Research on the financial risk management system of listed corporations in China

In recent years, the number of the listing corporations in China is increasing, and the promotion of the national economic development is also more obvious. But in the process, because of the short time onto the market and the lack of the expvrience, some of the listed companies also cannot be compared with the enterprises in the western developed countries in a large extent. Especially in the aspect of the financial management, there are many defects. For example, the control efforts of the financial risks arc inadequate, and the awareness of the management personnel and the employees on the risks is weak, and so on In this case, the listed corporations must strengthen the management of the company＇s financial risks, develop the more comprehensive financial risk managernent system, and thus ensurc that the companies can have the healthy, stable and sustainable development.

Reformative Financial Risk Management Approach： A Multistage Decision Support System with the Assistance of Fuzzy Goal Programming and Expertons Method

The potential demand on financial risk management has being increased considerably by the reason of Basel 11 regulations and instabilities in economy. In recent years, financial institutions and companies have been struggled for building up intensive financial risk management tools due to Basel II guidance on establishing financial self-assessment systems. In this respect, decision support system has a significant role on effectuating intensive financial risk management roadmap. In this study, a reformative financial risk management system is presented with the combination of determining financial risks with their importance, calculating risk scores and making suggestions based on detected risk scores by applying corrective actions. First, financial risk factors and indicators of these risk variables are selected and weights of these variables are specified by using fuzzy goal programming. After that, total risk scores are calculated and amendatory financial activities are appeared by means of expertons method which also provides possibilities of the alternative decisions. To illustrate the performance of integrated and multistage decision support system, a survey is applied on the end users.

Systemic risk management and investment analysis with financial network analytics:research opportunities and challenges

Recent economic crises like the 2008 financial tsunami has demonstrated a critical need for better understanding of the topologies and various economic,social,and technical mechanisms of the increasingly interconnected global financial system.Such a system largely relies on the interconnectedness of various financial entities such as banks,firms,and investors through complex financial relationships such as interbank payment networks,investment relations,or supply chains.A network-based perspective or approach is needed to study various financial networks in order to improve or extend financial theories,as well as develop business applications.Moreover,with the advance of big data related technologies,and the availability of huge amounts of financial and economic network data,advanced computing technologies and data analytics that can comprehend such big data are also needed.We referred this approach as financial network analytics.We suggest that it will enable stakeholders better understand the network dynamics within the interconnected global financial system and help designing financial policies such as managing and monitoring banking systemic risk,as well as developing intelligent business applications like banking advisory systems.In this paper,we review the existing research about financial network analytics and then discuss its main research challenges from the economic,social,and technological perspectives.

The Effect of the 2007/2008 Financial Crisis on Enterprise Risk Management Disclosure of Top US Banks

We document the effect of the 2007/2008 financial crisis on the volume and the quality of enterprise risk management （ERM） disclosure in the annual reports of the largest US banks, and analyze its determinants. Using a content analysis approach of the annual reports form 10-K for the years 2006, 2007, 2008, and 2009, we find that the ERM disclosure is significantly and positively associated with the crisis, bank size, board independence, duality and significantly and negatively associated with profitability, leverage, and board size. This paper seeks to fill a gap in the literature by investigating the effect of the crisis on ERM disclosure in the US banking sector context, and gives an insight into the factors affecting risk disclosure practices during the financial crisis.

Combating emerging financial risks in the big data era:A perspective review

financial services:for example,GPS and Bluetooth inspire location-based services,and search and web technologies motivate online shopping,reviews,and payments.These business services have become more connected than ever,and as a result,financial frauds have become a significant challenge.Therefore,combating financial risks in the big data era requires breaking the borders of traditional data,algorithms,and systems.An increasing number of studies have addressed these challenges and proposed new methods for risk detection,assessment,and forecasting.As a key contribution,we categorize these works in a rational framework:first,we identify the data that can be used to identify risks.We then discuss how big data can be combined with the emerging tools to effectively learn or analyze financial risk.Finally,we highlight the effectiveness of these methods in real-world applications.Furthermore,we stress on the importance of utilizing multi-channel information,graphs,and networks of long-range dependence for the effective identification of financial risks.We conclude our survey with a discussion on the new challenges faced by the financial sector,namely,deep fake technology,adversaries,causal and interpretable inference,privacy protection,and microsimulations.

