Effective Return Rate Prediction of Blockchain Financial Products Using Machine Learning

In recent times,financial globalization has drastically increased in different ways to improve the quality of services with advanced resources.The successful applications of bitcoin Blockchain(BC)techniques enable the stockholders to worry about the return and risk of financial products.The stockholders focused on the prediction of return rate and risk rate of financial products.Therefore,an automatic return rate bitcoin prediction model becomes essential for BC financial products.The newly designed machine learning(ML)and deep learning(DL)approaches pave the way for return rate predictive method.This study introduces a novel Jellyfish search optimization based extreme learning machine with autoencoder(JSO-ELMAE)for return rate prediction of BC financial products.The presented JSO-ELMAE model designs a new ELMAE model for predicting the return rate of financial products.Besides,the JSO algorithm is exploited to tune the parameters related to the ELMAE model which in turn boosts the classification results.The application of JSO technique assists in optimal parameter adjustment of the ELMAE model to predict the bitcoin return rates.The experimental validation of the JSO-ELMAE model was executed and the outcomes are inspected in many aspects.The experimental values demonstrated the enhanced performance of the JSO-ELMAE model over recent state of art approaches with minimal RMSE of 0.1562.

Effects of financial development and capital accumulation on labor productivity in sub‑Saharan Africa:new insight from cross sectional autoregressive lag approach

This study aims to shed light on the effects of financial development and accumula-tion of capital on the productivity of labor in the sub-Sahara African region within the period of 1990–2018.In this work,we used the(dynamic)common correlated effects estimator-mean group and additional techniques such as cross-section autoregressive distributed lag to calibrate the sample into the African subregion to ensure robustness.The findings reveal that financial progress in the region over time leads to an increase in productivity of labor and also the accumulation of capital.Furthermore,financial markets have a progressive impact on the productivity of labor within sub-Saharan African regions.We extend the very limited literature on the nexus between financial development and labor productivity by incorporating capital accumulation into our model which has not been previously studied.

Consumer use intention of online financial products:the Yuebao example

Drawing on a valence framework and innovation diffusion theory,this study examines Yuebao deployment to model consumers’intention to use financial products offered online.We collect data via an online survey among a young age bracket and use a VisualPLS graphic interface to test our model.The results indicate that first,compatibility and advantages in relative utility significantly enhance consumers’use intentions and that ease of use has an indirect influence.Second,the negative utility of perceived risk no longer significantly affects intention to use.This mainly lies in consumers’perceived risk focused on the security of online financial products,which has become a part of all online transactions.Third,trust indirectly affects intention to use by influencing utility.

Research on the Influencing Factors of Purchasing Internet Financial Wealth Management Products Based on AHP

Internet financial wealth management product(IFWMP)has recently been one of the most gained popularity.There are limited quantitative research on IFWMP which can help customers to choose products based on the significance of each factor.In this paper,a multi-criteria decision-making model for IFWMP was developed,namely the analytic hierarchy process(AHP)which is commonly used to make decisions for unstructured problems through quantifying weights of each criterion.This paper investigated ten influential factors relevant to the purchase of IFWMP and analyzed the frequency of collected response to show the significance of the factors.Based on the quantified weights,the results of the research indicated that compatibility,product liquidity,perceived ease of use,and perceived usefulness affected investors purchasing behaviors and that every investor should pay great attention to.

Research on the Influencing Factors of Purchasing Internet Financial Wealth Management Products based on AHP

Internet financial wealth management product(IFWMP)has recently been one of the most popularity.There is limited quantitative research on IFWMP which can helps customers to choose the products based on the significance of each factor.In the paper,a multi-criteria decision-making model of IFWMP was developed,namely analytic hierarchy process(AHP)which is used to make decisions to the unstructured problems through quantifying weights of each criterion.This paper investigated ten influential factors relevant to the purchase of IFWMP and analyzed the frequency of collected responds to show the significance of factors.Based on the quantified weights,the result of the research indicated that compatibility,product liquidity,perceived ease of use and perceived usefulness affect the investors purchasing behaviors most that every investors should pay great attention to.

