Digital currency is considered a form of currency which is used in the digital world such as digital forms or electronic devices. Several terms are synonyms for digital currency like digital money, electronic money, and cyber cash. Accurate prediction of the digital currency is an urgent necessity due to its impacts on the economic community. The electronic economy is very dangerous and must be approached with great caution, so as to avoid or minimize the risks that occur in such cases. (...) Deep neural network algorithm was improved to predict the Bitcoin price and then achieve the main goal of reducing financial risks to proceed with electronic business, and good estimation was achieved by using informative data such as transactions and currency return. The proposed method extracted features of related Bitcoin and used the informative ones. Transaction plan considered building nodes in terms of network. Development of deep learning algorithms opens the horizons for the development of electronic businesses that use digital currency. The proposed method achieved worthy results in terms of accuracy and correct prediction and offers the prospect of other research in this area. (shrink)

The financial risk information diffuses through various kinds of social networks, such as Twitter and Facebook. Individuals transmit the financial risk information which can migrate among different platforms or forums. In this paper, we propose a financial risk information spreading model on metapopulation networks. The subpopulation represents a platform or forum, and individuals migrate among them to transmit the information. We use a discrete-time Markov chain approach to describe the spreading dynamics’ evolution and deduce (...) the outbreak threshold point. We perform numerical simulation on artificial networks and discover that the financial risk information can be promoted once increasing the information transmission probability and active subpopulation fraction. The weight variance and migration probability cannot significantly affect the financial risk spreading size. The discrete-time Markov chain approach can reasonably predict the above phenomena. (shrink)

Women are commonly stereotyped as more risk averse than men in financial decision making. In this paper we examine whether this stereotype reflects gender differences in actual risk-taking behavior by means of a laboratory experiment with monetary incentives. Gender differences in risk taking may be due to differences in valuations of outcomes or in probability weights. The results of our experiment indicate that value functions do not differ significantly between men and women. Men and women differ (...) in their probability weighting schemes, however. In general, women tend to be less sensitive to probability changes. They also tend to underestimate large probabilities of gains more strongly than do men. This effect is particularly pronounced when the decisions are framed in investment terms. As a result, women appear to be more risk averse than men in specific circumstances. (shrink)

The financial crisis that began in the US real-estate market in 2007 and culminated in a global economic slump showed bluntly how wrong financial risk models can be. This state of affairs has triggered a number of reactions and observations at the level of the specification and use of models and at a more conceptual/fundamental level. This article focuses on the epistemic features of such models – namely the nature, source, conditions of validity, structure and limits of (...) the knowledge that ‘well-specified’ models generate – so as to assess models in a balanced way, giving due weight to the fundamental determinants of their output and warning against overestimation of their possibilities; clarify the conditions under which models can be validly applied to economic and social relationships; render intelligible why the degree of accuracy that successful models would require is intrinsically unattainable; better understand models’ failure as evidenced by the crisis; and comment on the policy steps being undertaken to prevent similar financial crisis in the future. The analysis applies the principal tenets of critical realism to the daily preoccupations of risk management professionals and financial regulators alike. It is not intended as an intervention into critical realism. It draws on the works of Tony Lawson and Roy Bhaskar, and revisits relevant aspects of John Maynard Keynes’s work, connecting dots amongst them and marrying economic and philosophical analysis with day-to-day financial risk management and regulatory issues. Content Type Journal Article Category Article Pages 462-486 DOI 10.1558/jcr.v11i4.462 Authors Mattia L. Rattaggi, UBS/Cambridge Social Ontology Group Journal Journal of Critical Realism Online ISSN 1572-5138 Print ISSN 1476-7430 Journal Volume Volume 11 Journal Issue Volume 11, Number 4 / 2012. (shrink)

Women are commonly stereotyped as more risk averse than men in financial decision making. In this paper we examine whether this stereotype reflects gender differences in actual risk-taking behavior by means of a laboratory experiment with monetary incentives. Gender differences in risk taking may be due to differences in valuations of outcomes or in probability weights. The results of our experiment indicate that value functions do not differ significantly between men and women. Men and women differ (...) in their probability weighting schemes, however. In general, women tend to be less sensitive to probability changes. They also tend to underestimate large probabilities of gains more strongly than do men. This effect is particularly pronounced when the decisions are framed in investment terms. As a result, women appear to be more risk averse than men in specific circumstances. (shrink)

