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Effect of Macro Factor Volatility on the Returns of financial sector in Southeast Asian Stock Markets

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Chinese Business Review 2014年第1期13卷 28-33页

作者： Siriwun Wongsrida Prasert Chaitip Chiang Mai University Chiang Mai Thailand

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.

关键词： rate of returns financial sector Southeast Asian Stock Markets panel unit root Panel AutoregressiveDistributed Lag (Panel ARDL)

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

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China Finance and Economic Review 2016年第2期5卷 37-57页

作者： Sara Hsu Alba Carolina Melchor Simon University of New York at New Paltz USA London School of Economics UK

China’s economy faces the daunting challenge of shifting from a manufacturing-based economy to a services-based *** in the services sector are slated to continue to take place in the coming years,including in the financial *** 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 *** first describe structural change with regard to growth and TFP,then as it applies to *** examine China’s financial services ***,we calculate potential GDP of the financial services sector now and with the implementation of expected *** 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 *** 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.

关键词： China financial sector structural transformation banking

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

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Intelligent Automation & Soft Computing 2023年第1期35卷 521-536页

作者： Kavitha Muthukumaran K.Hariharanath SSN School of Management KalavakkamChennai603110India

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 *** SMEs,owing to the inexistence of consistent data and other features,evaluating credit risks is difficult and *** the other hand,it becomes necessary to design efficient models for predicting business failures orfinancial crises of *** 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 *** this motivation,this paper focuses on the design of an optimal deep learning-basedfinancial crisis prediction(ODL-FCP)model for *** 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 *** ODL-FCP technique involves a sailfish optimization(SFO)algorithm for the hyperparameter optimization of the CNN-LSTM *** performance validation of the ODL-FCP technique takes place using a benchmarkfinancial dataset and the outcomes are inspected in terms of various *** experimental results highlighted that the proposed ODL-FCP technique has out-performed the other techniques.

关键词： Small medium-sized enterprises deep learning FCP financial sector prediction metaheuristics sailfish optimization

The processes of financialisation and economic performance

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Economic and Political Studies 2017年第1期5卷 5-20页

作者： Malcolm Sawyer Economics Division Leeds University Business SchoolUniversity of LeedsLeedsUK

The paper considers the relationships between financialisation and economic *** is a persistent feature of industrialised capitalism,the nature of which differs over time and *** 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 *** major features of the present era of financialisation are *** 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 *** paper is completed by some brief remarks on the possibilities of de-financialisation.

关键词： financialisation economic performance financial sector

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

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Journal of Business Administration Research 2020年第3期3卷 53-57页

作者： Nairong Shi 不详

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 *** recent years,the overall operation situation of China’s financial sector is ***,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 *** its application advantages,blockchain technology has solved many problems in the financial *** paper analyses and discusses the application of blockchain technology in the financial field from the perspective of“The Belt and Road Initiative”.

关键词： The Belt and Road Initiative Blockchain technology financial sector Application

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