<em id="rw4ev"></em>

      <tr id="rw4ev"></tr>

      <nav id="rw4ev"></nav>
      <strike id="rw4ev"><pre id="rw4ev"></pre></strike>
      合肥生活安徽新聞合肥交通合肥房產生活服務合肥教育合肥招聘合肥旅游文化藝術合肥美食合肥地圖合肥社保合肥醫院企業服務合肥法律

      FINS5516代做、代寫c/c++,Java程序語言

      時間:2024-07-18  來源:合肥網hfw.cc  作者:hfw.cc 我要糾錯



      Mohamad MOURAD – Term 2, 2024 UNSW Sydney

      FINS5516 – International Corporate Finance
      Term 2, 2024, UNSW Sydney
      Data Exercise Assignment
      DUE: Sunday 2 August 2024, 5pm (Sydney, Australia time)

      Weighting

      This assessment is worth 25% of your final grade for FINS5516 – International Corporate
      Finance. Next to each question is the allocation of marks. There are a total of 30 marks for
      this assignment.

      Assignment Learning Objectives

      The purpose behind this assignment is to get students to:

      1. apply and assess the relevance of the International Parity Conditions and Purchasing
      Power Parity (PPP) Theory in a practical setting,

      2. think outside the textbook and homework questions framework,

      3. conduct their own research,

      4. using actual data and statistical methods (regression and regression analysis),

      5. improve their familiarity with statistical tools in Microsoft Excel.

      This assignment is designed to give students an insight into how economists and analysts in
      industry approach the topic of exchange rate modelling.

      This assignment is individual work and must be submitted as individual work only.

      IT IS RECOMMENDED THAT STUDENTS WORK ON THIS ASSIGNMENT
      FREQUENTLY. CRAMMING AT THE LAST MOMENT IS A BAD STRATEGY.

      Mohamad MOURAD – Term 2, 2024 UNSW Sydney
      FINS5516 – Data Exercise Assignment

      Teaching staff will randomly assign each student one of five countries in the list below:

      1. Canada (CAD)
      2. South Africa (ZAR)
      3. South Korea (KRW)
      4. Switzerland (CHF)
      5. United Kingdom (GBP)

      Once assigned a country, the student will analyse the exchange rate ?/ comprising that
      country’s currency in relation to that of the United States (USD). The USD is the base
      currency irrespective of which currency you have been allocated. Thus, for example, if a
      student is assigned South Korea, then they are required to complete the data exercise
      assignment on the KRW/USD exchange rate.

      Download the Excel file uploaded on Moodle to see which country you have been allocated.

      Section 0 – General Overview of the Data Exercise Assignment.

      You are constructing a regression model to forecast an estimate of the exchange rate. You
      expect changes in future exchange rates depend on a set of key macroeconomic variables:

      1. the countries’ real GDP growth rates
      2. the inflation rate differential
      3. long-term interest rate differential

      Section 1 – Downloading the Data and Setting up the Excel File.

      1.1 – Using FactSet, obtain quarterly data from 2001Q1 to 2024Q1 on:
      - The exchange rate ?/ you have been randomly assigned.
      - Economic growth rates for both countries, defined as the year-on-year % change in
      real GDP.
      - Inflation rates for both countries, defined as the year-on-year % change in the CPI.
      - Long-term interest rates for both countries.

      1.2 – Using the data you collected from FactSet, calculate the following:

      - The change in exchange rates over (i) 1 quarter, (ii) 1 year, and (iii) 3 years. These
      must be forward looking. Calculating a forward-looking change in the exchange rate
      is best illustrated by an example. Thus, for example, the one-quarter change in the
      exchange rate, ?/, for December 2022 is:

      ?/,=? 2023
      ?/,= 2022
      ? 1

      - Economic growth rates for both countries as a decimal. This is done by dividing the
      FactSet value by 100.
      Mohamad MOURAD – Term 2, 2024 UNSW Sydney
      - The inflation rate differential as a decimal (ensure that you divide the FactSet value
      by 100), which for simplicity, we define as the rate of the term currency country less
      the rate of the base currency country.
      - The long-term interest rate differential as a decimal (ensure that you divide the
      FactSet value by 100), which for simplicity, we define as the rate of the term currency
      country less the rate of the base currency country.

