the most worthy company to invest in. Even though the ROE is relatively low (10%), the INDF company's PER is below 15x (6.04) indicating that the share price is still considered cheap by investors.

A cost benefits analysis of the adoption of system of rice intensification: Evidence from smallholder rice farmers within an innovation platform in Oluch irrigation scheme, Kenya.

In the wake of climate change and dwindling natural resources, system of rice intensification has been fronted as an approach to improve rice production in several countries. Besides the benefits such as improved rice productivity, reduced water usage that have widely been observed, there is need to quantify the economic benefits of system of rice intensification accrued to farmers, thereby promoting it as an innovation to improve livelihoods of rice farmers. This aim of this paper is to quantify the economic benefits of undertaking SRI among smallholder rice farmers. We introduced SRI among smallholder farmers in a rural setting in western Kenya, Oluch irrigation scheme, through an innovation platform approach. Over the period of four years (2016-2019), we quantify the benefits accrued to the uptake of the technology among adopters of the technology. Our comparisons are in reference to a baseline study conducted prior to the full-scale promotion of SRI in the study area. Our study findings reveal that the uptake of specific SRI practices increased by at least 30-80%, and acreage under rice farming increased by 50%. Besides, SRI required more production costs per acre (63% increase), although SRI had at least 28.6% higher return per shilling invested. Our findings underscore previous results in the literature that SRI is associated with not only productivity but also economic benefits justifying the need for scaling especially among smallholder farmers. Nonetheless, efficient approaches to scaling such promising technologies are necessary to enhance productivity and subsequently improve livelihoods.

ЕКОНОМІЧНА СУТНІСТЬ РИЗИКІВ ІНВЕСТИЦІЙНОЇ ДІЯЛЬНОСТІ В ГОТЕЛЬНО-РЕСТОРАННОМУ БІЗНЕСІ

The article examines the approaches of scientists to the definition of the essence of the concept of "investment risk" as an economic category, a morphological analysis was carried out in order to highlight the essential features and clarify the key concepts, which are probability, uncertainty and totality. From the considered definitions of the concept of "risk", we can conclude that risk is the possibility of danger for the enterprise, loss of profit, the cause of which is a lack of information, which leads to unforeseen events of a negative nature for the enterprise. A content analysis of the concept was carried out, where the numerical expression of keywords is obtained. The conducted analysis showed that there are many examples and definitions of investment risk, which are the same in essence, but different in content, because each author interprets it differently. The scores of similar keywords are summarized, those with the highest scores are considered the most significant keywords and phrases. A proper definition of "investment risk" is proposed as the probability of unforeseen losses, which threatens the enterprise with receiving monetary losses, loss of capital and making balanced decisions. It is proposed to introduce the main criteria for making investment decisions, as well as to reduce costs in the face of risk reduction for investors such as: the presence of viable alternatives to investing in large sums; short term of capital investments; low cost of the project; ensuring the stability of income from the project; high return on investment after discounting; remove information to provide reliable data about the investment project, divide the risk with other enterprises and bankers who insure the investment with an insurance company; expand the number of experts who praise investment decisions. How to change the quality of the inheritance of the rhizic plant. Ensure a thorough selection of project participants (preferably on a competitive basis; selection should be based on an analysis of competitive proposals, taking into account the recommendations of independent individuals and organizations. With the help of a combination of indicators, the investor can praise the decision for the benefit of one or another, investment project.

