METHODOLOGY for ASSESSING the FINANCIAL SECURITY of ENTERPRISES in the POST-PANDEMIC PERIOD of DIGITAL ECONOMY

The article considers the approaches to assessing the financial security of enterprises presented in the literature, determines the rsistance of the textile industry of Uzbekistan to the negative impact of the coronavirus pandemic on the basis of statistical data, and reveals a significant differentiation of textile industry enterprises in terms of financial stability. Based on data on small enterprises in the textile industry of Uzbekistan, a method for assessing the financial security of an enterprise in the post-pandemic period is proposed and tested, taking into account the complex influence of non-financial parameters of economic security and assessing the deviations of the economic situation at a given enterprise from the patterns emerging in the relevant segment of the economy. In this research an econometric model was developed to determine the factors affecting the chemical industry and express their interrelationship, based on the conducted econometric analysis, the directions of development in our country were determined. According to the authors, it is necessary to continue these directions in order to ensure the economic security of industry enterprises in the country. © 2022 ACM.

The Law Alteration on Artificial Intelligence in Reducing Islamic Bank's Profit and Loss Sharing Risk

Artificial Intelligence is categorized into the domain of computer science focused on creating intelligent machines that function like humans. Artificial Intelligence supports institutions including Islamic Financial Services in learning, making decision, and providing useful predictive analytics. The progress and promise that artificial intelligence has made and presented in finance have so far been remarkable, allowing for cheaper, faster, closer, more accessible, more lucrative, and more efficient finance especially during the pandemic covid-19 when people are required to stay at home yet still doing a banking transaction. Despite the incredible progress and promise made possible by advances in financial artificial intelligence, it nevertheless presents some serious perils and limitations. Three categories of risks and limitations involve the rise of virtual threats and cyber conflicts in the financial system, society behavioural changes, and legal amendments that cannot respond to technological developments, especially in developing countries. The main objective of this article is to evaluate the operations of the potential risks that may arise in the use of Artificial Intelligence in Islamic finance services, especially dealing with the legal arrangement that is supposed to be in line with business development. Indonesia is a country that adheres to civil law system, in which every legal arrangement is supposed to be based on written law. The lack of this legal system is where the speed of legal changes cannot keep up with the pace of technological development, which is present as a hinder to the development of Artificial Intelligence in the financial system. This article concludes that Artificial Intelligence will have a huge impact in the future on the Islamic Finance industry, but in Indonesian context, it still needs various efforts to reduce the potential risk that eventually has a big impact on the progress of Islamic banks. © 2022, University of Muhammadiyah Malang. All rights reserved.

Crisis management in times of uncertain supply and value chains

Supply chain managers are forced to develop crisis-induced strategies due to the complexity of crises, as opposed to the more traditional strategies that prioritize competitive priorities. The increasing frequency and severity of recent crises, such as the coronavirus outbreaks, widespread product recalls, and financial crises, highlight the need for introspective and retrospective socio-economic insights on the contexts, priorities, and themes of supply chain management in times of crisis. This article's goal is to review the literature on supply chain management during times of crisis, organizing the relevant body of scholarly work in a systematic way, outlining current research methodologies, capturing strategic priorities and themes of complexity in research studies, and highlighting opportunities for additional research. Four factors for restorative priorities are identified by the review, which is based on a systematic analysis of 250 academic publications from 1996 to 2021 and reflects operations strategy in times of crisis: Critical supplies with important services, prompt action with restoration, safety with security, and traceability with transparency are just a few examples. The analysis also reveals that network configurations and business cycle complexity, optimal choices and provisioning system complexity, complicated learning processes and demand forecast are all sources of operational complexity during crises. The build-to-cycle, organic capabilities, and operational mindfulness framings for supply chain management in emergency situations are suggested with the use of review insights. The article ends with suggestions for future research on supply chain improvements, diagnosis, solidarity, mapping, temporariness, and thresholds, as well as optimal selection issues on connecting crisis network allocations with cross-functionalities and connecting crisis systems investments with liabilities.

