Interests Of Investors Research Articles

A necessary condition for breakeven in dipole-confined plasmas

We have derived a necessary condition for the achievement of breakeven in axisymmetric plasmas with zero toroidal field and confined by a dipole magnetic field (B. Lehnert, Nature, vol. 181, 1958, p. 4605; A. Hasegawa, Comments Plasma Phys. Control. Fusion, vol. 11, no. 3, 1987). Excellent MHD stability, high values of $\beta$ (up to $26$ %) and good confinement properties awaken the interest of private investors after years of neglect due to lack of public funding and competing alternative lines of research like the tokamak. Starting from a requirement of self-consistency between the balances of momentum and energy in a dipole-confined, two-species plasma and assuming a Maxwellian distribution function for ions and electrons, we derive a necessary condition for breakeven. This condition is more stringent than the Lawson criterion because of the lack of a stabilizing toroidal field. For a given current flowing across the toroidal coil internal to the plasma, the crucial factor at stake is the ratio between the radius of the main toroidal coil and the radius of the vacuum chamber.

Strategi Pemasaran Berbasis Nilai-Nilai Entrepreneurship dalam Meningkatkan Investasi di PHRI Kabupaten Bandung

The main objective of this research is to identify and apply entrepreneurial values in marketing strategies to enhance investment in the hospitality and restaurant sector in Bandung Regency. The findings indicate that entrepreneurial values such as innovation, proactivity, calculated risk-taking, creativity, commitment to quality, collaboration, networking, and adaptability are crucial for effective marketing strategies. Strategies based on these values have proven capable of attracting investor attention and improving the competitiveness of the hospitality and restaurant sector in Bandung Regency. Innovation in products and services, proactivity in marketing, and a commitment to quality are key factors in attracting investment. The implementation of marketing strategies rooted in entrepreneurial values positively impacts investment growth and helps build the reputation and credibility of the Indonesian Hotel and Restaurant Association (PHRI) in Bandung Regency in the eyes of investors. The use of digital technology and social media in marketing strategies plays an important role in reaching a broader audience and attracting investor interest, enabling real-time measurement of marketing campaign effectiveness and strategy adjustments based on collected data. Recommendations for PHRI Bandung Regency include strengthening branding and innovation, enhancing collaboration and networking, optimal use of digital technology, continuous evaluation and adjustment, and improving quality and services. By applying these recommendations, it is hoped that marketing strategies based on entrepreneurial values will continue to develop and provide a sustainable positive impact on the hospitality and restaurant sector in Bandung Regency, increase investment, and reinforce Bandung Regency's position as a premier tourist destination.

Pengaruh Penggunaan Digital Banking dan Minat Investasi terhadap Pertumbuhan Ekonomi di Jawa Barat

The advancement of digital technology is experiencing rapid development at any time. The development of increasingly sophisticated technology has an impact on the development of all business sectors, one of which is digital banks. The purpose of this study is to conduct an in-depth investigation of the use and interest in investment in digital banks in the community in West Java. The method used in this study is a quantitative method. The results of the study show that the use of digital banks is more in demand while investment is still less popular because more transactions use online methods. This study concludes that the use of digital banks and investment interest have a simultaneous effect on economic growth.

THE ROLE OF THE PROSECUTOR'S OFFICE IN PREVENTING CORRUPTION IN PRIVATE INVESTMENTS: A CASE OF KAZAKHSTAN

Investment activities in the Republic of Kazakhstan are fraught with significant corruption risks, stemming from imperfect legislation and the intricacies of bureaucratic procedures involved in implementing investment projects. This article aims to investigate the role of the prosecutor's office in preventing corruption within the realm of private investment in Kazakhstan. To achieve this objective, an analysis of regulatory legal documents governing the prosecutor's office's mandate to safeguard the interests of private investors in Kazakhstan was conducted. Additionally, a content analysis of publications detailing successful cases of investor support within the prosecutor's office was undertaken. The study culminates in an evaluation of the effectiveness of this anticorruption mechanism as an alternative to the utilization of corrupt practices by private enterprises in their interactions with authorities. Keywords: corruption, investment, protection of investors, prosecutor’s office, anti-corruption mechanism.

