Context Of Investment Research Articles

Like daughter, like father: Female socialization and green equity investment

Are parents' decisions to invest in green equity funds influenced by their daughters? According to the recent literature on female socialization, parenting a daughter is expected to have a positive impact on parents' investment in green equity funds. Based on an original survey among 2288 French investors, we validate the female socialization in a retail investment context. Raising a daughter increases the likelihood of investing in green equity funds by about 3.87 % on average. Consistent with the female socialization hypothesis, this effect only stands for male parent investors, when daughters are still in the household and is not significant for separated fathers. Moreover, the amount invested is also significantly influenced by being a parent of a daughter. Our results support the need to better consider the influence of family members in investment in household finance decision-making and the side effects of education on environmental issues.

ANALISIS DAMPAK PENGGUNAAN CRYPTOCURRENCY TERHADAP PERTUMBUHAN EKONOMI ISLAM DI INDONESIA

This research aims to gain a better understanding of cryptocurrencies, including their working mechanisms and impact in economic and investment contexts. Apart from that, this research also wants to evaluate the potential consequences of the government’s lack of seriousness regarding the spread of cryptocurrency in Indonesia. The method used is a qualitative descriptive approach with normative aspects, including risk analysis and potential profits from investing in cryptocurrency. This research covers the spread of cryptocurrencies across Indonesia and the risks associated with their use. It is hoped that the results of this research will provide a deeper understanding of how cryptocurrencies work, their impact, and the role of governments in regulating their spread. Therefore, this research will provide important information for the government and society in making decisions regarding the regulation and use of cryptocurrency in Indonesia.Keywords: Cryptocurrency; Investment; Islamic Economics

Unveiling the digital desire: UTAUT analysis of NFT investment intentions in Malaysia

PurposeThis study pioneers the investigation into the determinants influencing Malaysian investors' intentions towards Non-Fungible Token (NFT) investments, utilizing an extended Unified Theory of Acceptance and Use of Technology (UTAUT) framework. It explores the burgeoning interest in NFTs within the Malaysian market, an emerging economy, and identifies the behavioral adoption determinants critical for NFT investment decisions.Design/methodology/approachAdopting a quantitative methodology, the research engaged 183 experienced Malaysian investors through a structured online questionnaire survey. The study employed regression analysis to assess the impact of Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Perceived Usefulness, Social Support and Perceived Trust on NFT investment intentions.FindingsThe findings reveal that Performance Expectancy and Social Support significantly predict the intention to invest in NFTs, accounting for 47% of the variance in investment intentions. The study highlights the crucial role of perceived benefits and community support in shaping Malaysian investors' engagement with NFTs, amidst the complexities of the digital asset landscape.Research limitations/implicationsThe study acknowledges the limitation posed by its sampling method and size, suggesting the need for broader investigations that include a more diverse demographic to enhance the generalizability of the findings. Future research could further delve into the specific behaviors, motivations and challenges of NFT investors and creators.Practical implicationsThe significant predictive power of Performance Expectancy indicates a primary financial motivation among Malaysian NFT investors, suggesting policymakers consider regulations that foster innovation and growth in the NFT sector while safeguarding investors. The study also underscores the importance of community support, pointing towards the development of platforms that facilitate knowledge sharing among NFT enthusiasts.Social implicationsBy demonstrating the pivotal role of social support in the NFT investment decision-making process, the research implies a powerful sense of community among investors in the digital asset space. It suggests the potential of NFTs to foster a more inclusive and accessible market for creative industry entrepreneurs, facilitating direct engagement and profit realization.Originality/valueThis research marks a significant departure from existing studies by tailoring the UTAUT model specifically to the NFT investment context in Malaysia. It unveils the nuanced dynamics influencing NFT investment intentions, emphasizing the unique contributions of Performance Expectancy and Social Support, thus providing a fresh perspective on NFT adoption in emerging markets.

