Basic Investment Research Articles

Investment Knowledge in the Young Generation: A Theory of Reasoned Action Perspective

This study aims to explore the investment knowledge of students from the Faculty of Economics and Business at Universitas Negeri Makassar using the Theory of Reasoned Action framework. Basic investment knowledge is crucial for prospective investors to avoid irrational investment practices, such as gambling, following trends without analysis, falling victim to fraud, and facing significant financial losses. Adequate knowledge, experience, and business instincts are essential for analyzing which assets to invest in within the capital market. Understanding the correct methods of investing is vital to minimize the risk of losses, particularly in stock market investments. While the growth of investors in Indonesia's capital market is promising, the overall interest in investing remains relatively low compared to other countries. This study underscores the importance of enhancing investment education to better prepare young investors. By increasing their financial literacy and decision-making capabilities, we can help foster a more robust investment culture and contribute to the financial well-being of the young generation.

Benefit volatility-targeting strategies in lifetime pension pools

Lifetime pension pools—also known as group self-annuitization plans, pooled annuity funds, and retirement tontines in the literature—allow retirees to convert a lump sum into lifelong income, with payouts linked to investment performance and the collective mortality experience of the pool. Existing literature on these pools has predominantly examined basic investment strategies like constant allocations and investments solely in risk-free assets. Recent studies, however, proposed volatility targeting, aiming to enhance risk-adjusted returns and minimize downside risk. Yet they only considered investment risk in the volatility target, neglecting the impact of mortality risk on the strategy. This study thus aims to address this gap by investigating volatility-targeting strategies for both investment and mortality risks, offering a solution that keeps the risk associated with benefit variation as constant as possible through time. Specifically, we derive a new asset allocation strategy that targets both investment and mortality risks, and we provide insights about it. Practical investigations of the strategy demonstrate the effectiveness and robustness of the new dynamic volatility-targeting approach, ultimately leading to enhanced lifetime pension benefits.

FAKTOR-FAKTOR YANG MEMENGARUHI KEPUTUSAN MENJADI INVESTOR BARU SAHAM SYARIAH

This study aims to find out what factors influence the decision to invest and become an investor in Islamic stocks during the Covid-19 pandemic. This study uses a quantitative approach with exploratory factor analysis method. The sampling method used was non-probability sampling with a purposive sampling technique with 105 samples obtained by distributing questionnaires to respondents who met the research criteria online. The results of this study reveal that there is an anomaly in new Islamic stock investors compared to old investors who tend to avoid investing during the Covid-19 pandemic. There are nine factors that influence the decision to invest and become new investors in Islamic stocks during the Covid-19 pandemic. These factors are technological advances, herding behavior, investment motivation, sharia compliance, risk perception, minimum investment capital, basic investment knowledge, avoiding speculation, and technical analysis factors.

Accounting Factors in Stocks Return: Companies Listed on the Asean Exchange

The capital market can provide investors, because the selected securities investments are expected to provide a level of return commensurate with the risk the investor bears. The phenomenon that is currently occurring shows that returns are decreasing shares occur in companies in the agricultural companies on the ASEAN, are faced with expectations in the form of investing capital is to obtain a high rate of return low risk. This would be contrary to basic investment principles namely High Risk High Return. Companies listed on the stock exchange are investment commodities with relatively high risk. The nature of investment shares is compassionate and changes to influences originating from within and outside the country, such as changes in politics, economics, government regulations, or modifications within the company or industry. This research aims to determine the factors that influence stock returns, which consist of price book value (PBV), debt-equity ratio (DER), and earnings per share (EPS)—using purposive sampling, with sample 14 agricultural companies listed on the ASEAN Exchange during the 2017-2022 period. Data analysis used multiple linear regression and the hypothesis test using the T-test with a significance level 0.05. The regression analysis results found that only the price book value (PBV) variable had a significant positive effect on stock returns. Meanwhile, the variables debt equity ratio (DER) and earnings per share (EPS) do not affect stock returns simultaneously

Financial Literacy Skills: RiskTole Go Card Game as a Pedagogical Tool

Following the hypothesis that card games can effectively influence subjects of interest, this paper developed a RiskTole Go card game. The card game is to enhance financial literacy skills as a pedagogical tool. The purpose of this study is to develop RiskTole Go card game in promoting the development of financial literacy skills among the youngest learners as an educational tool. A qualitative in-depth interview with six financial planning practitioner and four parents, to obtain the aspects needed among the youngest generation related to financial literacy. The study finding revealed the domain aspects needed for the card game development are cash management such as budgeting, savings, and expenses. Besides, risk management, and basic investment also needed imbedded in the card game. In addition, the participants suggested to relate financial literacy aspects corresponding to life-cycle of young generations, enable the learners relate to their current life-style. The findings study could assist future researchers planning to develop of card games related to financial literacy. This study also contributes to both academic and practitioner in delivering financial literacy skill to the youngest generation.

