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 impact of financial slack to product competition ——Based on the growth perspective of real estate enterprises

This article is based on growth, financial multidimensional perspective of redundancy and product market competition, focus on growth as a key variable, to explore the growth of financial redundancy and product market competition. The data of 326 real estate companies were selected for empirical analysis. The research finds that the financial redundancy promotes competition in the product market, and the relationship between the growth of the enterprise growth and the competition between the financial redundancy and the competition of the product market.

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.

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.

Investigating the components of fintech ecosystem for distributed energy investments with an integrated quantum spherical decision support system

This study aimed to evaluate the components of a fintech ecosystem for distributed energy investments.A new decision-making model was created using multiple stepwise weight assessment ratio analysis and elimination and choice translating reality techniques based on quantum spherical fuzzy sets.First,in this model,the criteria for distributed energy investment necessities were weighted.Second,we ranked the components of the fintech ecosystem for distributed energy investments.The main contribution of this study is that appropriate strategies can be presented to design effective fintech ecosystems to increase distributed energy investments,by considering an original fuzzy decision-making model.Capacity is the most critical issue with respect to distributed energy investment necessities because it has the greatest weight(0.261).Pricing is another significant factor for this condition,with a weight of 0.254.Results of the ranking of the components of the fintech ecosystem indicate that end users are of the greatest importance for the effectiveness of this system.It is necessary to develop new techniques for the energy storage process,especially with technological developments,to prevent disruptions in energy production capacity.In addition,customers’expectations should be considered for the development of effective and user-friendly financial products that are preferred by a wider audience.This would have a positive effect on fintech ecosystem performance.

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.

基于GGInformer模型的金融数据特征提取及价格预测

为了解决金融时序预测任务中出现的特征参数冗余问题,用遗传算法对金融数据进行特征提取,通过三组对比实验进行验证分析。实验结果显示,加入了遗传算法的预测模型比未加入遗传算法的模型在三种数据集上的MSE均有所降低。最终结果证明遗传算法可以有效解决金融产品价格预测过程中的特征冗余问题。为了解决非线性的长序列金融数据预测效果差的问题,通过结合GRU网络和Informer模型构建了GGInformer模型来对金融产品价格进行预测。模型在三种外汇产品数据集上与其他四种预测基准方法进行了对比实验,实验结果与可视化分析表明,所提模型在金融产品交易价格的预测结果上有明显优势,可以提高预测的精度。

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.

The Financial Barriers of SMEs in Albania and Their Impact on the Economic Development

Small and medium enterprises （SMEs） represent a significant portion of gross domestic product （GDP） and are recognized as pillars of the economy in Albania. They are the first generators of employment and have a positive impact on revenue from taxes and fees. SMEs are the main bearer of new technology and innovation in the economic fields and the development and exchange of experiences between countries and cultures. The main problems facing the SMEs are administrative barriers, project financing, and lack of specialists in specific profiles. The fact in Albania needs too much work to be done to improve the high degree of informality. The financial system in Albania has not been confronted with a pure financial crisis. The system has had problems that stem from macroeconomic and microeconomic issues, such as fiscal problems, the existence of the informal market, lack of public knowledge about the financial market, and the impact of the international crisis.

Regression Analysis of the Sensitivity of Labor Productivity in Tourism to Operating Costs

The paper investigates the impact of selected variables of operating costs on labor productivity in the activity of accommodation and preparation and serving of food and beverages in the period from 2010 to 2020.The research was conducted by applying more linear on a sample of all companies that submitted annual financial reports in the observed period.The authors elaborate the special characteristics of the importance of labor productivity as an important indicator of business success,methods,and importance of business cost management and analyze the sensitivity of labor productivity to the costs incurred.Based on regression analysis,it is concluded that the amount of costs has an impact on the growth or decline of labor productivity,but based on the results of some of the costs incurred in business positively affects labor productivity,which is partially confirmed by the hypothesis of this study.

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.

