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A Brief Introduction to the Quantitative Models of Risk Management in China's Commercial Banks

机译:中国商业银行风险管理量化模型简介

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摘要

The global financial crisis caused by the U.S. real estate market has imposed great impacts on the U.S. commercial banks and has brought up good alerts to the governance to China's banking industry. The financial exposures faced by the commercial banks increases with the opening up of China's financial market. The essence of competition among the commercial banks in future is the competition of the quality of risk management. It is an acute problem waiting for resolution by China's commercial banks as how to prevent and control the birth of new financial risks, and alleviate the potential financial risks. It is the current status of the risk management of China's commercial banks that there are more qualitative than quantitative governance; more expost response than ex-ante prevention. Considering this, this article introduces two models that can be used to give the pre-warnings of the banks' risks quantitatively: the main factor analysis model and VAR model. The article demonstrates the mechanism of their quantitative evaluation, and gives an example to explain the applicability of the VAR model. This may offer valuable proposals to improve the governance of China's commercial banks.
机译:美国房地产市场引发的全球金融危机对美国商业银行造成了巨大影响,并为中国银行业的治理提出了良好的戒备。商业银行面临的金融风险随着中国金融市场的开放而增加。商业银行之间未来竞争的实质是风险管理质量的竞争。如何预防和控制新的金融风险的产生,减轻潜在的金融风险,是中国商业银行亟待解决的一个严峻问题。中国商业银行风险管理的现状是,定性比定量治理更为重要。事前预防比事前预防更为有效。考虑到这一点,本文介绍了可用于定量给出银行风险预警的两个模型:主因子分析模型和VAR模型。本文演示了其定量评估的机制,并举例说明了VAR模型的适用性。这可能会提供有价值的建议,以改善中国商业银行的治理。

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