Green hotspots? Unveiling global hotspots and shifting trends in carbon credit projects

AbstractThis study examines the spatiotemporal patterns of verified carbon credit projects from 2004 to 2022, utilizing data from the Gold Standard Foundation (GSF) registry and employing spatial autocorrelation (Moran's I) and hot spot analysis (Getis‐Ord Gi*) in ArcGIS Pro. South Asia and East Africa emerged as key hotspots for carbon credit projects. Hotspots transitioned from China, Brazil, Peru, Panama, and Cambodia (2004–2016) to India, Kenya, Rwanda, and Uganda (2017–2022) with Turkey remaining a hotspot throughout the period. Overall, the analysis reveals a statistically significant Moran's I of 0.07 and a z‐score of 3.04, indicating spatial clustering of projects and a less than 1% likelihood that the clustering is a result of random chance. The spatial pattern and types of projects align with socio‐economic conditions and environmental protection objectives in different regions. Domestic energy efficiency projects are prevalent, such as improved cookstoves, biogas digesters, and borehole technologies for safe water access. These findings prompt the deduction that socio‐economic conditions wield substantial influence on investor preferences in carbon credit projects. Hence, the study contends that the overarching goal transcends mere carbon emissions mitigation; it extends to elevating the socio‐economic well‐being of local populations. By pinpointing geographical hotspots and elucidating temporal shifts, this study equips stakeholders with strategic insights into investment in carbon credit projects and highlights evolving investor interests in the carbon credit landscape, bridging the gap between environmental objectives and socio‐economic imperatives.

Price Bubble and Co-bubble in the Green Economy Market

In light of growing concerns about climate change and environmental issues, investor interest has surged in the new green economy market. However, the existing literature is limited regarding potential price bubble and co-bubble within this new domain. This study examines price bubble and co-bubble in the new green economy market, covering 31 indexes classified into three groups: the green economy market and its components, geographical regions, and sectors. Using daily data from August 31, 2005, to May 31, 2024, a test procedure is first applied to detect periods of price bubble in the various indexes, then logistic regressions are employed to examine price co-bubble behaviours. The results show evidence of price bubble in the green economy market, particularly in solar and wind indexes, with peaks during the COVID-19 pandemic and Russia-Ukraine conflict, whereas the water index is the least prone to price bubble. Regarding geographical region, the USA market exhibits a higher tendency for price bubble than the Asian or European markets. Several sectors are resistant to price bubble. The co-bubble analysis reveals a strong reliance of wind index on price bubble in the solar and water indexes. Price bubble in Asia significantly influences price bubble in Europe and the USA. These findings have implications for investment portfolio management and risk management strategies in the new green economy market.

Digital health startups: growth financing and valuation drivers that signal strength for investors

PurposeThe study investigates the impact of various factors on the number of active investors in digital health startups. Through nine hypotheses, we examine the influence of metrics such as patents, online presence, financial aspects and company valuation on investor interest. The results reveal positive associations between these metrics and investor numbers, highlighting their role in signaling strength and attracting investment. This research enhances the understanding of investor valuation in digital health startups, emphasizing the importance of credible signals for building trust and securing funding. However, we acknowledge limitations in data analysis methods and suggest future research to explore industry signals, longitudinal trends and failed startups for comprehensive insights.Design/methodology/approachThis study delves into the design methodology and approach, aiming to fill gaps in understanding investor roles in valuing digital health ventures. We focus on deciphering factors driving valuations for these startups to secure growth financing. Using signaling theory, we investigate how entrepreneurs communicate their latent strengths to bridge information gaps, aiding investment decisions. We analyze a sample of 482 healthcare startups from the Pitchbook database using Poisson regression in SPSS.FindingsThis research sheds light on the factors driving investor interest in digital health startups. Despite the critical role of entrepreneurs in patient care innovations, the relationship between investor characteristics and funding for digital health technologies still needs exploration. We examine factors influencing investor valuation in healthcare startups and identify patents, social followers and financial disclosures as pivotal elements shaping investor interest. The findings show that all factors for active investors are significant for all variables except similar unique visitors.Originality/valueThese results significantly enhance our understanding of investor decision-making in digital health startups. They confirm the importance of various signals, like patent activity, online presence and financial performance, in attracting investor attention. We utilize unique data sources, offering insights into investors' behavior across different funding stages. In conclusion, these findings underscore investors' crucial role in the growth and funding of healthcare tech startups, emphasizing the need for robust signals to attract investment.