Approaches for the companies’ promotion in the modern business environment

In today's competitive market, promoting goods and services online is crucial to most companies' business strategies. Therefore, it's essential to understand and systematise digital marketing tools' principles, advantages, and disadvantages to optimize marketing strategies effectively. These tools allow businesses to adapt to market changes quickly, ensuring efficient use of the advertising budget and high returns on investment. Additionally, Internet marketing enables the creation of personalised approaches to customer interaction, boosting their loyalty and satisfaction. Internet marketing, or digital or online marketing, includes all activities promoting goods and services via the Internet. It involves using various online channels and platforms to interact with the target audience to increase brand awareness, sales, and customer loyalty. This article examines the unique aspects of using digital marketing tools and how to optimise their application. By analysing the theoretical and practical principles of modern digital marketing tools, the study categorises the benefits and drawbacks of various digital marketing techniques. The paper analysed the dynamic growth of Internet users worldwide and in Ukraine. The growth in Internet users is driving the development of digital marketing in Ukraine. Brands are actively implementing modern marketing technologies, such as SEO, SMM, content marketing, contextual advertising and email marketing, to reach their audience. The primary tools examined include Search engine optimisation (SEO), Content marketing, Social media marketing (SMM), Contextual advertising (PPC), Email marketing, Video marketing, Mobile marketing, and Influencer marketing. The authors stress the importance of using artificial intelligence to personalise marketing campaigns' target audiences. Automation allows companies to plan and execute marketing campaigns in advance, ensuring efficient management of time and resources, particularly for large companies with extensive marketing networks. The authors concluded that modern marketing technologies based on artificial intelligence and automation are the key to successful online brand promotion, ensuring the competitiveness and efficiency of businesses in the face of constant change.

Analyzing the Day of the Week Effect: A Study on Stock Market Returns

The study investigates the Day of the Week (DOW) effect on stock market returns in Malaysia, Indonesia, and the Dow Jones Islamic Market Index (DJIM). Utilizing GARCH models to examine stock return volatility, the study identifies significant calendar anomalies in stock returns, particularly lower returns on Mondays and higher returns on Fridays. These findings challenge the Efficient Market Hypothesis (EMH), suggesting predictable patterns in markets, particularly in emerging economies. This research provides insights into investor behavior and trading strategies, offering practical implications for market practitioners and academics.

ВПЛИВ ПІІ НА ЗАЙНЯТІСТЬ В УМОВАХ ЦИФРОВІЗАЦІЇ ЕКОНОМІКИ: ПРИКЛАД КИТАЮ

The paper investigates how the evolution of the digitalization of economies alters the influence of foreign direct investment (FDI) on employment, using China as a case study. The study focuses on China, the largest developing economy, which has a significant influence on other economies, including Ukraine. With technological shifts demanding more skilled labor, particularly within the rapid growth of the digital economy, new pathways emerge regarding how foreign investment affects the host country's job market. The development of the digital economy can reduce the costs of information retrieval, production, transactions and delivery, etc. Beyond altering organizational practices, digital technologies also impact broader social dynamics. Understanding and leveraging digital transformation require consideration of both dimensions. To examine these aspects, a set of indices was employed, estimating digital economy development through entropy estimation and the coefficient of variation. These measurements formed the basis for a digital economy development index, utilizing indicators from four digitalization sectors: digital infrastructure, industry, innovation, and tool utilization. An empirical regression model integrated multiple indicators, such as employment rate, GDP, FDI, digitization coefficient, human capital, export rates, wages, and the proxy of interaction between FDI and the economy's digitization coefficient. Different sectors and regions within China were separately studied. Analyzing panel data across 30 Chinese provinces from 2001 to 2021 revealed that increased digitalization amplifies the positive impact of FDI inflows on domestic employment. Notably, this effect is more prominent in the service sector than in manufacturing, and it's relatively stronger in the less developed western provinces compared to the eastern and central ones. As the digital economy in the western regions is less mature, investments there yield relatively higher returns. These findings support the notion that employment grows alongside rising FDI inflows. However, it's crucial to highlight that digitalization increasingly shapes the intensity of FDI's influence on employment.

