Research on Cooperation Mechanism of China's Financial Regulation and Supervision System

Financial regulation and supervision is an important subject in finance research. After the U. S. subprime mortgage crisis,the weakness in this field becomes the research focus. Every country attaches importance to strengthen the financial supervision and management. But the financial regulatory system is a large system,and the process of model building and index selection is very complicated. A model for China's financial regulation and supervision system was proposed and a system evaluation method was improved. A more exact result was drawn by choosing 2003- 2009 index data.

Influencing Factors and Path Choice of Rebuilding Rural Financial Supervision System

The necessity of rebuilding Chinese rural financial supervision system is expounded. Rebuilding rural financial supervision system is conducive to normalizing rural financial order and forming the benign competitive situation; to clarifying the role played by rural financial organization and providing better financial services for "three agriculture";to forming safe rural financial environment to promote the development of rural economy and national economy. The restricting factors of rebuilding Chinese rural financial supervision system are analyzed. The major reasons are that rural financial legislation is relatively backward and the supervision department lacks the necessary legal basis. The administrative supervision is insufficient, which lead to the mal-position, administrative offside and vacancy of rural financial supervision;rural financial organization mechanism is unreasonable and the internal supervision mechanism is relatively bad;supervision organization of rural financial industry is imperfect and the function is imperfect; public's supervision awareness is weak and social supervision mechanism develops slowly. The paths for rebuilding Chinese rural financial supervision system are put forward including accelerating rural financial legislation to provide perfect legal evidence for rural financial supervision system; clarifying the position on governmental functions and fully displaying the leading role of rural financial supervision; establishing specialized rural financial supervision organization to perfect its supervision functions; vigorously cultivating people's supervision awareness to promote the development of social supervision mechanism.

On the theoretical framework and practice of financial development and financial supervision

Along with the history of the development of financial regulation, we can see that the theory of evolution has experienced from financial liberalization to financial supervision, financial regulation, then to the stage both with the safety and efficiency of financial supervision ; development of the theory of financial regulation experienced the theory of financial supervision represented by classical economics and neo- classical economic theory, to the Keynesian theory and financial repression theory, financial fragility hypothesis, the progressive liberalization of the financial road, then to the financial regulatory theory, regulatory function theory concept, regulatory incentives theory under the framework of economics of information in the 1990s. You can see the way scholars will not have feared in the study of financial regulation, and each theory proposed has its special significance in the special economic and financial environment at the time, and we can not necessarily say what kind of theory is advanced in other theory.

Financial Supervision to Be Tightened

In a bid to prevent financial crisis andalleviate its impact to Chinese enonomy,thegovernment is studying on an early warningsystem for financial risk management.

Discussion on the Financial Management Goal and the Investor Supervision for Enterprise

The investors and the managers are different interest entities in a firm, so there must be divergences between them in their value reference and goal selection. When a firm wants to determine its financial management goal, not all the relevant interest parties need to be considered with, but only the principal entities of them. It＇s necessary to set up the investor supervision mechanism by some certain system arrangement in order to realize the interest maximization of shareholders coinciding with the manager＇s interest maximization pursued by managers.

Analysis of Identification and Supervision of Financial Risk Based on One Belt and One Road

With the continuous development andprogress of social economy, people pay more and moreattention to financial risks. Thus modern economy hasclose link with finance, and the One Belt and One Roadis a new exploration of social economy. If the moderneconomy wants better development, One Belt and OneRoad construction should be brought into economicdevelopment. And it has an impact on trade financingand outward investment of enterprises. Therefore,if it wants to be carried out smoothly, the financialmanagement mechanism should be improved. In thispaper, a concrete analysis of the identification andsupervision of financial risks will be made under OneBelt and One Road construction.

Discussion on the Enhanced Accounting Supervision System of Financial Management

Accounting supervision is a management activity to monitor and supervise the production, business operation, and budget implementation in enterprises, and a good accounting supervision plays an extremely important role in the social and economic development. In China, there are many accounting supervision problems in accounting practice at present, and a lot of the problems have exerted a negative impact on the social and economic life. Therefore, the causes for these problems are discussed and analyzed, so that the corresponding methods and measures are proposed for solving the existing problems and promoting the accounting supervision to play a better and greater role in the financial management of enterprises.