      Section 2 – Regression Modelling

      2.1 – Consider the following econometric structural model of the change in the exchange rate:

      Δ?/, = 0 + 1Δ?, + 2Δ, + 3 + 4 +

      where
      Δ?/, is the percentage change in the exchange rate over period .
      Δ is the annual percentage growth rate in real GDP over period .
      is the inflation rate differential for period .
      is the interest rate differential for period .
      Using linear regression, obtain the coefficient estimates for each of the 3-time horizons. You
      need to report for each time-horizon, ALL coefficient estimates, p-values, Adjusted R-squares,
      F-statistics (and p-value) in one table, so the grader is able to see your results in your written
      submission (rather than the Excel file). (4 marks)
      2.2 – Analyse the statistical significance of the coefficient estimates at the 5% level. You are
      to provide a summary/high-level analysis of the key results. Word limit: 150 words. (3 marks)
      2.3 – Consider both the p-value associated with the F-statistic (at the 5% level of significance)
      and the adjusted R-squared as the forecast horizon increases from 1 quarter to 3 years.
      Provide some commentary and discuss whether such results (across the 3 models) are
      consistent with PPP theory. Word limit: 150 words. (4 marks)
      2.4 – Which macroeconomic variables from the model you have estimated are considered
      economically important for modelling changes in the exchange rate? Are you surprised by
      these results? Are they consistent with PPP theory? Word limit: 150 words. (5 marks)
      2.5 – One potential issue the analyst faces when using multiple linear regression analysis is
      the multicollinearity of the independent variables. Verify whether or not multicollinearity exists
      among the independent variables. This is done by examining the correlation between each of
      the independent variables. Think of this as a correlation matrix (must be included in your
      document) which can be easily performed in Excel using the “Data Analysis” tool pack. If the
      independent variables are highly correlated, then the analyst is unable to isolate the effect of
      each independent variable on the dependent variable. Thus, analysis essentially becomes
      pointless. Word limit: 100 words. (3 marks)
      Section 3 – Forecasting

      3.1 – Using the latest values of the key macroeconomic variables forecast the estimated
      change in the exchange rate:
      (1)
      Mohamad MOURAD – Term 2, 2024 UNSW Sydney

      4

      a) **quarter ahead,
      b) **year ahead
      c) 3-years’ ahead

      Report the magnitude of the forecasts for each regression model in no more than two
      sentences. Provide brief commentary (no more than one sentence) as to whether the currency
      you have been assigned is forecast to depreciate or appreciate against the USD over each
      forecast horizon. (3 mark)
      3.2 – Do you think that the structural model (Equation 1) is a useful model for modelling
      changes in the exchange rate? What are some of its limitations? Irrespective of your answer,
      what other independent variable would you include in Equation 1? Provide at least one
      economic reason for that variable’s inclusion. You should also provide commentary indicating
      what relationship this variable has with the change in the exchange rate (that is, the dependent
      variable). Word limit: 150 words. (3 marks)

      Mohamad MOURAD – Term 2, 2024 UNSW Sydney
      Additional Information
      Note 1: Grammar, Spelling, Punctuation and Style.
      1. Five marks out of the 30 marks will be allocated to grammar, spelling, professionality
      of the responses and ensuring that all data and calculations in the Excel file are
      expressed to 3 decimal places. You need to ensure that your work is polished and
      contains NO errors. Remember you are presenting your work. When you are working
      professionally, the market expects high quality output.

      2. If you use sources in your answers, ensure that you formally cite them. The style of
      referencing is for you to decide.

      3. Plagiarism is not tolerated. Your answers must be written by you and only you. Turnitin
      has a similarity indicator that reports a percentage similarity score. Submissions with
      similarity scores should not be greater than 15% if they are written in your own words.

