The quality control of ocean observation data is conducted by monthly review,yet no on-line quality control system is deployed.An on-line quality control system is provided by this article.The threshold of extreme and...The quality control of ocean observation data is conducted by monthly review,yet no on-line quality control system is deployed.An on-line quality control system is provided by this article.The threshold of extreme and rate of change is created by analyzing the character of observation items.The alert will be triggered to remind the operator if the system detects data out of threshold.therefore the on-line data quality control is accomplished.展开更多
In recent years,many enterprises have been unable to repay debts on schedule due to liquidity constraints,leading to prominent debt risks in financial institutions.To mitigate such risks,this study takes CDL Securitie...In recent years,many enterprises have been unable to repay debts on schedule due to liquidity constraints,leading to prominent debt risks in financial institutions.To mitigate such risks,this study takes CDL Securities as a case example.Empirical analysis is conducted on the interest rate spreads and returns of CDL’s investments in all A-share listed companies in China from 2015 to 2019(based on 2011–2018 stock indices).Based on the findings,specific strategies are proposed,including:improving the debt risk management system,optimizing debt financing structures and capital allocation,and strengthening internal governance and external controls.展开更多
基金sponsored by the project of North Bureau of SOA 2017(Development and application of online quality control system for automatic observation data of Ocean Station No.2017B12)。
文摘The quality control of ocean observation data is conducted by monthly review,yet no on-line quality control system is deployed.An on-line quality control system is provided by this article.The threshold of extreme and rate of change is created by analyzing the character of observation items.The alert will be triggered to remind the operator if the system detects data out of threshold.therefore the on-line data quality control is accomplished.
文摘In recent years,many enterprises have been unable to repay debts on schedule due to liquidity constraints,leading to prominent debt risks in financial institutions.To mitigate such risks,this study takes CDL Securities as a case example.Empirical analysis is conducted on the interest rate spreads and returns of CDL’s investments in all A-share listed companies in China from 2015 to 2019(based on 2011–2018 stock indices).Based on the findings,specific strategies are proposed,including:improving the debt risk management system,optimizing debt financing structures and capital allocation,and strengthening internal governance and external controls.