Influences of Policies and Language of Communication on Achievement Level of Extension Services among Crop Farmers in North-eastern Nigeria

Extension services are intended to promote “agricultural development” by enhancing farmers’ technical expertise, farm management abilities, and an efficient information system. This will ultimately lead to increased production, higher returns on investment, and a long-term boost for the local, national, and international economies. Little or no success information was recoded in terms of extension policies and language of communication used by extension workers in Nigerian context. Effectiveness of these policies and language of communication used in the implementation of extension services for crop farmers was not much available. To achieve this, there is need to study the factors influencing the achievement of extension services among crop farmers. Correlation and regression model were used to achieve the cause-effect analysis among the policies and language of communication in influencing crop farmers on the achievement of extension services in North-eastern Nigeria. The findings revealed that the relationship between policies and language was positive and highly significant (p<0.05) among the crop farmers on achievement of extension services. Language of communication recorded the strongest (r = 0.739) relationship. The cause-effect relationship between the variables further showed that policies and language of communication significantly (p<0.05) affected achievement of extension services among crop farmers. The regression model was significant with an R-value of 0.755. In this respect, the current study concludes that language of communication of extension workers influences the achievement of extension services delivered to crop farmers in North-eastern Nigeria.

Response of Direct Seeded Rice Under Different Formulation of New Generation Herbicides on Growth And Yield

A field experiment was conducted during kharif season of 2022 to evaluate the growth and yield response of direct seeded rice under different formulation of new generation herbicides. The results revealed that, pre emergence application of bensulfuron methyl 0.6% + pretilachlor 6% GR @ 10 kg ha-1 on 7 DAS fb hand weeding on 40 DAS recorded broad spectrum of weed control. The highest crop growth attributes (tillers/hill, leaf area index and total dry matter), yield attributes (productive tiller, filled grains/panicle, panicle weight) and grain yield (6670 kg ha-1), net returns (Rs.94991 ha-1) and the highest returns per rupee invested (Rs.2.77) were recorded in pre emergence application of bensulfuron methyl 0.6% + pretilachlor 6% GR @ 10 kg ha-1 on 7 DAS fb hand weeding on 40 DAS, which was best broad spectrum effective herbicide in order to minimize the diverse weed flora in direct seeded rice.

Stock Portfolio Optimization with Support of Python

: Securities business activities are understood as the activities of organizations, individuals, securities companies, stock brokers and other intermediary financial institutions in the stock market to perform operations. Securities trading aims to make a profit. A common task in portfolio management is to find the optimal investment portfolio according to the return and risk approach, that is, for the same level of risk, portfolio whose highest return gives is the optimal investment portfolio. Similarly, corresponding to the same predetermined rate of return, the portfolio with the lowest level of risk is the optimal investment portfolio. There are several popular data analysis tools today, including Python. This article will demonstrate the application of Python tools in data analysis to determine optimal stock investment portfolios.

Research on Stock Market Decision Making based on Price-to-Earnings Ratio–Taking Shenzhen stock as an example

Taking Shenzhen stock as an example, this paper explores the opportunity for high returns in the stock market through the study of the price-to-earnings ratio, and finally determines the optimal stock market decision. By trying different numerical value on the price-to-earnings ratio and calculating the total return based on historical data, it is obtained that buying when the price-to-earnings ratio is lower than 156 and selling when it is higher than 224.5 can get the highest return. However, in the following general study of high-yield decisions, it is found that all decisions are concentrated in the rapid rise in stock prices caused by “reform cattle” in 2015 in China. Therefore, in order to study more general strategies, the scope and difference of price-to-earnings ratio are redrawn and two feasible decision-making methods are obtained: risk-averse decision-making and risk-preference decision-making. Both two decisions are suitable in a relatively stable stock market, and can earn almost the same profit theoretically, so investors can choose any of them based on their preferences.