Experimental Investigation on the Performance of the Scroll Expander under Various Driving Cycles

Energy storage is considered a crucial unit in utilizing renewable energy sources, and compressed air energy storage (CAES) provides a cost-effective solution. It offers the benefits of zero pollution, a long lifespan, low maintenance costs, and minimal environmental impact. In order to increase the possibilities of compressed air energy storage for vehicle power, the performance of the expander needs to be studied. First, a CAES unit test bench is established. Then, the volumetric flow rate, rotational speed, torque, and output power are examined. Additionally, the isentropic exhaust temperature, pressure, and gas consumption rate of the scroll expander are analyzed. Finally, analyzing the economic feasibility of the CAES unit entails running the unit under varied driving conditions. Results reveal that the pressure of the input expander is high, which will lead to greater torque, greater peak power, and a greater temperature drop, but the gas in the air tank will also run out quickly. The peak power of the scroll expander does not occur at the maximum volume flow rate, rotation speed, and torque. The basic investment of the CAES unit mainly depends on the peak output power.

Use of ridge regression analysis in the multicollinearity in animal science

Ridge and basic investment are analysis methods used to guide regression analysis, to make very convenient regression analysis. Although the least squares estimates are unbiased when multicollinearity occurs, the variances of the estimates can be quite far from their true values. Ridge and principal components regression standard errors are reduced by allowing one-level biased regression estimates. Therefore, when multicollinearity is present, the ridge regression method can be used as an alternative to the least squares method. In this study, it was aimed to develop a model that predicts various egg quality criteria obtained from 238 Lohmann LSL-white commercial laying hens at 46 weeks of age. Due to the multicollinearity between egg quality criteria, ridge regression analysis methods, which are alternatives to least squares regression, were applied and these two methods were compared for the same data set. The coefficient of determination (R2) and coefficient of variation were used as comparison criteria. According to these criteria, it was observed that the least squares (R2=0.876), ridge (R2=86.9) methods gave the best fit, respectively. As a result, it was concluded that it would be more accurate to use Ridge regression methods instead of using the least squares method in case of multicollinearity.

The Influence of Capital Market Openness on the Sentiment of Chinese Investors

In recent years, China has been gradually and progressively promoting the opening of its capital markets to the outside world. In this study, a questionnaire survey and SEM (Structural Equation Modeling) model analysis were used to investigate the mechanisms and outcomes of capital market openness on Chinese investor sentiment based on the Land-Hong Kong Link Policy.The study reveals that following the opening of the capital markets, individual investor sentiment tends to become more rational due to factors such as changes in investor structure and shifts in value investment concepts. In the future, it is recommended that China's capital markets promote basic investment education and enhance the development of financial regulations to progress towards a deeper level of openness.

Pengaruh Pemahaman Teori Dasar Investasi, Modal Minimal, Dan Motivasi Terhadap Minat Berinvestasi Pada Generasi Milenial Area Surabaya Gresik

The purpose of this study was to determine the effect of understanding the basic theory of investment, minimum capital and motivation on the millennial generation's interest in investing in the capital market. The millennial generation in this study focuses on young investors, aged between 17 to 35 years who live in Surabaya and Gresik and have active investment accounts of 50 people. The type of research used is quantitative. Information was collected through a questionnaire. The analytical method used is descriptive analysis, validity analysis, reliability analysis, multiple linear regression analysis, normality, hypothesis testing (T test and F test) and deretmination coefficient (R²). The results of the study show that the variable knowledge of basic investment theory results from t count > t table (2.138 > 2.012) and results t count > t table minimum capital variable (2.887 > 2.012) meaning that these two variables have a positive and significant effect on millennial generation investment interest in the capital market. While the motivational variable results t count > t table (-0.085 > -2.012) is negative, meaning that the motivational variable does not significantly influence the interest in investing in the millennial generation. From the results of the multiple regression test, the results are Y=4.095+ 0.203X1+ 0.653X2+ (-0.10X3)+ 0.363. The results of the F test obtained F count > F table (26.933 > 2.81).