Performance of IPOs During Covid-19 Pandemic and Factors Affecting Investors' Perception

Initial Public Offering (IPO) is a fund-raising tool through which a company gets listed for the first time under SEBI regulation and issues IPOs to raise funds from the public. The shift from a privately-owned to a publicly-owned firm via an IPO is the most significant event in a company's life (Pagano et al., 1998). In an IPO investment, there is limited historical data to analyze and predict the future performance of the company;hence it becomes a risky investment for the investors as they cannot predict how the shares will perform in the future. Most companies that go for an IPO are in the growth or expansion phase so it becomes more difficult to predict their market position and performance in the future, which leads to uncertainty in deriving their future value. Also, most IPOs are of companies going through a transitory growth period, and are therefore subject to additional uncertainty regarding their future value. This study analyzes the performance of the IPOs issued during the Covid-19 pandemic, when the markets across the world faced massive disruptions. The IPOs from various sectors like finance, technology, service, infrastructure, food, pharmaceutical and information technology were considered for the study. The study also analyzes the factors affecting investor perception towards investment in an IPO. The study considered the IPOs issued during the pandemic, and their performance on the listing day was measured by considering issue price, listing price and closing price. It was observed that 90% of the IPOs selected performed well during the listing day and 10% underperformed. It was also found that factors like company brand, company sector, fundamental analysis, company ratings, expert opinion and stock market conditions had a positive impact on the investors' decision to invest in an IPO. The study also revealed that factors like risk factor in primary market, returns on IPO on the listing day and Gray Market Premium have no significant impact on the investors' perception.

FINANCIAL SECURITY in SMALL BUSINESS in PERIOD of DIGITAL ECONOMY: In CASE of UZBEKISTAN

In this paper has been proposed a methodology for ensuring the financial security of enterprises in the context of recession caused by the COVID-19 pandemic. Based on pre-crisis data related to the new coronavirus infection pandemic and multi-component modeling of the dynamics of industrial production in the Republic of Uzbekistan during the "corona crisis,"this study seeks to identify the dynamics of growth by economic activity type and recovery rate in order to identify areas of state support for industrial production. In this paper has been investigated issues of financial security management of textile enterprises. On the basis of secondary statistics, the growth of textile production in the regions of the Republic of Uzbekistan in 2008-2020 was analyzed and the factors influencing it were identified. By the author have been presented the main tasks and conditions for the financial security of enterprises, as well as developed scientific and practical recommendations for eliminating factors affecting the financial security of textile enterprises. © 2022 Owner/Author.

What's Left in Your List? An Analysis of Business Database Holdings, Funding Sources, Cancelations, and the Impact of COVID-19 at Top Ranking U.S. Universities

Business and economics related databases and data sets are the most vital resources for supporting scholarly research and the curriculum at colleges and schools of business, and these resources evolve rapidly and are subject to significant price fluctuations. In this study, the top-ranking U.S. universities according to the U.S. News and World Report with Association to Advance Collegiate Schools of Business (AACSB) accreditation were surveyed about their subscriptions to databases, WRDS data sets, and Bloomberg Terminals to create a benchmark. In this survey, these institutions were also asked to provide information about funding source or cost-sharing changes and cancelations brought forth by budgetary pressures from COVID-19. The intent was to provide a snapshot of the impact of COVID-19 but to also provide guidance to institutions facing similar budgetary pressures in a future financial crisis. [ FROM AUTHOR] Copyright of Journal of Business & Finance Librarianship is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Modelling COVID-19 effect on the performance of MENA Health-care sector