Portfolio Design Beta, Alpha, Variance on Inconsistent Stocks in Indonesia LQ45 Index

Optimal portfolios have become a major concern in finance, especially in the investment context. This research aims to explore the concept of an optimal portfolio by applying beta, alpha, and variance methods, as well as considering active and passive strategies. The background of this research involves the ever-evolving complexity of financial markets, where investors are challenged to create portfolios that can provide optimal returns with acceptable levels of risk. This research aims to identify and analyze the factors that influence the formation of an optimal portfolio. The methods used include beta measurement as a measure of systematic risk, alpha calculation as an additional performance measure, and using variance to measure portfolio volatility. Active and passive strategies are then applied to understand the impact of strategy choices on portfolio performance. The findings of this research highlight the importance of understanding market dynamics and effective strategies to achieve investment goals. This research provides in-depth insight into how to use beta, alpha, and variance methods in an integrated manner to design optimal portfolios with strategies that suit investor preferences and goals. The contribution of this research lies in presenting a comprehensive framework for developing optimal portfolios, combining elements of active and passive strategies. The results of this research can provide practical guidance for investors in making more informed investment decisions and can improve their portfolio performance.

2023 State of the industry report on investment and development of space solar power

Space solar power is an old idea. From its initial suggestion in the 1940s to the first practical concept by Dr. Peter Glaser in 1968, it has been analyzed, studied, and refined many times. Multiple government institutions, including NASA, JAXA, ESA, and CAST have invested significant funds into developing direct space solar power research. In parallel to these direct studies, considerable investment has also flowed into enabling technologies that serve as the cornerstone of current space solar power development concepts, including space solar panels, space hardware manufacturing, low-cost launch, wireless power transfer, robotic assembly, and swarm monitoring/control. In the last few years, space solar power concepts and studies have received increased funding, including non-governmental funding showing a strong positive growth trend. Multiple reports in 2021 and 2022, including from this author, have found that while space solar power has been technically feasible for decades, falling launch and hardware costs have only recently made it economically viable as well. Despite these findings, translation from economic feasibility to economic reality will require additional high-value investment.Sourcing these new funds requires investment context. This technical paper will present a state of the industry report on space solar power, including the total and source distribution of historical investments. It further contextualizes the investments in space solar power with the scale of investment in key technologies and their current technology readiness levels. The methodologies developed for this report and the data sourced are intended to serve as a catalyst, alongside industry feedback, to create a template for ongoing reporting of this growing market sub-sector and ultimately drive the full deployment of this technology.

Applying Design Thinking to Develop AI-Based Multi-Actor Decision-Support Systems: A Case Study on Human Capital Investments

Artificial intelligence, particularly machine learning, has revolutionized organizational decision-making processes by assuming many decision responsibilities traditionally allocated to humans. In this scenario, decision-support systems based on AI have gained considerable relevance, although the attitudes of managers toward intelligent agents are still unbalanced towards human intervention in decision-making. An additional level of complexity arises when the development of these systems occurs within the context of investments in human capital, such as startup funding or organizational development. In this field, decision-making becomes even more critical, since it implies the will, goals, and motivations of every human actor involved: the investors and those seeking investments. termed multi-actor decision-making, this process involves multiple individuals or groups of individuals who, starting from non-coincident objectives, must reach a mutual agreement and converge toward a common goal for the success of the investment. Considering these challenges, this study aims to apply the design thinking technique as a human-centered methodology to support the design of an AI-based multi-actor decision-support system, conceived by Mylia (The Adecco Group), in the field of organizational development. Additionally, the integration of strategic organizational counseling will be introduced to facilitate the modeling of internal DM processes within the provider organization, enabling the seamless flow of internal behaviors from the decision-support system’s conceptualization to its integration in the external market.