The framework of Hammer (CAFÉ) credit rating for capital markets in China with international credit rating standards

AbstractThe goal of this paper is to discuss how we establish the so‐called “Hammer (CAFÉ) Credit System” by applying the Gibbs sampling algorithm under the framework of a big data approach supported by both traditional structured and unstructured data as a breakthrough, in particular, to extract those highly related risk features in depicting default (bad) events and related fraudulent behaviors (action) by following the “five step principle” incorporated with the international credit rating standards in the practice. The analysis shows that our Hammer (CAFÉ) Credit System is able to handle current three issues raised by the credit rating business for capital markets in China, which are as follows: (1) The rating is falsely high, (2) the differentiation of credit rating grades is insufficient, and 3) the performance in predicting early warning and related issues is poor. In addition, the Hammer (CAFÉ) credit discussed in this paper is supported by clearly defining the “BBB” grade rate as the basic investment level associated with the annualized rate of default probability, and the credit transition matrix for “AAA‐A” to “CCC‐C” credit grades in accordance with international standards used in the practice of risk management and decision services.

Prediction of engineering investment spillover effect based on neural network

Engineering investment is the basic investment of the whole national economic development. When the project investor obtains its expected return, it may have other beneficial benefits for social organizations or people outside the subject, but the investor cannot obtain such benefits. Spillover usually occurs from three aspects: economy, technology and knowledge. The spillover effect of project investment usually brings obvious spillover effect, which has positive benefits to society, but may also produce unfavorable factors. Therefore, it is necessary to predict the project investment spillover. When it is predicted that the investment spillover will have more favorable benefits, the preparation of relevant investment funds can be started, and when it is predicted that there will be unfavorable spillover benefits, the investment in related engineering projects will be terminated. Project investment spillover effects usually have specific rules. On the basis of summarizing and analyzing historical project investment spillover effects, the specific situation of its spillover effects can be obtained, and then the rules can be learned in combination with specific algorithms to complete the project investment spillover effects. predict. The purpose of this paper is to provide investors and institutions with a valuable investment forecasting reference method, combined with the relevant theories of the investment value of engineering market-oriented enterprises, using quantitative analysis methods and quantitative analysis methods, so as to provide an investment based on data and algorithms. The spillover value forecast method supports and promotes the development and construction of national key projects. Based on the completion of the entire prediction model, this paper uses the particle swarm optimization method of the deep neural network model process studied in this paper, and based on the relevant data of 284 historical engineering investment overflow cases, the algorithm is trained and output, and then the investment overflow of each project is obtained. The relative score of the predictions, and analyzing this overflow prediction. Through the obtained comprehensive prediction score and according to the result analysis. Corresponding conclusions and future development directions are put forward to provide theoretical guidance for investors and institutions to invest in investment direction and estimate investment spillover effects.

Türkiye’de Sektörel Batık Krediler Döngüsü: Ampirik Bir Analiz

This study examines how much of the total loans are in follow-up and which sectors have difficulties repaying these loans, using the monthly data from the post-2000 period using the Event Study method. Undoubtedly, banks’ loans to the sectors are the most basic investment element. It is a significant problem on which sectors these loans are concentrated on and the contribution of these sectors to the country's economy, and their effects on the economy. Another critical problem is the recycling problem in the payment of loans extended by banks. This situation, called non-performing loans in short, is of great importance in terms of being the leading indicator of crises. The research findings showed significant increases in almost all selected sectors in the pre-crisis, crisis, and post-crisis periods. From this point of view, the rate of growth in non-performing loans of banks provides some predictions about the general course of the economy.

Enhanced Bollinger Band Stock Quantitative Trading Strategy Based on Random Forest

Constructing applicable automated stock trading strategies has become one of the best ways that people can earn profits from their underlying assets' investments now. Automated stock trading, also called quantitative trading, contains sets of human-defined rules, which are written in codes to make decisions to go long or short on stocks on a computer. Investment banks, brokerages, private equity funds, and other financial institutions around the world are keen on investigating and developing quantitative trading strategies with sustainable profitability to yield higher returns than the normal market. This research aims to observe the trading performance and profits of financial banking stocks in the Hong Kong stock market by building a quantitative trading strategy named Enhanced Bollinger Band Strategy based on Random Forest and Bollinger Bands. In experiments, the Random Forest algorithm is applied to predict the Weighted Moving Average the next day. Meanwhile, Bollinger Bands are the trading signals used to make decisions on going long or short positions based on the historical moving average lines and standard deviation. Performances of the Enhanced Bollinger Band Strategy are evaluated by test sets of ten financial banking stocks. We also compare the performance of the Enhanced Bollinger Band Strategy and Traditional Bollinger Band Strategy and find that the Enhanced Bollinger Band Strategy can earn 10-30% profits on a variety of stocks although these stocks are losing 10-50% original amount of investment in Traditional Bollinger Band Strategy and basic investment. Therefore, a combination of Random Forest and Bollinger Bands in the quantitative trading strategy generates higher returns than simply investing in stocks.