The early warning of financial risk is to identify and analyze existing financial risk factors, determine the possibility and severity of occurring risks, and provide scientific basis for risk prevention and management. The fragility of financial system and the destructiveness of financial crisis make it extremely important to build a good financial risk early-warning mechanism. The main idea of the K-means clustering algorithm is to gradually optimize clustering results and constantly redistribute (...) target dataset to each clustering center to obtain optimal solution; its biggest advantage lies in its simplicity, speed, and objectivity, being widely used in many research fields such as data processing, image recognition, market analysis, and risk evaluation. On the basis of summarizing and analyzing previous research works, this paper expounded the current research status and significance of financial risk early-warning, elaborated the development background, current status and future challenges of the K-means clustering algorithm, introduced the related works of similarity measure and item clustering, proposed a financial risk indicator system based on the K-means clustering algorithm, performed indicator selection and data processing, constructed a financial risk early-warning model based on the K-means clustering algorithm, conducted the classification of financial risk types and optimization of financial risk control, and finally carried out an empirical experiments and its result analysis. The study results show that the K-means clustering method can effectively avoid the subjective negative impact caused by artificial division thresholds, continuously optimize the prediction process of financial risk and redistribute target dataset to each cluster center for obtaining optimized solution, so the algorithm can more accurately and objectively distinguish the state interval of different financial risks, determine risk occurrence possibility and its severity, and provide a scientific basis for risk prevention and management. The study results of this paper provide a reference for further researches on financial risk early-warning based on K-means clustering algorithm. (shrink)

Previous evidence from developed nations has suggested that more trusting individuals are more likely to take financial risks, such as investing in the stock market. Previous studies have found that Chinese citizens have particularly high generalized trust and are more risk-seeking in investment compared with Americans, which makes China an interesting case. The current study examines the relation between generalized trust and stock market participation in China at both a contextual and individual level. Across provinces, a lower level (...) of generalized trust was associated with stock market participation. For example, the stock market participation was four times higher in provinces with the lowest level of perceived fairness than in provinces with the highest level of perceived fairness. The contextual effects of less generalized trust suggest an association between risk- taking behaviors and societal level inequality. At the individual level, trust of strangers was associated with risk preference in highly educated and wealthy people but its effect on risk behaviors was not clear. The findings suggest that trust may affect financial risk-taking behavior at different levels through different pathways, and that cultural differences in understanding of trust also need to be considered. (shrink)

This paper argues that some of the major theories in current business ethics fail to provide an adequate account of moral responsibility for the creation of systemic financial risk. Using the trading of credit default swaps (CDS) during the 2008 financial crisis as a case study, I will formulate three challenges that these theories must address: the problem of risk imposition, the problem of unstructured collective harm and the problem of limited knowledge. These challenges will be (...) used to work out key shortcomings of stakeholder approaches and Integrative Social Contracts Theory. I will argue that pluralist connection models used in political theory can help to overcome these shortcomings. Adopting an approach based on these models shows that financial institutions incur obligations in five main areas: managing their own risk profile; remedying some of the harms caused by financial crises; supporting the development of better epistemic methods; curbing the transmission and amplification of initial losses; and instigating structural reforms. (shrink)

Entrepreneurship plays an important role in the development of national economy. The study aims to accelerate the construction of social and economic structure by improving the success rate of new entrepreneurs in the process of innovation and entrepreneurship. First, the related theories of financial risk prediction are introduced, and entrepreneurial psychological status and the psychological states on entrepreneurship are analyzed. Second, the current situation of entrepreneurial psychology of new entrepreneurs is analyzed through a questionnaire survey and model test. (...) The results show that private enterprises account for the largest proportion, with a percentage of 58.14% of 125. In total, 32 Chinese-foreign joint ventures rank second and account for 14.88% of the total, and the scale of each type of enterprises accounts for 25%, respectively. The operating years of enterprises are mainly between 10 and 20 years. Among the enterprises surveyed, the significant level of entrepreneurial psychology and entrepreneurial opportunity of entrepreneurs is p = 0.000–0.01. It indicates that males’ psychological adjustment ability and entrepreneurial ability in the entrepreneurial process are higher than females’, and their entrepreneurial psychological states and entrepreneurial ability will improve with the growth of age, education levels, and positions. It is concluded that entrepreneurial psychological capital and entrepreneurial opportunity are significantly positively correlated with financial risk expectation. The research results prove the impact of financial risks on the entrepreneurial psychology of new entrepreneurs, and provide a reference for new entrepreneurs in predicting financial risks. (shrink)

Modern society is characterised by the constant production, commodification, and distribution of risks, which has also become an increasingly important political issue. Given the commodification and the resulting distributability of risks, risks have become an issue of distributive justice instead of mere reason for precautionary concerns. This is particularly pronounced in the case of financial risks. In this article, we analyze how choices related to distributive justice inform the systems of risk distribution. Our main aim is to apply (...) the Rawlsian notion of “division of moral labor” in the context of financial risks. By an analysis of the scope of financial risks, we will show that the libertarian choice of division of moral labour rests on an unnecessarily narrow idea of the scope of the distribution of risks. (shrink)