PurposeThis study models the effects of the COVID-19 pandemic on the performance of the private health-care sector in the Middle East and North Africa (MENA) countries. This paper aims to address the economic, societal and sustainability of the health-care sector.Design/methodology/approachData were collected from Bloomberg and the sample consists of 534 firm-year observations from 55 firms listed over 2010–2020. The authors apply panel data and control for the country and governance effects.FindingsThe authors found heterogeneous results regarding the three sub-sectors. The pandemic has a negative effect on the accounting and market performances of the "Pharmaceutical companies” and an insignificant impact on "Healthcare Management and Facilities Services.” Moreover, the impact of COVID-19 on health-care firms' performance depends on the country's economic classification and the degree of regulatory and governance frameworks.Research limitations/implicationsFurther studies may consider a larger sample and other regions. It is recommended to address the health-care sector's challenges to invest in new technologies such as "digital twin” and predictive and personalized medicine. It is worth testing model development theory and its effects on speeding up and designing models to ensure the proper functioning and developing mathematics to determine uncertainties in patient data and model predictions.Originality/valueTo the best of the authors' knowledge, this paper is novel as it is unique in modeling the impact of COVID-19 on the health-care public companies in the MENA region. The findings pinpoint firms' and countries' heterogeneous impacts on financial and market performances.

Lessons for the Age of Consequences: COVID-19 and the Macroeconomy

Comparative empirical evidence for 22 OECD countries shows that country differences in cumulative mortality impacts of SARS-CoV-2 are caused by weaknesses in public health competences, pre-existing variances in structural socio-economic and public health vulnerabilities, and the presence of fiscal constraints. Remarkably, the (fiscally non-constrained) U.S. and the U.K. stand out, as they experience mortality outcomes similar to those of fiscally-constrained countries. High COVID19 mortality in the U.S. and the U.K. is due to pre-existing socio-economic and public health vulnerabilities, created by the following macroeconomic policy errors: (a) a deadly emphasis on fiscal austerity (which diminished public health capacities, damaged public health and deepened inequalities);(b) an obsessive belief in a trade-off between ‘efficiency' and ‘equity', which is mostly used to justify extreme inequality;(c) a complicit endorsement by mainstream macro of the unchecked power over monetary and fiscal policy-making of global finance and the rentier class;and (d) an unhealthy aversion to raising taxes, which deceives the public about the necessity to raise taxes to counter the excessive liquidity preference of the rentiers and to realign the interests of finance and of the real economy. The paper concludes by outlining a few lessons for a saner macroeconomics.

FAIR TAXATION UNDER THE GLOBAL ANTI-BASE EROSION RULES?

In 2021 the OECD launched the Global Minimum Company Tax to implement the Action 1 of the BEPS Project. This instrument has seen as a good mechanism to prevent company avoiding taxes at the global level and to stop existence of the harmful tax regimes worldwide, as well as a good mechanism to achieve fair taxation in the era of global digitalization. However, the broke-out of the COVID-19 pandemic and, consequently, the close of the national borders, then armed conflict between Russia and Ukraine, boost financial crisis and the crises in almost all social and industrial spheres at the global level. Such unwilling trend, between all, has influenced behavior of the companies and the initial optimism of the OECD and other international organizations that the global minimum company tax, at the very end, would end existence of the harmful tax regimes, tax avoidance and unfair taxation, dropped significantly. Therefore, at the very end of the 2022 and the beginning of the 2023, the OECD launched consultation document on tax certainty in the application of the Pillar Two of the global minimum tax known as a GloBE (Global Anti-Base Erosion) Model Rules. This paper deals with mentioned issue and actual problems that the application of the GLoBE rules is faced with.