Basic Investment for Gen Z in Jakarta “Developing a Better Investor

Basic Investment for Gen Z in Jakarta “Developing a Better Investor

Research on the Development of Home Care Industry Based on Porter's Diamond Theory – Take Tianjin as an example

With the continuous reduction of household size, the increase of empty nest families of the elderly, and the weakening of family development ability and anti-risk ability, it is predicted that by 2025, the proportion of people aged 60 and above and those aged 65 and above in the permanent population of Tianjin will reach 24.66% and 17.35% respectively. The acceleration of the aging population in Tianjin has put forward higher requirements for the development of the elderly care industry. Meanwhile, The State Council issued Several Opinions on Comprehensively Opening the Elderly Care Service Market and Improving the Quality of Elderly Care Service on December 26, 2016. Based on this background, this paper uses Porter's diamond theory to introduce the development of home-based care industry in Tianjin from five aspects: resource elements, demand conditions, auxiliary industries, government functions and main opportunities, and finds that there are problems such as insufficient basic investment and lack of professional nursing talents in the development of the elderly care industry in Tianjin. Combined with the current information development level and policy background, this paper puts forward some policy suggestions, such as focusing on the training of professional nursing staff, correctly weighing the relationship between the government and the market, optimizing the environment for private investment in home care industry.

Antecedents of understanding the investors’ acceptance of artificial intelligence: Perceptions from Jordanian context

This study examined the perception of investors toward the factors of Artificial Intelligence (AI) that impact behavioral intention of AI adoption. TAM was used with the addition of three factors of subjective norms, trust in service and service provider, and training. Jordanian stock market investors with basic investment knowledge were selected as the study participants using a convenience sampling method. The analyzed data were obtained from 610 responses. Results demonstrated the significant impact of trust in service and subjective norms on AI. Attitudes, perceived ease of use and perceived usefulness showed statistical significance toward intention to use AI. Results also showed significant impact of training on perceived ease of use.

A Study on Improvement Plans for a Local Financial Investment Project Evaluation System

This study aimed to summarize previous research on local financial investment reviews and the project evaluation method for rational investment decisions related appraising local financial investment projects. Measures were developed to quantify qualitative reviews, and new indicators were created. Lastly, academic and practical implications were considered, and a new evaluation system and sub-system for divisional investment projects were proposed based on these considerations. The results include a score table for each grade, with perfect scores set at 10 points for each element. A proposal for a new division was also made based on the classification of basic, intermediate, and optional investment projects. Taking the current division system into account, the proposal suggested the basic investment division, the intermediate investment first division, the intermediate investment second division, and the optional investment division. With this study, it is expected that investment screening can be conducted from a more objective and consistent standpoint, because it provides basic data for solving problems related to subjective screening standards, which have been seen as problematic.

INVESTMENT RESOURCES OF ENTERPRISES AND SOURCES OF THEIR FORMATION

INVESTMENT RESOURCES OF ENTERPRISES AND SOURCES OF THEIR FORMATION

Set up gamer for gameplay streamer in Mexico, required investment and growth during the 2019 pandemic

This article sets out by way of introduction the existing problem that gives rise to the research, the background and the objective, being this: To inform how Gameplay Streaming has become a way to generate income and the impact it has during the 2020 - 2021 pandemic in Mexico, knowing the resources and initial investment needed to install a Set up gamer and become a content creator in one or more of the different Streaming platforms; The type of documentary research with explanatory and descriptive qualitative design was used; as a theoretical framework, the topics involved in the research are briefly described, thus arriving at the results which highlight the initial investment required of a Streamer to install the set up and be able to perform Gameplay Streaming. Finding that various authors agree with the results found and concluding that this phenomenon has had an exponential growth during the years of pandemic, so it is a hobby that becomes an attractive and innovative way as a source of income, resulting in the basic investment in the assembly of the Set-up gamer not very expensive.

Russian mechanical engineering in the mirror of statistics

In modern periodicals, undeservedly little attention is paid to the basic investment branches of mechanical engineering. Meanwhile, statistical analysis shows that these industries are in critical condition. After 1991 they experienced the greatest decline in comparison with other types of mechanical engineering, in many of them the decline continued until 2016, and the number of employees is still declining. The scale of production has almost not recovered, the dependence on imports has increased, and the possibilities of overcoming it have decreased. The scientific base has been largely lost, the costs of technological innovations have frozen at the level of 2010, and investments in fixed assets are declining. The low profitability of investment engineering products blocks the possibility of its recovery. The development strategies of its branches do not promise the expected breakthrough in the next 10–15 years, which is unacceptable in the current geopolitical situation.