Discussion on the Enhanced Accounting Supervision System of Financial Management

Accounting supervision is a management activity to monitor and supervise the production, business operation, and budget implementation in enterprises, and a good accounting supervision plays an extremely important role in the social and economic development. In China, there are many accounting supervision problems in accounting practice at present, and a lot of the problems have exerted a negative impact on the social and economic life. Therefore, the causes for these problems are discussed and analyzed, so that the corresponding methods and measures are proposed for solving the existing problems and promoting the accounting supervision to play a better and greater role in the financial management of enterprises.

Cooperative Governance Path of Financial Technology Supervision

Financial technology changes the logic of financial interpretation through the use of digital and digital centric technologies,commercialization,big data analysis,machine learning and artificial intelligence.From financial institutions that use technology to provide financial services to technology companies that directly provide financial services,fintech companies play an important role in realizing financial brokerage and financial democratization and improving the availability and efficiency of financial services.Based on this,this paper focuses on the plight and path of cooperative governance of financial technology supervision,for the reference of relevant personnel.

A Preliminary Study of Embedded Supervision Thoughts:Based on a Distributed Financial System

Regulation of technology has been a hot issue in the financial field in recent years.Traditional financial regulation is constructed by a centralized account system,which relies on ex-ante regulation.Embedded supervision,which relies on regulation during and after the matter,operates in a decentralized and trusted environment and has the characteristics of high efficiency,transparency,and safety.It provides a breakthrough to solve the lag of traditional financial supervision.This paper clarifies the concepts and theoretical basis of embedded supervision,constructs the embedded supervision model with a lag,and analyzes the feasibility of embedded supervision with a lag.This research can promote scientific exploration and method innovations in the domestic finance field,enrich China’s financial discipline system,and provide decision-making references for practical financial supervision innovation.

Impact of Punitive Supervision on Corporate Financial Performance

Financial performance is an indicator to measure the strength of a company’s business operation capability,which is of great concern to enterprise managers,external investors,and government regulators.Based on the data of Chinese listed companies from 2012 to 2016,this paper included government administrative penalties regulation into the study of factors influencing corporate financial performance and conducted an empirical analysis.The research shows that punitive supervision has a significant negative impact on corporate financial performance;rectifying the effect on financial performance would increase the operating cost.Simultaneously,the degree of punitive supervision will also affect corporate financial performance,with the financial performance of listed companies subjected to severe punitive supervision being poorer.

On fractional discrete financial system:Bifurcation,chaos,and control

The dynamic analysis of financial systems is a developing field that combines mathematics and economics to understand and explain fluctuations in financial markets.This paper introduces a new three-dimensional(3D)fractional financial map and we dissect its nonlinear dynamics system under commensurate and incommensurate orders.As such,we evaluate when the equilibrium points are stable or unstable at various fractional orders.We use many numerical methods,phase plots in 2D and 3D projections,bifurcation diagrams and the maximum Lyapunov exponent.These techniques reveal that financial maps exhibit chaotic attractor behavior.This study is grounded on the Caputo-like discrete operator,which is specifically influenced by the variance of the commensurate and incommensurate orders.Furthermore,we confirm the presence and measure the complexity of chaos in financial maps by the 0-1 test and the approximate entropy algorithm.Additionally,we offer nonlinear-type controllers to stabilize the fractional financial map.The numerical results of this study are obtained using MATLAB.

2P3FL:A Novel Approach for Privacy Preserving in Financial Sectors Using Flower Federated Learning

The increasing data pool in finance sectors forces machine learning(ML)to step into new complications.Banking data has significant financial implications and is confidential.Combining users data from several organizations for various banking services may result in various intrusions and privacy leakages.As a result,this study employs federated learning(FL)using a flower paradigm to preserve each organization’s privacy while collaborating to build a robust shared global model.However,diverse data distributions in the collaborative training process might result in inadequate model learning and a lack of privacy.To address this issue,the present paper proposes the imple-mentation of Federated Averaging(FedAvg)and Federated Proximal(FedProx)methods in the flower framework,which take advantage of the data locality while training and guaranteeing global convergence.Resultantly improves the privacy of the local models.This analysis used the credit card and Canadian Institute for Cybersecurity Intrusion Detection Evaluation(CICIDS)datasets.Precision,recall,and accuracy as performance indicators to show the efficacy of the proposed strategy using FedAvg and FedProx.The experimental findings suggest that the proposed approach helps to safely use banking data from diverse sources to enhance customer banking services by obtaining accuracy of 99.55%and 83.72%for FedAvg and 99.57%,and 84.63%for FedProx.

