Nowadays, to enter the stock market, company selection (fundamental analysis) and evaluation based on stock price (technical analysis) are significant parts of the preparation for a rational investor. Since there are multiple ways to do the stock analysis and stochastic elements in stock...

Basel II proposes a new method on measuring credit risk - the internal ratings based approach (IRA). Loan pricing considering possibility of default under IRA is studied. The difference of loan pricing and the influence it sets on competitive strength of different scale banks are analyzed and...

Developing unsupervised anomaly detection methods for hyperspectral data is of great importance for its applications in quality and safety control. As a frequently-used anomaly detection method, autoencoder (AE) might suffer from the ineffectiveness of extracting essential representations for...

Natural gas hydrate (NGH) technology holds great promise in natural gas storage and transportation. Utilization of promotor can effectively improve NGH formation kinetics. In this work, we constructed -SO3--rich hydrogel clathrate (poly(styrenesulfonate-co-acrylamide), (PSS-co-AAm)) as promoter...

Labor market dynamics offer a key avenue for mergers and acquisitions and their associated synergy gains. We examine the impact of social connections between the directors and senior managers of merging firms and financial advisors on various M&A outcomes. We find that the social connectedness...

The ability of blockchain technology to record transactions on distributed ledgers offers new opportunities for governments to improve transparency, prevent fraud, and establish trust in the public sector. However, blockchain adoption and use in the context of e-Government is rather unexplored...

Occupational accidents are a serious threat to any organization. Occupational accidents in steel industry sector remain a threat as workforce is exposed to different kinds of hazards due to the workplace characteristics. In this study, a unique method is proposed by developing a text mining...

Stock market time series are inherently noisy. Although support vector machine has the noise-tolerant property, the noised data still affect the accuracy of classification. Compared with other studies only classify the movements of stock market into up-trend and down-trend which does not concern...