Investment Losses Research Articles

Migration of Health Workers and Its Impacts on the Nigerian Health Care Sector: Protocol for a Scoping Review.

Health worker migration from Nigeria poses significant challenges to the Nigerian health care sector and has far-reaching implications for health care systems globally. Understanding the factors driving migration, its effects on health care delivery, and potential policy interventions is critical for addressing this complex issue. This study aims to comprehensively examine the factors encouraging the emigration of Nigerian health workers, map out the effects of health worker migration on the Nigerian health system, document the loss of investment in health training and education resulting from migration, identify relevant policy initiatives addressing migration, determine the effects of Nigerian health worker migration on destination countries, and identify the benefits and demerits to Nigeria of health worker migration. This study will follow the Joanna Briggs Institute methodology. A search strategy will retrieve published studies from MEDLINE, CINAHL, Embase, Global Health, Academic Search Premiere, and Web of Science. Unpublished studies will be sourced from dissertations and theses. A comprehensive search will involve keyword scans and citation searches. Exclusion criteria will filter out irrelevant studies, such as studies unrelated to the international migration of health workers and non-English language studies. A total of 2 independent reviewers will screen the titles and abstracts and then review the full text. Data will be extracted from the included studies using a data extraction tool developed for this study. The study selection process will be shown using a PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) flowchart. While the traditional risk of bias assessments is not applied to scoping reviews, the quality of included studies will be evaluated based on methodological transparency. The process of selecting studies will be shown using a PRISMA ScR flowchart, and information gathering will be done through a charting table that has been prepared in advance. We plan to collect data from January 2025 to March 2025 and present the results to examine publication patterns and study details. The final summary is expected to be released by the summer of 2025. It will provide an in-depth look at how health worker migration impacts the health care sector in Nigeria. This study holds immense potential to contribute to understanding health worker migration from Nigeria and inform policy and practice interventions to address its challenges. By synthesizing existing evidence, the scoping review will guide future research and policy efforts to mitigate the adverse effects of migration on health care systems and workforce sustainability. Furthermore, the results will aid in recognizing deficiencies in the existing literature; this will offer a defined path for specific policy measures and methods to retain health care workers effectively and thus support the sustainability of health care systems. PRR1-10.2196/62726.

The role of risk attitudes in shaping digital privacy preferences: evidence from a large-scale survey

This paper investigates the relationship between individuals’ heterogeneous risk attitudes and privacy preferences using survey data from 24,899 respondents. It moves beyond demographic factors to examine how risk attitudes, the key psychological parameters in the utility function that determines consumer behaviors, related to consumers’ privacy decisions. Participants indicated their privacy preferences across eight dimensions, including age privacy, marital status privacy, and privacy preferences in the investment and financial obligation realms. We evaluated their risk attitudes through qualitative assessment and quantitative investment loss tolerances, as well as their risk attitudes towards rare and distant events. The study reveals that individuals with higher risk aversion exhibit more significant privacy concerns, especially regarding financial information. Individuals who perceive climate change—a non-immediate and rare risk—as a threat to their lives are also more likely to exhibit heightened concerns about their privacy. In addition, we observe that while these concerns translate into higher non-disclosure actions, the privacy paradox persists regardless of individuals’ risk attitudes. The findings suggest that privacy policies could be more effective through tailored approaches, including customized privacy settings and targeted educational campaigns that account for individual risk aversion.

Research on diversified fund allocation strategy

Money management is crucial in investing and is an important risk management tool. It can affect the magnitude of an investor's loss from a number of perspectives, including the reasonableness of position management, the effectiveness of capital allocation, the setting of stop-loss strategies, the degree of diversification of investments, and the regular evaluation and adjustment of capital flows. The purpose of this paper is to investigate the capital allocation issue in money management. Through a decade-long history of back-testing and evaluation of multiple indicators, this paper analyzes and compares three different methods of capital allocation. The methods mainly include the equal allocation of funds method, the profitability preference method, and the risk adjustment method. The results show that the Profit Preferred Method performs best in terms of strategy return and risk-adjusted return, while the Risk-Adjusted Method excels in the control of maximum retracement and is suitable for risk-averse investors. Despite the lower returns of the equal distribution method, its stability is still attractive.