Identifying the Factors Influencing Youths Decision in Afghanistan for the Purpose of Smartphone Purchasing

The current study aims to investigate the variables influencing customer intent to purchase smartphones and to smooth the way and increase investor interest in investing in Afghanistan considering the identified factors (Subjective Norm, Personal Factor, Operational Factor, Software Performance, and Product Physical Features). Data was collected through a Google Forms structured questionnaire, which was developed from previous studies, using a 5-point Likert scale. This study determined that a sample size of 800–1000 respondents would be appropriate for the survey; 892 replies in all were gathered. The factor analysis test was applied to test the variables' validity. In the study, Binary Logistic Regression Analysis (LR) was performed to assess whether there is a significant relationship between smartphone purchasing decisions and the following factors: Subjective Norm, Personal Factor, Operational Factor, Software Performance, and Product Physical Features. The research showed that there is a significant relationship between the mentioned factors and smartphone purchase decisions. There are a variety of elements that influence consumers' intentions to buy smartphones, but subjective norms, personal factors, operational factors, software performance, and physical features are the factors that drive consumers to purchase.

Comprehensive evaluation of rural regional integrated clean energy systems considering multi-subject interest coordination with pythagorean fuzzy information

In the development of a comprehensive clean energy system in rural areas, how to evaluate it scientifically and effectively is an urgent problem to be solved. Artificial intelligence has already been widely applied in the field of energy technology, but its application in the comprehensive benefit evaluation is still insufficient. The purpose of this study is to conduct a comprehensive evaluation of the rural, regional integrated clean energy system with coordinated multi-subject interests. Firstly, the interest relationship between the subjects of the participating rural regional comprehensive clean energy system is analyzed. And, the comprehensive benefit evaluation index system is established based on farmers, rural grid, new energy investment operators, government and interest subject reciprocity partners. Secondly, Sugeno-Weber aggregation operators are more flexible and used to acquire smooth aggregated outcomes from a group of information in a single set. Moreover, an algorithm of the multi-attribute decision-making process also reveals the supremacy and reliability of the research work. A case study is established to evaluate the rural integrated clean energy system with coordinated multi-subject interests. The results are as follows. The index system reflects the characteristics of the comprehensive clean energy system in rural areas, such as environmental characteristics, economic characteristics, safety characteristics and clean energy characteristics. The advantages and validity of developed research work are proved by comparing the findings of pioneered approaches with existing mathematical operators. The ranking of suitable energy sources is Solar power > Biomass energy > Geothermal energy > Wind and hydropower based integrated clean energy system.

The Impact of Policy Quality and Political Stability on Foreign Direct Investment in ASEAN Countries: An Institutional Economics Analysis

This investigation pivots on the impact of policy quality and political stability on foreign direct investment within ASEAN countries. Both facets form essential components of a country's political risk profile; a lower risk profile, characterized by sturdy policy quality and political stability, tempts investors to channel their capital into preferred investment destinations. Our research employs a panel data regression analysis across seven ASEAN nations; Indonesia, Malaysia, Singapore, Thailand, Vietnam, the Philippines, and Brunei Darussalam, from 2012 to 2022. The Common Effects Model emerged as the optimal panel model during our study. We found that policy quality negatively impacts foreign direct investment, signifying that investments are perceived unprofitable due to the policy quality in the ASEAN region. In counterpoint, political stability has a positive effect, confirming that stable political circumstances in the ASEAN region draw investor interest. These significant findings validate that policy quality and political stability significantly sway foreign direct investment within ASEAN countries, making them crucial considerations for prospective investors.

