Global Financial Crisis and Accounting Rules： The Implications of the New Exposure Draft （ED） Financial Instruments： Expected Credit Losses on the Evaluation of Banking Company Loans

During the financial crisis, the delayed recognition of credit losses on loans and other financial instruments was identified as a weakness in existing incurred loss model of impairment stated by International Accounting Standards （IAS） 39, because it is believed that this delay might generate pro-cyclical effects. In response to the recommendations of G20, Financial Crisis Advisory Group （FCAG）, and other international bodies, the International Accounting Standards Board （IASB） has undertaken, since 2009, as a part of the project to replace IAS 39, a project （partially shared with Financial Accounting Standards Board （FASB）） aimed at introducing an expected loss model of impairment. Within the scope of this subset project, the IASB has previously issued two exposure documents proposing models to account for expected credit losses： an exposure draft （ED） Financial Instrument： Amortized Cost and Impairment, published in November 2009, and a supplementary document （SD） Financial Instrument： Impairment, published jointly with the FASB in January 2011. However, neither of the two proposals received strong support from interested parties. Recently, the IASB, after the FASB＇s decision to withdraw from the joint project and to develop a separate expected credit loss model based on a single measurement approach consisting in the sole recognition of lifetime expected credit losses, published a third proposal--Ahe so-called expected credit losses model （ED/2013/3 Financial Instruments： Expected Credit Losses）.

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.

The Effect of the 2007/2008 Financial Crisis on Enterprise Risk Management Disclosure of Top US Banks

We document the effect of the 2007/2008 financial crisis on the volume and the quality of enterprise risk management （ERM） disclosure in the annual reports of the largest US banks, and analyze its determinants. Using a content analysis approach of the annual reports form 10-K for the years 2006, 2007, 2008, and 2009, we find that the ERM disclosure is significantly and positively associated with the crisis, bank size, board independence, duality and significantly and negatively associated with profitability, leverage, and board size. This paper seeks to fill a gap in the literature by investigating the effect of the crisis on ERM disclosure in the US banking sector context, and gives an insight into the factors affecting risk disclosure practices during the financial crisis.

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.

Financial crisis and sustainable development of Chinese manufacturing industry

Sub-prime lending crisis has become an international fi nancial crisis, which is evolving into an economic recession sweeping across the West. Financial crisis leads to the demand reduction in western countries, and as the largest manufacturing country, China must face overproduction. The role of China as "world factory" determines that fi nancial crisis will severely attack Chinese manufacturing industry. The unsustainable development of Chinese manufacturing industry is mainly reflected in the following aspects: heavy dependence on export, low-level manufacturing link, lack of modern service industry and high-tech industry, weak independent innovative ability, unsustainable exploration of heavy-pollution resources, and lack of international famous brands. How to transform crisis to opportunities is an urgent research topic. Under the circumstance of financial crisis, Chinese manufacturing industry has more external drives to change the current situation. Therefore, financial crisis becomes not only an opportunity for Chinese manufacturing industry to improve itself based on the existing accumulation but also a chance for China to transform from "world factory" into a powerful nation of manufacturing industry in the world.

Predicting Corporate Failure and Global Financial Crisis： Theory and Implications

The purpose of this paper is to discuss corporate failure issues in the context of the global financial crisis. After considering some key issues, the paper shows how relevant these issues are relevant in the present financial fiasco. It is clear that corporate failure brings untold hardships to all stakeholders. Again the problem of predicting corporate failure in the midst of the financial contagion could be overcome with sound risk management structure in place. The discussion mainly focuses on corporate failure within the context of the global financial distress. To the best of our knowledge this study is the first of its kind, which provides conceptual insights on predicting corporate failure and the global financial distress.

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.

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.