Sovereign Debt Crisis in Sri Lanka and Bangladesh: A Comparative Study

Using IMF's World Economic Outlook (WEO) data for the macroeconomic variables, this study comparatively examines the sovereign debt crises in Sri Lanka and Bangladesh. It identifies different macroeconomic factors related to the sovereign debt crisis, investigates their interrelations, and explores if their debt crises are similar. It shows that the general revenue to Gross Domestic Product (GDP) ratios of Sri Lanka degraded to converge with the upgrading status of Bangladesh during the Covid-19 period. Since 2010, Sri Lanka has maintained a well-off economic status with per capita GDP, while Bangladesh has a long way to go yet. The general expenses to GDP ratio of Sri Lanka shows stresses on its GDP, while that of Bangladesh is more relaxed. Sri Lanka has overstressed debt to GDP ratio along with Balance of Payments (BOP) deficits, while Bangladesh has continued traces of managed debt to GDP ratio along with BOP surpluses. Bangladesh has taken enough precautions in their sovereign debt management, compared to Sri Lanka. Even in 2020, Bangladesh maintained progressive investment track over the threshold limit of 30%, while Sri Lanka fell into a debt trap. Following the pandemic, Bangladesh has enjoyed a gross national savings to GDP ratio of above the threshold of 25%, while Sri Lanka is going through a critical phase. It shows governance myopia of Bangladesh regarding its imbalanced current account positions, while governance myopia of Sri Lanka exists with reference to its imbalanced current account positions, adverse gross debts, and government borrowing as well.

Zero-COVID policy and stock market sectoral performance in China

With the outbreak of COVID-19, the Chinese government implemented the "zero-COVID” policy as a measure to curb the spread of the virus. The different measures of the policy include widespread testing, contact tracing, and strict quarantine and isolation protocols. In view of recent changes in COVID-19 trends and other economic indicators, the Chinese government withdrew significant provisions of the zero-COVID policy in China. The present study investigates the sectoral performance of the Chinese stock market after the withdrawal of the zero-COVID policy. The study considers eighteen sectoral indices of the Shenzhen Stock Exchange of China as a sample and applies the event study methodology to study the impact of the policy withdrawal on the stock prices performance. The results of the study indicate that sectors such as hotel, consumer staples, the financial sector, real estate, media, and culture have reported significant positive movement after the withdrawal of the zero-COVID policy, while other sectors such as consumer discretionary, energy, healthcare, information technology, manufacturing, mining, technology, telecom, transportation, utilities, wholesale, and retail have shown insignificant reactions. These results also indicate that when the COVID-19 outbreak happened in China, different sectors of the economy reacted negatively except the retail and wholesale sectors, while with the withdrawal of the zero-COVID policy by the Chinese government, the reaction of investors is optimistic as different sectors are reporting either positive reactions in the stock price movement or no reaction. © Prashant Sharma, Surender Kumar, 2023.

A study of optimal portfolio selection using quadratic programming modelling: Evidence from Indian pharmaceutical industry during COVID-19 times

Purpose: The present study aims to test the Quadratic Programming model for Optimal Portfolio selection empirically. Need for the Study: All the investors who buy financial products are motivated to obtain higher profits or, in other words, to maximise their returns. However, the high returns are often accompanied by higher risks, and avoiding such risks has become the primary concern for all investors. There is a great need for such a model to maximise profits and minimise risk, which can help design an investment portfolio with minimum risk and maximum return. The Quadratic Programming model is one such model which can be applied for selected shares to build an optimised portfolio. Methodology: This study optimises the stock samples using a two-level screening of correlation coefficient and coefficient of variation. The monthly closing prices of the NSE-listed Indian pharmaceutical stocks from December 2019 to January 2022 have been used as sample data. The Lagrange Multiplier method is used to apply the model to achieve the optimal portfolio solution. Based on the market reality, the transaction costs have also been considered. The Quadratic programming model is further optimised to achieve the optimal portfolio for the select stocks. Findings: The traditional portfolio theory and the modified quadratic model gives similar and consistent results. In other words, the modified quadratic model asserts the accuracy of the conventional portfolio model. The portfolio constructed in the present study gives a return much higher than the return of the benchmark portfolio of Nifty Fifty, indicating the usefulness of applying the Quadratic Programming model. Practical Implications: The construction of an optimal portfolio using the traditional or modified Quadratic model can help investors make rational investment decisions for better returns with lower risks. © 2023 by Chetna and Dhiraj Sharma.