Systemic financial risk is one of the most significant collective action problems facing societies. The Great Recession brought attention to a tragedy of the commons in capital markets, in which market participants, from the first-time homebuyer to Wall Street financiers, acted in ways beneficial to themselves individually, but which together caused substantial collective harm. Two kinds of risk are at play in complex chains of transactions in financial markets: ordinary market risk and systemic risk. (...) Two moral questions are relevant in such cases. First, from the standpoint of interactional morality, does a person have a moral duty to avoid risk of harm to others if their financial transactions contribute in some way, however small, to the loss or harm? This article identifies the conditions in which persons are morally responsible in such cases. Second, from the standpoint of institutional morality, how should society distribute the risk of harm associated with massively complex financial markets? This question is considered in the context of the home mortgage credit market. Luck egalitarianism, in particular a Dworkinian insurance scheme to allocate risks and resources relating to mortgage credit and private home ownership, offers substantial promise. (shrink)

This article focuses in the allocation of financial risks from the viewpoint of social justice. In contemporary society, finance and the related risk allocation patterns have become highly important in determining the social positions of individuals. Yet it is somewhat unclear how ‘financial risks’ should be understood in normative theory and to what extent their allocation is a specific problem of justice. This article consists of a definition of this category and a typology of three different and (...) distinctive perspectives to financial risks and social justice, out of which a synthesis is drawn. The contribution of the article is to propose a normative basis for a research programme on risks and justice in the society of high financialisation. (shrink)

IntroductionHigh healthcare costs make illness precarious for both patients and their families’ economic situation. Despite the recent focus on the interconnection between health and financial risk at the systemic level, the ethical conflict between concerns for potential health benefits and financial risk protection at the household level in a low-income setting is less understood.MethodsUsing a seven-step ethical analysis, we examine a real-life dilemma faced by families and health workers at the micro level in Ethiopia and analyse (...) the acceptability of limiting treatment for an ill newborn to protect against financial risk. We assess available evidence and ethical issues at stake and discuss the dilemma with respect to three priority setting criteria: health maximisation, priority to the worse-off and financial risk protection.ResultsGiving priority to health maximisation and extra priority to the worse-off suggests, in this particular case, that limiting treatment is not acceptable even if the total well-being gain from reduced financial risk is taken into account. Our conclusion depends on the facts of the case and the relative weight assigned to these criteria. However, there are problematic aspects with the premise of this dilemma. The most affected parties—the newborn, family members and health worker—cannot make free choices about whether to limit treatment or not, and we thereby accept deprivations of people’s substantive freedoms.ConclusionIn settings where healthcare is financed largely out-of-pocket, families and health workers face tragic trade-offs. As countries move towards universal health coverage, financial risk protection for high-priority services is necessary to promote fairness, improve health and reduce poverty. (shrink)

This paper takes up recent challenges to consequentialist forms of ethically evaluating risks and explores how a non-consequentialist form of deliberation, Kantian ethics, can address questions about risk. I examine two cases concerning ethically- questionable financial risks: investing in abstruse financial instruments and investing while relying on a bailout. After challenging consequentialist evaluations of these cases, I use Kant’s distinction between morals and prudence to evaluate when the investments are immoral and when they are merely imprudent. I (...) argue that the investment practices are imprudent when they do not take adequate precautions to secure the firm’s long- term flourishing. They are immoral in a Kantian sense when they risk the destruction of the financial system upon which the firms depend. The upshot of my analysis is that moral actions require more risk aversion than prudent actions and prudent actions require more risk aversion than expected-value-maximizing actions. (shrink)

There is no doubt that a negative perception of financial risk and a lack of credit risk management adversely impact business growth and business owners’ wellbeing. Past studies suggest that most Nigerian traders have poor risk perceptions and manage risk poorly. A business coaching program within rational-emotive behavior therapy framework was evaluated in order to determine its effects on financial risk perception and credit risk management among Nigerian traders. This study used an (...) open-label parallel randomized control design. This 8-weeks coaching program had 60 traders in the REBT-based business coaching group and 59 traders in the control group. The mixed-model repeated measures ANOVA was utilized for analysis of the study data. Results show that relative to a control group, traders’ financial risk perception [F = 637.29, p < 0.001, ω2 = 0.69] and credit risk management [F = 795.51, p < 0.001, ω2 = 0.80] significantly improved after participating in REBT-based business coaching program. This study shows that REBT-based business coaching program is integral to increasing financial risk perception and credit risk management among Nigerian traders. This study contributes to the advancement of business coaching program within the rational-emotive behavior therapy framework for market traders, and its application in similar situations. The study considered the benefits of business coaching program for market traders from a developing country, which is a rarely studied group. It is highly recommended that professionals study the relationship between REBT-based business coaching and economic decision-making within various organizational contexts. (shrink)

