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FINC5090 - Finance in Global Economy
创建日期：2024-06-01 15:08:01
所属分类：金融Finance
标签： FINC5090
Finance in Global Economy

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FINC5090 - Finance in Global Economy

Week 1: Weekly Assignment Outline
1 Instructions
1. Read the instructions carefully.
2. This assignment forms part of your individual assignment.
3. The DUE DATE is 10 SEPTEMBER 2023 as a part of your individual assignment.
The submission link will stop accepting submissions at 23:59 on the submission
date. DO NOT send your work via email if you miss the deadline.
4. Plagiarism is a serious academic offense and will result in zero marks and disci-
plinary action.
5. Make sure you write your correct Student Id as the page header. Student Id
uniquely identifies an author, and it is important that the marker knows the au-
thor of an assignment.
6. Submit your assignment in PDF format only.
2
2 Task 1
 In the bulk download section of this website, download the Foreign direct invest-
ment: Inward and outward flows and stock, annual zipped folder that contains data
files. You may need 7-zip software to open these files. The website provides a
link to this free software. Make sure you install 7-zip software before opening
the downloaded zipped files.
3. In these files, you will see individual countries and groups of countries (world,
G7, Asia-Pacific, et cetera). For the following countries (or groups of countries),
you are required to estimate the net investment for the years 1970, 1980, 1990,
2000, 2010, 2018, 2020, and 2021.
World, Developed Economies, Europe, Belgium, France, Germany, Italy, Netherlands,
Spain, Switzerland, United Kingdom, North America, Canada, United States, Japan,
Australia, Developing Economies, Africa, South Africa, Latin America and the Caribbean,
Brazil, Mexico, Asia and Oceania, Qatar, United Arab Emirates, China, Hong Kong,
South Korea (Republic of Korea), Malaysia, Singapore, Turkey, India, Bangladesh, Pak-
istan, Russia.
For each year, you should consider having a sample of countries for which there
are data available for all relevant variables.
The task asks you to focus on specific years and aggregate country-level numbers,
but the dataset is much richer. You would ideally come up with more questions
that may intrigue you. For instance:
i. What are the cross-sectional and time-series patterns in the data? What can you
infer from these patterns? Are there any obvious structural breaks in the data that
you can exploit to your advantage to enrich your analysis? For instance, when
does a country’s net investment become positive or negative, and why?
ii. Is comparing one country with the other, as is, the right way? For instance, is
it appropriate to compare India with Belgium, or China with Australia? If not,
then what adjustments do you need to make to your analysis?
iii. What is the empirical relation between foreign direct investment and eco-
nomic growth?
iv. What is the empirical relation between foreign direct investment and green-
house gas (GHG) emissions? What is the empirical relation between foreign di-
rect investment and income inequality, poverty, education levels, or living stan-
dards?
3
v. You may think of statistical techniques for inference. These techniques range
from simple correlation to more advanced techniques, such as panel regressions.
If you want to learn more about it, you can read any book on Multivariate Anal-
ysis, available from the Library.
To answer some of these questions, you would need more data that are available
at our world in data that provides clear information on macroeconomic quantities
and emissions. The country classification into income groups data are available
from the World Bank.
To be clear, the data available in the downloaded file is more than sufficient to an-
swer the bare minimum question of this task, i.e., producing a table for aggregate
net investment for each country for the above-mentioned years.
4. Based on the numbers that you get and any further analysis you undertake, you
must present your analysis in writing. For the write-up, the limit is up to two
A4-sized pages, single-spaced, 2.5cm margins (top, bottom, left, and right) A4
page with the Times New Roman font of the size of 12.
5. Refrain from writing stories. Make your point as quickly as possible. A succinct
write-up of analysis is always appreciated by the readers. Again, note that this is
academic work. Your work must be based on your analysis. If not, then you must
provide a reference from an academic journal (not random websites or blogs).
The referenced work must be peer-reviewed (academic journals) or reputable (the
Economist, the Time, Wall Street Journal, et cetera). You have access to all sources
via the University’s library.
6. You may download additional data and incorporate that into your analysis, OR
you may produce some statistical analysis of the data that you may use to enrich
your analysis. If you do this, you are allowed up to two additional A4 pages
(single-sided) (font size 12) in the appendix. The contents of the appendix should
be legible. These pages may be used to present the work based on which you
present your argument(s) in answering this task.
