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Class Notes for BEPP 305 at University of Pennsylvania (UPENN)

UPENNBEPP 305TobacmanSpring

BEPP 305 Lecture Notes - Lecture 2: Hot-Hand Fallacy, The Hockey News, Structural Break

OC5934282 Page
7 Mar 2017
0
Statistics allow us to infer probabilities based on past observations. Sample- a list of observations: age of students in a class, age people start sch
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UPENNBEPP 305TobacmanSpring

BEPP 305 Lecture Notes - Lecture 5: Risk Aversion, Relative Risk, Expected Utility Hypothesis

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7 Mar 2017
0
1/26/17 lecture 5 notes: how to measure risk aversion & where you might use this (optimal level of coverage?) I(cid:373)pa(cid:272)t of be(cid:396)(cid
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UPENNBEPP 305TobacmanSpring

BEPP 305 Lecture Notes - Lecture 3: Probability Distribution, Moving-Average Model, Cumulative Prospect Theory

OC5934283 Page
7 Mar 2017
0
Need a lot of data, (cid:271)ut (cid:449)e do(cid:374)"t al(cid:449)a(cid:455)s ha(cid:448)e e(cid:374)ough data. Must estimate the parameters of the d
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UPENNBEPP 305TobacmanSpring

BEPP 305 Lecture Notes - Lecture 1: Expected Shortfall, Sample Space, Expected Loss

OC5934282 Page
7 Mar 2017
0
Sample space {h, t: probability distribution { , , random variables , number of heads: h = 1. If h, then 1; if t, then 0: number of tails: h = 0. Sampl
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