The author identifies the major micro-, meso-, and macro-level financial risk shifting factors that contributed to the Great Global Recession and how the absence of a compelling moral vision of responsible financial risk management perpetuated the economic crisis and undermined the recovery by blind reliance upon insufficiently accountable bailouts. The author offers a new theoretical model of Sustainable Stakeholder Capitalism by exercising moral imagination which inclusively and moderately balances four multi-level factors: types of capitalism, moral theories, (...) human nature drives, and credit risk profiles. Finally, the author recommends micro-, meso-, and macro-level practical reforms to prevent a recurrence of the current economic freefall, to re-create systemic global financial institution integrity, and to promote responsible risk management for sustainable global prosperity for current and future generations. (shrink)

This study was an attempt to examine the using intelligent systems to manage risks and reduce financial risks using artificial intelligence in large companies. The data collected from the data is collected from the stock organization and the stock Securities of Iran. Moreover, the data is collected from 17 companies for ten years and the data was collected through the variance formula and then the results were examined using the SSPS method. Variance formula is σ µ 2= xi- 2 (...) /n ( ( )) ∧ ∧ ∑. The data is completely obtained from a reliable and correct source, which is related to the Department of Statistics of Iran’s Stocks and Securities. After categorizing and classifying the collected information and data, it is processed and analyzed, and the results and findings of this study are stated. In order to examine the research questions, appropriate tests (Shefe tests) were used to analyze the data. The analysis of data revealed that the findings of this study reveal that Shatran, Arya, Shebandar, Famili are profitable among other stocks. Other stocks are loss because of high cost of raw materials and sanction of Iran. Moreover, companies could not export their products. Plus, the purchase power of the people in the country decreases because of the inflation of the country, so the companies could not buy anything. On the one hand, liquidity power of people, on the other hand, less export lead to the decrease of cash flow, liquidity power of companies and firms and could not sell their products. It can be concluded that those stocks are loss and have high risk. (shrink)

Financial risks are among the most important risks in the construction industry projects, which significantly impact project objectives, including project cost. Besides, financial risks have many interactions with each other and project parameters, which must be taken into account to analyze risks correctly. In addition, a source of financial risks in a project is the contract, which is the most important project document. Identifying terms related to financial risks in a contract and considering their effects on (...) the risk management process is an essential issue that has been neglected. Hence, an integrated model for evaluating financial risks and their related contractual clauses were presented. To this end, the effect of financial risks on the project cost was simulated using a system dynamics model. Moreover, terms related to financial risks in a contract text were identified and extracted using text mining, and their effect was included in the system dynamics model. The model was implemented in a hospital construction project in Tehran as a case study, and its results were analyzed. The innovation of the research is integrating text mining and the system dynamics model to investigate the effect of financial risks and related contractual clauses on the project cost. (shrink)

ABSTRACT:Many ethicists argue that contract theory offers the most promising strategy for regulating risks. I challenge the adequacy of the contractualist approach for evaluating the complicated, novel risks associated with some structured financial products, particularly focusing on risks to third parties. Structured financial products like collateralized debt obligations (CDOs) divide a pool of financial assets into risk “tranches” organized from least to most risky. Investors purchase various tranches based on their individual risk-and-return preferences. Whereas contract (...) theory holds that investment risks are ethically permitted (roughly) when everyone—including both parties directly involved in the investments and third parties—consents to them, structured financial products like CDOs show that even risks to which everyone consents are ethically problematic when they involve systemic risks of ruin. (shrink)

Based on the existing financial system risk models, a set of time-lag financial system risk models is established considering the influence brought by time-lag factors on the financial risk system, and the dynamical behavior of this system is analyzed by using chaos theory. Through Matlab simulation, the bifurcation diagram and phase diagram of time-lag risk intensity and control intensity are plotted. The analysis shows that this kind of time-lag financial system risk (...) model has complex dynamic behavior, different motion states will appear when different parameter values are selected, and the time-lag risk intensity parameter also has a very strong influence on the system motion. To ensure the operation of the financial system in a stable state, measures with certain delay effects must be taken to control the risk and to choose the appropriate time-lag control intensity, and too much or too little time-lag control intensity is not conducive to the benign operation of the system. (shrink)