Factors affecting the use of accounting and finance technology during the pandemic crisis

The recent COVID-19 pandemic, which led to lockdowns and new working norms, has influenced business and accounting transactions in significant ways. This phenomenon and its longer-term impacts are still under-researched and remain unexplored in emerging countries, particularly Malaysia. Therefore, the current study intended to determine the actions taken by Malaysian organizations, specifically in their accounting and finance functions, in response to the COVID-19 crisis. Online survey questionnaires were distributed to collect data. The questionnaires comprised several sections, including demographic information of the respondents and factors affecting users' intentions to use technology for accounting and finance functions in the face of the COVID-19 crisis. This research adopted the Unified Theory of Acceptance and Use of Technology (UTAUT) model as a theoretical basis from which to evaluate the research objectives. The findings showed that only performance expectancy is related to user intention, while other factors, such as effort, attitude, social influence, self-efficacy, and anxiety, display the opposite effect. This empirical study suggests that accounting and finance functions in Malaysia still lag behind in terms of the technology used by employees. In addition, organizations, particularly government departments, are not ready to adopt a fully integrated scientific accounting and finance system. © 2023 Conscientia Beam. All Rights Reserved.

Liquidity effects of COVID-19 in the European tourism industry

We examine the influence of COVID-19 on liquidity of the tourism industry in the UK, Europe and Spain. In the short run, the pandemic causes significant negative stock market reaction in the tourism industry. In the long run, the tourism industry recovers from the fall in returns due to the pandemic. Liquidity significantly decreases due to COVID-19, for the UK, European and Spanish tourism markets, even when we encapsulate the influence of stock prices, trading volume and volatility. Our findings suggest that European equity markets have declined in efficiency due to the pandemic in the tourism industry. Our empirical analysis has important implications for policy makers. Tourism recovery strategies from the pandemic are required with immediate effect in order to restore the valuation of the tourism companies, given that the negative stock price reaction and lack of liquidity significantly reduces market value of the tourism firms across Europe. In order for the tourism industry to fully recover from COVID-19, investors need to have the confidence to buy large volumes of tourism company stocks, which will increase the price and liquidity, leading to a substantial increase in market capitalization.

MFS Design in Appstore-enabled Smart Featurephones for Low-literate, Marginalized Communities

Mobile Financial Services (MFS) has gained significant popularity during the COVID-19 pandemic, especially among marginalized and low-income, low-literate communities around the world. Such communities have not been traditionally considered while designing MFS services via smartphone apps or USSD services in featurephones. Financial constraints limit such end-users towards basic featurephones, where recent appstore support has made it possible to deploy app-based MFS solutions beyond USSD. This new featurephone platform is a relatively underexplored area in terms of addressing design issues related to aforementioned end-users while developing MFS solutions. Our work addresses this gap by presenting qualitative findings on barriers to technology access focused on MFS solutions in marginal communities. We present a prototype non-USSD, app-based solution on an appstore-supported featurephone platform designed via a human-centered approach. This work has the potential to increase the financial inclusivity of marginalized communities in cashless MFS transactions via low-cost, appstore-enabled featurephones. © 2023 ACM.

Evolution and trends in entrepreneurial finance: reflections and insights from COVID-19

Entrepreneurship contributes substantially to the modernization and commercial development of an economy. Access to financial resources is key to the successful operation of new ventures which is arrested by COVID-19. Therefore, the present study aims to address the architecture of entrepreneurial finance since the inception of COVID-19. The research adopts a Systematic literature review approach to study the 127 articles chosen for analysis. The findings reveal the usage of novel sources of finance such as crowdfunding, and Initial Coin Offerings during COVID-19. Apart from this, the research also encapsulates the contributions of the articles on venture capital, P2P lending, and angel finance. Also, the study highlights promising avenues for future research focusing on different financing options and drivers of financing choices. © 2023 Informa UK Limited, trading as Taylor & Francis Group.

