Financial Ability Research Articles

Afterword of ‘Financial frontiers': towards conceptualizing finance that engages both power and contingency

ABSTRACT The critical and interdisciplinary scholarship analyzing finance, and specifically the relationship between financialization and inequality, has ballooned over the past twenty years. The increasing power and influence of financial and investment values, practices, policies, and networks have worked to leverage existing inequalities and construct novel regimes of accumulation that have increased socioeconomic precarity and dismantled socioeconomic protections for most. This fraught and unequal landscape has reinvigorated scholarly research and discussion on the role of finance in capitalism and on finance's relationship to other historical processes of inequality. Not surprisingly, much of this work on finance has faced similar questions and pitfalls as the critical scholarship on capitalism, namely, how to represent, analyze, and account for finance's power and influence without over-empowering, totalizing, presuming, or rendering inevitable finance's ability to remake the world in its own image. This Afterword engages this quandary, arguing that a dual approach is necessary – one that simultaneously shows finance's local contingencies, historical specificities, and unexpected trajectories alongside an approach that demonstrates finance's catalyzation of longstanding unequal structures produced through racial capitalism and colonialism to intensify contemporary inequality.

Eviction-Related Threats and Coping Mechanisms among Women Street Food Vendors in Dar es Salaam, Tanzania

The purpose of this study was to investigate eviction-related threats and coping mechanisms among women street food vendors in Ubungo Municipality, Dar es Salaam, Tanzania. A cross-sectional research design was used and a questionnaire was administered to a random sample of 60 women. According to the findings, eviction-related threats included a decrease in the number of customers, the lack of specific location for food vending activities, an increase in the cost of doing business and the congestion of street food vendors in one location. Women coped with such evictions by maintaining the price but reducing the share of food, measuring food according to the client’s financial ability, practicing good customer service, borrowing money from financial institutions and striving to expand customers’ base. Other reported strategies include preparing enough food for the day and explaining to customers why food prices have risen. In harmony with the Multi-layered social resilience framework, respondents managed to demonstrate reactive capacities in dealing with such eviction-related threats. In order to cope with the threats more proactively, awareness campaigns are needed to educate women street food vendors on the need of conducting their enterprises in authorized locations in order to avoid further evictions. Similarly, women street vendors should be empowered to seek assistance from both local and national government authorities at various levels, participate in decision-making processes and create institutions that can defend and foster their well-being in the face of future crises.

Working capital management in increasing liquidity and profitability in the businessareaof tirta komodo manggarai drinking water

Good management of working capital will determine the liquidity and profitability of the enterprise. This study aims to determine and analyze the working capital management of PDAM Tirta Komodo in 2018 - 2020 in determining liquidity and profitability. The type of data used is secondary data sourced from the balance sheet and profit and loss statements for 2018 - 2020. Data analysis techniques use the analysis of the ratio of working capital turnover, liquidity ratio, profitability ratio. The results of the analysis show that the turnover of working capital has decreased continuously, resulting in an impact on the company's financial ability to fulfill obligations to third parties, as seen from the acquisition of current ratios and quick ratios that have increased continuously. The decrease in working capital turnover also has a significantimpact on the company's profitability gains, which is seen from the attractive ratio of NPM, ROA and ROE. Efforts to increase liquidity and profitability can be done by: using cash optimally, increasing collection of receivables, reducing inventory collection in warehouses, controlling operational costs, increasing the number of current ICA andown capital

Prediction of Electric Load Neural Network Prediction Model for Big Data

In the background of information network and big data era, the digitalization and information network level of China's financial industry has been improved, and many advanced big data analysis technologies have been derived, among which mobile big data analysis model is the most widely used. Based on the concept of financial investment, mobile big data analysis model can not only improve the accuracy of financial data analysis, but also quickly establish the financial investment evaluation and prediction model, providing a reliable basis for financial investment and financial development strategy. In this regard, the author combines relevant literature and his own work experience to conduct a detailed study on mobile big data analysis model based on financial investment concept. Mobile big data analysis model is a kind of data analysis model established based on big data technology, which has the characteristics of strong data collection ability, high accuracy of data statistics and analysis, and high efficiency of data application. Based on the concept of financial investment, the mobile big data analysis model can not only improve the financial investment analysis function of the mobile big data analysis model, but also improve the financial risk analysis ability of the model, which provides a reliable basis for financial investment and financial risk management. Therefore, the following briefly outlines financial investment, then analyzes the importance of building mobile big data analysis model based on financial investment concept, and finally analyzes the method of building mobile big data analysis model based on financial investment concept and briefly discusses the typical application of the model.