NPV, IRR, PI, PP, and DPP: A unified view

This paper introduces a class of investment project's profitability metrics that includes the net present value (NPV) criterion (which labels a project as weakly profitable if its NPV is nonnegative), internal rate of return (IRR), profitability index (PI), payback period (PP), and discounted payback period (DPP) as special cases. We develop an axiomatic characterization of this class, as well as of the mentioned conventional metrics within the class. The proposed approach offers several key contributions. First, it provides a unified interpretation of profitability metrics as indicators of a project's financial stability across various economic scenarios. Second, it reveals that, except for the NPV criterion, a profitability metric is inherently undefined for some projects. In particular, this implies that any extension of IRR to the space of all projects does not meet a set of reasonable conditions. A similar conclusion is valid for the other mentioned conventional metrics. For each of these metrics, we offer a characterization of the pairs of comparable projects and identify the largest set of projects to which the metric can be unequivocally extended. Third, our study identifies conditions under which the application of one metric is superior to others, helping to guide decision-makers in selecting the most appropriate metric for specific investment contexts.

Kelly Criterion Extension: Advanced Gambling Strategy

This article introduces an innovative extension of the Kelly criterion, which has traditionally been used in gambling, sports wagering, and investment contexts. The Kelly criterion extension (KCE) refines the traditional capital growth function to better suit dynamic market conditions. The KCE improves the traditional approach to accommodate the complexities of financial markets, particularly in stock and commodity trading. This innovative method focuses on crafting strategies based on market conditions and player actions rather than direct asset investments, which enhances its practical application by minimizing risks associated with volatile investments. This paper is structured to first outline the foundational concepts of the Kelly criterion, followed by a detailed presentation of the KCE and its advantages in practical scenarios, including a case study on its application to blackjack strategy optimization. The mathematical framework and real-world applicability of the KCE are thoroughly discussed, demonstrating its potential to bridge the gap between theoretical finance and actual trading outcomes.

The Rise of Environmental, Social, and Governance (ESG): Assessing the Impact and Implications for Global Business Practices and Policy Formulation

Increased awareness of environmental, social, and governance (ESG) issues has brought about significant changes in global business practices. Companies now face pressure to integrate ESG aspects into their strategies and operations, in line with the demands of consumers, investors, and regulators. In this context, the role of ESG in shaping public policy and market dynamics is becoming increasingly important, influencing investment decisions and business continuity. This research aims to assess the impact and application of ESG on global business practices and policy formulation. This research uses a qualitative approach, with data obtained from the results of previous research and related studies, and content analysis was carried out to process the data. The results of this research show that integrating ESG into business strategy is not just ethical, but is also critical to achieving long-term success. The impact of ESG on consumer preferences and markets has driven companies to innovate and adapt their operations. ESG-related public policies and regulations encourage collaboration between sectors and influence cross-border business operations. In the investment context, ESG has become an important factor in portfolio management and financing decisions. Overall, ESG has become an important catalyst in shaping the future of sustainable and responsible business.

Investigating the political and regulatory context of corruption and foreign direct investment in post-Soviet countries

Investigating the political and regulatory context of corruption and foreign direct investment in post-Soviet countries

Research on the Pension Investment and Asset Management

The study explored how to develop a pension investment portfolio and analyzed solutions for special cases. We first reviewed the global context of pension investment and emphasized the crucial role of pension in financial planning. Subsequently, we specifically analyzed the "firefighter case" and decided whether to choose "one-time payment" or "fixed benefits". Finally, specific results were provided and some suggestions were given. In addition, we emphasize the importance of individual risk tolerance and investment goals in formulating investment strategies to ensure that investment portfolios match individual needs. Through the guidance of this study, investors can learn how to manage their pension investments and achieve long-term financial security and robust retirement plans. The diversity and effective management of pension investment portfolios are crucial for the success of pensions, and this is worthy of careful consideration and action by every investor.

The Application of the Markowitz Model for Portfolio Optimization in High-End Companies

This study investigates the application of the Markowitz Model in optimizing portfolios of high-end companies. By analyzing a 20-year dataset spanning 2001 to 2021, this paper explores the construction of efficient and minimum variance frontiers and their performance compared to the index model and the naive portfolio approach. The findings highlight the limitations of relying solely on historical data, as past performance may not accurately predict future outcomes due to evolving market conditions and company-specific factors. Additionally, the study emphasizes the need for incorporating practical factors such as transaction costs and liquidity constraints into the evaluation of portfolio optimization models. Furthermore, the study acknowledges the limitations of its focus on certain companies, recognizing that findings may not be directly applicable to other regions and markets with differing economic, regulatory, and industry dynamics. While the Markowitz Model offers a sophisticated framework for portfolio optimization, it is important to consider these limitations and conduct further research to enhance its effectiveness in diverse investment contexts.