Unleashing the Power of Multi-Agent Reinforcement Learning for Algorithmic Trading in the Digital Financial Frontier and Enterprise Information Systems

In the rapidly evolving landscape of today’s digital economy,Financial Technology(Fintech)emerges as a trans-formative force,propelled by the dynamic synergy between Artificial Intelligence(AI)and Algorithmic Trading.Our in-depth investigation delves into the intricacies of merging Multi-Agent Reinforcement Learning(MARL)and Explainable AI(XAI)within Fintech,aiming to refine Algorithmic Trading strategies.Through meticulous examination,we uncover the nuanced interactions of AI-driven agents as they collaborate and compete within the financial realm,employing sophisticated deep learning techniques to enhance the clarity and adaptability of trading decisions.These AI-infused Fintech platforms harness collective intelligence to unearth trends,mitigate risks,and provide tailored financial guidance,fostering benefits for individuals and enterprises navigating the digital landscape.Our research holds the potential to revolutionize finance,opening doors to fresh avenues for investment and asset management in the digital age.Additionally,our statistical evaluation yields encouraging results,with metrics such as Accuracy=0.85,Precision=0.88,and F1 Score=0.86,reaffirming the efficacy of our approach within Fintech and emphasizing its reliability and innovative prowess.

The Impact of the Digital Economy on Financial Regulatory Costs: An Empirical Analysis Based on the Solow Growth Model

As a novel economic form,the digital economy is reshaping the financial regulatory landscape and significantly impacting regulatory costs.This paper incorporates the digital economy and financial regulatory costs into the classic Solow growth model,uncovering an inverted U-shaped relationship between them.A subsequent mechanism analysis explains the rationale behind this relationship.To empirically examine this relationship in China,the paper utilizes inter-provincial panel data from 2013 to 2021 and employs methodologies such as the two-way fixed effects and moderating effects models.These analyses have important implications for the sound and sustainable development of China’s financial industry.The findings indicate:(a)As China’s digital economy develops,its impact on financial regulatory costs follows an inverted U-shaped pattern,initially increasing and then declining.This conclusion remains valid after robustness tests.(b)The influence of the digital economy on regulatory costs depends on favorable external conditions.Specifically,the impact is more pronounced in regions and periods with better digital infrastructure and more abundant human capital.(c)Additionally,redundant resources moderate this impact,which can weaken the inverted U-shaped relationship.Our findings not only provide a theoretical foundation for understanding the impact of the digital economy on financial regulatory costs but also offer valuable policy insights for optimizing financial regulation in China.

Regulatory Issues and Countermeasures in International Financial Markets

With the deepening of globalization,the development speed of capital markets is constantly accelerating,presenting a trend of globalization.At the same time,the emergence of multiple forms of trading platforms and diversified financial products further highlights the competitive relationship between security exchanges and other trading platforms.While promoting the transformation of security exchange forms in various countries,it also prompts governments to re-examine the financial regulatory system of securities markets.In this situation,it is very important to research the international financial market and financial regulatory system.This article explores the regulatory issues and countermeasures in the international financial market,intending to promote the stability and healthy development of the international financial market.

Deep Learning for Financial Time Series Prediction:A State-of-the-Art Review of Standalone and HybridModels

Financial time series prediction,whether for classification or regression,has been a heated research topic over the last decade.While traditional machine learning algorithms have experienced mediocre results,deep learning has largely contributed to the elevation of the prediction performance.Currently,the most up-to-date review of advanced machine learning techniques for financial time series prediction is still lacking,making it challenging for finance domain experts and relevant practitioners to determine which model potentially performs better,what techniques and components are involved,and how themodel can be designed and implemented.This review article provides an overview of techniques,components and frameworks for financial time series prediction,with an emphasis on state-of-the-art deep learning models in the literature from2015 to 2023,including standalonemodels like convolutional neural networks(CNN)that are capable of extracting spatial dependencies within data,and long short-term memory(LSTM)that is designed for handling temporal dependencies;and hybrid models integrating CNN,LSTM,attention mechanism(AM)and other techniques.For illustration and comparison purposes,models proposed in recent studies are mapped to relevant elements of a generalized framework comprised of input,output,feature extraction,prediction,and related processes.Among the state-of-the-artmodels,hybrid models like CNNLSTMand CNN-LSTM-AM in general have been reported superior in performance to stand-alone models like the CNN-only model.Some remaining challenges have been discussed,including non-friendliness for finance domain experts,delayed prediction,domain knowledge negligence,lack of standards,and inability of real-time and highfrequency predictions.The principal contributions of this paper are to provide a one-stop guide for both academia and industry to review,compare and summarize technologies and recent advances in this area,to facilitate smooth and informed implementation,and to highlight future research directions.