The Influence of Corporate Governance on the Companys Value

This paper critically analyzes corporate governance and its importance in es-tablishing a company's value. We mainly explore how corporate governance affects various aspects, such as the company's financial performance, inves-tor attraction, and ability to work without malpractices, all of which are per-ceived as helping the company gain its value. Findings from this paper show that companies with strong corporate governance are more likely to perform well in the market and attract more investors.

Pemanfaatan Mobile Application Si-Apik bagi Perempuan Pesisir Pelaku Usaha Sektor Pariwisata Maritim

Covid-19 pandemic and Tropical Cyclone Seroja have had a negative impact on MSMEs in the tourism sector in Kupang City. The closure of tourist sites resulted in a decrease in the family's economic capacity. This phenomenon is agreed in priority issues of partners who are unable to measure their financial ability to deal with business uncertainty which then has an impact on low access to capital. The aim of PKM is to empower business actors to be able to maintain their business in order to improve the family economy. Empowerment of management aspects using the PRA method through Secondary Data Collection, Focus Group Discussion (FGD) and Participatory Modeling Mapping and implementation stages through outreach, training/simulation and mentoring as well as evaluating the use of the SI-Apik application and ultra-micro financing for tourism businesses in Lasiana City Beach Kupang. Partners are 5 housewives who have been running the business for more than 10 years. The analysis results showed an increase in understanding, knowledge, ability, and skills in utilizing financial applications between >50%-100% for 5 indicators and 20%-40% for 4 achievement indicators. Ultra micro financing activities reach ≥80%.

Pengaruh Good Corporate Governance dan Ukuran Perusahaan terhadap Profitabilitas pada Perusahaan Perbankan yang Terdaftar di Bursa Efek Indonesia

The financial sector's ability to profit was hampered during the Covid-19 pandemic. General Operating Procedures (or GCG) are a set of rules by which a company or other organization conducts its day-to-day business. This study aims to examine the relationship between the audit committee, board of directors, board of commissioners, and company size as surrogates for good corporate governance and the financial performance of Indonesian banking firms traded on the Indonesia Stock Exchange. Purposive sampling was used, and the resulting sample size was 48 observations. SPSS 20 for Windows is used for multiple linear regression analysis, a type of data analysis. GCG has a positive effect on bank profitability, according to studies, and is proxied by the board of directors, the audit committee, and the board of commissioners. Financial success at IDX-listed banks is positively correlated with company size. 
 Keyword: Bank;Good Corporate Governance; Profitability

Enterprise litigation risk and enterprise performance

With the continuous improvement of China's legal system, corporate litigation risk has become a hot topic of academic research. This paper selects data from 2011 to 2020 to explore the impact of litigation risk on corporate performance. It further investigates the impact of litigation risk on corporate performance through the level of debt financing. It is found that: the higher the corporate litigation risk, the lower the level of corporate performance; the higher the level of internal controlling and analyst following, the lower the effect of litigation risk on corporate performance; the mediating effect shows that litigation risk is transmitted negatively to corporate performance through corporate debt financing ability.

Report of the President of the Society for the Advancement of Scandinavian Study

Report of the President of the Society for the Advancement of Scandinavian Study

Financial model construction of a cross-border e-commerce platform based on machine learning

With the development of informatization, traditional industries have been seriously impacted by cross-border e-commerce (CBEC), and the financial management mode no longer meets the needs of CBEC users. As cross-border electronic trading platforms face enormous financial data challenges, they need financial supervision and effective network risk protection. Artificial intelligence (AI) can effectively improve the financial accounting ability and resource integration of platforms. However, at present, the underdeveloped financial management system of CBEC platforms and problems, such as the running records of platform funds have seriously hindered the development of the financial standardization of platforms because the financial management system affects managers’ statistical analysis of financial data. Therefore, this paper analyzes the financial risks, the management problems and the causes of these problems of CBEC platforms and then uses AI to study the financial operation of CBEC platforms. Subsequently, this paper uses a machine learning (ML) algorithm to analyze the financial data clustering center and the security factor of the financial model. Finally, this paper proposes some corresponding strategies for financial model optimization and construction that can improve the information security and capital management of CBEC finance and promote the long-term development of CBEC platforms. The experimental results show that the classifier value and the safety factor of the financial model of CBEC platforms gradually increase under the ML algorithm. The mean value of the classifier value is approximately 1.14, and the mean value of the safety factor is approximately 1.37. Overall, the initial value of the classifier value of the platform financial model is 0.85, which increases to 1.41 on the seventh day, while the whole process increases by 0.56. The initial value of the safety factor of the platform financial model is 1.10, which increases to 1.64 on the seventh day, while the whole process increases by 0.54. The transaction information security and financial accounting accuracy of the CBEC platform financial model is better than that of the original financial model. The transaction information security is 10.4% higher than that of the original financial model, and the financial accounting accuracy is 10% higher than that of the original financial model. In other words, both AI and ML can promote the financial accounting standards and long-term development of CBEC platforms.