A Planning Method for Charging Station Based on Long-Term Charging Load Forecasting of Electric Vehicles

During the planning and construction of electric vehicle charging stations (EVCSs), consideration of the long-term operating revenue loss for investors is often lacking. To address this issue, this study proposes an EVCS planning method that takes into account the potential loss of long-term operating revenues associated with charging facilities. First, the method combines the Bass model with electric vehicle (EV) user travel characteristics to generate a charging load dataset. Then, the cost of profit loss—which represents the EVCS utilization rate—is incorporated into the construction of the objective function. Additionally, a parallel computing method is introduced into the solution algorithm to generate the EVCS planning scheme. Finally, the cost-to-profit ratio of the EVCSs is used as a filtering condition to obtain the optimal EVCS planning scheme. The results show that the EVCS planning scheme considering the profit loss reduces the annual comprehensive cost by 24.25% and 16.93%, and increases the net profit by 22.14% and 24.49%, respectively, when compared to the traditional planning scheme under high and low oil prices. In particular, the charging station strategy proposed in this study has the best effect in the case of high oil prices.

A Literature Review on the Theory of Asymmetric Information

Asymmetric information refers to a situation in which one of the parties involved in a market transaction has more information than the other, which reduces efficiency in resource allocation. The basic reasons are the high cost of information acquisition, blocked information transmission channels, and lack of enough information disclosure. Problems such as adverse selection and moral hazard created by asymmetric information damage the efficiency of the market. Asymmetric information has played a very important role in lending, hotel, and catering. As for the industry of lending, the existence of asymmetric information between borrowers and lenders would make it easy for high-risk borrowers to obtain loans and, further, increase the risk of default. Asymmetric information within the hotel industry makes it hard for consumers to judge the hotels service quality and price rationality. Asymmetric information affects investment decisions and enterprise efficiency in the catering industry, distorting valuation and causing investment loss. Addressing asymmetric information in various industries is crucial for fostering market transparency and efficiency. To achieve this, researchers must employ both signaling and screening models to mitigate the adverse effects of information asymmetry. This paper examines historical literature on asymmetric information across diverse industries and delineates strategies to enhance information transparency and promote more informed decision-making.

A multicriteria decision support method for evaluating radical schemes at conceptual design stage

Radical innovation can confer a competitive advantage upon enterprises, enabling them to advance in an increasingly competitive marketplace. However, due to the high uncertainty in the prospect of radical innovation, radical schemes are highly susceptible to failure and investment loss. Enterprises that are inclined to implement a radical scheme must confront the challenging task of accurately evaluating the investment value of such an initiative. This paper seeks to evaluate the viability of investing in radical schemes by analyzing the changes in their characteristics relative to mainstream products. Initially, a preliminary model for evaluating the market potential of radical schemes is established through the collection and analysis of existing case studies. Subsequently, for the schemes with high expected market potential in the preliminary evaluation, the value potential of the schemes is further examined through data envelopment analysis based on mining of competitive schemes from the patent database. Finally, the feasibility of the proposed method is validated through an evaluation of two illustrative cases.

ANALYSIS OF RISK IN THE LIVESTOCK OF THE STATE OF RIO DE JANEIRO AND BRAZIL BETWEEN JANUARY 2007 AND MARCH 2020

The article aims to analyze the exposure to risks that livestock farmers in the state of Rio de Janeiro face to Brazil using the Value at Risk (VaR) metric as a measure of risk and price return for cattle from January 2007 to March 2020, providing an expanded information that allows for presenting the level of risk of the activity between the analyzed states and comparing their levels. Through this metric, it is possible to have the total volume of losses that can occur for different types of assets and portfolios, including commodities. The results showed that ranchers in the state of Rio de Janeiro are exposed to a greater probability of financial losses when compared to other Brazilian ranchers. While in the state of Rio de Janeiro there is a 95% probability of finding maximum losses in investment of 4.81%, in Brazil the maximum losses were 3.09% for the 95% statistical confidence level. Finally, the non-parametric VaR metric of historical simulation proved to be a valuable tool in the risk management of livestock.

Whether Social Media Negative Emotion Could Forecast the Risk of Enterprise Finance: Evidence from Baidu Tieba

In the context of the current era, as a new form of information dissemination, social media has penetrated into every field of people’s life, and its impact on the financial industry has also attracted more and more scholars’ attention. From the perspective of social media, this paper focuses on the impact and prediction of negative emotions reflected by social media on corporate financial risk. In this paper, Pearson correlation coefficient is used for correlation analysis, and a linear regression model is built to analyze the relationship between negative social media and corporate finance. The results show that enterprises and investors can judge the financial risks of enterprises through the negative emotions of social media, thus reducing the losses of enterprises and investors. The conclusions of this study can improve the risk avoidance ability of enterprises to avoid negative emotions on social media, and provide important reference value for future operations.

