Feature Selection with Optimal Variational Auto Encoder for Financial Crisis Prediction

Financial crisis prediction(FCP)received significant attention in the financial sector for decision-making.Proper forecasting of the number of firms possible to fail is important to determine the growth index and strength of a nation’s economy.Conventionally,numerous approaches have been developed in the design of accurate FCP processes.At the same time,classifier efficacy and predictive accuracy are inadequate for real-time applications.In addition,several established techniques carry out well to any of the specific datasets but are not adjustable to distinct datasets.Thus,there is a necessity for developing an effectual prediction technique for optimum classifier performance and adjustable to various datasets.This paper presents a novel multi-vs.optimization(MVO)based feature selection(FS)with an optimal variational auto encoder(OVAE)model for FCP.The proposed multi-vs.optimization based feature selection with optimal variational auto encoder(MVOFS-OVAE)model mainly aims to accomplish forecasting the financial crisis.For achieving this,the proposed MVOFS-OVAE model primarily pre-processes the financial data using min-max normalization.In addition,the MVOFS-OVAE model designs a feature subset selection process using the MVOFS approach.Followed by,the variational auto encoder(VAE)model is applied for the categorization of financial data into financial crisis or non-financial crisis.Finally,the differential evolution(DE)algorithm is utilized for the parameter tuning of the VAE model.A series of simulations on the benchmark dataset reported the betterment of the MVOFS-OVAE approach over the recent state of art approaches.

The aggregate and sectoral time‑varying market efficiency during crisis periods in Turkey:a comparative analysis with COVID‑19 outbreak and the global financial crisis

This study aims to examine the time-varying efficiency of the Turkish stock market’s major stock index and eight sectoral indices,including the industrial,financial,service,information technology,basic metals,tourism,real estate investment,and chemical petrol plastic,during the COVID-19 outbreak and the global financial crisis(GFC)within the framework of the adaptive market hypothesis.This study employs multifractal detrended fluctuation analysis to illustrate these sectors’multifractality and short-and long-term dependence.The results show that all sectoral returns have greater persis-tence during the COVID-19 outbreak than during the GFC.Second,the real estate and information technology industries had the lowest levels of efficiency during the GFC and the COVID-19 outbreak.Lastly,the fat-tailed distribution has a greater effect on multifractality in these industries.Our results validate the conclusions of the adaptive market hypothesis,according to which arbitrage opportunities vary over time,and contribute to policy formulation for future outbreak-induced economic crises.

Bird Swarm Algorithm with Fuzzy Min-Max Neural Network for Financial Crisis Prediction

Financial crisis prediction(FCP)models are used for predicting or forecasting the financial status of a company or financial firm.It is considered a challenging issue in the financial sector.Statistical and machine learning(ML)models can be employed for the design of accurate FCP models.Though numerous works have existed in the literature,it is needed to design effective FCP models adaptable to different datasets.This study designs a new bird swarm algorithm(BSA)with fuzzy min-max neural network(FMM-NN)model,named BSA-FMMNN for FCP.The major intention of the BSA-FMMNN model is to determine the financial status of a firm or company.The presented BSA-FMMNN model primarily undergoes minmax normalization to transform the data into uniformity range.Besides,k-medoid clustering approach is employed for the outlier removal process.Finally,the classification process is carried out using the FMMNN model,and the parameters involved in it are tuned by the use of BSA.The utilization of proficient parameter selection process using BSA demonstrate the novelty of the study.The experimental result analysis of the BSA-FMMNN model is validated using benchmark dataset and the comparative outcomes highlighted the supremacy of the BSA-FMMNN model over the recent approaches.

Chinese Trade Unions Strive to Protect Workers' Rights and Interests in Dealing with the Global Financial Crisis

Protecting the rights and interests of workers and staff members constitutes an important aspect of China＇s human rights protection. At the time when the country is dealing with impacts of the global financial crisis, the All-China Federation of Trade Unions has been working fruitfully and effectively to accelerate economic and social development and safeguard the legitimate rights and interests of workers, therefore making contributions to the protection of the rights and interests of Chinese workers. Now I would like to make a brief introduction on this subject.

Optimized Stacked Autoencoder for IoT Enabled Financial Crisis Prediction Model

Recently,Financial Technology(FinTech)has received more attention among financial sectors and researchers to derive effective solutions for any financial institution or firm.Financial crisis prediction(FCP)is an essential topic in business sector that finds it useful to identify the financial condition of a financial institution.At the same time,the development of the internet of things(IoT)has altered the mode of human interaction with the physical world.The IoT can be combined with the FCP model to examine the financial data from the users and perform decision making process.This paper presents a novel multi-objective squirrel search optimization algorithm with stacked autoencoder(MOSSA-SAE)model for FCP in IoT environment.The MOSSA-SAE model encompasses different subprocesses namely preprocessing,class imbalance handling,parameter tuning,and classification.Primarily,the MOSSA-SAE model allows the IoT devices such as smartphones,laptops,etc.,to collect the financial details of the users which are then transmitted to the cloud for further analysis.In addition,SMOTE technique is employed to handle class imbalance problems.The goal of MOSSA in SMOTE is to determine the oversampling rate and area of nearest neighbors of SMOTE.Besides,SAE model is utilized as a classification technique to determine the class label of the financial data.At the same time,the MOSSA is applied to appropriately select the‘weights’and‘bias’values of the SAE.An extensive experimental validation process is performed on the benchmark financial dataset and the results are examined under distinct aspects.The experimental values ensured the superior performance of the MOSSA-SAE model on the applied dataset.