ANALISIS MODEL FRAUD HEXAGON DALAM MENDETEKSI POTENSI KECURANGAN LAPORAN KEUANGAN PADA PERUSAHAAN BUMN

The purpose of this study was to determine the effect of stimulus, opportunity, rationalization, ability, ego, coalition on fraudulent financial statements. The population in this study are state-owned companies listed on the IDX for 2016-2020. Sampling using purposive side. In order to obtain a sample of 12 companies. The type of data used is secondary data with documentation. Data analysis used logistic regression analysis. The results showed that stimulus, ego, coalition had a positive and significant effect on fraudulent financial statements, opportunity had a negative and significant effect on fraudulent financial statements, rationalization and ability had no effect on fraudulent financial statements

Corporate environmental responsibility in polluting firms: Does digital transformation matter?

AbstractThe motivations for firms to undertake corporate environmental responsibility (CER) have been a hot topic in academia. However, with the rise of the digital economy, it is still been determined whether digital transformation will become a driving force for firms to assume CER. Based on panel data of Chinese listed firms in polluting industries, this article empirically tests whether and how digital transformation affects CER. The results show that digital transformation significantly motivates firms to assume more CER, especially for state‐owned and large‐scale firms and those located in the western region and ordinary‐level cities. The influence mechanism behind the relationship reveals that digital transformation improves financing ability and further encourages firms to assume CER. However, the effect is only short‐term and has no significant influence on the long‐term financing ability. Further research shows that regional differences in environmental governance pressure can strengthen the effect of digital transformation on CER. Our empirical findings provide policy implications for firms' digital transformation and sustainable development.

Pengaruh Literasi Keuangan, Kemampuan Finansial Dan Teknologi Informasi Terhadap Minat Investasi Saham (Studi Pada Mahasiswa Fakultas Ekonomi Dan Bisnis Universitas Muhammadiyah Metro)

Lack of financial literacy is one of the causes of financial problems, as economics and business students should have good financial literacy, financial ability possessed by students is one of the factors that become obstacles for students to start investing and the existence of information technology that is increasingly modern today become facilities that make it easier for students to make investments. The purpose of writing this article is to determine the effect of financial literacy, financial ability and information technology on interest in stock investment. research method using a survey study tested using multiple regression analysis, partial test, stimulant test and the coefficient of determination test. The results of the study show that all dependent variables including financial literacy, financial ability and information technology have a positive and significant influence partially and simultaneously on stock investment interests of students of the Faculty of Economics and Business, University of Muhammadiyah Metro. it can be concluded that the higher the financial literacy, the financial ability of students and the more understanding of information technology, the higher the interest of students in investing in stocks.

Abstract P2-05-01: Addressing barriers to adherence and quality of life among women recommended to receive chemoprevention for breast cancer prevention

