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WINWIN8 · 2021年07月28日

请问题目中的40m,为什么就用40来算,而不是用40000000

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

如上:请问题目中的40m,为什么就用40来算,而不是40000000

1 个答案
已采纳答案

星星_品职助教 · 2021年07月29日

同学你好,

注意题干中的条件:“Offer size ($ millions) = Shares sold × Offer price”,也就是对于“Offer size”这个变量,代入的数字都直接对应着多少个“million”

所以对于“ offer size = $40 million”的处理就是直接代入40就可以了。

如果此时还是代入40million,那就相当于是40million这么多个“million”了。

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NO.PZ2015120204000013问题如下Baseon past research, Hansen selects the following inpennt variables to preIPO initireturns: Unrwriter rank = 1–10, where 10 is highest rankPre-offer priaustment (Expressea cimal) = (Offer pri– Initifiling price)/Initifiling priceOffer size ($ millions) = Shares sol× Offer priceFraction retaine(Expressea cimal) = Fraction of totcompany shares retaineinsirsHansen’s Regression Results pennt Variable: IPO InitiReturn (Expressein cimForm, i.e., 1% = 0.01)The upcoming IPO hthe following characteristics:l unrwriter rank = 6;l pre-offer priaustment = 0.04;l offer size = $40 million;l fraction retaine= 0.70.Baseon Hansen’s regression, the precteinitireturn for the upcoming IPO is closest to:A.0.0943.B.0.1064.C.0.1541.C is correct.The precteinitireturn (IR) is:IR = 0.0477 + (0.0150 × 6) + (0.435 × 0.04) – (0.0009 × 40) + (0.05 × 0.70) = 0.1541老师好!如题,a=1%对应检验的t值是2.58左右,为什么不用将每个变量系数的t值与它对比以判断每个自变量是否有效/显著?谢谢

2023-04-01 13:30 1 · 回答

NO.PZ2015120204000013 0.1064. 0.1541. C is correct. The precteinitireturn (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

2022-12-05 08:54 1 · 回答

NO.PZ2015120204000013 算法我理解为什么答案是0.1541啊,这个式子算出来不是0.1384吗

2021-05-07 22:57 1 · 回答

所以上面说的一堆公式其实没啥用?我看了半天???

2019-12-01 14:29 1 · 回答