The New Financial Management Measure In Forestry Industry

The Private Finance Initiative has provided the framework for the completion of a large number of capital projects managed by the public sector bodies. It secures value for money in the use of public resource and achieves a genuine transfer of risk to the private sector. PFI project shows a lot of benefits for the UK, Chinese Government also would like o use it to improve the public infrastructure.

Using Python to Analyze Financial Big Data

As technology and the internet develop,more data are generated every day.These data are in large sizes,high dimensions,and complex structures.The combination of these three features is the“Big Data”[1].Big data is revolutionizing all industries,bringing colossal impacts to them[2].Many researchers have pointed out the huge impact that big data can have on our daily lives[3].We can utilize the information we obtain and help us make decisions.Also,the conclusions we drew from the big data we analyzed can be used as a prediction for the future,helping us to make more accurate and benign decisions earlier than others.If we apply these technics in finance,for example,in stock,we can get detailed information for stocks.Moreover,we can use the analyzed data to predict certain stocks.This can help people decide whether to buy a stock or not by providing predicted data for people at a certain convincing level,helping to protect them from potential losses.

Risk signal, financial derivatives transactions and the Indonesian GAAP

Motivated by the accounting events of firm＇s default related to derivatives and other financial instruments transactions, this study is aimed to investigate the capability of accounting information to signal the risks associated with the use of financial derivatives for hedging. Hypothesis are developed based on the theory and empirical evidences of manager＇s motive to use derivatives for hedging （Berkman ＆ Bradbury, 1968; Dune, et al., 2003） as well as signaling theory of accounting information （Ball ＆ Brown, 1968; Beaver ＆ Dukes, 1972; Jensen ＆ Meckling, 1976; Megginson, 1997）. The hypotheses are formulated in the Ordinary Least Square model. The study uses Statistical Product and Service Solutions （SPSS） version 14 as software to conduct the statistical tests. Non-bank and non-financial institutions firms with financial derivatives transactions listed in Indonesian Stock Exchange during 2001 to 2006 are chosen as the sample. Determinations of the time frame has considered the timing of introduction of revisions of accounting standard on derivatives and other financial instruments in Indonesia PSAK 50 Financial Instruments： Presentations and Disclosures which was published in July, 1998, as well as PSAK 55 Financial Instruments： Recognition and Measurements which was published in 1998. Based on the sample selections procedure and the completeness of the data required by the model, 24 firms listed during 2001-2006 or equal to 66 firm-years observations were identified as the data to be tested. Empirical evidences suggests that Indonesian GAAP is capable of providing signal associated with： （1） Fair value exposures related to manager＇s motive to reduce the cost of financial distress; （2） Cash flow exposures related to manager＇s motive to practice tax arbitrage as well as to overcome underinvestment problems; （3） Interest rate risks related to manager＇s motive to avoid the risk default due to limitations of debt covenants; （4） Forex risk related to manager＇s motive to control forex exposures caused by foreign operations as well as foreign sales.

Financial Knowledge,Capability to Guard Against Risks,and Rural Households’Selection of Financial Assets:An Empirical Study Based on Rural Households in China

Based on rural household data collected in two rounds of the China Household Finance Survey(CHFS)in 2015 and 2017,respectively,this paper presents the likely impact of financial literacy and capability against risks on the breadth and depth of participation by rural households in risky financial markets.After instrumental variables are used to solve endogenous problems,we find that a good command of financial knowledge and a higher risk management level could significantly increase the probability and proportion of rural households investing in risky financial assets.A mechanism analysis further reveals that financial knowledge motivates rural households to engage in financial investments by helping them evaluate their capability to guard against risks.After multiple dimensions of indicators are employed to measure financial knowledge,the estimated results remain stable.In view of this,we have put forward some policy suggestions to increase the property income of rural households and promote the rural financial market.

Impact of risk management strategies on the credit risk faced by commercial banks of Balochistan

This study aims to identify risk management strategies undertaken by the commercial banks of Balochistan,Pakistan,to mitigate or eliminate credit risk.The findings of the study are significant as commercial banks will understand the effectiveness of various risk management strategies and may apply them for minimizing credit risk.This explanatory study analyses the opinions of the employees of selected commercial banks about which strategies are useful for mitigating credit risk.Quantitative data was collected from 250 employees of commercial banks to perform multiple regression analyses,which were used for the analysis.The results identified four areas of impact on credit risk management(CRM):corporate governance exerts the greatest impact,followed by diversification,which plays a significant role,hedging and,finally,the bank’s Capital Adequacy Ratio.This study highlights these four risk management strategies,which are critical for commercial banks to resolve their credit risk.