      Turnitin includes the cover sheet and your references list in its calculation of its similarity score.
      However, the grader will be able to filter this out and see the percentage similarity score based
      only on the student’s written responses.
      Note 2: Data Exercise Assignment Submissions and Responses.
      1. Students will only be permitted to submit their data exercise assignment ONCE in
      Turnitin. There are NO multiple submission options permitted. What is submitted first
      will be graded.

      2. There is NO grace period for any submissions.

      3. Lengthy responses to questions will result in only the first 150 words of each part (or
      whatever the word limit is for that section) being graded.

      4. If a student submits their data exercise assignment on an exchange rate other than
      the exchange rate they were assigned, then they have not followed instructions. The
      maximum grade a student will then obtain is 60% for this assessment.

      5. If a student submits their data exercise assignment via the incorrect Turnitin
      submission link, then 1 mark will be deducted.

      6. You must type your answers and submit as a PDF document via Turnitin. Ensure that
      the cover sheet is attached with your submission. See Moodle for cover sheet. A
      submission without the cover sheet will result in 1 mark being deducted. If your
      submission is not submitted in PDF format, 1 mark will be deducted.

      7. Submit your Excel file with the calculations. Failure to submit the Excel file will result
      in a deduction of 5 marks.

      8. The School of Banking and Finance’s policy stipulates late submissions will attract a
      5% penalty per day following the assignment due date (weekend days included). A
      submission made one week (that is, 7 days) after the specified due date will result in
      a grade of 0.

      The LIC reserves the right to add to this list in light of changing conditions. Any changes made
      will be communicated with students as an announcement via the Moodle webpage.
      請加QQ:99515681  郵箱:99515681@qq.com   WX:codinghelp









       

      掃一掃在手機打開當前頁
    1. 上一篇:菲律賓機場海關出境護照被扣怎么辦 專家解答
    2. 下一篇:菲律賓移民需要什么條件(投資移民怎么辦理)
    3. ·代做4CM507、代寫c++,Java程序語言
    4. ·TK3163編程代做、代寫Java程序語言
    5. ·代寫 tic-tac-toe game 、代做Python/Java程序語言
    6. ·IFN556代做、代寫c/c++,Java程序語言
    7. ·FIT1050代做、代寫Java程序語言
    8. ·COMP1039代做、代寫Java程序語言
    9. ·代寫COMP1721、代做Java程序語言
    10. ·代做FIT5046、代寫Python/Java程序語言
    11. ·COMP222代寫、Python, Java程序語言代做
    12. ·代寫INAF U8145、代做c++,Java程序語言
    13. 合肥生活資訊

      合肥圖文信息
      挖掘機濾芯提升發動機性能
      挖掘機濾芯提升發動機性能
      戴納斯帝壁掛爐全國售后服務電話24小時官網400(全國服務熱線)
      戴納斯帝壁掛爐全國售后服務電話24小時官網
      菲斯曼壁掛爐全國統一400售后維修服務電話24小時服務熱線
      菲斯曼壁掛爐全國統一400售后維修服務電話2
      美的熱水器售后服務技術咨詢電話全國24小時客服熱線
      美的熱水器售后服務技術咨詢電話全國24小時
      海信羅馬假日洗衣機亮相AWE  復古美學與現代科技完美結合
      海信羅馬假日洗衣機亮相AWE 復古美學與現代
      合肥機場巴士4號線
      合肥機場巴士4號線
      合肥機場巴士3號線
      合肥機場巴士3號線
      合肥機場巴士2號線
      合肥機場巴士2號線
    14. 幣安app官網下載 短信驗證碼 丁香花影院

      關于我們 | 打賞支持 | 廣告服務 | 聯系我們 | 網站地圖 | 免責聲明 | 幫助中心 | 友情鏈接 |

      Copyright © 2024 hfw.cc Inc. All Rights Reserved. 合肥網 版權所有
      ICP備06013414號-3 公安備 42010502001045

      成人久久18免费网站入口