The impact of COVID-19 and the ERS on superannuation savings in Australia

COVID-19 has had a significant economic impact on Australia, and consequently on the superannuation savings of many individuals. To examine COVID-19’s heterogeneous effects across different industries and demographic groups, the impact on superannuation was assessed for 12 representative cameos using a range of Australian data, including Household, Income and Labour Dynamics in Australia (HILDA), ATO, ABS and APRA sources. The marginal impacts of sudden job loss, investment losses, investment switching and participation in the Early Release of Superannuation (ERS) scheme were each investigated in turn. The cameos highlight that some demographic cohorts faced several compounding challenges. For example, many ERS applicants were already facing financial hardship, were more likely to be younger, and faced a higher risk of unemployment. This highlights that COVID-19 has impacted different cohorts in different ways, depending on age, employment status and industry, and family situation, among other factors. JEL Classification: D14, D15, J26, J32

FINANCIAL FEASIBILITY OF FOOD PROCESSING INDUSTRY: LESSONS FROM TOFU INDUSTRY IN TRUNAN VILLAGE, MAGELANG

This study aims to examine the financial analysis of the Food Processing Industry in Tofu Center of Trunan Village in an effort to maintain the calculation of operational costs, profit and loss, and investment in minimizing investment losses. In particular, this study aims to calculate the Net Present Value (NPV), Internal Rate of Return (IRR), Payback Period (PP), and Profitability Index (PI) in the Processed Food Industry in the Tofu Center of Trunan Village. The urgency of this research is to maintain the sustainability of the tofu industry in Trunan Village, which is one of the leading MSME centers in Magelang City and in an effort to maintain food security. Based on the results of the analysis it was found that financially the MSME management in the Tofu Center Food Processing Industry in Trunan Village did not fulfill the feasibility aspect. Net Present Value (Rp 2,147,030,794), Internal Rate of Return shows 2%, Payback Period 2 Years 8 months, and Profitability Index 4.10. Keywords: Feasibility Study, NPV, IRR, PP, PI

Effect of Market-Wide Investor Sentiment on South African Government Bond Indices of Varying Maturities under Changing Market Conditions

The excess levels of investor participation coupled with irrational behaviour in the South African bond market causes excess volatility, which in turn exposes investors to losses. Consequently, the study aims to examine the effect of market-wide investor sentiment on government bond index returns of varying maturities under changing market conditions. This study constructs a new market-wide investor sentiment index for South Africa and uses the two-state Markov regime-switching model for the sample period 2007/03 to 2024/01. The findings illustrate that the effect investor sentiment has on government bond indices returns of varying maturities is regime-specific and time-varying. For instance, the 1–3-year government index return and the over-12-year government bond index were negatively affected by investor sentiment in a bull market condition and not in a bear market condition. Moreover, the bullish market condition prevailed among the returns of selected government bond indices of varying maturities. The findings suggest that the government bond market is adaptive, as proposed by AMH, and contains alternating efficiencies. The study contributes to the emerging market literature, which is limited. That being said, it uses market-wide investor sentiment as a tool to make pronunciations on asset selection, portfolio formulation, and portfolio diversification, which assists in limiting investor losses. Moreover, the findings of the study contribute to settling the debate surrounding the efficiency of bond markets and the effect between market-wide sentiment and bond index returns in South Africa. That being said, it is nonlinear, which is a better modelled using nonlinear models and alternates with market conditions, making the government bond market adaptive.

