Boran Stockbrokers, Inc., selects four stocks for the purpose of developing its own index of stock market behavior. Prices per share for a year 1 base period, January year 3, and March year 3 follow. Base-year quantities are set on the basis of historical volumes for the four stocks. Price per Share ($) Year 1 Quantity Year 1 Base Stock Industry January Year 3 March Year 3 A Oil 100 29.50 24.75 22.50 B Computer 150 65.00 49.00 47.50 Steel 75 40.00 31.00 29.50 D Real Estate 50 18.00 6.50 3.75 Compute the price relatives for the four stocks making up the Boran index. (Round your answers to one decimal place.) Price Relative Stock January March A 2475.0 2250.0 B 7350.0 7125.0 2325.0 22125 325 0 187.5 D Use the weighted average of price relatives to compute the January year 3 and March year 3 Boran indexes. (Round your answers to one decimal place.) I'an - 75.2 IMar 70.9

Boran Stockbrokers, Inc., selects four stocks for the purpose of developing its own index of stock market behavior. Prices per share for a year 1 base period, January year 3, and March year 3 follow. Base-year quantities are set on the basis of historical volumes for the four stocks. Price per Share ($) Year 1 Quantity Year 1 Base Stock Industry January Year 3 March Year 3 A Oil 100 29.50 24.75 22.50 B Computer 150 65.00 49.00 47.50 Steel 75 40.00 31.00 29.50 D Real Estate 50 18.00 6.50 3.75 Compute the price relatives for the four stocks making up the Boran index. (Round your answers to one decimal place.) Price Relative Stock January March A 2475.0 2250.0 B 7350.0 7125.0 2325.0 22125 325 0 187.5 D Use the weighted average of price relatives to compute the January year 3 and March year 3 Boran indexes. (Round your answers to one decimal place.) I'an - 75.2 IMar 70.9

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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Describe and explain the changes shown by the table between the two years for the following age groups: 1-5 years, 11-20 years, 21-50 years, and 61-90 years Answer: 2019 Female 2019 Male 2021 Female 2021 Male 1 to 5 years old 4.1% 4.5% 4.0% 4.4% 11 to 20 years old 8.7% 9.8% 8.6% 9.5% 21 to 50 years old 21.5% 23.6% 21.7% 23.8% 61 to 90 years old 4.9% 4.8% 5.2% 5%
South Shore Construction builds permanent docks and seawalls along the southern shore of Long Island, New York. Although the firm has been in business only five years, revenue has incand from £212,000 first year of operation to $1,079,000 in the most recent year. The following data show the quarterly sales revenue in thousands of dollars. Quarter 1 2 Year 1 20 102 174 Year 2 28 129 254 37 Year 3 B1 165 329 AY Year 4 102 203 383 77 Year 159 284 448 179
Calculate the cost of Living Index Number using both the Aggregate Expenditure Method and Family Budget Method from the following information: Unit consumption in base year Price Price Commodity In base year in current year Wheat 200 20 24 Rice 50 30 35 Pulses 50 40 45 Ghee 20 200 300 Sugar 40 25 30 Oil 50 100 120 Fuel 60 50 62.5 Clothing 40 500 600
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Table 1 displays data for money aggregates released by the Central Bank, Country A for the years 2019 - 2021. TABLE 1 2020 (Jan) $ Million 2021 (Jan) 2019 (Jan) $ Million Items $ Million Repurchase agreements Currency in circulation Demand deposits Fixed deposits with commercial banks, Islamic banks and central bank 50.8 105,091.5 344,140.6 0.0 53.5 101,254.1 326.976.9 1,130,449.7 123,007.5 412,203.8 1,158,924.1 1,120,366.7 Foreign currency deposits with commercial banks, Islamic banks and central bank Deposits placed with other banking institutions 145,887.1 155,502.5 159,817.5 9,698.1 10,556.70 2,558.7 Saving deposits with commercial banks Negotiable instruments of deposits 162,067.8 172,797.0 218,820.0 12,375.3 14,366.6 8,824.5 a) Based on the data in Table 1, answer the following questions: i) What is the value of quasi money in 2020? ii) Calculate the values of M2 for 2021
1. Use Bartman Industries and Reynolds Incorporated's stock prices and dividends, along with the Market Index, shown below for the period 1997-2002 to answer the following questions Data as given in the problem are shown below: Bartman Industries Year 2002 2001 2000 1999 1998 1997 Stock Price $17.250 14.750 16.500 10.750 11375 7.625 Dividend $1.150 1.060 1.000 0.950 0.900 0.850 Reynolds Incorporated Stock Price $48.750 52.300 48.750 57.250 60.000 55.750 Dividend $3.000 2.900 2.750 2.500 2.250 2.000 Market Index Includes Divs. 11,663.98 8,785.70 8,679.98 6,434.03 5,602.28 4,705.97 a. Use the data given to calculate annual returns for Batman. Reynolds, and the Market Index, and then calculate average returns over the 5-year period. (Hint: Remember, returns are calculated by subtracting the beginning price from the ending price to get the capital gain or loss, adding the dividend to the capital gain or loss, and dividing the result by the beginning price. Assume that dividends are already…
The following is historical sales data ABC Clothing Inc: Month Sales (units) 5-Month Moving Avg. Jan-19 Feb-19 Mar-19 Apr-19 May-19 Jun-19 Jul-19 Aug-19 Sep - 19 Oct-19 Nov - 19 Dec-19 Jan-20 Feb-20 Mar-20 Apr-20 May-20 10 15 20 20 25 20 20 25 30 35 40 50 70 85 100 125 P a) Complete the chart by calculating the 5-month moving average and make a forecast for May 2020. b) Do you think the forecasted value for May-20 using the 5-month moving average is accurate? What are some other methods that you could have used to make a forecast?
State Sales Tax Rate* Alabama Alaska Arizona 4% 0% Hawaii Idaho 6.6% Illinois Florida Georgia Arkansas California 7.25% Iowa Colorado 6% Indiana 4% Massachusetts 6.25% 6% Michigan 6% Minnesota 61% 7% Mississippi 6% Missouri Montana 2.9% Kansas 6.3% Connecticut 6% Kentucky 6% Delaware 0% Louisiana 4% 6% Maine 4% Maryland 5% 6% Nebraska Nevada New Hampshire New Jersey 6.875% 7% 4.225% 0% 5.5% 6.85% 0% New Mexico New York North Dakota North Carolina 5.75% Ohio Oklahoma Oregon Pennsylvania Rhode Island 5.125% 7% South Carolina 4% 5% 5.5% 4.5% 0% 6% 7% 6% South Dakota Tennessee Texas Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming 4% 7% 6.25% 4.7% 6% 4% 6.5% 6% 5% 4%
The following table gives the U.S. national debt for selected years from 1900 to 2013. U.S. Debt ($ billions) 3233 5225 Year 1900 1910 1920 1930 1940 1945 1955 1965 1975 1965 U.S. Debt ($ billions) 1 1 24 16 43 259 273 314 533 1823 Year 1990 1996 2000 2005 2009 2010 2011 2012 2013 5674 7933 11,957 13,529 15,476 16,067 16,856 (a) Using a function of the form ya b^x, with x=0 in 1900 and y equal to the national debt in billions, model the data. (Round your coefficients to four decimal places.) y= (b) Use the model to predict the debt in 2023. (Round your answer to the nearest billion.) $ billion (c) Predict the year in which the debt will be $71 trillion ($71,000 billion).