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 volstocks.Price per Share ($)StockIndustryYear 1QuantityYear 1BaseJanuaryYear 3MarchYear 3AOil10033.5022.7522.50BComputer15065.0049.0047.50сSteel7540.0032.0029.50DReal Estate5016.006.504.75Compute the price relatives for the four stocks making up the Boran index. (Round your answers to one decimal place.)Price RelativeStockJanuaryMarchABCDUse 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.)IJan =IMar =

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Answered: Boran Stockbrokers, Inc., selects four…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

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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. Stock Industry Year 1Quantity Price per Share ($) Year 1Base JanuaryYear 3 MarchYear 3 A Oil 100 33.50 20.75 22.50 B Computer 150 65.00 49.00 47.50 C Steel 75 40.00 32.00 29.50 D Real Estate 50 18.00 6.50 4.75 Compute the price relatives for the four stocks making up the Boran index. (Round your answers to one decimal place.) Stock Price Relative Stock January March A ?? ? B ? ? C ? ? D ? ? Use the weighted average of price relatives to compute the January year 3 and March year 3 Boran indexes. (Round your answers to one decimal place.) IJan=?? IMar=??
The following charts show the monthly S&P 500 index and the FTSE 100 index over approximately the last ten years FRED A - S&P 500 4,000 3,600 3,200 2,800 2,400 2,000 1,600 1,200 800 Jan 2012 Jan 2013 Jan 2014 Jan 2015 Jan 2016 Jan 2017 Jan 2018 Jan 2019 Jan 2020 U.S. recessions are shaded, the most recent end date is undecided. Source: S&P Dow Jones Indices LLC fred.stlouisfe 8,000.00 6,000.00 4,000.00 2,000.00 0.00 2012 2014 2016 2018 2020 The two indices relate to the USA and the UK, respectively. Both indices are I(1) a) Given that the two series are I(1), is it possible for there to be a causal relationship between them? If it is possible, how would you test for the existence of such a relationship?
Boran Stockbrokers, Inc., selects four stocks for the purpose of developing its own index of stock market behavior. Prices per share for a year 1 base period, January year 3, and March year 3 follow. Base-year quantities are set on the basis of historical volumes for the four stocks. Stock Industry Year 1Quantity Price per Share ($) Year 1Base JanuaryYear 3 MarchYear 3 A Oil 100 29.50 24.75 22.50 B Computer 150 65.00 49.00 47.50 C Steel 75 40.00 33.00 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.) Stock Price Relative January March A B C 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.)
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. Stock A B C D Jan Mar Stock = = A - B с D Industry Oil Computer Steel Real Estate January Year 1 Quantity 100 150 75 50 Price per Share ($) March Year 1 Base 31.50 65.00 40.00 16.00 Compute the price relatives for the four stocks making up the Boran index. (Round your answers to one decimal place.) Price Relative January Year 3 22.75 49.00 32.00 6.50 March Year 3 22.50 47.50 29.50 Use the weighted average of price relatives to compute the January year 3 and March year 3 Boran indexes. (Round your answers to one decimal place.) I, 2.75
The following table gives the U.S. national debt for selected years from 1900 to 2013. U.S. Debt ($ 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).

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