Leveraging corporate governance characteristics for stock crash risk assessment

Causing considerable losses for individual investors, stock crashes are also potential triggers for wider financial crises. In contrast to existing research that primarily focuses on specific corporate governance characteristics in relation to stock crash risk, in this study, we construct a set of corporate governance attributes and employ machine learning techniques for a comprehensive assessment of stock crash risk. Through empirical analysis in the Chinese stock market, we find that our corporate governance attributes are effective indicators of stock crash risk, yielding statistically significant and economically meaningful crash risk assessment. Additionally, our heterogeneity tests suggest that firms with less concentrated shareholding result in superior assessment accuracy. This observation is consistent with prior findings that increased retail investor participation enhances corporate governance transparency, thereby contributing to better assessment performance. Industry-wise, the performance of crash risk assessment for real estate companies is higher than that for cultural, sports, and entertainment sectors. We speculate that these variations stem from industry-specific factors, such as business logic, operational models, and profit mechanisms. Our results also suggest that characteristics related to shareholder meetings are pivotal in assessing crash risks for manufacturing companies, while board-related features are essential for real estate firms. Overall, this study contributes to current literature by validating the feasibility of employing corporate governance characteristics to assess crash risk and by exploring the economic value of crash risk assessment. Furthermore, we discuss several valuable insights into the Chinese stock market through heterogeneity analysis.

Theranos: the Ethics of Innovation and Deception in Healthcare Technology

The case of Theranos, a health technology company founded by Elizabeth Holmes, presents a profound ethical dilemma that exemplifies the consequences of misrepresentation in healthcare innovation. This analysis examines the company's fraudulent claims regarding its blood-testing technology, which promised groundbreaking results using minimal blood samples. Initially lauded for its potential, Theranos attracted significant investment and partnerships before facing growing scrutiny due to internal whistleblower accounts and investigative journalism. The ethical issues at the core of this case involve the deliberate falsification of leadership's technological capabilities, which leads to harm to patients and significant financial losses for investors. The methodology of this study involved a comprehensive review of academic literature identified through Google Scholar, applying inclusion criteria that focused on ethical analysis, corporate leadership, and regulatory oversight. The selected documents were analyzed using Atlas.ti to code critical themes such as corporate misrepresentation, stakeholder rights, and regulatory failures. Utilizing a multi-faceted ethical analysis—incorporating utilitarian, deontological, virtue ethics, and rights-based perspectives—this study explores the failures of corporate leadership in adhering to professional and ethical obligations. It critically evaluates the responses by stakeholders, including actions taken by regulatory bodies and law enforcement, and discusses the lessons learned for the broader health technology sector. The study concludes by recommending more robust internal governance, transparent leadership, and proactive regulatory oversight as essential measures to prevent future ethical lapses in the industry. The analysis contributes to understanding ethics' critical role in maintaining trust and accountability within healthcare innovation.The case of Theranos, a health technology company founded by Elizabeth Holmes, presents a profound ethical dilemma that exemplifies the consequences of misrepresentation in healthcare innovation. This analysis examines the company's fraudulent claims regarding its blood-testing technology, which promised groundbreaking results using minimal blood samples. Initially lauded for its potential, Theranos attracted significant investment and partnerships before facing growing scrutiny due to internal whistleblower accounts and investigative journalism. The ethical issues at the core of this case involve the deliberate falsification of leadership's technological capabilities, which leads to harm to patients and significant financial losses for investors. The methodology of this study involved a comprehensive review of academic literature identified through Google Scholar, applying inclusion criteria that focused on ethical analysis, corporate leadership, and regulatory oversight. The selected documents were analyzed using Atlas.ti to code critical themes such as corporate misrepresentation, stakeholder rights, and regulatory failures. Utilizing a multi-faceted ethical analysis—incorporating utilitarian, deontological, virtue ethics, and rights-based perspectives—this study explores the failures of corporate leadership in adhering to professional and ethical obligations. It critically evaluates the responses by stakeholders, including actions taken by regulatory bodies and law enforcement, and discusses the lessons learned for the broader health technology sector. The study concludes by recommending more robust internal governance, transparent leadership, and proactive regulatory oversight as essential measures to prevent future ethical lapses in the industry. The analysis contributes to understanding ethics' critical role in maintaining trust and accountability within healthcare innovation.

Bibliometric Analysis of Islamic Crowdfunding: A Literature Review of Its Journey.