Do you follow your head or your heart? The simultaneous impact of framing effects and incidental emotions on investment decisions

This study is situated in an investment context and explores how the effect of framing (gain versus loss framing) changes the impact of incidental emotions (fear and excitement) on behavioral and physiological outcome measures. While existing literature has found that the effects of framing and incidental emotions both impact decision-making independently, the present study extends this literature to test the simultaneous influence of both gain and loss framing, which has been previously neglected. Sixty participants were randomly divided into groups induced with different incidental emotions (fear/excitement/control). They were asked to make investment choices on thirty investment scenarios by choosing between a safe and a risky investment option presented towards either possible gains or losses associated with financial investments.Our findings suggest that the interplay of framing and incidental emotions does indeed produce novel effects beyond those described in the current literature. For example, participants in the “fear group” prefer more risky investment options in the gain scenarios than participants in the “excitement group”. Most importantly, the interaction between the effects of framing and excitement makes participants myopic about the advantages of risky investment options, whereas the same interaction shows a reverse effect in participants experiencing fear.

IMPLIKASI PENERAPAN KEBIJAKAN GOLDEN VISA DALAM RANGKA MENDORONG PENGEMBANGAN INVESTASI PADA SEKTOR PARIWISATA

Many countries already have efforts to accelerate tourism recovery (including the Government of Indonesia). One of the issued policies is facilitating investment in the tourism sector, which is expected to encourage economic growth and create sustainable jobs. This study uses a qualitative desk study approach or literature research to analyze the implications of implementing the golden visa policy to encourage investment development in the tourism sector. Besides, this study elaborates explicitly 3 (three) things: existing policies related to visa applications and the context of tourism investment, benchmarking of golden visa policies in some countries, and strategic policy implications. Based on the analysis, a comprehensive approach is needed in formulating appropriate and relevant policies to support sustainable tourism investment, manifested in regulations along with adequate and effective implementation supervision. Related to the efforts to attract foreign investors to invest in Indonesia, and referring to the example of the application of the Golden Visa that has been carried out by several countries, existing policies in Indonesia can be added with several requirements in the prerequisite of golden visas aimed, so the goal of national economic development to prevent harmful excesses can be reached.

What Does Venture Capitalists Learn From IPO Failures?

Venture capital investors focus on early-stage enterprises, the market participants have limited information about their prospects. Their investment decisions involve complicated factors and potentially the failures in the past can affect their future investment decisions. In this paper, within the context of venture capital investment, I examined the impact of the rate of IPO failures in one sector on future investment in the same sector. However, the direction of effect is ambiguous. The learning effect from past failure can be positive if the VC investors gain valuable experience from it. Alternatively, the learning effect can be negative as it reveals the VCs incapability to invest in that given sector. I exploit a data set from Preqin and a fixed-effect model to help me identify results that are consistent with a positive learning story. This finding contributes to our understanding of how VC investors make investment decisions and how financial market participants react to failures more broadly.

Demystifying the use of corporate social responsibility terminology in the investment context

Orientation: Interest in corporate social responsibility (CSR) is escalating in the 21st century. Globally, companies are increasingly attempting to enhance their reporting on sustainability concerns, given that terminology can noticeably affect the attitudes and behaviours of investors and other key stakeholders.Research purpose: A growing number of responsible investors incorporate sustainability considerations when making investment decisions. Therefore, it is important to determine the relevant CSR definitions and dimensions based on the breadth of existing research on CSR in the investment context.Motivation for the study: As investors incorporate companies’ reporting on a range of financial and sustainability performance metrics when making investment decisions, it is necessary to clarify sustainability-related terminology from an investor perspective.Research approach/design and method: A systematic literature review was performed to explore sustainability terminology in the investment context with a particular focus on CSR. Content and thematic analyses were conducted on 94 articles.Main findings: The findings confirm that although concepts such as sustainability and corporate citizenship have been used interchangeably with CSR by previous scholars, referral to CSR has remained relevant in the investment context. Eight key dimensions were identified to describe CSR in an investment context, namely, social concerns, stakeholders, economic factors, environment, action, voluntarism, ethics, and sustainability.Practical/managerial implications: The identification of context-specific CSR dimensions provides a foundation for developing CSR measurement tools for investors and corporate decision makers.Contribution/value-add: Eight core dimensions of CSR were identified and combined in a comprehensive, context-specific definition applicable to the investment context.

