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橙子樱桃 · 2022年12月05日

Offer size因子的t检验应该无法拒绝系数等于零,不是应该除去这个因子的影响吗?

NO.PZ2015120204000013

问题如下:

Based on past research, Hansen selects the following independent variables to predict IPO initial returns:

Underwriter rank = 1–10, where 10 is highest rank

Pre-offer price adjustment (Expressed as a decimal) = (Offer price – Initial filing price)/Initial filing price

Offer size ($ millions) = Shares sold × Offer price

Fraction retained (Expressed as a decimal) = Fraction of total company shares retained by insiders

Hansen’s Regression Results Dependent Variable: IPO Initial Return (Expressed in Decimal Form, i.e., 1% = 0.01)

The upcoming IPO has the following characteristics:

l underwriter rank = 6;

l pre-offer price adjustment = 0.04;

l offer size = $40 million;

l fraction retained = 0.70.

Based on Hansen’s regression, the predicted initial return for the upcoming IPO is closest to:

选项:

A.

0.0943.

B.

0.1064.

C.

0.1541.

解释:

C is correct.

The predicted initial return (IR) is:

IR = 0.0477 + (0.0150 × 6) + (0.435 × 0.04) – (0.0009 × 40) + (0.05 × 0.70) = 0.1541

同上,关于对t检验的考量,当题中出现这个条件
1 个答案

星星_品职助教 · 2022年12月05日

同学你好,

预测Y值时,需要根据给出的回归方程的原型进行预测,不能手动去除某个变量,即使它的系数无法拒绝等于0的原假设。

这是因为各个系数彼此之间是有关联的,可能某个系数单独检验不显著,但是对于方程的整体是有贡献的,所以不能人为的删除。

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