Substantial evidence from experimental studies has shown that mating motivation increases men’s financial risk-taking behaviors. The present study proposed a new moderator, men’s past relationship experience, for this well-accepted link between mating motivation and financial risk-taking tendency. Heterosexual young men were randomly assigned to the mating condition and control condition, and they completed a set of financial risk-taking tasks and reported their past relationship experience. A significant main effect of mating motivation and a significant (...) interaction effect between experimental conditions and relationship experience emerged, suggesting that mating motivation increased financial risk-taking tendency only among men who have never been committed in a romantic relationship, rather than those who have had such experience. This moderating effect was replicated in two experiments. The present study contributed to the understanding of individual differences in the relationship between mating motivation and male financial risk-taking. The present findings also have important implications for financial industry and gambling companies to better target clients and advertise their high-risk products. (shrink)

The interaction between environment and individual personality determines career. Over the past decades, the role of personality traits in explaining entrepreneurship cannot get much attention of researchers. To fill this gap, this study aims to investigate the effect of personality traits on the entrepreneurial intentions along with the mediating role of financial risk taking. Sample size consists of 500 students of business and management of different universities of Pakistan, out of which 466 useable questionnaires were collected and analyzed. (...) The results of the study are consistent with conventional wisdom as explored by past studies. In line with past studies and proposed hypothesis, we found that both extraversion and openness to experience have a positive association with FRT, whereas neuroticism, conscientiousness, and agreeableness have negative association with FRT. The results also revealed that there is positive association between FRT and EI; however, FRT did not mediate the relationship between agreeableness and EI. (shrink)

This paper mainly analyzes the theories related to the financial risk of the company and combines the principles of principal component analysis, particle swarm optimization algorithm, and artificial neural network to derive the financial risk index system of the company. To improve the accuracy of financial risk prediction, principal component analysis and particle swarm algorithm are applied to optimize the BP neural network model, the input data of the prediction model is improved, and the (...) optimal initial weights and thresholds are given to the BP neural network by using particle swarm algorithm search, whereby the financial risk prediction model of particle swarm optimization BP neural network is constructed. The empirical results show that the model constructed by BP neural network not only has a high accuracy rate for static financial risk evaluation but also has a better prediction effect. After training and testing, the BP neural network-based enterprise financial risk evaluation model can accurately determine the existing financial situation of enterprise financial management and has a good prediction effect. Our research method is a fusion of the processing of the two methods, which belongs to the first integration of results. (shrink)

This paper examines fraudulent financial reporting within the context of Jones' (1991) ethical decision making model. It was hypothesized that quantitative materiality would influence judgments of the ethical acceptability of fraud, and that both materiality and financial risk would affect the likelihood of committing fraud. The results, based on a study of CPAs employed as senior executives, provide partial support for the hypotheses. Contrary to expectations, quantitative materiality did not influence ethical judgments. ANCOVA results based on participants' (...) estimates of the likelihood that a "typical CPA" would manipulate reported results indicated that both materiality and risk significantly influenced the likelihood of fraud, but that the perceived morality of the action did not. In contrast, results based on participants' self-reported behavior indicated that materiality and the perceived morality of the action would influence the likelihood of fraud, but that financial risk would not. Regardless of the measure used for the likelihood of fraud, the results indicate that financial executives continue to be influenced by quantitative materiality when misstatements are clearly material on qualitative grounds. (shrink)

The construction of a financial risk prediction model has become the need of the hour due to long-term and short-term violations in the financial market. To reduce the default risk of peer-to-peer companies and promote the healthy and sustainable development of the P2P industry, this article uses a model based on the LightGBM algorithm to analyze a large number of sample data from Renrendai, which is a representative platform of the P2P industry. This article explores the (...) base LightGBM model along with the integration of linear blending to build an optimal default risk identification model. The proposed approach is applicable for a large number of multi-dimensional data samples. The results show that the prediction accuracy rate of the LightGBM algorithm model on the test set reaches 80.25%, which can accurately identify more than 80% of users, and the model has the best prediction performance in terms of different performance evaluation indicators. The integration of LightGBM and the linear blending approach yield a precision value of 91.36%, a recall of 75.90%, and an accuracy of 84.36%. The established LightGBM algorithm can efficiently identify the default of the loan business on the P2P platform compared to the traditional machine learning models, such as logistic regression and support vector machine. For a large number of multi-dimensional data samples, the LightGBM algorithm can effectively judge the default risk of users on P2P platforms. (shrink)