The Influence of Attitude, Subjective Norm, and Behavioral Control on Investment Interest (Case Study on Students of the Faculty of Economics, UNISKA Kediri)

The Influence of Attitude, Subjective Norm, and Behavioral Control on Investment Interest (Case Study on Students of the Faculty of Economics, UNISKA Kediri)

What Are the Firm Value Implications of SEC-Challenged Shareholder Proposals?

The Securities and Exchange Commission (SEC) permits managers to request the exclusion of shareholder-initiated proposals. I construct a novel data set of excluded and withdrawn proposals from the SEC’s responses to managers’ requests. An examination of announcement returns to withdrawal and exclusion decisions demonstrates that SEC-challenged proposals are value destroying. I find that special interest investors pursuing self-serving agendas and retail investors advocating for one-size-fits-all reforms explain the value-destroying nature of SEC-challenged proposals. On average, the SEC challenge benefits firm value by filtering out these harmful proposals. However, a regression discontinuity design reveals that proposals the SEC refuses to exclude may receive majority shareholder support and destroy firm value. This paper was accepted by Suraj Srinivasan, accounting. Funding: I thank the Swiss Finance Institute for its generous financial support. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2022.01344 .

The The Influence of Financial Literacy, Risk Perception, Herding, Loss Aversion, Anchoring, And Income on Gold Investment Decisions at PT. Pegadaian (Persero)

The investment interest in Indonesia is rising in line with the society's awareness on the benefit of investment, especially gold investment. Investors act rationally or irrationally in making investment decisions. The aim of this research is to study the effect of financial literacy, risk perception, herding, loss aversion, anchoring and income to the decision of gold investment at PT. Pegadaian. This is a quantity experiment with the customer of PT. Pegadaian who used the gold investment as a population and sample of this research. Using the accidental sampling technique, there are 100 respondents. Data collection using a direct and online questionnaire. The Structural equation model partial least square method with the SmartPLS 3.0 software used to analyze the data collected. The results show that financial literacy affects investment decisions. Respondents have a fairly high level of education and moderately high association of financial literacy. While the risk perception, herding, loss aversion, anchoring and income are not affecting the investment decisions.

Evolving nature-based solutions for Australia’s Indigenous estate in 2024 – opportunities and challenges

Globally, there is growing interest and potential for investment in Nature-based Solutions (NbS) to protect, manage or restore ecosystems through incentive schemes including Payment for Ecosystem Services (PES), Nature Repair, Carbon Markets, Common Asset Trusts. Collectively, these NbS markets establish interchangeable mechanisms to help address biodiversity and climate crises, as well as socio-economic issues concerning many Indigenous Peoples and Local Communities (IPLCs). IPLCs manage and/or own almost 32% of the world’s land area through customary and community-based tenure arrangements. Since 2000 several PES schemes have been implemented in Australia. These schemes have been overwhelmingly implemented as public-good expenditure, with governments providing ~90% of total funding. Indigenous people have either the legal right to run or veto a carbon market or nature repair project over 57% of the Australian land mass, increasing to 63% in savanna and 85% in desert regions. Here we critically assess opportunities and challenges for Australia’s Indigenous estate associated with existing and emerging NbS market approaches, especially the Commonwealth’s current Savanna Fire Management (SFM) and Human Induced Regeneration methods, evolving Integrated Farm & Land Management (IFLM) and Blue Carbon methods, and proposed Nature Repair (NR) market. To date, Indigenous NbS interests have focused especially on SFM across northern Australia, with prospective opportunities especially for IFLM and NR markets. Most available schemes focus on remediation of degraded lands and seas, ignoring cost-effective investment opportunities to maintain habitats and ecosystems in less-degraded condition. Government-supported Common Asset Trusts can provide effective models for governance of stewardship schemes relevant to on-going care for relatively intact ecosystems. In Discussion we summarise key methodological, institutional, and policy opportunities and challenges for constructive Indigenous engagement with developing NbS markets. Our purpose is to provide an Indigenous land and sea management context to inform development of rapidly evolving NbS markets in Australia.