Investment screening put to the test of the Covid-19 Pandemic: typology, legality and externality

ABSTRACT The Covid-19 Pandemic has introduced or revived a concern in the foreign direct investment (FDI) context that was less emphasized pre-Pandemic, namely public health. This article discusses the typology of Covid-19 related FDI screening, expounds on the legality of these measures in the context of both national investment law and international investment law, and identifies the potential negative externalities to foreign investors and to the host state. Newly promulgated FDI screening measures intensify governmental intervention and scrutiny in cross-border takeovers in the health sector and beyond to protect domestic companies from being taken over by predatory foreign buyers. FDI screening during Covid-19 has become more comprehensive and inclusive in its scope than what was already considered a system capable of excessive and arbitrary use pre-Pandemic. FDI screening on grounds of public health may be justified for its legality under both national and international investment law, nonetheless certain conditions need to be satisfied. The negative externality of FDI screening during Covid-19 pertains to a concern that, if applied aggressively in practice, FDI screening might potentially result in a deterrence effect on the cross-border capital flow that is much needed for market revival after a global economic shutdown.

MAQUILADORA INDUSTRY ON MEXICO'S NORTHERN BORDER

This paper analyzes the consolidation process of maquiladora industry in Mexico's northern border, based on the expansion context of Global Value Chains (GVC) and Foreign Direct Investment (FDI) as forms of lowering production costs. Having arrangements like the North American Free Trade Agreement (NAFTA) as an institutional background, there is a growing presence of Multinational Corporations (MNCs) and the expansion of maquiladoras as a national export-led model, mainly composed by manufactures. Through socioeconomic data analysis, we demonstrate two aspects concerning the evolution of maquiladora industry in Mexico: Job creation is related to inferior wage levels with a low improvement throughout history, which may interfere on the social reproduction of labor force; It follows the rise in undocumented immigration to the United States, creating a tighter and onerous institutional response on border control as an attempt to contain the migratory flows. 

Strategi Penguatan Keberlangsungan Usaha Melalui Edukasi Literasi Keuangan: Studi Pada Sentra Indutri Tempe Sanan

Education to improve the understanding of financial literacy in MSMEs is one of the efforts that can be carried out to enrich their knowledge. This knowledge will be useful for their business, especially for sustainability of their business. This research was conducted at the Tempe Sanan Industrial Center, Malang using a qualitative method, that is interviews. The results of the study show that not all business actors have sufficient financial literacy, especially if it is related to the investment context. However, business actors are considered sufficient to have a good financial attitude but not for things such as: making budgets, monitoring cash flows, and planning business protection. This is because business actors are too busy with their business operations so they do not have enough time to do the things above..

SocioLink: Leveraging Relational Information in Knowledge Graphs for Startup Recommendations

ABSTRACT While venture capital firms are increasingly relying on recommendation models in investment decisions, existing startup recommendation models fail to consider the uniqueness of venture capital context, including two-sided matching between investing and investee firms and a lack of information disclosure requirements on startups. Following the design science research paradigm and guided by the proximity principle from social psychology, we develop a novel framework called SocioLink by depicting and analyzing various relations in a knowledge graph via machine learning. Our experimental results show that SocioLink significantly outperforms state-of-the-art startup recommendation methods in both accuracy and quality. This improvement is driven by not only the inclusion of social relations but also the superiority of modelling relations via knowledge graph. We also develop a web-based prototype to demonstrate explainable artificial intelligence. This work contributes to the FinTech literature by adding an innovative design artifact—SocioLink—for decision support in the investment context.