Financial crisis early-warning model of listed companies based on predicted value

To establish a financial early-warning model with high accuracy of discrimination and achieve the aim of long-term prediction, principal component analysis (PCA), Fisher discriminant, together with grey forecasting models are used at the same time. 110 A-share companies listed on the Shanghai and Shenzhen stock exchange are selected as research samples. And 10 extractive factors with 89.746% of all the original information are determined by applying PCA, which obtains the goal of dimension reduction without information loss. Based on the index system, the early-warning model is constructed according to the Fisher rules. And then the GM(1,1) is adopted to predict financial ratios in 2004, according to 40 testing samples from 2000 to 2003. Finally, two different methods, a self-validated and a forecasting-validated, are used to test the validity of the financial crisis warning model. The empirical results show that the model has better predictability and feasibility, and GM(1,1) contributes to the ability to make long-term predictions.

China's Labor and Social Security Protection under the Globle Financial Crisis

Against the background of economic globalization, the economy of many countries has been inevitably affected by the globle financial crisis. But the impact varies. China, as one of the leading countries in globalization, the direct or indirect impact it suffered can be imagined. The Chinese government adopted a series of measures to deal with the financial crisis.

Forecast of steel cord demand after the financial crisis

To analyze the production and marketing of China automobile in Year 2009,and also the development of China automobile and steel cord in those 11 years.The single-element regression mathematics model was set up to analyze the steel cord demand and automobile production.It predicted that automobile production would up to 15 170 000,16 690 000 and 18 360 000 respectively from 2010 to 2012,with the confidence as of 95%,the steel cord consumption in those three years will be 1 180 000 - 1 370 000 t, 1 320 000 - 1 520 000 t and 1 470 000 - 1 680 000 t.As to the policy of China stimulation,The role of Chinese tire has converted from the export-oriented to domestic consumer smoothly,so the effect of US special protectionist tariffs is limited in China.

Handling the Global Financial Crisis:China's Policy Response and Its Assessment

Though a star economy during the past few decades,China has proven not to be crisis-proof and is suffering in the American-made global financial crisis.In response,the Chinese government has adjusted its macroeconomic policy swiftly and implemented a counter-cycle policy,including a proactive fiscal policy,a moderately easy monetary policy and an active international cooperation policy.The Chinese government's policy is a comprehensive one,effectively combining investment,domestic consumption and foreign trade,short-term and long-term needs,economic growth and social development,and self-development and international cooperation.The Chinese government's policy has produced generally good results so far and will be continued.

Lessons from International Financial Crisis

Since the advent of the 1990s, international financial crises broke one after an-other with ever greater frequency. They appear in a variety of forms and canbe traced to highly complicated factors. Yet measures could be taken to nip them inthe bud. In the west, stress has been focused on regulating the behavior of finan-

China's Auto Industry Under the Financial Crisis

The global financial tsunami has swept the automobile industry and put major auto markets in the world at stake.The Ameri- can market is now between the beetle and the block,with both General Motors and Chrysler on the verge of reshuffling.The European market has seen a plunge in both car production and sales in many countries.Several big auto companies in Japan have suffered a slump in car sales both at home and abroad.China's economy is inevitably affected,on a relatively

Summary of Symposium on the First Anniversary of the World Financial Crisis

When Lehman Brothers Holding Inc., the prominent investment bank, was allowed to go bankrupt without proper preparation on September 15, 2008, a global financial tsunami arose, dragging

Investigating the Financial Crisis in 2008 from the Perspective of Banking Systems

The financial crisis of 2008 precipitated by credit issues in the US housing market is probably one of the most profound financial events in recorded history.Its shockwaves have significantly affected almost every market centre as well as country in the world.The aim of this report is accordingly to investigate major reasons behind the crisis from a special angle of banking systems.In particular,problems hidden in regulations,mechanisms and systems in the wake of the financial crisis are focused specifically in this report.

Uygur Expert: Riot Impact Overshadows Financial Crisis

The Urumqi riot has damaged the local economy and social development more than the global financial crisis has, said Abudu Rezhake Tomur, Secretary of the Communist Party of China in the Xinjiang Social Science Academy.

Luckin Coffee:A Study of the Reasons for Committing Financial Fraud and Solutions for Getting Out of a Financial Crisis

Luckin Coffee grew rapidly in the past few years and it was the fastest Chinese Concept company go public in NASDAQ.However,its stock price plunged in 2020 due to financial fraud.It is crucial for Luckin Coffee to think about how to recover from the financial fraud and become a business representative of the“new retail”under the Internet model again.To recover from the financial crisis caused and gain profit,Luckin could improve its existing business model by improving product development,strengthening capital management in both marketing and expansion.The internal structure can also be adjusted by diversifying equity and replacing the manager team.Taking Luckin Coffee as an example,this paper analyzes the causes of financial fraud,propose solutions to recover from it,and evaluate the effectiveness of solutions in the context of reality.

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.

The Impact of Global Financial Crisis on China Chemical Fiber Industry and Response Strategies (Part Ⅱ)

Prospects of Global Financial Crisis and Economic Crisis The widely spreading global financial crisis has halted the fast growth of world economy in five consecutive years,and heavily stricken the financial and economic sectors worldwide.It’s second only to the "Great Depression" in the 1930’s.Governments

Financial Crisis:Its Impacts on International Economic System and Geopolitics

Global financial crisis is ongoing. The crisis has not only impacted the mode of the world economy that further called for reform of international economic system, but also exerted far-reaching impact on the transformation of the international political system and geopolitics. China, undergoing a critical period of reform anddevelopment, is obliged to probe the essence of the crisis and its prospective impacts, to discern the direction of the transforming international political system and geopolitics, and to take pertinent measures that will help enhance China’s status in the future international system and to realize China peaceful rise.