Advances in Studies about Rural Financial Poverty Alleviation from the Perspective of Targeted Poverty Alleviation

With the objective of building a well-off society in an all-round way reaching the decisive stage,poverty alleviation enters the final stage,and rural financial poverty alleviation is increasingly becoming a hot topic of various circles of society. In order to accelerate the poverty alleviation and provide references and recommendations for further development of theory and practice of financial poverty alleviation,this paper made an overview of the organization system,operation mechanism and service products of rural financial poverty alleviation,elaborated the development path of financial poverty alleviation,and came up with recommendations for financial poverty alleviation.

Identification and Calculation Method of the Financial Benefits of IT Projects for Better Financial Evaluation

To financially evaluate an IT projects is to assess its financial feasibility, while the financial benefits are the core parameters of financial evaluation of IT projects. Therefore, correctly identifying the financial benefits of IT projects is the precondition to ensure the validity of the financial evaluation. Essentially, IT projects can be divided into productive IT projects and supportive IT projects. The paper analyzes the importance of identifying the financial benefits and introduces the meaning, characteristics and classification of financial benefits of IT projects. On this basis, the paper identifies the financial benefits of both productive IT projects and supportive IT projects and emphasizes the formation and specific calculation method of the two types of IT projects. For productive IT projects and supportive IT projects, the calculation of financial benefits should employ different methods.

Research on Financial Performance Evaluation of Listed Agricultural Companies in China--Based on VRS-DEA and Malmquist Index

On the basis of sorting the development of the theory of company performance evaluation,this study uses the VRS-DEA model and Malmquist index to evaluate the financial performance of 12 listed agricultural companies in China.Firstly,the selected sample data was standardized,and then the VRS-DEA model was used to analyze the financial performance indicators of the sample companies in 2019.Secondly,the financial performance indicators of the sample companies from 2015 to 2019 were used to longitudinally analyze the company's total factor productivity through the Malmquist index.Finally,based on the analysis of the financial performance evaluation results of sample companies,some suggestions for improving the financial performance of listed agricultural companies in China are put forward.

Nexus Between Financial Liberalization, Balance Of Payment And Economic Growth In Nigeria

The objectives of this paper are to examine the nexus between financial liberalization,balance of payment and economic growth in Nigeria.The scope of this study due to data availability,especially on measures of balance of payment,covers the period of 1986-2017.This study adopts econometrics techniques of analysis by using Panel Unit Root Tests and Co-integration analysis which is used to determine the long run relationship among economic variables.To test the co-integration relationship this study followed the system proposed by Pedroni(1991)who expands the Engle and Granger[9]two stage technique to heterogeneous board information structure.The study adopts annual time series secondary data for the period of 1986 to 2017.Balance of payment,Official Exchange Rate,Inflation rate(%),Balance of trade,Trade openness,Real Gross Domestic Product growth,and Term of Trade,all data used were obtained from the World Development Indicators.The findings of this study revealed that an increase in exchange rate,interest rate,inflation rate,and trade openness have negatively affect economic growth.Hence,changes or movements in these variables do not necessarily prompt the liberalization decision in the real sector.Therefore,the need to address balance of payment is important,in accordance with the low rate of development in Nigeria.We therefore,recommend that government should monitor both Fiscal and Monetary policies’variables that can significantly influence economic growth in Nigeria.That is,adequate balance of payment that can encourage appropriate financial liberalization should be put in place with,Official Exchange Rate,Inflation rate(%),Balance of trade,Trade openness.