Holistic thinking involves four subconstructs: causality, contradiction, attention to the whole, and change. This holistic perspective varies across Eastern–Western cultures and genders. We theorize that holistic thinking reduces three domain-specific risk-taking behavioral intentions (ethical, financial, and health/safety) directly and indirectly through enhanced risk-taking attitudes. Our formative theoretical model treats the four subconstructs of holistic thinking as yoked antecedents and frames it in a proximal context of causes and consequences. We simultaneously explore the direct and indirect paths and (...) test our model across cultures, genders, and the combination of the two. For the entire sample (N = 531), holistic thinking negatively relates to risk intentions via enhanced risk perceptions. Across cultures, the indirect paths prevail among Chinese people (n = 284), and both direct and indirect paths triumph for Americans (n = 247). Across genders, the indirect paths exist for females, whereas the negative direct path (risk-raking attitudes → behavioral intentions) succeeds for males. Across cultures and genders, holistic thinking negatively relates to American males’ ethical risks the most but Chinese males’ financial risks the least. Risk-taking perceptions are negatively related to Chinese males’ ethical risks the most, but Chinese people’s (males/females) financial risks the least. Causality and change are vital for all contexts, attention to the whole for all males and Chinese males, and contradiction for Americans and all females. Holistic thinking has limits and is less robust than risk-taking perceptions in reducing risky behavioral intentions. Our practical implications help people make ethical, healthy, and wealthy decisions. (shrink)

There is no well-built theory on credit risk measurement and decision analysis for financial big data, and an effective and scientific evaluation system for them has not been formed. A review of them can contribute to grasping the abovementioned topics, understanding current issues, analyzing research problems, mastering research challenges, and predicting future research directions. Besides, this paper points out four research directions of credit risk measurement and decision analysis for financial big data. Moreover, this paper can (...) provide some guidance directions and insights for practitioners, researchers, financial institutions, and government departments who have an interest in complex decision-making in big data. (shrink)

With the development of economic globalization and the policy guidance of International Financial Reporting Standards, the overseas investment of Chinese enterprises has been greatly affected. To study the overseas investment risks of Chinese enterprises, this paper applies a risk analysis model to summarize and analyze the results of overseas investment of Haier from 2008 to 2020. This paper defines the risk analysis model as risk identification, risk assessment, and risk response, and studies overseas investment (...) risks including political, economic, cultural, legal, cost, epidemic, and business risks. The existence of various risks is identified in the company’s overseas investment projects;. The overseas investment risks of Haier are evaluated, through a comprehensive evaluation method combining qualitative and quantitative, financial data, and market response;. In view of the deficiencies of the existing risk prevention measures in the overseas investment of enterprises, some reasonable suggestions are purposed. The innovation of this paper are: This paper combines IFRS 9, IFRS 15, and IFRS 16, selects theories, and combines cases to evaluate the risks of overseas investment that are difficult to quantify, and analyzes the risks of overseas investment by Z-value models and market effects. This research method has pertinence and applicability to enterprises investing overseas. (shrink)

This paper examines the impact of the recent financial crisis on the relation between a firm’s risk and social performance using a sample of non-financial U.S. firms covering the period 1991–2012. We find that the relation between SP and risk is significantly different in the crisis period compared to the pre-crisis period. SP reduces volatility during the financial crisis. The risk reduction potential of SP is mainly due to the strengths component of SP. Since (...) the relation of risk is stronger with SP strengths than SP concerns, this implies an asymmetric relation between these SP components and a firm’s risk. Specifically, strengths act as a risk reduction tool during an adverse economic environment. (shrink)

After examining these decisions in their one-period setting, they devote most of the book to a multiperiod context, which adds the long-term perspective most risk management analyses require.

Given the importance of data safety for psychology, the present study investigated the influence of data leaking scandal on campus customers’ financial consumption behaviors at intelligent tourism platforms in China, and explored the roles that individual characteristics play in this process by focusing on a set of participants from colleges. Data were collected through sending out an online questionnaire, where respondents were asked to finish a series of questions about their background information, their trust, future consuming intention, and defensive (...) behaviors toward intelligent platforms. After they finished these questions, a short description about an online tourism platform leaking customers’ personal information was presented to the respondents, following which they were asked to report about their future consuming intentions and defensive behaviors again. In total, 236 participants of college students and teachers were recruited. Paired samples mean comparison showed that after the stimulus was presented, the respondents had a significant decrease in future financial consumption intention, and a significant increase in defensive behaviors toward online tourism platforms due to risks perceived. Multiple regression analysis was conducted subsequently to investigate individual characteristics that may account for part of the decrease in consuming intention. Results showed that, customers with higher level of trust and monthly income, as well as older customers, tend to experience higher level of decrease in consuming intention, and increase in defensive behaviors. These findings highlighted the importance of online tourism platforms guaranteeing data security of their customers. (shrink)