Financial Valuation of Segment-Specific Marketing Activities and Market Segment Development

By applying methods of investment appraisal, this paper offers a financial approach for determining the optimal level of segment-specific marketing activities and market development under the conditions of imperfect markets and uncertainty. Within the scope of marketing planning and controlling, the model is suited to optimizing an enterprise＇s market activities and taking interdependencies between market segments, production, and investments into account. Applying duality theory of linear programming allows for identifying the income determinants and deriving formulas for a correct valuation by using （corrected） net present values （NPVs）. Under certain conditions, they can also be used to easily evaluate and financially interpret the effects of parameter changes. The author uses sensitivity analysis to support these findings and to obtain more information on the effects of these determinants.

Co-integration Analysis of the Relationship between New Product Output and R&D Investment in China’s Pharmaceutical Industry

Objective To study the possible relationship between the output of new products in China’s pharmaceutical industry and the investment in research and development(R&D),and to provide a theoretical basis for the decision-making of relevant enterprises and institutions.Methods The econometric software Stata 14 was used to perform unit root test on the relevant data.Then,a co-integration regression equation was established after stabilization,which was analyzed through co-integration test(E-G two-step method).Results and Conclusion There is a long-term equilibrium and short-term error correction relationship between the output of new products and the investment of R&D funds in China’s pharmaceutical industry.During the lagging periods from 1 to 6,R&D investment is the Granger reason for the output of new products.The investment of R&D funds has a positive effect on the output of new products and the effect is significant.Therefore,more investment should be made in R&D to enhance the output of new products.

金融发展水平对FDI技术溢出效应的影响研究

以索洛余值法求得各地区的全要素生产率,并以其对数作为衡量技术溢出效应的指标,来研究金融发展水平对FDI技术溢出效应的影响。基于2003—2021年中国各个省(市、自治区)的面板数据的实证分析结果表明在东、中部地区高度发达的金融市场促进了FDI技术溢出效应的扩散,有利于当地的技术进步。而在西部地区,相对落后的金融市场无法与快速发展的FDI规模相匹配,企业无法有效融资,FDI的技术溢出效应无法很好地被吸收。因此,只有分区域采取不同的政策才可以更好地推进各地区对FDI技术溢出效应的吸收,只有平衡金融市场和FDI规模的协调发展才能使FDI技术溢出效应对当地技术进步的促进作用最大化。

日本证券业金融ADR的新发展及启示

日本证券和金融商品斡旋咨询中心作为"指定纠纷解决机构"之一,首先构建了行业FOS制度,独具特色的咨询、投诉、斡旋一体化运营,对有效解决证券纠纷、维护金融消费者权益起到了重要作用,是金融ADR(替代式纠纷解决方式)的一次成功创新,对我国有很大的启示意义。在金融纠纷不断增加的背景下,我国建立了证券纠纷调解机制,但仍然存在不足。我国可借鉴日本经验,结合实际情况,首先在证券业取得突破,并逐步导入金融FOS(Financial Ombudsman Service,简称FOS)制度,分阶段分步骤实现金融纠纷处理机制的统合。

普惠金融与绿色全要素生产率——基于R&D投入视角

普惠金融是国家金融战略的重要组成部分,其与绿色全要素生产率的关系值得深入探究。通过构建指标体系和使用SFA-Malmquist效率测度方法,分别测算了中国31个省份2007—2017年的普惠金融指数与绿色全要素生产率,并以研发投入为中介变量实证检验了普惠金融对于绿色全要素生产率的影响与作用机制。结果发现:普惠金融通过缓解企业研发创新融资约束、释放创新活力促进绿色全要素生产率提升,研发投入对绿色全要素生产率的促进作用主要体现在技术效率这一分解因子上。进一步研究表明,该中介效应在空间上具有明显的异质性,在中国西部地区普惠金融的发展对缓解融资约束和提升绿色全要素生产率的作用更加显著。

金融危机环境下研究与开发(R&D)活动对企业绩效的影响

2008年金融危机爆发后,国家决策层强烈地意识到自主创新、提高核心竞争力对于企业抵御金融危机的重要作用。因此,本文利用金融危机中企业层面的数据对上述论断进行了实证研究。研究结果表明,即使在上一次金融危机中,研究与开发(R&D)活动与企业绩效仍然表现出很显著的相关关系;且R&D投入对企业绩效的贡献已经逐渐超过资本。可见,自主创新的确可以为企业创造出更多的经济绩效,能够提高企业的核心竞争力,有助于企业顺利度过这场金融危机。