Prediksi Harga Crypto dengan Algoritma Jaringan Saraf Tiruan

Cryptocurrency has emerged as a crucial element in the global financial market, prompting investor interest in predicting prices for informed investment decision-making. However, the highly volatile nature of cryptocurrency prices has made trading in the crypto market speculative and laden with significant risks. Therefore, this study aims to apply Artificial Neural Networks (ANNs) using the Long Short-Term Memory (LSTM) algorithm to forecast cryptocurrency prices. This method leverages the ANN's ability to recognize complex patterns and trends in historical cryptocurrency price data. The research findings demonstrate significant accuracy levels for three types of crypto: BTC (86.86%), BNB (96.8%), and Doge (97%). Evaluation was conducted using the k-fold cross-validation method with k=5, where data was divided into five equally sized groups. Accuracy was computed by comparing actual prices with those predicted by the LSTM model. This evaluation approach provides robust insights into the LSTM model's effectiveness in predicting cryptocurrency prices, considering significant data variations. The predicted values from this study are BTC at $4306, BNB at $58.7, and Dogecoin at $0.037. These implications underscore the critical role of the number of epochs in influencing the performance and accuracy of cryptocurrency price predictions. Thus, this research is poised to offer deeper insights into cryptocurrency market behavior and provide practical guidance for investors to make more informed and measured investment decisions.

PENGARUH KEMAJUAN TEKNOLOGI (SOSIAL MEDIA), LITERASI KEUANGAN TERHADAP MINAT INVESTASI MAHASISWA FAKULTAS EKONOMI DAN BISNIS UNIVERSITAS MATARAM

Technology is a symbol of progress in the development of the era. Technology changes the pattern of activities in a person's daily life. Many people use and manage their finances online because of its convenience, starting from savings, buying and selling transactions, In the field of investment, there is a lot of fraud due to lack of knowledge and people who are easily tempted by the returns offered, these reasons underlie the need for each individual to understand financial literacy before taking investment action. The purpose of this study was to examine how Social Media and financial literacy affect investment interest of FEB UNRAM students. With 96 respondents, this study used an associative quantitative methodology using a questionnaire for data collection and SPSS program for data processing. The results showed that financial knowledge and technology (Social Media) have a positive and substantial influence on investment interest. Furthermore, technology and financial literacy factors have an influence of 35% of the total influence, while the rest is influenced by other variables.

INFLUENCE OF ISLAMIC SOCIAL REPORTING (ISR) DISCLOSURE ON THE QUALITY OF PROFITS IN REGISTERED COMPANIES IN JAKARTA ISLAMIC INDEX (JII)

Islamic Social Reporting (ISR) is one way to demonstrate full disclosure in an Islamic context. Earnings quality refers to the extent to which a company's reported earnings reflect its true economic performance. This research aims to determine the influence of the independent variable, namely Islamic Social Reporting, on the dependent variable, namely Profit Quality, and to find out how big it isThe influence of Islamic Social Reporting disclosure on Profit Quality in companies listed on the Jakarta Islamic Index. This research uses research methodsquantitative, associative approach, with field research. The data used in this research is in the form of company annual reports on the Indonesia Stock Exchange for 2019-2021. In collecting data, this research uses two methods, namely count analysis and dummy variables. The analysis technique used is simple linear regression. The results of this research show that the Islamic Social Reporting disclosure score is more than 59%, which means that the disclosures made have reached more than 48 disclosure score items. Meanwhile, the average value of earnings quality reached 2.8388. The results of the Spearman rank correlation test show that there is a fairly strong relationship between the Islamic Social Reporting variable and earnings quality. The results of testing the coefficient of determination show that the ability of the independent variable in this study to influence the dependent variable is only 9.9%. Furthermore, the partial test results show that Islamic social reporting disclosure has a positive and significant effect on earnings quality with a significance value of 0.008 <0.05. By implementing Islamic Social Reporting, companies not only focus on achieving maximum profits, but also pay attention to the social and environmental impacts of their business activities. This can attract the interest of investors, especially Muslim investors, to invest in the company.