金融强国视域下中国版“监管沙盒”的构建与完善——基于金融科技创新监管试点的应用研究

“监管沙盒”是适应金融科技创新发展的新监管模式。在建设金融强国视域下,系统研究中国版“监管沙盒”的构建与完善,对于深化金融科技创新监管试点,坚定不移走中国特色金融发展之路具有重要意义。中国版“监管沙盒”在借鉴国际经验的基础上,贯彻适应我国金融市场特点、坚持金融服务实体经济等原则,构建了中央与地方配合的顶层设计,探索运用信息公开、产品公示、行业自律等监管机制,并落实了从“入盒”到“出盒”的完整测试流程。中国版“监管沙盒”在金融科技创新监管试点项目中的落地实施,呈现出参与主体多元、监管工具丰富、风险普遍较低等新特征,推动了数字技术与金融场景的深度融合,提升了金融科技服务实体经济能力,但在项目准入、权益保护、持续监管等方面仍有待提升,为此需要完善项目分类遴选与“入盒”标准,打造全流程多元监督闭环,优化“出盒”后的持续监管机制,全面保障金融消费者合法权益,促进金融科技守正创新,助力金融强国建设。

数字普惠金融如何赋能乡村产业振兴

厘清数字普惠金融发展赋能乡村产业振兴的作用机制,有助于缓解农村金融资源配置效率不高、金融基础设施不完善和金融服务体系薄弱与日益增长的乡村产业发展需求之间的矛盾。现有文献对数字普惠金融与农村经济现代化做了较为丰富的研究,但是鲜有将其与乡村产业振兴联系起来进行理论与实证的研究。本文从乡村产业生产、乡村产业延伸、乡村产业功能和乡村产业支撑四个维度构建我国乡村产业振兴水平评价指标体系,并多维度实证检验了数字普惠金融对乡村产业振兴的影响。主要有三点发现:一是数字普惠金融发展对乡村产业振兴水平和乡村产业振兴速度均具有显著的正向促进作用;二是数字普惠金融发展覆盖广度、使用深度和数字化程度对乡村产业振兴的边际效应呈现明显差异;三是数字普惠金融不仅可以直接缓解经营主体约束和激活市场活力促进乡村产业振兴,还可以通过农业科技创新、乡村产业融合和农业全要素生产率间接影响乡村产业振兴。

高水平推进金融强国建设:理论蕴意、现实问题及实现机制——做好金融五篇大文章的视角

高水平推进金融强国建设是当前乃至未来一段时期内我国金融领域工作的重中之重。本文深入阐述做好五篇大文章的重要理论蕴意,客观剖析当前发展面临的主要现实问题,并基于五篇大文章之间的内在逻辑关系分析,提出奋力做好五篇大文章助力高水平金融强国建设的实现机制。研究认为,科技金融是支撑科技强国建设的最有力保障、绿色金融是支撑美丽中国建设的最靓丽底色,普惠金融是支撑共富中国建设的最生动实践,养老金融是支撑和美中国建设的最真实写照,数字金融是支撑数字中国建设的最强大动能。基于此,本文围绕科技强国、美丽中国、共富中国、和美中国、数字中国建设目标,从做深做透科技金融大文章、做精做特绿色金融大文章、做实做细普惠金融大文章、做好做优养老金融大文章,以及做大做强数字金融大文章五个层面提出高水平推进金融强国建设的具体实施机制。

雪球产品的风险与启示

2024年1月,媒体报道雪球产品本金亏空或引发证券市场下行,这些消息的传播与扩散可能引发蝴蝶效应,极大地影响投资者情绪与预期,导致人们对金融创新的排斥以及对金融衍生工具的诟病。本文对雪球产品的属性与风险特征进行分析,并分析雪球产品本金亏空的原因,最后提出了对策建议。结果表明,雪球产品是金融市场运用路径依赖期权的设计创新,每一款产品适用于标的资产特定走势的市场行情,非此行情收益不佳,甚至亏损。不应夸大雪球产品的盈利性、忽视风险的客观性。应客观看待媒体报道,理性总结雪球爆仓的经验,为后续产品开发提供宝贵的参考意见。本文的分析一方面旨在从学术专业角度客观分析雪球产品属性,传播科学知识;另一方面也从学术探讨视角提出嵌入奇异期权的创新理财产品良性发展的对策建议。

