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hyi725 · 2022年03月24日

stable data不是一种解决办法么?

NO.PZ2021101401000006

问题如下:

Emily Yuen is a senior analyst for a consulting firm that specializes in assessing equity strategies using backtesting and simulation techniques. She is working with an assistant, Cameron Ruckey, to develop multifactor portfolio strategies based on nine factors common to the growth style of investing. To do so, Yuen and Ruckey plan to construct nine separate factor portfolios and then use them to create factor-weighted allocation portfolios.

Yuen tasks Ruckey with specifying the investment universe and determining the availability of appropriate reporting data in vendor databases. Ruckey selects a vendor database that does not provide point-in-time data, so he adjusts the database to include point-in-time constituent stocks and a reporting lag of four months.

Following Ruckey’s adjustments to the initial vendor database, backtested returns will most likely be subject to:

选项:

A.

stale data

B.

data snooping

C.

p-hacking

解释:

A is correct. A reporting lag of four months is likely to introduce stale data into the backtest because many large-capitalization companies report earnings within 30–50 days of quarter end. Although assuming four months (120 days) of reporting lag will eliminate a source of look-ahead bias, it introduces a new problem (i.e., stale data).

B and C are incorrect. Data snooping and p-hacking refer to the same problem: a flawed approach to using data to make decisions. Data snooping and p-hacking are not characteristics of data, nor can they be added to a dataset by making an adjustment.

如题

2 个答案

品职助教_七七 · 2024年02月27日

嗨,努力学习的PZer你好:


@Cindy 两者意思相同,正是因为缺乏数据,所以才不得不使用陈旧的数据。

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虽然现在很辛苦,但努力过的感觉真的很好,加油!

星星_品职助教 · 2022年03月25日

同学你好,

A选项为stale data(缺乏数据),并非stable data(稳定的数据)。

题干中的does not provide point-in-time data和 lag of four months都是描述stale data即数据存在的问题的。

Cindy · 2024年02月24日

stale data不是指陈旧数据吗

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