The bleaching of indigo-carmine catalyzed by laccase was monitored on-line by UV/Vis spectroscopy. The resulted data were analyzed by evolving factor analysis (EFA) and multivariate curve resolution (MCR), and the re...The bleaching of indigo-carmine catalyzed by laccase was monitored on-line by UV/Vis spectroscopy. The resulted data were analyzed by evolving factor analysis (EFA) and multivariate curve resolution (MCR), and the reaction mechanism was proposed.展开更多
Affected by the Federal Reserve's interest rate hike and the downward pressure on the domestic economy,the phenomenon of default is still prominent.The credit risk of the listed companies has become a growing conc...Affected by the Federal Reserve's interest rate hike and the downward pressure on the domestic economy,the phenomenon of default is still prominent.The credit risk of the listed companies has become a growing concern of the community.In this paper we present a novel credit risk measurement method based on a dimensional reduation technique.The method first extracts the risk measure indexes from the basal financial data via dimensional reduation by using deep belief network(DBN),exploratory factor analysis(EFA)and confirmatory factor analysis(CFA)in turn.And then the credit risk is measured by a systemic structural equation model(SEM)and logistic distribution.To validate the proposed method,we employ the financial data of the listed companies from Q12019 to Q22022.The empirical results show its effectiveness on statistical evaluation,assessment on testing samples and credit risk forecasting.展开更多
基金The work was supported by the National Natural Science Foundation of China[Grant No.20075021]visiting grant of Reutlingen University of Applied Sciences in Germany.
文摘The bleaching of indigo-carmine catalyzed by laccase was monitored on-line by UV/Vis spectroscopy. The resulted data were analyzed by evolving factor analysis (EFA) and multivariate curve resolution (MCR), and the reaction mechanism was proposed.
基金Supported by the National Social Science Foundation of China(21CTJ005)the Anhui Provincial Natural Science Foundation(KJ2017A105)。
文摘Affected by the Federal Reserve's interest rate hike and the downward pressure on the domestic economy,the phenomenon of default is still prominent.The credit risk of the listed companies has become a growing concern of the community.In this paper we present a novel credit risk measurement method based on a dimensional reduation technique.The method first extracts the risk measure indexes from the basal financial data via dimensional reduation by using deep belief network(DBN),exploratory factor analysis(EFA)and confirmatory factor analysis(CFA)in turn.And then the credit risk is measured by a systemic structural equation model(SEM)and logistic distribution.To validate the proposed method,we employ the financial data of the listed companies from Q12019 to Q22022.The empirical results show its effectiveness on statistical evaluation,assessment on testing samples and credit risk forecasting.