БИОТОПЛИВО КАК ИМПУЛЬС ДЛЯ РАЗВИТИЯ ОРГАНИЧЕСКОГО СЕЛЬСКОГО ХОЗЯЙСТВА

The modern economy has largely exhausted other reserves for improving the efficiency of production and economic activities, except for saving costs and increasing the return on any resources involved in technological processes. Agriculture is experiencing particular difficulties in ensuring its own economic efficiency due to its high dependence on uncontrolled natural conditions and the volatility of the markets for its products. This makes the issue of resource conservation particularly relevant for this sector of the economy. The article considers the possibilities of switching agricultural production to full or partial energy supply due to energy carriers of biological origin, in particular, fuels obtained from industrial waste or from plant raw materials. Both the advantages of such technologies and the factors that hinder their implementation and development in Russian conditions have been identified. The ecological importance of biofuels is simultaneously to reduce hazardous emissions into the atmosphere, save non-renewable resources and recycle waste, which makes it more attractive in the current economic conditions and taking into account the observed environmental problems. As a result, the directions have been formulated in which active actions of government agencies will be required to accelerate the transition to biofuels. Conditions have also been identified that must be observed if stakeholders, including pro-government structures, are interested in expanding the use of biofuels and related technologies in the country's economy. At the same time, a number of advantages of agriculture as an economic sector with great potential and high potential returns from the introduction of such technologies are pointed out.

A research on the detection of some phytochemical properties in the fruits of passiflora species

Passiflora belongs to the Passifloraceae family and is native to South Africa. Thanks to its health benefits, it is now commonly grown in tropical and subtropical regions. This fruit gathers attention, especially for its rich nutritional content, aroma, and taste. Passiflora has gained popularity in the Mediterranean region of Turkey, particularly in recent years. It stands out for its ease of maintenance, yielding twice a year, and high economic returns. Additionally, passiflora is used as an ornamental plant in landscaping arrangements by means of its showy flowers and is often referred to as the “passionflower” or “clock flower”. In this study, the fruits of P. edulis and P. caerulea species were examined for their phytochemical properties, such as DPPH, total phenol, sugar, and organic acid. DPPH (2,2‐diphenyl‐1‐ picryl‐hydrazyl‐hydrate) and total phenol were analyzed using a spectrophotometric method, while sugar and organic acid were analyzed using HPLC.

Constraints and Opportunities for the Sustainable Aphid Pest Management in Leaf Cabbage

During and post COVID 19 era, there has been an increase in the use and production of garlic (Alium sativum L.) the world-over for its medicinal value. Garlic has been used as a remedy to cure the pandemic flu-like ailment. Garlic has been used since 1550 B.C. as a remedy for a numerous ailments (So et al., 2021). In agriculture, garlic extracts are reported to have been used as pesticide or fungicides in crop protection against aphids, ants, soil bacteria, and fungi, particularly those in the class Oomycetes. Garlic is a relatively new crop in Zimbabwe. Farmers need demonstrable advantage of incorporating garlic as an inter-crop to facilitate growth of crops susceptible to aphid such as leaf vegetable in terms of Land Equivalent Ratio (LER) and Monetary Advantage Index (MAI). Land is predominantly a constraint in farming, so farmers seek to produce high yields per given area. High monetary return on the other hand, is the ultimate objective of farming since agriculture is a business. LER and MAI among other indices need to be considered for selection of an inter-crop crop.

The 52-Week High, Downside Risk, and Corporate Bond Returns

The 52-Week High, Downside Risk, and Corporate Bond Returns

Developing a Sentiment Analyzer Using ChatGPT for a Stock Market

Today, an important problem of financial successis to find effective trading approaches that can adapt to rapidly changing market conditions and ensure high investment returns. Based on the literature analysis, ChatGPT is identified as a promising technology that is more effective than FinBert in being used as a component for conducting sentiment analysis of stocks. The research also shows satisfactory efficiency and productivity of ChatGPT. Existing sources do not provide a detailed description of the automation of the sentiment analysis process and testing of the ChatGPT model on big data. The purpose of the performed research is to develop an automated system for sentiment analysis based on ChatGPT with an integrated news aggregator for collecting and analyzing financial data.The study details the creation of a comprehensive solution sketch. A plan is presented that covers the entire range of the proposed system. A preliminary application architecture has been developed that provides a visual and structural representation of how the various components of the solution interact and function in a coordinated manner. This architectural plan serves as a roadmap for the implementation and deployment of the automated sentiment analyzer, ensuring clarity and accuracy in its design. Initial diagrams of the relationships between the entities in the system have been developed and an algorithm for the system has been proposed. Further research will focus on creating a minimum working system for the sentiment analyzer and evaluating its efficiency and quality of work.