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.

Assessment on Energy Self-Sufficiency Rate for Building Integrated Photovoltaics and Fuel Cell System in Japan

A building integrated photovoltaic (PV) and fuel cell (FC) system is proposed for assessment of the energy self-sufficiency rate in a city in Japan. The electricity consumed in the building is mainly supplied by solar panels, while the gap between the energy demand and supply is solved by the FC that is powered by the H2 produced by water electrolysis with surplus power of PV. A desktop case study of using the proposed system in Tsu city which is located in central part of Japan, has been conducted. The results found that the self-sufficiency rates of PV system to electricity demand of households (RPV) during the daytime in April and July are higher than those in January and October. The results also reveal that the self-sufficiency rate of FC system to the electricity demand (RFC) is 15% - 38% for the day when the mean amount of horizontal solar radiation is obtained in January, April, July and October. In addition, it is found the optimum tilt angle of solar panel installed on the roof of the buildings should be 0 degree, i.e., placed horizontally.

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.

An exchange rate determination model for central banks＇interventions in financial markets

We establish an exchange rate determination model for central banks' interventions in financial markets. The model shows that central banks can adjust exchange rate by several policy instruments and that different instruments may have different effects on exchange rate determination. It specifies potential policy instruments for central banks as well as their policy effects. Based on these effects, feasible matches of policy instruments in contingent intervention are put forth.

A Nonlinear Dynamic Model of the Financial Crises Contagions

Employing the Differential Dynamics Method, a nonlinear dynamic model is set up to describe the international financial crises contagion within a short time between two countries. The two countries’ control force depending on the timely financial assistance, the positive attitude and actions to rescue other infected countries, and investor confidence aggregation, and the immunity ability of the infected country are considered as the major reasons to drive the nonlinear fluctuations of the stock return rates in both countries during the crisis. According to the Ordinary Differential Equations Qualitative Theory, we found that there are three cases of financial crises contagion within a brief time between two countries: weak contagion with instability but inhibition, contagion with limit and controllable oscillation, and strong contagion without control in a brief time.

Does financial depth impact economic growth in North Cyprus?

This study purpose is to connect the proxy of financial development which is total banking sector’s deposits with the economic growth in North Cyprus.The reason for using the total deposit differently with the existing literature is because North Cyprus is bank-based financial system.Therefore,this study provides an analysis of the connection between finance-growth nexus in North Cyprus from 1978 through 2015,using the autoregressive distributed lag(ARDL)model and combined cointegration to evaluate and verify the relationship.In addition,this research added the inflation rate to the model specification to investigate the inflation-growth interaction.The results revealed that both methods of cointegration provided robust evidence for a long-run relationship between financial debt and growth.The ARDL long-run and short-run coefficients showed the positive impact of depth and the negative impact of inflation on economic growth,thereby confirming the strength of the financegrowth and inflation-growth connections.Moreover,financial depth had a larger coefficient than the inflation rate.Finally,the VECM Granger causality test provided evidence for unidirectional causality from the total deposits and inflation rate to economic growth in North Cyprus.These results are significant for the policymakers of North Cyprus because the findings show that economic growth can be improved by enhancing the deposit rates in the financial system.

Spillovers of US unconventional monetary policy:quantitative easing,spreads,and international financial markets

This study investigates the international spillover effects of US unconventional monetary policy(UMP)-frequently called large-scale asset purchases or quantitative easing(QE)—on advanced and emerging market economies,using structural vector autoregressive models with high-frequency daily data.Blinder(Federal Reserve Bank of St.Louis Rev 92(6):465–479,2010)argued that the QE measures primarily aim to reduce US interest rate spreads,such as term and risk premiums.Considering this argument and recent empirical evidence,we use two spreads as indicators of US UMP:the mortgage and term spreads.Based on data from 20 emerging and 20 advanced countries,our empirical findings reveal that US unconventional monetary policies significantly affect financial conditions in emerging and advanced countries by altering the risktaking behavior of investors.This result suggests that the risk-taking channel plays an important role in transmitting the effects of these policies to the rest of the world.The extent of these effects depends on the type of QE measures.QE measures such as purchases of private sector securities that lower the US mortgage spread exert stronger and more significant spillover effects on international financial markets than those that reduce the US term spread.Furthermore,the estimated financial spillovers vary substantially across countries and between and within the emerging and advanced countries that we examine in this study.