Pengaruh Motivasi Investasi dan Pengetahuan Investasi Terhadap Minat Investasi Mahasiswa Fakultas Ekonomi dan Bisnis di Pasar Modal Melalui Galeri Investasi Universitas Nusa Nipa

This research aimed to investigate how Investment Motivation and Investment Knowledge affect the Investment Interests of students from the Faculty of Economics and Business in the capital market, using the Investment Gallery of Nusa Nipa University. The study utilized an associative approach with a causal relationship form and a quantitative approach. The population for this study comprised students from the Faculty of Economics and Business of Nusa Nipa University, with a sample size of 94 respondents. The data analysis involved multiple linear regression analysis using the Statistical Package for the Social Sciences (SPSS) version 23. The research results showed that (1) investment motivation positively influenced students' interest in the capital market through the investment gallery, (2) investment knowledge also had a positive influence on students' interest in the capital market through the investment gallery, (3) both investment motivation and investment knowledge simultaneously influenced students' interest in the capital market through the investment gallery.

Pengaruh Literasi Keuangan dan Pengetahuan Investasi terhadap Minat Investasi dengan Perilaku Keuangan Sebagai Variabel Intervening pada Gen Z di Kota Bengkulu.

This study aims to determine whether financial literacy and investment knowledge have a direct influence on investment interest, and to determine the effect of financial literacy and investment knowledge on investment interest through mediation of financial behavior. The research approach used in this research is associative. The type of data used in this research is quantitative data and the data source using primary data, namely research data obtained directly from the original source (respondents). The population in this study is generation Z in Bengkulu City. From the calculation using the formula (Hair et al, 2014) with a total of 150 respondents. This research data was processed using the smartPLS version 4 analysis tool and Smart-PLS is an alternative method of SEM analysis using partial least squares or partical last square (PLS). Dirrect Effect research results conclude that the first hypothesis of financial literacy affects investment interest, the second hypothesis of investment knowledge has a significant positive effect on investment interest, the third hypothesis of financial literacy has a significant positive effect on financial behavior, the fourth hypothesis is not supported because investment knowledge has no significant effect on financial behavior, the fifth hypothesis is not supported because investment interest has no significant effect on financial behavior. The research results of the indirect effect resulted in the sixth hypothesis not supported because, financial literacy directly has no effect on investment interest through financial behavior as an intervening variable, the seventh hypothesis is not supported because, investment knowledge directly has no effect on investment interest through financial behavior as an intervening variable.

Motivasi Investasi dan Pengetahuan Investasi: Kunci Penting dalam Mendorong Minat Investasi Mahasiswa Manajemen di Pasar Modal

This research aims to investigate the influence of investment motivation and investment knowledge on investment interest in the capital market (a study on Management students at the Faculty of Economics and Business, Universitas Negeri Gorontalo. The sample size consists 93 studets. The sampling method employs the slovin method, and the data type is primary. Date are collected using questionnaires and surveys. The research analysis testing employs multiple regresssion analysis, then analyzed using the SPSS 16 application The results indicate that, partially, investment motovation has an effect on investment interest, as shown by the Tcount of 5.047 > 1.986. Similarly, investment knowledge also influences investment interest, with an Fcount of 39.930 > 3.10. This means that investment motivation and investment knowledge simultaneously affect student’s Interest in investing in the capital market. The R Square value in this research is 0.470, indicating that the variables investment motivation and investment knowledge explain 47% of the investment interest variable, while the remaining 53% is influenced by other variables not explained in this research.