Abstract Aims: While women with breast cancer may have increased survival when compared to other cancers, aggressive, multi-modal treatments are often required with significant impact on quality of life and economic cost, highlighting the importance of breast cancer prevention and screening. For the estimated 10 million women in the United States who meet high-risk criteria for breast cancer, evidence-based interventions may be implemented to reduce risk, including long-term chemoprevention. Engaging in preventative care requires a healthy woman to navigate a complicated decision-making process involving the woman’s perception of risk, access to information about risk and prevention strategies, access to care, social support, and the financial ability to manage cost of preventive care. Even with substantial evidence supporting chemoprevention for risk reduction, there is significant lack of uptake and adherence, especially among racial and ethnic minorities and underserved women. Given the missed opportunity for breast cancer prevention that this represents, it is critical to characterize the experience of women with chemoprevention to improve uptake and adherence to chemoprevention. Our aims were to explore the patient experience of women recommended to receive chemoprevention for breast cancer prevention. Methods: Sampling from a unique high-risk specialty care setting, we interviewed a diverse cohort of thirty women recommended to receive chemoprevention for breast cancer to learn about their experience in single semi-structured qualitative interviews. Content analysis was used to describe their experience and identify barriers to chemoprevention uptake and adherence. The MDASI-Breast was used to capture patient reported symptom burden at the time of interview. Results: Mean participant age was 54.6 years (range 34-87 years); 44.0% Hispanic; 20.0% Black; 81.0% receiving a selective estrogen receptor modulator, 19% receiving an aromatase inhibitor. Mean time since initiating chemoprevention was 14.0 months (range 1.1-49.3 months). At the time of the interview, women reported multiple symptoms, with the most severe reports of fatigue (mean severity 3.77, SD 2.91), sleep disturbance (mean severity 2.90, SD 2.47), problems with memory (mean severity 2.48, SD 2.07), drowsiness (mean severity 2.23, SD 2.14), and decrease in sexual interest or activity (mean severity 2.09, SD 2.38). In qualitative interviews, women reported barriers to preventive care related to symptom burden, access to care, access to accurate information, lack of understanding of breast cancer risk, and financial concerns. Content analysis found 20 symptoms related to both risk and preventive treatment, with 8 symptoms reported by ≥ 20% of women. All women described distress related to their risk, with 23.8% of women describing sadness related to their risk. In addition, 33.3% of women reported distress related to the impact of their own risk on their family, primarily on their children. Women (23.8%) described breast changes that were present when their risk was identified, such as a lump or pain. Treatment-related symptoms varied based on type of endocrine therapy received and history of surgery and included sleep disturbance (23.8% of women), pain (28.6%), hot flashes/night sweats (33.3%), fatigue (28.6%), and joint stiffness or soreness (23.8%). Women shared ways in which symptoms impacted daily functioning, work, relationships, and ability to enjoy life. Conclusions: Women at risk for breast cancer recommended to receive chemoprevention experience multiple barriers to adherence including symptoms related to their risk and preventive care, access to care and accurate information, and financial burden. Interventions are needed to improve access to care and symptom management. Citation Format: Jessica T. Jones, Meagan Whisenant, Kelly J. Brassil, Hannah G. Warlick, Emily Solis, Sharvari Kamat, Ann Maliackal, Amie Walters, Darcy Ponce, Anneliese Gonzalez, Denise Rios, Robinson Emily. Addressing barriers to adherence and quality of life among women recommended to receive chemoprevention for breast cancer prevention [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr P2-05-01.

ОЛНОО ӨРГӨГДСӨН МОНГОЛ УЛСЫН ЭДИЙН ЗАСГИЙН ТУСГААР ТОГТНОЛЫН АСУУДАЛД

When in the 29th of December of 1911 the Mongols established own state for strengthening it and liberation own territory from the Manchu-Chinese troops unite the rest of Mongolia under the Mongol rule need a huge amount of financial sources. So make the fund rising in the Mongolian ground was impossible. For that purpose the Mongols seek the financial aid from Russia and heavily talk how the Mongols should have own financial sources and how payback the Russian loan and how the Mongols should develop their financial ability. All those internal policy moods in the Mongolian society described in this article using the historical sources of that time.

Internal or external control? How to respond to credit risk contagion in complex enterprises network

This study investigates whether and how the two risk control strategies inhibit credit risk contagion among enterprises in the network. Learning from the corporate governance of enterprises, we propose internal and external strategies, respectively. Moreover, two improved epidemic models containing internal and external strategies strategy are established to investigate the impact of the two strategies on the risk contagion. The control effect of internal and external strategies is compared through simulation analysis. The results indicate that the enterprise's financial health, the cost and ability to apply the strategies are important factors affecting the control effect of strategies. For enterprises with general financial status (susceptible enterprise), when the costs of the two strategies are the same, they should choose external strategies. For enterprises with good financial status (immune enterprises), the external strategy is a more sensible choice. Our study provides new insights into controlling risk contagion in enterprise networks.

