Question 1:The following data are available about the returns of two stocks andmarket portfolio:Economic State ProbabilityStock A (%)Stock B (%)Market portfolio (%)Deep Recession0.05-3-2-13Mild Recession0.20691Average0.50111215Mild Boom0.20141529Strong Boom0.05192643Table 1You are required to:a) Compute the expected return for stocks A and Bb) Compute the standard deviation for stocks A and B. Which stockis riskier?c) Compute the expected return of a portfolio that comprises of 70%stock A and 30% stock Bd) Compute the standard deviation of returns for the marketportfolioe) Which, among stocks A, B and the market is riskier? Respond inlight of your computations

Answered: Image /qna-images/answer/799a496b-ebd6-4edd-97cc-65503667f8de.jpg

Answered: Question 1: The following data are…

Understanding Business

12th Edition

ISBN:9781259929434

Author:William Nickels

Publisher:William Nickels

Chapter1: Taking Risks And Making Profits Within The Dynamic Business Environment

Section: Chapter Questions

Problem 1CE

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Sales of industrial vacuum cleaners at Yarena Supply CO. over the past 13 months are as follows: Sales in P1,000 Month Sales in P1,000 Month 11 January 14 August 14 February 17 September 15 March 12 October 10 April 14 November 15 May 16 December 17 June 11 January 11 July Required suing a moving average with three periods, determine the demand for vacuum cleaners for next February?
QUESTION 4 Suppose the following are the seasonal indices for the first three quarters of the year for a quarterly series: Quarter Seasonal Index Q1 72.4 Q2 85.3 Q3 109.6 Remember that the seasonal indices should average 100 so you should be able to infer the seasonal index for Q4. Furthermore, suppose that the estimated coeffcients from a regression of the deseasonalized series on Time are given below: Coefficients Intercept 2,506 Time 71.3 If the original value of the series in a Q1 was 2,040, then what is the seasonally adjusted value? (please round your answer to 1 decimal place)
Answer number 3 only. Full solution. Unique answers only.
Question 1 Q1) The monthly sales of a retailer company were as follow: Month -Sales February-- March- 1000 1800 April- -2100 May- -1000 June- July-- 2048 2600 August As a planner, you are required to calculate the Demand Forecast for August using the Naive approach Add your answer
Q2: An economist who estimated the Keynesian money demand function in logarithmic form using data from Sri Lankan economy, obtained the graph on the left by using predicted and actual money demand. While the model was very successful in predicting money demand until 2010 (small forecast errors), it predicts a consistently higher money demand than actually occurred since then (growing forecast errors each period). 48 Ln(M) 4.75 4.7 4.65 4.6 4.55 Actual 4.5 Predicted ...... 4.45 Help this economist who has trouble explaining this situation, even if you do not know anything about the economy in question. Can you answer this question with details please? 6toz Stor
3
QUESTION TWOGM Motors of Lusaka produces electronic motors for power actuated values for block makers in Lusaka. The GM Motors has been in operational for a year now and Mr. Banda, the plant manager, thinks that the growth in sales will continue for the years to come. Mr. Banda wants to develop a long range forecast to be used to plan facility requirements for the next three years. The sales records for the past ten years have been accumulated; Years Annual Sale (K’000)2007 10002008 13002009 18002010 20002011 20002012 20002013 22002014 26002015 29002016 3200 Required:a) Develop a regression equation for predicting the sales for the electronic motors. b) Use the regression equation to predict the sales for the next three year. c) Find the relationship between the sales and the years. Explain what your finding means. 2. A firm uses simple exponential smoothing with a=0.1…
Part C Exponential Exponential Gasoline Demand Gasoline Month smoothed forecast smoothed forecast Exponential smoothed forecast (a = 0.25) Demand (a = 0.25) (a = 0.45) Exponential smoothed forecast (a = 0.45) Mar 900 920 920 1200 Apr May 755 915.00 911.00 1100 1000 650 875.00 840.80 g20 915.00 846 80 755 818.75 754.94 904.76 835.12 Jun 550 818.75 754.94 800 320 751.56 66272 645.74 746.83 Jul 625 751.56 662.72 650 600 550 Aug Sep 730 719.92 645.74 820 722.44 683.66 400 D Oct 1100 746.83 745.01 200 1 Nov 835.12 904.76 Mar Apr May Jun Jul Aug Sep Oct Nov 1. Make a comparative analysis out of your answers in the plotted data. (3-5 5 sentences)
Based on these tables, Can you calculate the Profit and Revenue and explain how you got these calculations. Also please explain how these tables are important when finding profit and revenue.
Assuming the following deseasonalized demand, what would your Level and Trend FORECAST factors be for future deseasonalized demand estimates? (Hint, you might want to use excel for this) period 1 2 3 4 5 6 7 8 9 10 13673 6640 2737 3486 141 13186) 5448 3485 7728 16591 8236 3316 855358 11 12 13 15 16 17 18 19 Demand Deseasonalized D₁ Demand D 3200 7658 4420 2384 3654 8680 5795 1953 4742 20 4472 4657 4956 5074 5157 5917 6646 6850 6791 6573 6363 6308 6932 7887 8662 8989 O Level-4696 Trend-343 O Level-3612. Trend-264 O Level 3629; Trend-263 O Level-2528: Trend-185
please answer in 30 mins. answer if 100% sure.

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