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.

Financial sector development and Investment in selected countries of the Economic Community of West African States: empirical evidence using heterogeneous panel data method

This study investigated the impact of financial sector development on domestic investment in selected countries of the Economic Community of West African States(ECOWAS)for the years 1985–2017.The study employed the augmented mean group procedure,which accounts for country-specific heterogeneity and crosssectional dependence,and the Granger non-causality test to test for causality in the presence of cross-sectional dependence.The results show that(1)The impact of financial sector development on domestic investment depends on the measure of financial sector development utilised;(2)Domestic credit to the private sector has a positive but insignificant impact on domestic investment in ECOWAS,whereas banking intermediation efficiency(i.e.,ability of the banks to transform deposits into credit)and broad money supply negatively and significant influence domestic investment;(3)Cross-country differences exist in the impact of financial sector development on domestic investment in the selected ECOWAS countries;and(4)Domestic credit to the private sector Granger causes domestic investment in ECOWAS.The study recommends careful consideration in the measure of financial development that is utilised as a policy instrument to foster domestic investment.We also highlight the importance of employing country-specific domestic investment policies to avoid blanket policy measures.Domestic credit to the private sector should be given priority when forecasting domestic investment into the future.

Testing the relationship between financial sector output,employment and economic growth in North Cyprus

Sound and efficient functioning of financial systems is critical to the economic prosperity of any economy.This paper investigates the tripartite relationship between financial sector output,employment and economic growth in North Cyprus.Using relevant time series data analysis(within the framework of structural breaks and VECM),we found that financial sector output in North Cyprus is sensitive to both internal and external shocks in that its economy is well linked with the global economy,in spite of the political isolation sustained since the bifurcation of Cyprus into North and South.The study further documents evidence of the neutrality hypothesis in the finance-growth nexus.The underlying variables were weakly connected in the short-run.However,economic growth responded to the short-run shocks and handled the equilibrating process of reverting to the long-run trend and thus,the demand following hypothesis is confirmed in the long-run.

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.

Development of environmental management system in China’s financial sector

The establishment of the environmental management system in the financial sector can be effectively promoted through the introduction of the environmental protection concept and its implementation by the financial sector.The impact of a sustainable development system on the sector is analyzed in this article from three aspects:environmental risk assessment,financing support for environmental protection projects,and financial services to environmentally friendly corporations and individuals.Influential factors on the development of the environmental management system in China’s financial sector are discussed from the perspective of various entities such as financial institutions,financial regulation authorities,environmental protection departments,corporations,and the public.It is pointed out that China’s financial sector is now in the transitional phase from a defensive attitude to a preventive attitude.Strengthening governmental guidance,the supervision of regulators as well as public awareness of environmental protection should be used to enhance the initiative in the development of the environmental management system in the Chinese financial sector.

Risks and Causes of Financial Sector’s High Growth in China

In recent years,China’s financial sector has witnessed a high growth trend.This trend has been caused by several reasons:the traditional macro-control tools do not match the new normal characteristics of China’s economy growth,the regulatory reform is lagging behind the rapid progress of financial innovation,and the drastic fluctuations of the stock market are combined with a new round of increase in real estate price.In particular,this round of high growth in the financial sector occurs in the context of a rapid decline of manufacturing sector,which reflects the low efficiency of financial operations.It also means the foundation of financial stability and sustainable development is losing and high risks are coming.To deal with this change properly,we need to further deepen financial reform and improve financial supervision,and create a favorable financial environment for the real economy.At the same time,researchers should also reflect on and study the characteristics of China’s financial development,and provide the theoretical basis for maintaining financial security.

Deep Learning Enabled Financial Crisis Prediction Model for Small-Medium Sized Industries

Recently,data science techniques utilize artificial intelligence(AI)techniques who start and run small and medium-sized enterprises(SMEs)to take an influence and grow their businesses.For SMEs,owing to the inexistence of consistent data and other features,evaluating credit risks is difficult and costly.On the other hand,it becomes necessary to design efficient models for predicting business failures orfinancial crises of SMEs.Various data classification approaches forfinancial crisis prediction(FCP)have been presented for predicting thefinancial status of the organization by the use of past data.A major process involved in the design of FCP is the choice of required features for enhanced classifier out-comes.With this motivation,this paper focuses on the design of an optimal deep learning-basedfinancial crisis prediction(ODL-FCP)model for SMEs.The proposed ODL-FCP technique incorporates two phases:Archimedes optimization algorithm based feature selection(AOA-FS)algorithm and optimal deep convo-lution neural network with long short term memory(CNN-LSTM)based data classification.The ODL-FCP technique involves a sailfish optimization(SFO)algorithm for the hyperparameter optimization of the CNN-LSTM method.The performance validation of the ODL-FCP technique takes place using a benchmarkfinancial dataset and the outcomes are inspected in terms of various metrics.The experimental results highlighted that the proposed ODL-FCP technique has out-performed the other techniques.

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.

Research on the Application of Blockchain Technology in the Financial Field from the Perspective of The Belt and Road Initiative

With the continuous deepening of The Belt and Road Initiative development strategy in China,blockchain technology has been more and more widely applied in the financial field.In recent years,the overall operation situation of China’s financial sector is stable.However,with the reform of the economic system and the innovation of the financial sector,there are still many problems in China’s financial sector that need to be improved.With its application advantages,blockchain technology has solved many problems in the financial field.This paper analyses and discusses the application of blockchain technology in the financial field from the perspective of“The Belt and Road Initiative”.

China’s structural transformation:reaching potential GDP in the financial services sector

China’s economy faces the daunting challenge of shifting from a manufacturing-based economy to a services-based economy.Reforms in the services sector are slated to continue to take place in the coming years,including in the financial sector.In this paper,we explore China’s success and challenges with structural change,then take a closer look at the financial services sector to find out where reforms have occurred,where the potential lies,and what the future will bring.We first describe structural change with regard to growth and TFP,then as it applies to China.We examine China’s financial services sector.Next,we calculate potential GDP of the financial services sector now and with the implementation of expected reforms.We find that,given even conservative estimates,the value added of the financial intermediation sector could double,as labor,capital,technology,and elasticity respond to liberalization policies.Whether potential GDP under reforms is reached is another question;therefore,we recommend that China both increase the pace of implementation,focusing in particular on reducing the oligopoly in the banking sector,increasing investment options by reforming its bond and equity markets,and enhancing innovation in the financial sphere while controlling for risk.

The processes of financialisation and economic performance

The paper considers the relationships between financialisation and economic performance.Financialisation is a persistent feature of industrialised capitalism,the nature of which differs over time and space.The present era of financialisation(since circa 1980)has been a world-wide phenomenon proceeding from different starting points and developing at different speeds,and can be viewed through the lens of variegated financialisation.The major features of the present era of financialisation are outlined.The increased scale of the financial sector leads to the issue of the relationship between financialisation and economic performance,and whether the additional resources used in the financial sector have been socially beneficial.The paper is completed by some brief remarks on the possibilities of de-financialisation.

Putting the Cart before the Horse? Capital Account Liberalization and Exchange Rate Flexibility in China

This paper reviews the issues involved in moving towards greater exchange rate flexibilityand capital account liberalization in China. A more flexible exchange rate regime wouldallow China to operate a more independent monetary policy, providing a useful bufferagainst domestic and external shocks. At the same time, weaknesses in China’s financialsystem suggest that capital account liberalization poses significant risks and should be alower priority in the short term. This paper concludes that greater exchange rate flexibilityis in China’s own interest and that, along with a more stable and robust financial system, itshould be regarded as a prerequisite for undertaking a substantial liberalization of thecapital account.