PONDERING OVER THE ASIAN FINANCIAL TURMOIL

The financial turmoil originated from Sountheast Asiastill spreading through Asia, putting to the severe testthe newly emerged Asian market which is thought tobe an economic miracle in the world, affecting Europe,America, Latin America and Australia. It brings about im-pact and influence on the global economy to varying degress,therefore giving deep lessons and asking for profound con-siderations.Attack on Thai bahttriggered Asian stock crisisIn February, international speculators stirred up a tur-moil of selling Thai baht, making Thai baht flucuate againstUS dollar by a wide margin, giving rise to domestic

China"s Financial Situation and Its Task

Since the beginning of1995,the financial situation hasbeen gratifying with theimprovement of the macro-economic environment and thedeepening of financialrestructuring.Under the StateCouncil,the People’s Bank ofChina has implemented thepolicy of tightening the moneysupply to a moderate degreeand strengthened thesupervision and control offinance,obtaining remarkableresults.Recently Dai Xianglong,Governor of the People’s Bankof China,introduced thefollowing aspects of thesituation:

Facing Both Challenges and Opportunities:How Can Financial Service Firms Survive Under the Pandemic?SOAR Analysis of Three Leading Firms in the Financial Service Industry

After the breakout of COVID-19,many entity industries have to shut down.The rapid decline of money transaction caused by the shutdown of the entity industries has shocked the financial service industry while the increase in digital transactions also offers them opportunities.Facing both challenges and opportunities,financial services firms should change their target and compensation policy during the pandemic to survive.After analysing three major firms in this industry by using SOAR method,we conclude four keys for financial services firms to survive in COVID-19.

An Inside View of Microcredit in Panama： The Financial Investment in MFIs

The idea of this survey on microfinance in Panama arises from the importance of this financial sector in Latin America, in particular this paper analyzes the system of microcredit and estimate, among other things, the financial needs of the institutions of microcredit as a potential target of international investment. The present paper aims to provide a cognitive framework on microcredit in Panama. It wants to demonstrate how this country can be an area in which international investors can operate considering that this form of credit can improve their yields especially in countries, such as Panama, characterized by high interest rates. Under the methodological point of view, the paper considers the financial variables of microcredit in Panama. In this way, it reaches the goal of the research to identify MFIs （micro finance institutions） as a potential target of investors.

Effect of Macro Factor Volatility on the Returns of Financial Sector in Southeast Asian Stock Markets

The emphasis of this study is on the practice of the Pooled Mean Group （PMG） estimators to investigate the magnitude of macroeconomic performances： Real Gross Domestic Product （RGDP）, Foreign Exchange Rate （EX）, and Deposit Interest Rate （DINT） affecting on the rate of financial sector returns in Southeast Asian Stock Markets including Stock Exchange Of Thailand （SET） index （Thailand）, the Kuala Lumpur Composite Index （KLSE） index （Malaysia）, Financial Times Share Index （FTSI） （Singapore）, Philippine Stock Exchange （PSE）, and the Jakarta Composite Index （JKSE） （Indonesia）. The Panel Autoregressive Distributed Lag （Panel ARDL） is applied to model the relations. The study applies the Levin, Lin, and Chu （LLC） test （2002） and Im, Pesaran, and Shin （IPS） test （2003） to investigates a set of time series data to examine whether the determinants and the rate of financial sector returns contain a unit root, the next step is investigated the cointegration and causality relationship of the determinants of financial sector influencing on long-run rate of returns of financial sector in Southeast Asian Stock Markets.

Financial Crisis 2008 Impact on China Chemical Fiber Industry

On Jun. 10-12, 2009, The 15th China’s International Chemical Fiber Conference, with the theme of "Financial Crisis and Chemical Fiber Industry", was held at Hangzhou, Zhejiang Province. During the conference, the China Chemical Fiber Association released a speech on "The Impact of Global Financial Crisis on China Chemical Fiber Industry and Response Strategies". Here in the following part, we will focus on the part of the impact of financial crisis on Chinese chemical fiber industry. In our next issue, we will go on with the part of Response Strategies.

托育服务补助制度:理论逻辑与可行性分析

儿童照顾服务具有公共产品属性和社会投资属性,儿童照顾的责任和成本应当由家庭和国家共同承担。在家庭照顾资源减少、托育服务供给有限、养育成本高企的背景下,国家应当建立托育服务补助制度,以降低家庭照顾儿童的成本,并增加有效需求以促进社会化托育服务发展。通过建立适合于全国和各地的估算模型,基于对未来0~2岁婴幼儿人口的预测和适度补助标准,估算2024—2035年托育服务补助制度的财政资金规模发现,这项制度的财务成本可以承受。为此,建议政府积极创造条件尽快实行这项制度,同时健全人口动态监测系统,采用多种补助形式,实行托育服务补助申请制,加强补助资金监管和引导。