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-

Changes of the Level of Liquidity in Time of the Financial Crisis： A Case of Polish Companies

The financial crisis undoubtedly exerted a pressure on the companies operating in Poland. Thus, it is important to undertake researches that reveal the paths and strength of the transmission of financial crisis with regard to the business entities. This paper presents partial results of the researches dedicated to the analysis of the impact of financial crisis on the financial situation of companies operating in Silesian Region in Poland. It analyses and discusses the general changes in the financial ratios that inform about the company＇s financial liquidity and the level of liquidity risk. As a research paper, it aims at justifying hypotheses about the changes of liquidity and liquidity risk in companies operating in Poland, Silesian Region within the period of 2006-2009. The tested hypotheses generally indicate the decrease of liquidity in the aftermath of crisis and a worse situation in the Silesian Region, as compared to the national level. The study is based on an application of a part of authors＇ self-developed method--the CFS Watch （Corporate Financial Situation Watch）, which consists of five analytical modules. In this study, one module is applied： the FLA Module （Financial Liquidity Analysis） with regard to financial liquidity and the level of liquidity risk. The research is based on the data collected by the Polish Central Statistical Office. The analysis of FLA Module is based on two samples of companies： companies operating in the Silesian Region （denoted as the MEPP sample）, and companies operating in Poland （denoted as the MAPP sample）. This allows developing a comparative analysis between regional and national dimension. The results of the study represent an interesting starting point for further comparative researches based on the analysis of the changes in the level of liquidity and liquidity risk of companies operating in different countries. It may form a base for finding similarities or differences in their financial situation in the aftermath of the financial crisis. The CFS Watch method in terms of the liquidity can be widely applied to make the results comparable.

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

The defects of fair value under global financial crisis

With the advent of the economic crisis, fair value once again becomes a hot topic. This paper discusses the issues of fair value from three aspects including the meaning of fair value, its serious impacts and its inapplicability in China. As for this point, this paper stress that the rub of the fair value is its inaccurate recognition elements which will inevitably lead to the inaccurate measurement. Finally, the paper puts forward the viewpoint that China should be careful enough to apply the fair value accounting.

Chaebol Firms＇ Real and Accrual-Based Earnings Management in the Pre-and Post-Asian Financial Crisis Periods

This paper examines chaebol （Korean business group） firms＇ earnings management methods in pre-and post-financial crisis periods in Korea. The financial crisis resulted in chaebol firms increasing their reliance on the external capital markets as chaebol firms achieved internal financing through arbitrary transactions among their affiliated and contracted firms. This produced a higher demand for financial reporting transparency in chaebol firms and strengthened monitoring from investors. These changes in the business environment in Korea following the financial crisis are likely to have led chaebol firms to reduce earnings management by using managers＇ discretion in accounting accruals and to seek alternative means to manage earnings through abnormal operating decisions which are referred to as real activities manipulation. The authors find that chaebol firms have significantly decreased accrual-based earnings management after the financial crisis of Asian compared to non-chaebol firms. The authors also find that chaebol firms have become more inclined to engage in real earnings management after the financial crisis. The results suggest that chaebol firms have shifted their earnings management methods from accruals manipulation to real activities manipulation which is harder to be detected by external auditors and regulators. This study provides insight into the changes in chaebol firms＇ earnings management methods triggered by economic shock. The findings suggest that the shift in chaebol firms＇ financing sources from internal to external capital markets and the increased demand for transparent financial information in the post-financial crisis period are likely to have influenced chaebol firms to substitute real earnings management for accrual-based earnings management after the financial crisis.

The Impact of Foreign Bank Strategies on the Behavior and Performance of Czech and Slovak Banks in the Financial Crisis

In this paper, the authors analyze the impact of the specific ownership structure of the banking sector in Czech and Slovakia on the performance and applied strategies of particular banks during times of crisis. Did the multinational banks pursue a coherent regional strategy to cope with the risks resulting from the crisis, or did they focus on finding local solutions？ The aim of this paper is to find answers to these questions. A case study is going to be used as a basic research method. Two members （Slovak and Czech） of four multinational banking groups are examined in the crisis year 2009, whereby both a qualitative analysis of the annual reports regarding strategic business or risk management decisions and a comparative quantitative analysis of selected financial data and risk indicators are employed. The authors have found that Czech and Slovak banks generally tried to follow the main strategic directions given by their parent banks during the financial crisis. However, particular financial results and risk profiles of respective subsidiaries of multinational banks still differ because of market factors specific to the different countries in which the subsidiaries are located.