Moderating effect of corporate financialization on the impact of climate policy on corporate green innovation:Evidence from China

With intensifying global climate change,humanity is confronted with unparalleled environmental challenges and risks.This study employs the staggered difference-in-difference model to examine the relationship between climate policy and green innovation in the corporate financialization context.Using Chinese-listed company data from 2008 to 2020,our analysis reveals a favorable correlation between China’s carbon emission trading policy(CCTP)and advancements in green innovation.Furthermore,we find that the level of corporate financialization moderates this correlation,diminishing the driving effect of CCTP on green innovation.Additionally,results of heterogeneity analysis show that this moderating consequence is more evident in non-state owned and low-digitization enterprises compared with state-owned and high-digitization ones.Our findings contribute to the existing literature by clarifying the interaction between CCTP,green innovation,and corporate financialization.Our research provides valuable insights for policymakers and stakeholders seeking to strengthen climate policies and encourages green innovation in different types of businesses.

Impact of US Financial Sanctions on the Dollar's International Status

In 2022,the United States stepped up its sanctions on Russia.Most notably,it restricted the flow of the Russian Central Bank's foreign exchange(forex)assets,using financial administrative power as a source of strategic leverage.This move should have reduced the appeal of US dollar assets but in reality has not accelerated as expected the decline of the greenback as a store of value.The US dollar's share of global forex reserves increased instead of decreased during 2022 and 2023.Despite the rise of economic costs caused by tightened US financial sanctions,countries that recognize the geopolitical role of the United States have further accepted the dollar's international status;their continued willingness to live with the dollar's“security premium”has given a fillip to the US dollar in the short term,boosting its appeal as a reserve currency.Meanwhile,de-dollarization of forex reserves has yet to reach a sufficient scale,thus falling short of significantly challenging the dollar's reign.From a longer-term perspective,as economic and security conditions shift,countries that accept the dollar's international role or seek de-dollarization may change their choices.As a result,four possible scenarios may arise:(i)the preeminence of the US dollar remains unthreatened;(ii)the international monetary system splits into blocs;(iii)the international monetary system fragments;and(iv)the dollar loses its throne.The author believes that the last scenario is the most likely outcome.

Assessing Financial Management Practices and Accounting Mechanisms in Agricultural Cooperatives:A Case Study From Nepal

The study focuses on assessing the financial management practices and accounting mechanisms in agricultural cooperatives in Tulsipur Sub-Metropolitan,Dang District,Nepal with a focus on understanding their implications for financial performance and organizational effectiveness.The sample size of total cooperatives(n=46)was divided into Savings and Credit Cooperatives(n=18)and Multipurpose Cooperatives(n=28),respectively,with a total number of respondents(n=138)categorized into managing directors,employees,and general members.Using a mixed-methods approach that combines quantitative analysis of financial data with qualitative insights gathered through interviews and surveys,the study emphasizes the importance of modern financial practices,improved reporting mechanisms,and relevant staff training for long-term sustainability.Recommendations include the integration of criteria and evaluation tools to assess cooperative performance,with Hamro Pahunch Multipurpose Cooperative identified as a high performer.Emphasizing the need for robust financial management strategies to navigate the complexity of the agricultural sector,manage risks,and achieve sustainable development,the study notes frequent preparation of financial management reports on a monthly and annual basis,and predominantly annual accounting management.Most cooperatives are using computerized models to present financial positions,but face challenges such as lack of marketing infrastructure,cooperative skills,and technical support.Ultimately,the study advocates for educating policy makers,cooperative leaders,practitioners and stakeholders on the role of effective financial management and accounting in enhancing the resilience,expansion and socio-economic impact of agricultural cooperatives,thereby fostering their long-term prosperity and viability as drivers of rural development and empowerment.