Existing research on the financial implications of corporate social responsibility (CSR) for firms has predominantly focused on positive aspects of CSR, overlooking that firms also undertake actions and initiatives that qualify as negative CSR. Moreover, studies in this area have not investigated how both positive and negative CSR affect the financial risk of firms. As such, in this research, the authors provide a framework linking both positive and negative CSR to idiosyncratic risk of firms. While investigating (...) these relationships, the authors also analyze the moderating role of financial leverage of firms. Overall, analysis of secondary information for firms from multiple industries over the years 2000–2009 shows that CSR has a significant effect on the idiosyncratic risk of firms, with positive CSR reducing risk and negative CSR increasing it. Results also show that the reduction in risk from positive CSR is not guaranteed, with firms having high levels of financial leverage witnessing lower idiosyncratic risk reduction. (shrink)

This article investigates the role of commonly specified control variables in moderating the relationship between corporate social performance (CSP) and corporate financial performance (CFP). In addition, there are separate measures for positive (strengths) social actions, and for negative (concerns) social actions. The results support the positive relationship between CSP and CFP. The best model, as determined using factorial analysis of variance, is one which has the following control variables: size, industry, risk, and research and development expenditures. In examining (...) the CSP/CFP relationship, researchers must control for these variables, in order to properly specify the model. (shrink)

Financing guarantee is an important means and key link to solve the financing difficulties of small- and medium-size enterprises. However, while financial guarantees alleviate the financing difficulties of SMEs, the complex guarantee relationships also constitute a new channel for credit risk contagion in the financial guarantee network. In this paper, we construct a model of credit risk contagion process of guarantee network based on SEIR and analyse the equilibrium point and stability of the model. Then, we (...) find the threshold value of risk contagion and further simulate the SEIR model dynamically to analyse the influence of each parameter of the model. The results show that the risk of the financing guarantee network begins to be widely contagious only when risk contagion threshold is greater than 1, and the conversion rate of exposed enterprises, removal rate of infected enterprises, nodal enterprises degree, and risk contagion rate have significant effects on the changes of individual density of susceptible, exposed, infected, and recovered enterprises. Combining the above findings, it is of great theoretical and practical significance to propose relevant countermeasures for credit risk control of financial guarantee network. (shrink)

This article investigates the nexus between bank-specific risks and the financial stability of the banks for a panel data set of 15 scheduled banks in Pakistan over a 12-year period from 2009 to 2020. Using the fixed-effect model, the study result shows that bank-specific risks, i.e., credit risk and liquidity risk are detrimental to bank stability, whereas funding risk has no significant impact on bank stability. Besides these, bank size has also a negative impact on bank (...) stability, whereas the return on assets revealed a positive influence. To ensure stability, bank management should establish policies that confirm secure loan granting and timely reimbursement from customers to minimize the credit risk. Besides this, management should keenly observe the liquidity position and should also effectively mobilize the customer deposits to attain financial stability. (shrink)

This paper aims to study the impact of Crowdfunding financial attributes on entrepreneurship risk taking. This study was applied on Arabic Crowdfunding platforms from all crowdfunding models. The population of the study consists of individuals, entrepreneurs, investors, employees at electronic-crowd funding Arabic platforms. According to last statics at (2018), there are (12) legit Arabic platforms working in this field. Several statistical tools were used for data analysis and hypotheses testing, including reliability Correlation using Cronbach’s alpha, “ANOVA”, Simple Linear (...) Regression. The overall findings of the current paper show that there is a significant statistical impact for financial properties on entrepreneurship and this effect around (25%). Furthermore, the current paper is unique by topic and population as it is the first study on Arabic crowdfunding platforms. (shrink)

The enduring failure of financial institutions to identify and deal with risk events continues to have serious repercussions, whether in the form of small but significant losses or major and potentially far-reaching scandals. Using a mixed-methods approach that combines an innovative version of the classic dictator game to inform prosocial tendencies with the survey-based Theory of Planned Behaviour, we examine the risk-escalation behaviour of individuals within a large financial institution. We discover evidence of purely selfish behaviour (...) that explains the lack significance in pressure to adhere to the Subjective Norms of colleagues around intention to report risks. A finding that has potentially important implications for efforts to instil a high-error management climate and incentivise risk reporting within organisations where risk, if ignored or unchecked, could ultimately have consequences that extend far beyond the institutions themselves. (shrink)

In the US, research payments are technically taxable income. This article argues that tax liability is a form of possible economic and legal risk of paid research participation. Findings are presented from empirical research on Phase I healthy volunteer trials. The article concludes by discussing the implications of these findings for the informed consent process, as well as for broader ethical issues in whether and how payments for research participation should be regulated.