The embedded financial governance system based on COSO framework A new method of integration

The global financial crisis is spreading at an alarming rate across the world. The speed of the spreading and its tremendous impacts to economic is unprecedented in half a century. Through researching its impacts to finance, the authors can clearly find that to a large extent most enterprises went bankrupt and closed down because of the weak financial governance system and lack of effective control to internal financial operation Based on this background, the authors analyzed the problems of the traditional financial governance, and tried to find solutions. Applying the concept of COSO （The Committee of Sponsoring Organizations of The National Commission of Fraudulent Financial Reporting） framework into the financial governance system, the authors can reconstruct the embedded financial governance system based on COSO framework, and better control the company＇s financial activities. In this way, the enterprise can effectively improve its management level and operational efficiency, and promote its sound and sustainable development.

Socio-Environmental Responsibility Policy in Financial Institutions

This research intents to analyze the influence of Socio-Environmental Responsibility Policy of Brazilian’s Central Bank on financial institutions economic performance listed at the Brazilian stock exchange.The data was collected from diversified sources(websites,explanatory notes,reference form and Economatica®data base)from 2012 up to 2017.As sample,22 financial institutions were considered for data collection and analysis.The results showed that the growth in shareholder’s equity and contingent liabilities have significant differences from the adoption of the Socio-Environmental Responsibility Policy.Considering six items of corporate governance and six items of risk management,no investigated institution presented all these mechanisms requested by Brazilian’s Central Bank.Brazilian’s financial institutions recognized a greater volume of liabilities and expenses after the implementation of such policy,which reduced their net equity.This research shed some lights in socio-environmental policies regarding corporate governance and risk management mechanisms.Objective:to analyze whether the adoption of a socio-environmental responsibility policy influences the performance indicators and the corporate governance and risk management framework of financial institutions listed on the Brazilian stock exchange.Method:Data were collected from the period 2012 to 2017,referring to 22 Brazilian financial institutions,which provided information to operationalize the variables.Results:the results showed that,from the performance indicators investigated,the growth in shareholders'equity and contingent liabilities presented significant differences as of the adoption of the socio-environmental responsibility policy.Twelve items were analyzed,six of which were corporate governance and six of risk management,noting that no investigated institution presented all the mechanisms provided by the Central Bank of Brazil.Contributions:the evidence suggests that Brazilian financial institutions began to recognize a greater volume of liabilities and expenses after the obligation to implement the socio-environmental responsibility policy,reducing their net equity.These results may be due to the improvement of the corporate governance structure and the adequacy of the risk management process.

The Impact of Credit Ratings on Financial Performance (ROA) and Value Creation (Tobin’s Q)

This study employs a bibliometric and systematic approach to examine the impact of credit ratings as a measure of financial performance for companies listed in the S&P 500 index.The study identified a knowledge gap as only two researches were found,one suggesting and another using credit ratings to measure financial performance.Most researches use leverage,profitability,liquidity,and Share Return measures to explain financial performance.The empirical analysis uses the data of 2,398 observations of 240 companies rated by S&P Global Ratings for the period 2009-2013,applying a Generalized Method of Moments(GMM)methodology to estimate the models due to its ability to address potential endogeneity issues.The study considers Return on Assets(ROA)and Tobin’s Q as dependent variables.It incorporates credit ratings(CRWLTA)along with variables such as Total Debt to Total Assets(TDTA),Total Shareholder Return(TSR),EBITDA Interest coverage(EBITDAICOV),Quick Ratio(QR),Altman’s Z-Score(AZS),as well as macroeconomic factors like Gross Domestic Product(GDP)growth,inflation(Consumer Price Index-CPI),and the Federal Reserve Interest Rate(FDRI)as independent variables.The study argues that credit ratings,which incorporate historical data and confidential information about companies’strategies,provide reliable forward-looking creditworthiness assessments to the market.It is supported by specialized rating agencies that employ their methodologies.However,the findings suggested that CRWLTA,had a negative relationship with Q Tobin,although it was not statistically significant,and a negative relationship with ROA that was on the verge of significance.

Designing of Commercial Bank Loans Risk Early Warning System Based on BP Neural Networks

According to the index early warning method, a commercial bank loans risk early warning system based on BP neural networks is proposed. The warning signal is mainly involved with the financial situation signal of loaning corporation. Except the structure description of the system structure the demonstration of attemptive designing is also elaborated.