The potential of Islamic crowdfunding to encourage the development of Islamic fintech globally, even in countries with non-Muslim majority populations, needs to be examined in a literature study on this issue. More extensive research is needed regarding the factors that most reliably predict the success of Islamic crowdfunding, such as compliance with Islamic crowdfunding laws, sustainability, and the potential of Islamic finance. This article describes a comprehensive and systematic Literature Review (SLR) regarding papers published in the field of Islamic crowdfunding. This research aims to contribute to a better understanding of Islamic crowdfunding, provide useful information for practitioners, and stimulate further research in the field to increase the success of Islamic crowdfunding. We conducted a review of selected papers to identify gaps and significant issues in Islamic crowdfunding, providing guidance for future researchers. This article review was based on 704 articles retrieved using the keyword "Islamic crowdfunding" from the Scopus database between 2013 and 2022. To minimize bias, we formulated 5 research questions to guide our analysis: RQ1: How do publication and citation rates vary annually? RQ2: How can we determine the most influential studies based on citation counts for each keyword? RQ3: What are the most common subject areas addressed in Islamic crowdfunding literature from 2013 to 2022? RQ4: What are the most frequently used keywords in Scopus documents? RQ5: How are Islamic values discussed in articles related to Islamic crowdfunding? The findings of this research demonstrate that Islamic crowdfunding, characterized by interdisciplinary scholarship, has emerged as an increasingly significant alternative for aiding society and the economy. It contributes to poverty alleviation and the development of specific sectors through channels such as crowdfunding for small and medium enterprises and social projects tailored to meet the diverse needs of Muslims. However, the challenge facing the future development of Sharia crowdfunding is that, despite its benefit of increasing community participation in projects aligned with religious values, it also carries the potential risk of investment losses and non-compliance with Sharia principles. Ways to address the current scarcity of Sharia fintech are also needed, ensuring its broader acceptance across all societal levels, and enhancing Muslims' understanding of compliance with Islamic religious rules, particularly Fiqh law. Urgently needed are specific fiqh regulatory guidelines to ensure that Sharia-compliant crowdfunding adheres to Islamic principles. Government support, particularly through legislation in countries where the majority of the population is Muslim, is crucial to enhance public participation and trust in Sharia crowdfunding.

Tail risk driven by investment losses and exogenous shocks

AbstractConsider a company whose business carries the potential for investment losses and is additionally vulnerable to exogenous shocks. The unpredictability of the shocks makes it challenging for both the company and the regulator to accurately assess their impact, potentially leading to an underestimation of solvency capital when employing traditional approaches. In this paper, we utilize a stylized model to conduct an extreme value analysis of the tail risk of the company under a Fréchet-type and a Gumbel-type shock. Our main results explicitly demonstrate the different roles of investment risk and shock risk in driving large losses. Furthermore, we derive asymptotic estimates for the value at risk and expected shortfall of the total loss. Numerical studies are conducted to examine the accuracy of the obtained estimates.

Economic Behavioral Anomalies In Cryptocurrency Transactions During The Covid-19 Pandemic

The COVID-19 pandemic has had a significant impact on various aspects of life, including financial markets. The cryptocurrency market, already renowned for its volatility, experienced a surge in activity and significant changes in investor behavior during this period. This research aims to analyze various economic behavioral anomalies that emerged in cryptocurrency transactions during the COVID-19 pandemic. This research uses a literature study method to identify several dominant behavioral anomalies, such as FOMO (Fear of Missing Out), Herding Behavior, Noise Trading, Overconfidence, and Anchoring Bias. These behavioral anomalies trigger extreme market volatility, asset bubbles, and financial losses for investors. This research highlights the importance of investor education, market regulation, and technology development to minimize the impact of behavioral anomalies and protect investors in the cryptocurrency market.