Willingness to take risk is one of the most important aspects of personal financial decisions, especially those regarding investments. Recent studies show that one’s perception of time, specifically the individual level of Present Hedonistic and Future Time Perspectives (TPs), influence risky financial choices. This was demonstrated for both, Time Perspective treated as an individual trait and for experimentally induced Time Perspectives. However, on occasion, people might find themselves under the joint influence of both, chronic and situational Time (...) Perspectives and little is known about interactions between them. The paper focuses on the interplay between chronic and induced levels of Future and Present Hedonistic TPs in explaining people’s propensity to take investment risks. An experimental study using a Polish national random-quota sample was conducted. The results showed that situationally induced Future TP lowered the preferred level of portfolio riskiness while situationally induced Present Hedonistic TPs resulted in exactly the opposite effect, and that the higher level of chronic Present Hedonistic TP was linked to higher investment risk preferences. The role of the chronic Present Hedonistic TP was moderated by the situationally induced Future (approaching significance) and Present Hedonistic TPs. The induction of these TPs resulted in reduction of the propensity to take investment risks. The study adds to the literature on psychological factors influencing the propensity to take financial risk. The results are also important for researchers who experimentally manipulate variables that might be also considered as chronic traits. They indicate that whether the manipulation is congruent with one’s natural tendencies may have a differential impact on subsequent measures. (shrink)

An increasing number of financial services (FS) companies are adopting solutions driven by artificial intelligence (AI) to gain operational efficiencies, derive strategic insights, and improve customer engagement. However, the rate of adoption has been low, in part due to the apprehension around its complexity and self-learning capability, which makes auditability a challenge in a highly regulated industry. There is limited literature on how FS companies can implement the governance and controls specific to AI-driven solutions. AI auditing cannot be performed (...) in a vacuum; the risks are not confined to the algorithm itself, but rather permeates the entire organization. Using the risk of unfairness as an example, this paper will introduce the overarching governance strategy and control framework to address the practical challenges in mitigating risks AI introduces. With regulatory implications and industry use cases, this framework will enable leaders to innovate with confidence. (shrink)

It is of practical significance to introduce the Internet of Things technology into the financial service industry and find the driving factors and mechanisms of financial innovation to accelerate the promotion of financial innovation. This article starts from the perspective of banks and other supply chain financial institutions, takes mainstream trading products in the commodity trading market as the research object, uses the LA-VAR model, and fully considers the market price fluctuations and liquidity factors of supply (...) chain financial inventory products. It analyzes the theoretical basis of the continuous innovation of rural financial products. On the basis of analyzing the basic characteristics and types of rural financial product innovation, we explore the connotation of sustainable innovation of rural financial products, clarify the evaluation criteria, and lay a theoretical foundation for continuous dynamic evaluation. Based on technical innovation evaluation theoretical models such as Schumpeter’s innovation model, technical specifications-technological track model, and NR relationship model market, we analyze the innovation elements of rural financial products from the external and internal aspects of innovation and discuss the relationship between the factors. The interaction mechanism of rural financial products has established a dynamic mechanism model for the continuous innovation of rural financial products. A fuzzy comprehensive evaluation was made on the continuous innovation power of financial service industry products in a certain area. Using a combination of remote surveys and on-site visits, a questionnaire survey was conducted on financial service industry institutions in a certain region’s financial system. Each survey object was required to conduct 120 × 1067 index comparisons and use the data after processing the arithmetic average Matlab carries out the objective processing of programming. The results show that the LA-VAR model with liquidity indicators can measure the liquidity risk well and more comprehensively evaluate the risk of the inventory pledge financing model. According to the index weights determined by AHP, the development of the financial service industry will be promoted in a targeted manner from the internal construction of financial institutions and the optimization of the external innovation environment. (shrink)

By promoting greater alignment between law and capital, litigation financing has the potential to further escalate the substantial restructuring that is occurring throughout the legal profession. This article examines regulation of the relationship between litigation funders and lawyers in three common law jurisdictions: the United Kingdom; the United States; and Australia, against the backdrop of a sea change in the way in which legal services are being delivered. It argues that a broad prescriptive approach rather than proscriptive prohibitions are the (...) best way to regulate the emerging relationship between law and capital. (shrink)

This paper examines whether bank capital ratios and default risk are associated with the gender of the bank’s Chief Executive Officer and Chairperson of the board. Given the documented gender-based differences in conservatism and risk tolerance, we postulate that female CEOs and board Chairs should assess risks more conservatively, and thereby hold higher levels of equity capital and reduce the likelihood of bank failure during periods of market stress. Using a large panel of U.S. commercial banks, we document (...) that banks with female CEOs hold more conservative levels of capital after controlling for the bank’s asset risk and other attributes. Furthermore, while neither CEO nor Chair gender is related to bank failure in general, we find strong evidence that smaller banks with female CEOs and board Chairs were less likely to fail during the financial crisis. Overall, our findings are consistent with the view that gender-based behavioral differences may affect corporate decisions. (shrink)