MeanStandardDeviationBuy-SideAnalysts0.851.93Sell-Side Analysts-0.050.85 4.102 BUY-SIDE VS. SELL-SIDE ANALYSTS' EARNINGSFORECASTS. Financial analysts who make forecasts of stockprices are categorized as either "buy-side" analysts or "sell-side"analysts. Refer to the Financial Analysts Journal (July/August2008) comparison of earnings forecasts of buy-side and sell-sideanalysts, Exercise 2.86 (p. 87). The mean and standarddeviation of forecast errors for both types of analysts arereproduced in the table. Assume that the distribution of forecasterrors are approximately normally distributed.a. Find the probability that a buy-side analyst has aforecast error of +2.00 or higher.b. Find the probability that a sell-side analyst has a forecasterror of +2.00 or higher.

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Answered: 4.102 BUY-SIDE VS. SELL-SIDE ANALYSTS'…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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a) Researchers studying the returns on mutual funds for 2012 found that they were normally distributed with a mean of 15% and a standard deviation of 10%. What percentage of mutual funds had a gain (i.e. a return greater than 0)? = 93.32% Then, b) What percent of funds had returns less than 10%? a. 30.85%b. 61.70%c. 69.15%d. None of the above
The following scores represent the final examination grades for an elementary statistics course (treated as population): 23 60 79 32 57 74 52 70 82 36 80 77 81 95 41 65 92 85 55 76 52 10 64 75 78 25 80 98 81 67 41 71 83 54 64 72 88 62 74 43 60 78 89 76 84 48 84 90 15 79 34 67 17 82 69 74 63 80 85 61 (a) Construct a stem-and-leaf display representing the given data set. Use the tens digits for the stem. (b) Construct a frequency distribution table for the given data set. Use class size of 10 and start from 10 (i.e. 10-19, 20-29 etc.). (c) Determine the following summary measures considering the provided frequency distribution from (b):
5
Assume the average selling price for houses in a certain county is $308,000 with a standard deviation of $57, 000. Using Chebychev's Theorem, determine the range of prices that includes at least 91% of the homes around the mean.
8. (Topic 8) Suppose the average height of a two year old male is normally distributed with a mean of 34.2 inches and a standard deviation of 2.9 inches. Use this information to answer each part below. (a) What is the z-score associated with a two year old male that is 38 inches tall? Would this child be considered unusually tall for his age? (b) What is the z-score associated with a two year old male that is 28 inches tall? Would this child be considered unusually short for his age?
The fitted line that results from regressions of the Single Index Model is called:a. The security specific line.b. The security characteristic line.c. The single index line.d. The security market line.
part b please
An analyst tested a forecasting model and identified the following performance metrics. What do the results tell you about the errors in the forecasting model? Be as descriptive as possible, given the results.
A team of ten (10) construction workers who are working on a project are classified according to the skill levels, Classes A to D. The table below shows the number of workers in each of the four (4) classes and their respective hourly pay-rate. Pay-rate (Rands/hour) Number of workers Class A 80 Class B 60 Class C 55 Class D 50 4. Calculate the mean hourly pay-rate for the 10 workers. A. R24.50/hour B. R57/hour C. R57.50/hour D. R61.75/hour
(b) Calculate the mean, median mode and standard deviation for the following data: 4600- 4800 75 4800- 5000 5000- 5200 5200- 5400 50 4000- 4400- Class size 4200 22 4200- 4400 38 4600 Freque 65 80 70
2. What does it mean for a scatter plot to have a negative trend? O A. Higher c-values tend to go with higher y-values. OB. Higher -values tend to go with lower y-values. OC. The x- and y-values appear to be unrelated. OD. None of these are true.
An analyst found that the average amount of money in bank accounts at his/her bank is $2,000 with a standard deviation of $150. What would be the variance?

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