Stock price overreaction: evidence from bull and bear markets

PurposeIn this paper, we provide new evidence to strengthen the stock market overreaction hypothesis by examining a new context that has not been explored before. Our research is inspired by the widely held belief that investor sentiment experiences abrupt changes from optimism to pessimism as the market switches between bull and bear states.Design/methodology/approachIf the stock market overreaction hypothesis is correct, it implies that investors are inclined to become excessively optimistic during bull markets and overly pessimistic during bear markets, resulting in overreaction and subsequent market correction. Consequently, the study first develops two testable hypotheses that can be used to uncover the presence of stock market overreaction with subsequent correction. These hypotheses are then tested using long-term data from the US market.FindingsThe study's findings support the hypothesis while also revealing a significant asymmetry in investor overreaction between bull and bear markets. Specifically, our results indicate that investors tend to overreact towards the end of a bear market, and the subsequent bull market starts with a prompt and robust correction. Conversely, investors appear to overreact only towards the end of a prolonged bull market. The correction during a bear market is not confined to its initial phase but extends across its entire duration.Research limitations/implicationsOur study has some limitations related to its focus on investigating stock market overreaction in the US market and analyzing the pattern of mean returns during bull and bear market states. Expanding our study to different global markets would be necessary to understand whether the same stock market overreaction effect exists universally. Furthermore, exploring the relationship between volatility and overreaction during different market phases would be an exciting direction for future research, as it could provide a more complete picture of market dynamics.Practical implicationsOur study confirms the presence of the stock market overreaction effect, which contradicts the efficient market hypothesis. We have observed specific price patterns during bull and bear markets that investors can potentially exploit. However, successfully capitalizing on these patterns depends on accurately predicting the turning points between bull and bear market states.Social implicationsThe results of our study have significant implications for market regulators. Stock market overreactions resulting in market corrections can severely disrupt the market, leading to significant financial losses for investors and undermining investor confidence in the overall market. Further, the existence of overreactions suggests that the stock market may not always be efficient, raising regulatory concerns. Policymakers and regulators may need to implement policies and regulations to mitigate the effects of overreactions and subsequent market corrections.Originality/valueThis paper aims to provide additional support for the stock market overreaction hypothesis using a new setting in which this hypothesis has not been previously investigated.

Asset-level assessment of climate physical risk matters for adaptation finance

Climate physical risk assessment is crucial to inform adaptation policies and finance. However, science-based and transparent solutions to assess climate physical risks are limited, compounding the adaptation gap. This is a main limitation to fill the adaptation gap. We provide a methodology that quantifies physical risks on geolocalized productive assets, considering their exposure to chronic and acute impacts (hurricanes) across the scenarios of the Intergovernmental Panel on Climate Change. Then, we translate asset-level shocks into economic and financial losses. We apply the methodology to Mexico, a country highly exposed to physical risks, recipient of adaptation finance and foreign investments. We show that investor losses are underestimated up to 70% when neglecting asset-level information, and up to 82% when neglecting tail acute risks. Therefore, neglecting the asset-level and acute dimensions of physical risks leads to large errors in the identification of adaptation policy responses, investments and finance tools aimed to build resilience to climate change.

Transformation of land relations in agriculture of the Republic of Kazakhstan: the impact of institutional changes on economic development

Since Kazakhstan gained independence, transformation of land relations in agriculture has been inextricably linked with waves of privatization and introduction of market principles of management. The goal is to study the impact of institutional changes on the process of reforming land resources in agricultural sector of the republic. The methods are based on materials from domestic and foreign analytical reviews, scientific publications, regulations relating to the land issue, and program strategic documents. Quantitative and graphical methods were used to analyze the consequences of institutional reforms in agro-industrial complex in terms of property reorganization, land use, and contribution of agricultural production to the country's GDP. Results - it is substantiated that the breakup of production, logistics and other necessary connections in the first years of Kazakhstan’s independence became a difficult test for agriculture and the loss of significant investments in the gross domestic product by this industry. Modern reality required building new market rules, regulated by the state within the framework of laws. The main stages of regulatory changes that influenced land legal relations in agricultural sector are given. The consequences of past reforms related to the land issue are presented, problems and challenges facing the development of agro-industrial complex of the republic are identified, and recommendations are offered to improve the current situation. Conclusions - it should be understood that the quality of adopted regulations reflecting property rights, including land legislation, directly affects socio-economic and environmental situation, which shows the importance of the institutional system for the economic development of the country, formation of effective socio-economic structure of agricultural sector.

Mathematical model for applying electromagnetic (EM) on a Carreau fluid in a tube: Stimulation to avoid sediment accumulation in oil tanks

AbstractThe purpose of this article is to study the effect of electromagnetic (EM) stimulation on the pipeline, which has an electrical and thermal effect in addition to the chemical reaction on the crude oil and makes a sinusoidal wave on the wall. Modeling the crude oil as Carreau fluid is done. EM stimulation is an effective and safe technology that can be used to improve fluid movement in a variety of industrial applications. The flow analysis by applying EM may avoid blocking the crude oil pipeline which leads to a loss of production and capital investment. The basic partial differential equations of momentum, temperature and concentration are reduced to a system of nonlinear partial differential equations, which is solved numerically by using the Rung–Kutta–Merson method with Newton iteration in a shooting and matching technique under the assumption of long wavelength and the effect of physical implanted parameters is represented through charts for velocity, temperature, and concentration and numerical application.