大数据背景下造纸企业经营风险识别与管理优化研究

近年来,大数据技术的快速发展颠覆了造纸企业传统的风险控制模式,大数据技术在企业经营管理中实现降本增效的趋势越发明显。基于此,简述了造纸企业经营风险的种类与控制现状,探究了大数据时代给造纸企业经营风险控制带来的积极效应与消极影响,结合某些造纸企业经营实例进行经营风险的识别与分析,并基于大数据背景提出造纸企业经营风险识别与管理优化策略,以期建立科学、有效的经营风险预防与管控体系,提升造纸企业经营管理水平。

企业财务管理中的风险管理策略研究

随着全球化和市场竞争的不断加剧,企业面临的风险日益复杂和多样化。财务管理是企业管理的核心要素之一,它涵盖了资金、投资、融资和利润等方面,对企业的经营和发展至关重要。在这个过程中,风险成为了影响企业财务状况和业绩的重要因素。风险管理作为财务管理的一部分,旨在帮助企业识别、评估和控制可能影响企业财务状况和业绩的各种风险。这些风险可以来自市场波动、经济衰退、竞争压力、政策调整、技术变革等方面。如果企业不能有效管理这些风险,可能导致其出现财务损失、业绩下滑甚至经营困境等问题。为此,文章旨在探讨企业财务管理中的风险管理策略,以提升企业对风险的认识和应对能力,帮助它们更好地应对市场变化和风险挑战,实现可持续发展和竞争优势。

薪酬管制能促进企业“脱虚还实”吗?--基于“限薪令”的准自然实验

将2015年实施的“限薪令”政策视为衡量薪酬管制的准自然实验,基于2012—2022年A股非金融上市公司数据,采用双重差分模型检验“限薪令”对企业金融化的影响,探究薪酬管制对企业“脱虚还实”效果。研究结果表明:薪酬管制政策显著抑制了国有企业金融资产的配置行为,主要通过抑制国有企业金融化的“蓄水池”动机和降低管理层风险偏好两种机制降低企业金融资产配置比例,促进企业“脱虚还实”;薪酬管制政策对金融资产类型和金融渠道获利存在结构性差异,表现为对投机型和保值型金融资产以及风险型金融渠道获利抑制效果更为明显;薪酬管制政策通过积极影响企业核心业务与实体投资,促进企业资源优化配置。

地方金融突发事件应急管理体制机制的整合再造

随着金融突发事件的潜伏性与危害性愈发加剧,区域金融稳定的重要性日益凸显。地方金融突发事件的单次危害相对较小,但是多频次高发事件的叠加效应极易引发区域性,甚至是系统性金融风险。因此,地方金融突发事件应急管理对于金融稳定的维护至关重要。当前金融突发事件应急管理体制机制存在诸多层面上的问题,这根源于体制上权责错位塑造的无限属地责任与有限监管权力之间的冲突,以及机制上地方政府因主动经济选择和被动能力锁定而产生的路径依赖。为整合再造地方金融突发事件应急管理体制机制,应当以应急管理与金融风险处置二分为总体框架,以地方金融突发事件的多源风险为目标定位,确定应急权力综合化的任务型模式选择。在金融突发事件应急管理体制机制的具体构造上,需要塑造与金融风险处置相协同的应急管理机制,并以属地管理原则为核心提供体制保障。

利润上缴政策改革与企业金融资产投资

近年来中国经济呈现出一定的“脱实向虚”趋势,对企业的风险管控与持续发展提出了严峻挑战。以2003—2019年中国A股中央企业控股公司和非国有公司为样本,本文考察了国有资本管理改革对企业金融资产投资的影响。研究发现:(1)中央企业利润上缴政策实施显著抑制了企业的金融资产投资行为,且主要表现为对投机性金融资产的抑制;(2)随着上缴比例的不断调高,政策效果愈发明显;(3)当企业资源丰富、行业盈利能力较弱以及高管业绩偏好较高时,政策效果受到一定削弱;(4)政策实施降低了金融资产中的“投机”成分,进而缓解了企业经营风险。本文从宏观政策角度丰富了企业金融化影响因素的研究,也丰富了国有资本管理改革政策经济后果的研究。本文的结论对于完善国有资本管理制度、深化国有企业改革具有较为重要的政策意义。