Behavioral finance: comparison of the level of financial risk aversion among healthcare professionals

Behavioral Finance is considered the new era of finance. Supported by its assumptions, this work aimed to detect and compare the levels of risk aversion in financial decisions of two groups of health professionals: one composed of those exposed to emergency situations (front line in the care of Covid-19 patients) and the other composed of those who work in non-urgent conventional hospital situations. With the application of a questionnaire to professionals from both groups, responses were obtained that made it possible to test the hypothesis that work in emergency situations generates a different influence on the feeling of risk aversion than conventional non-urgent hospital work. The results of the statistical analysis and the chi-square test revealed that there is a small difference in risk aversion between professionals in both groups, without showing, however, statistical significance. The results also revealed evidence that professionals who act/acted on the frontline against Covid19, in situations of gain, accepted to take greater risks, aiming at greater financial reward. The results also revealed evidence that professionals who act/acted on the frontline against Covid19, in situations of gain, accepted to take greater risks, aiming at greater financial reward. In situations involving losses, these same professionals were more risk averse than those in the other group.

Economic policy uncertainty and international tourist arrivals: a disaggregated analysis of the Croatian Adriatic coast

This is the first study to examine the differential impact of Croatian and European economic policy uncertainty indices while controlling for the real effective exchange rate and industrial production on international tourist arrivals for the seven coastal counties of Croatia and the country as a whole. The Toda-Yamamoto long-run causality modeling approach with a Fourier approximation is employed to capture structural shifts. This approach is particularly useful in light of the disruption from the COVID-19 pandemic on the tourism sector. The results show unidirectional causality from both Croatian and European economic policy uncertainty indices to international tourist arrivals with the impact of the economic policy uncertainty indices negative and statistically significant across the respective coastal counties. Moreover, the findings show that European economic policy uncertainty exhibits a greater adverse impact on international tourist arrivals relative to Croatian economic policy uncertainty.

The aleatory moment of finance and the structural production of class-based inequality

This article considers the conceptual role that contingency plays in class-based inequality, by examining financial insecurity in the UK following the 2008 financial crisis, austerity, and the COVID-19 pandemic. Drawing on Althusser's aleatory materialism, I counter postmodern and poststructuralist ideas of contingency as a universally disruptive challenge to power and stratification, showing instead how a pervasive sense of uncertainty drives working households into debt and diminishes savings, creating ongoing financial strain or poverty. Using Althusser's concept of the 'encounter', I note how the emergence of consumer finance is historically contingent, but has become normalized in the wage relation. Financial risk, with its potential to yield high rewards for institutional investors and financial firms trading stocks, securities, and assets, amplifies uncertainty that working households face in socially reproducing themselves, because it forces those who draw an income as their main source of wealth to manage the potential risk of loss on an untradeable commodity. The encounter between financial institutions and working households is thus unevenly weighted, with precarious households unable to offload risk in unpredictable times. I connect this aleatory reading of inequality with Althusser's earlier work on contradiction and overdetermination, to understand the implications of stratification on crisis and change.

Effect of Remittance Inflows on External Debt in Developing Countries

This paper analyzes the effect of remittance inflows on external debt in developing countries, by identifying international reserves as a potential transmission channel. Using panel data over the period 1970–2017 and covering 50 low-and middle-income countries worldwide, we find a positive and significant effect of remittance inflows on the external debt-to-GDP ratio. We also find a negative and significant effect of international reserves on external debt. After controlling for international reserves, the effect of remittance inflows on external debt increases;it remains positive and significant. The results suggest that the role of international reserves as a self-insurance mechanism, and the Dutch disease effect related to remittance inflows are at play. In addition, we find negative and significant effects of economic growth and savings-investment gap on external debt. We also find positive and significant effects of the nominal exchange rate and the United States lending interest rate on external debt. We discuss the policy implications of these findings, while highlighting factors that policymakers should focus on for containing external debt in developing countries in the post-COVID-19.