开发者:上海品职教育科技有限公司 隐私政策详情

应用版本:4.2.11(IOS)|3.2.5(安卓)APP下载

alina319 · 2022年05月04日

为什么确认是双尾呢?

NO.PZ2015120204000014

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 collects a sample of 1,725 recent IPOs for his regression model.

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




The 95 percent confidence interval for the regression coefficient for the pre-offer price adjustment is closest to:

选项:

A.

0.156 to 0.714.

B.

0.395 to 0.475.

C.

0.402 to 0.468.

解释:

B is correct.

The 95% confidence interval is 0.435 ± (0.0202 × 1.96) = (0.395, 0.475).

是因为默认用的是F检验吗?所以用的是正态分布的关键值 为什么不用题目表三里给的1.645?

2 个答案
已采纳答案

星星_品职助教 · 2022年05月04日

同学你好,

数量科目中,confidence interval都是双尾情况。

所以本题的5%是双尾面积之和,右尾即为2.5%,对应Exhibit 3中的1.960。

本题不涉及假设检验,也没有F检验。使用的是t分布,关键值直接根据表格来取就可以。

alina319 · 2022年05月04日

谢谢老师,节日快乐!

星星_品职助教 · 2022年05月05日

@alina319

节日快乐,学习加油~

  • 2

    回答
  • 0

    关注
  • 320

    浏览
相关问题

NO.PZ2015120204000014 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 collects a sample of 1,725 recent IPOs for his regression mol.\Hansen’s Regression Results pennt Variable: IPO InitiReturn (Expressein cimForm, i.e., 1% = 0.01)The 95 percent confinintervfor the regression coefficient for the pre-offer priaustment is closest to: A.0.156 to 0.714. B.0.395 to 0.475. C.0.402 to 0.468. B is correct.The 95% confinintervis 0.435 ± (0.0202 × 1.96) = (0.395, 0.475). 第一个表格中的t统计量是做什么用的,和第二个表中t value 的区别

2024-11-01 15:45 1 · 回答

NO.PZ2015120204000014 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 collects a sample of 1,725 recent IPOs for his regression mol.\Hansen’s Regression Results pennt Variable: IPO InitiReturn (Expressein cimForm, i.e., 1% = 0.01)The 95 percent confinintervfor the regression coefficient for the pre-offer priaustment is closest to: A.0.156 to 0.714. B.0.395 to 0.475. C.0.402 to 0.468. B is correct.The 95% confinintervis 0.435 ± (0.0202 × 1.96) = (0.395, 0.475). 计算中不用考虑n=1700多这个信息吗

2023-08-29 19:33 2 · 回答

NO.PZ2015120204000014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 collects a sample of 1,725 recent IPOs for his regression mol.\Hansen’s Regression Results pennt Variable: IPO InitiReturn (Expressein cimForm, i.e., 1% = 0.01)The 95 percent confinintervfor the regression coefficient for the pre-offer priaustment is closest to: A.0.156 to 0.714.B.0.395 to 0.475.C.0.402 to 0.468.B is correct.The 95% confinintervis 0.435 ± (0.0202 × 1.96) = (0.395, 0.475).为什么是双尾?题目里没看到提示双尾的词语

2023-04-12 00:26 1 · 回答

NO.PZ2015120204000014 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 collects a sample of 1,725 recent IPOs for his regression mol.\Hansen’s Regression Results pennt Variable: IPO InitiReturn (Expressein cimForm, i.e., 1% = 0.01)The 95 percent confinintervfor the regression coefficient for the pre-offer priaustment is closest to: A.0.156 to 0.714. B.0.395 to 0.475. C.0.402 to 0.468. B is correct.The 95% confinintervis 0.435 ± (0.0202 × 1.96) = (0.395, 0.475). coefficient不应该是这些吗,为啥用coefficient来当作x(mean)

2023-01-17 10:51 1 · 回答

NO.PZ2015120204000014 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 collects a sample of 1,725 recent IPOs for his regression mol.\Hansen’s Regression Results pennt Variable: IPO InitiReturn (Expressein cimForm, i.e., 1% = 0.01)The 95 percent confinintervfor the regression coefficient for the pre-offer priaustment is closest to: A.0.156 to 0.714. B.0.395 to 0.475. C.0.402 to 0.468. B is correct.The 95% confinintervis 0.435 ± (0.0202 × 1.96) = (0.395, 0.475). 这个考点是不是在新考纲里已经删掉了?我看视频没讲

2023-01-08 17:27 1 · 回答