FINANCIAL ABILITY AND IMPULSIVE BUYING BEHAVIOR IN ONLINE PAYLATER SYSTEMS: CASE STUDY IN MARKETPLACE

This study aims to test to analyze and measure the effect of financial Ability (capacity) on the Online Pay Later System and to analyze and measure the effect of Impulsive Buying Behavior on the Online Pay Later System. The object of this research is the people in the Municipality of Depok who use the online paylater system in several marketplaces (Shopee Paylater, Gopaylater, Ovo Paylater, Tokopedia Paylater, etc.). As many as 150 data were collected using the survey method with convenience sampling technique. Data analysis was performed using the SmartPLS application. The results of the study show that the PayLater Online System on the Marketplace is influenced by Financial Abilty (capacity) and Impulsive Buying Behavior KEYWORDS: Impulsive Buying Behavior, Financial Ability( Capacity), Online Paylater System

IMPACT OF COVID-19 AND UKRAINE-RUSSIA WAR ON THE INTERNATIONAL TRADE AND LOGISTICS

The COVID-19 pandemic has caused a series of disruptions in production and transportation. After the reduction in mortality from COVID-19, trade, and tourism began to accelerate sharply, which resulted in increased demand, primarily for air transport. And then, there came a special intervention of Russia in Ukraine. During the ongoing intervention, the transport infrastructure in Ukraine was damaged significantly. The EU actively joined the war and adopted a series of sanctions to undermine Russian economic and financial ability to wage war. That led to the closure of the EU airspace for Russian aircraft, the closure of the EU ports to Russian ships, the banning of Russian transport operators, and bans on the export of goods and technology to the aviation, maritime, and space sectors. Pipeline transport is also under attack. The United States and several countries introduced similar bans. The sanctions caused a backlash and also affected transport in the EU, leading to difficulties in traffic, gas, and oil supply. Western airlines also cannot fly to or through Russia. Bottlenecks emerged in supply chains and the need to bypass traditional routes. That increased travel time and costs significantly. Transport companies faced restrictions from both the the Western countries and the Russian Federation. In connection with the 'special' operations in Ukraine and the Western sanctions, the transport situation in the Russian Federation has also deteriorated significantly. This paper will not deal in detail with the causes of crises but their effects on transport.

The financial market's ability to forecast economic growth: information from sectoral movements

PurposeFinancial market holds superior information that can give insights into the future trajectory of economic growth. Further, identifying sectors that hold the key to future economic growth is important for all economies, but particularly relevant to emerging markets. However, unlike existing studies, the paper provides new insights into the forward-oriented nexus between financial markets and economic growth.Design/methodology/approachThis paper takes a forward-looking approach of using financial market information to predict future economic growth. The authors use ARDL modeling approach to predict economic growth using the information from stock market sectoral returns.FindingsThe authors find that sectoral stock returns significantly improve economic growth forecasts. However, the forecasting superiority is not uniform across sectors and horizons. Auto, consumers' spending, materials and realty sectors provide the most forecasting gains. In contrast, banking, capital goods and industrial sectors provide superior forecasts, but only at horizons beyond one year. The authors also find that the forecast superiority of sectors at longer horizons is inversely related to volatility.Research limitations/implicationsResearch highlights the need for sector-focused policy actions in driving economic growth. Further, the findings of the paper identify sectors that drive short-, medium- and long-term economic growth.Practical implicationsThere is a significant heterogeneity among different sectors and across horizons in predicting economic growth. Results suggest that targeted policy actions in sectors like materials, metals, oil and gas, and realty are key in driving economic growth. Further, policies geared toward the grassroots industries are at least as beneficial as the large-scale industries. Evidence also suggests the need for an active fiscal policy to address infrastructural bottlenecks in primary industries like basic materials and energy. Evidence nevertheless does not undermine the role of monetary policy actions.Originality/valueUnlike any paper till date, the innovation of the paper is that it takes an ARDL modeling approach to measure stock market sectoral returns' ability to forecast economic growth several months ahead in the future. Though the paper considers the Indian case, the innovation and contribution extents to the entire field of economic studies.

FACTORS THAT AFFECT FINANCIAL WELL-BEING IN MASTER PROGRAM STUDENTS

This study aims to analyze the factors that affect financial well-being. The variables used are financial knowledge, financial behavior, financial ability, financial well-being and happiness. The sample uses data from five universities in West Jakarta. The analysis used uses the Structural Equation Model (SEM) which is tested using AMOS software. The results of the study show that: Financial knowledge has a significant negative effect on financial behavior and financial ability. In addition, financial knowledge has a significantly positive effect on financial well-being. Financial ability has a significantly positive effect on financial well-being. And in the final result, financial well-being has a significantly positive effect on happiness Increasing in financial well-being needs to be balanced with good financial knowledge as a basis for decision making. Improvements can be made by reading books about finance, attending financial training, workshops, and learning from previous experiences. Because a high level of knowledge can increase a person's confidence in making decisions to carry out financial behavior such as saving, investing and others.