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小唐dadada · 2025年03月27日

关于credit score 的观点不正确

NO.PZ2018123101000107

问题如下:

Cromwell works with another analyst, George Hastings, to discuss credit scoring and credit rating models. Hastings starts the conversation by saying, “Credit scoring models are primarily applied to consumers or small business borrowers. In some cases, only negative information, such as delinquencies or defaults, are used, while other models use a mix of factors, such as payment history and recent credit searches.” The focus of credit scores is the probability of default. Hastings continues, “Credit ratings, on the other hand, are used in the corporate and sovereign bond market and also for asset-backed securities. Ratings are focused on probability of default. Credit rating agencies, such as Standard & Poor’s, consider the loss given default by means of notching, which adjusts the issue rating to reflect the priority of claims in the capital structure."

Are Hastings’s comments regarding credit scores and credit ratings most likely correct?

选项:

A.

Yes

B.

No, he is incorrect with regard to credit scores.

C.

No, he is incorrect with regard to credit ratings.

解释:

Hastings’s comments regarding both credit scores and credit ratings are correct.


强化班这里说credit score模型里面的FICO就包含了recent searches for credit and payment history

请问为什么我们还认为他的观点正确呢??

1 个答案

吴昊_品职助教 · 2025年03月27日

嗨,从没放弃的小努力你好:


Hastings 的观点被认为是正确的,主要是因为他对信用评分(credit scores)和信用评级(credit ratings)的总体描述是准确的,即:

信用评分(Credit Scores)

  • 主要应用于个人和小型企业(即零售信贷市场)。
  • 其模型使用多个因素,包括付款历史(payment history)和最近的信用查询(recent credit searches)。
  • 评分的核心关注点是违约概率(probability of default)。

信用评级(Credit Ratings)

  • 主要适用于公司债券、主权债务和资产支持证券(ABS)。
  • 评级关注的是违约概率以及债务结构中的优先级(priority of claims in the capital structure)。

为什么他的观点仍然被认为是正确的?

Hastings 的说法是:“一些信用评分模型只使用负面信息(如拖欠或违约),而其他模型使用多个因素,如付款历史和最近的信用查询。” 这并不意味着所有信用评分模型都只看负面信息,而是说明某些模型仅使用负面信息,而其他模型(比如FICO) 结合了更多变量。FICO确实使用recent searches for credit和payment history,但这并不与他的陈述矛盾。

他的表述强调了不同模型的差异性,而非FICO评分的具体计算方式,因此整体上仍被认为是正确的。

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就算太阳没有迎着我们而来,我们正在朝着它而去,加油!

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