FINS5542代做、代寫(xiě)Java/c++設(shè)計(jì)程序

      時(shí)間:2024-07-13  來(lái)源:  作者: 我要糾錯(cuò)



      FINS5542 Assignment 2
      Date Due: 11pm 12 July, with electronic submission via the course
      website.
      1. In this question we will conduct a backtesting exercise for the 1997
      year. For each trading day in 1997 we must graph the 99% VaR that
      was computed 10 trading days before and we must also graph the
      realised loss in the portfolio that occurs over this same period.
      One is required to produce two graphs. The first graph should be the
      backtesting of the VaR method under normality. The second graph
      should be the backtesting of the VaR method under historical sim-
      ulation of daily changes in prices. Finally, one should interpret the
      findings from both of these graphical displays, (noting presentation
      quality is important).
      For these exercises, assume that we hold a portfolio of 15 assets,
      namely aan2, aan3, aan4, aan5 aan6, aan7, aan8, aan9, aan10, aan11,
      aan14, aan15, aan17, aan18 and aan19 where $2,000,000 dollars was
      the value of our holdings in each of the stocks ten trading days before
      the first trading day in 1997. i.e. On 17 December 1996, the value of
      our portfolio is $30,000,000. Also assume that the number of shares
      we hold in each of these stocks does not change over the time frame
      of our back-testing exercise. Finally, in computing the VaR estimates
      one should use the last 800 changes in prices. The data is located on
      the fins5542 Moodle page. See last page, for variable names.
      In addition to printing out the Excel graphs, one should also print out
      the Ox computer code.
      [20 marks (for each method, 2 marks for coding, 4 marks for graph-
      ing, 4 marks for write-up) ]
      1
      2. In this question we will conduct a backtesting exercise for a portfolio
      of 6 stocks for the 2021 year. For each trading day in 2021 we must
      graph the 99% VaR that was computed 10 trading days before and we
      must also graph the realised loss in the portfolio that occurs over this
      same period.
      One is required to produce two graphs. The first graph should be the
      backtesting of the VaR method under normality. The second graph
      should be the backtesting of the VaR method under historical sim-
      ulation of daily changes in prices. Finally, one should interpret the
      findings from both of these graphical displays, (noting presentation
      quality is important).
      For these exercises, assume that $10,000,000 dollars was the value of
      our holdings in each of the following 6 U.S. companies, Coca-Cola
      Co., Home Depot Inc., Intel Corp., McDonald  s Corp., Walt Disney
      Co. and Walmart Inc., (sourced from the CRSP database), ten trading
      days before the first trading day in 2021. Also assume that the number
      of shares we hold in each of these stocks does not change over the time
      frame of our back-testing exercise. Finally, in computing the VaR
      estimates one should use the last 900 changes in prices.
      In addition to printing out the Excel graphs, one should also print out
      the Ox computer code.
      [30 marks (for each method, 3 marks for coding, 3 marks for data
      description, 4 marks for graphing, 5 marks for write-up) ]
      3. Discuss, in less than 1200 words, the limitations of VaR and Ex-
      pected Shortfall, relating these to the results you obtained above in
      questions 1 and 2.
      Please include appropriate references, with a reference section. Both
      content and writing quality are key criteria of equal importance.
      [30 marks]
      2
      Variable Name
      aan1 CISCO SYSTEMS INC
      aan2 MICROSOFT CORP
      aan3 INTEL CORP
      aan4 TEXAS INSTRUMENTS INC
      aan5 SPRINT CORP
      aan6 AMGEN INC
      aan7 INTERPUBLIC GROUP COS INC
      aan8 MELLON BANK CORP
      aan9 WARNER LAMBERT CO
      aan10 BRISTOL MYERS SQUIBB CO
      aan11 ENRON CORP
      aan12 GENERAL ELECTRIC CO
      aan13 TIME WARNER INC
      aan14 EXXON CORP
      aan15 DELL COMPUTER CORP
      aan16 AMERICAN EXPRESS CO
      aan17 SUN MICROSYSTEMS INC
      aan18 CORNING INC
      aan19 FORD MOTOR CO DEL

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