固体氧化物电解槽辅助煤电机组深度调峰技术可行性研究

常规的煤电机组灵活性改造方案,难以消除频繁快速变负荷对热力系统造成的潜在寿命折损与设备安全风险。为提高煤电机组参与深度调峰的长期安全性与经济性,以某国产超超临界二次再热1000 MW燃煤机组为应用对象,提出了基于氢储能系统的煤电机组“健康调峰”技术路线,并论证了调峰煤电制氢的间接碳减排意义。在此基础上,分析比较了不同制氢工艺与煤电厂生产条件的匹配程度,认为固体氧化物电解槽(SOEC)制氢为综合最优方案,据此给出了SOEC耦合煤电调峰的原理性设计方案,最后以年度负荷曲线对新方案进行了财务分析。计算结果表明,示例机组自第6年起每年可获得1.07亿元/年的净利润,每年减少碳排放281.92 t,同时获得设备延寿、降耗减碳等其他收益。相关结论对于指导调峰煤电机组的健康安全运行具有参考意义。

健全农村金融服务体系:关键领域、优化思路与着力重点

健全农村金融服务体系是加快构建新发展格局、着力推动乡村振兴战略实施的重要内容。当前,我国农村金融需求类型呈现多层次、多元化、差异化特征,金融服务面临金融产品供给与金融需求的结构性错配问题,要求农村金融服务体系进一步健全和完善。与此同时,全面推进乡村振兴战略又要求农村金融服务体系践行普惠金融、适应新金融需求和承担社会责任。在此背景下,健全农村金融服务体系需要正视信贷、保险、支付、理财、担保“五大关键领域”的发展现状和存在问题,明确“五大关键领域”产品创新的重点,理性处理农村金融产品的普适性与差异性关系、创新金融产品与传统金融产品的关系、金融机构盈利性与社会性的关系“三对关系”,进而通过强化农村信贷供给提高农业经营主体信贷可得性,完善农业保险构建包容性风险管理和风险融资体系,创新支付产品破除农村数字支付障碍,创新农村理财新模式满足农民理财需求,优化农业担保模式实现业务与规模平衡。

金融服务新质生产力发展的多维认知与创新路径

金融赋能新质生产力发展是革新传统经济增长方式、生产力发展路径,助力金融强国建设、经济高质量发展和中国式现代化的必然选择。在推动生产力跃迁至新台阶的进程中,须厘清金融助力“劳动者、劳动资料、劳动对象”三大要素发展的演进逻辑,着眼“新要素、新产业、新模式、新动能”四个战略维度,做好“科技金融、绿色金融、普惠金融、养老金融、数字金融”五篇大文章,以金融高质量发展为新质生产力发展注入澎湃动能。

金融强国视域下数字金融服务实体经济高质量发展路径研究

在金融强国视域下,坚持把金融服务实体经济作为根本宗旨,全面研究数字金融服务实体经济高质量发展的路径,具有重要的现实意义。数字金融作为数字技术与数据要素“双轮驱动”的金融创新,主要通过资源配置效应、普惠金融效应和技术溢出效应三条路径服务实体经济的高质量发展。数字金融在优化金融资源跨时空配置、培育和发展新质生产力、满足实体经济普惠金融需求、赋能实体企业数字化转型等方面发挥着重要作用。上述作用路径已在产业数字金融服务、大数据知识产权融资等实例中得到初步印证。但是,对照金融强国建设的战略目标和丰富内涵,其在创新监管、普惠生态、数实融合等方面仍有待提升。为此,论文提出深化金融科技创新监管试点,完善数字普惠金融生态圈,培育和引进生态圈核心企业,加强前沿数字技术的协同攻关和应用,构建数实融合的数字金融“元宇宙”等对策,以期更好地推动数字金融守正创新,加快建设金融强国,全方位服务实体经济高质量发展。