案例分类
标签云
关键词一 关键词二 关键词三 关键词四 关键词五 和法规和的发更好的风格和 ECON 615 FINC 612 CSC148 COMP 639 ACCT 203 ACCT 211 PSYC 101 MTH2009 COMP52315 PSYCO 432 statistics MATH4063 11 xxx 1 MA1MSP MAST30028 MATH3888 CS341 EEE30002 ES2F5 MCD4160 CC0933 ECON 1101 MCHM3001 CHEM3118 COMMGMT 2511 COMP41280 STAT 631 24T1 IRE379 SENG365 ECON433 FIT3139 MATH4602 LING5621M FINS5516 ECON3208 MN2177 L2 SM EEET1415 Finance DS4023 COMP3004 7CCSMRTS K1S5B6 Stat230 CSCI4211 CSI2132 ECON30130 MAS6100 ENVS222 COM2107 INFO1112 STAT 4004 FIT2100 comp2022 COMP4691 Physics 307 Econ 659 probability CSCI316 fir29 CSCI203 COMP3160 COMP6714 INFO1113 Physics 7B Physics Photonics S203031 STAT2005 COMP90015 CSCI 2110 CSCC46 Information CSC477 COMP4650 Statistical COMP 346 COMP1017 ELEC340 MATH1007 Programming function STAT 244 CS 134 Java cse13s Math 108A FW20 ECON3389 CSE 130 Science 331 COMP9020 engineering COSC 445 CSE 5523 GAME2012 visualization MATH 235 Math 370 CSC343 COGS 108 EE524 COMP10200 STAT 416 3FK4 MSCI 311 ECON6113 ACC40700 EMESTER1 MAS8383 ECO 512 STAT 8310 CMN3102 MA577 CMPT 225 COMP0045 Methods Equations MATH 113 Math 3283W ICS-33 EN4302/ENT603 BIA B350F MA318 MTHM506 MECH 5315M ECONOMICS MAS8382 COM 2004 PX3142 XJEL 3662 STAT 231 MGT B399F PX4131 COM2108 30AM MSCI521 ECONM1015 ACFI304 GR5241 MATH10101 ECON 2070 COMS31900 EFIM20011 CSE 250B ACSE-5 STAT4207 SOFT2412 ELEC 331 AY2020 MSIN0209 FIT2094 CS 241L ST404 CS 411 3D CA3 INF4002 COMP3506 SIT718 CS 188 CS 170 MATH 138 CSE 251A CMT118 DATA5207 CMPT307 CMPT459 T1 PGEE11108 COSC 3P32 ME 163 MATH96007 7QQMM203 EE6227 BA 574 STA 4234 ECO206Y1Y ECO2008 MT2300 MATH 11158 CS 527 MACM 316 CSE474 2DI70 ISE 525 COMP3411 EMAT30007 7CCSMBDT MFIN704 MFIN704W21 MfIB ECE 438 CS 436 F36 CS5344 FE 621A FE621 TBA 612 ECM3151 ECMM422 MF1 MSIN0107 ESSMENT CS 5854 MFIT 5008 MIPS R4000 ENG5274 BU52018 ENG2079 BIOA02 STA2570 F0 INF553 STAT 440 STAT3008 COMP9417 COMP6451 6COM1042 BU52006 ST303 HW-1 CISC-235 CS 510 MATH3161 ECN 140 ECE391 Comp 3613 CVEN 9625 PRG455 UESTION 1 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MATH20602 COMP532 MAS275 COMP5318 COMP4002 FIT5086 MAST20004 FIT3152 FIT5129 CIS2380 CS521 COMP 1005 EECMS CITS5501 ECE 462 ECON 6002 ENG 4051 CSC 648 CMT654 MECHENG 713 PHYS1002 AMME 2000 FP0060 DDES3200 MECHENG 743 BINF90002 FIT2081 ISYS90081 ELECTENG 722 BUS 360 ECOS3010 BUS2810 ETF2100 ENG2048 STAT5002 COMP2017 CEME 2003 MATS3004 COMP9319 PHYS1001 COMP5349 AMME2261 COMP-381 FIT3173 COSC2757 ENG4025 QBUS2820 COMP9414 MATH2021 EOSC118 MFIN6690 PMATH 321 CSE-141L MATH575A COMPSCI5002 COMP1511 management comp2123 FINS3616 COMP 3331 COMS30034 DTSC 71 AcF 702 AcF702 DTSC71 MAT021 ELE8083 ACFI213 EG-127J 127J FIT5163 FIT2001 ELE00113M CMT310 CS 245 ENGL 1101 MTH6115 EE497 CS 325 Math 124A MTH5130 MBA502 MGT 5380 ARCH 1261 F033800 20LLP109 ELE4009 FINANCIAL COMP3331 Computer ECE4179 20T3 COMP9311 COMP9311 UNSW MFIN6210 ACCT 5930 EE590 ENG2029 ECO100 SIT315 ACCT3610 COMP3600 STK2100 FIT2004 COMP30020 ACTL1101 Stat 101B BANA 200 COSC2473 ENGG1400 AI COMP90043 MMF 1914H PHYS 127 CS584 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