农村成长经历会影响城镇家庭储蓄率吗?——来自CHFS 2019的经验证据

由于城市与农村的经济金融环境存在显著差异,成年前在农村成长的城镇居民比在城市成长的城镇居民具有较高的风险厌恶程度和较低的金融知识水平,从而更加偏向低消费和高储蓄。采用中国家庭金融调查(CHFS)2019年数据,将“目前居住在城市地区且拥有非农业户口、18岁之前为农业户口”作为“拥有农村成长经历”的界定标准,实证检验城镇家庭户主的农村成长经历对其家庭储蓄率的影响,结果表明:户主拥有农村成长经历的城镇家庭比户主没有农村成长经历的城镇家庭有更高的储蓄率,风险态度和金融素养在其中发挥了中介作用,即拥有农村成长经历的户主会因较高的风险厌恶程度和较低的金融知识水平而导致其家庭储蓄率较高;农村成长经历对储蓄率的正向影响在户主受教育水平较高、家庭资产较少、经济发展水平较低地区(中西部地区)的家庭中更为显著。因此,需要从改善城市的经济金融状况(降低生活成本、增强社会保障、减少不确定性等)入手来释放城镇居民的消费需求,并通过改善风险态度、加强金融教育、缩小城乡差距等渠道来降低农村成长经历对城镇家庭储蓄率的正向影响。

WPS EXCEL在《化工技术经济》教学中的应用

《化工技术经济》课程具有综合性、实用性、实践性等主要特点,结合课程教学目标及毕业要求指标点,为了提高课堂教学效果,调动学生的学习积极性,针对决策上的数据处理、分析内容,改变教学方法,利用计算机的WPS EXCEL软件工具来解决复杂的财务数据处理,不仅能提高数据的处理速度和精度,而且也能吸引学生的学习兴趣,提升了学习质量。

利率市场化改革的信贷配置质量效应研究

不当行政干预造成区域壁垒,诱发寻租问题,是导致要素市场分割与资源错配的重要成因,信贷市场尤为如此。基于商业银行信贷行为选择视角,运用2003—2019年我国31个省份的面板数据,对地方政府干预情形下我国利率市场化改革的信贷配置质量效应加以研究。结果表明,在干预市场条件下,商业银行具有较强的信贷寻租动机,信贷投放更倾向于迎合地方政府需求而非商业化导向;利率市场化改革带来的市场约束收紧尽管可促使商业银行增强信贷投放的商业性,显著增强区域贷款增长对盈利能力的敏感性,但无法对其信贷寻租动机形成有效抑制,以致其对信贷配置的质量效应难以发挥。而良好的地方政府治理可有效提升利率市场化改革的信贷配置质量效应。研究结论有助于厘清高质量发展要求下深化利率市场化改革的关键点,也为新形势下破除地方行政壁垒、增强地方金融监管效能以助推全国统一大市场建设提供经验参考。

养老保险全国统筹下的委托代理问题:经办机构垂直管理是不是破解之匙?

2022年我国职工养老保险正式实现全国统筹。然而,受制于现行“央地共管”社会保障模式,全国统筹易引发中央与地方政府间委托代理问题,不利于全国统筹目标的顺利实现。在此背景下,经办机构全国垂直管理能否成功化解委托代理问题?利用省级改革近似模拟全国改革,构建计量和精算模型发现:第一,职工养老保险省级统筹造成有效费率降低2.40%,若同时辅以经办机构省级垂直管理,有效费率会提高2.90%;第二,异质性检验结果表明,经办机构实现垂直管理在老龄化程度高和国有经济占比低的地区效果更好;第三,从养老保险经办流程看,统筹层次提高将导致地方政府在参保登记环节放松监管以创造招商引资优势,实现垂直管理后此类寻租行为将得到有效改善;第四,未实现全国统筹下2023—2050年间政府养老保险累计支出达到718.02万亿,实现全国统筹后财政支出规模增加19.06%,若辅以经办机构全国垂直管理,政府养老保险支出规模将下降23.08%。综上,为确保全国统筹政策效应的有效释放,研究认为应采取渐进式改革路径,即首先建立起市级政府对县区级政府垂直管理的经办体系,然后做实养老保险经办机构省级垂直管理,最后再构建起从中央到地方的垂直管理体系,以期推动职工养老保险制度高质量发展。

供应链核心企业财务公司的双边利率定价模型研究

供应链核心企业财务公司的目标是提升链内企业总体资金能力。本文以最优控制理论为指导,基于已有的定价策略模型,以资金成本、预期损失、信誉水平为影响因素构建供应链核心企业财务公司的双边利率定价模型,求解财务公司双边利率的最优值,通过算例分析和图像模拟验证了结果的可行性。结果表明:财务公司的最优贷款利率和最优存款利率之间存在相互影响的函数关系;最优贷款利率随单位成本和信誉水平增加而增加,随预期损失的增加而减小;最优存款利率随单位成本和预期损失的增加而减小,随信誉水平增加而增加,旨在有效指导供应链财务公司进行合理的利率定价。