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Behavioural Finance

创建日期：2024-05-11 16:52:36

所属分类：金融Finance

标签： MSIN0225

Behavioural

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Behavioural Finance
Module code/name MSIN0225/ Behavioural Finance

Assessment title Individual project Brief
Individual/group assessment Individual

Return and status of marked assessments: Within 4 weeks from the date of submission as per UCL guidelines. The
module team will update you if there are delays through unforeseen circumstances (e.g. ill health). All results when
first published are provisional until confirmed by the Examination Board.
Copyright Note to students: Copyright of this assessment brief is with the module leader(s) named above. If this
brief draws upon work by third parties (e.g. Case Study publishers) such third parties also hold copyright. It must not
be copied, reproduced, transferred, distributed, leased, licensed or shared any other individual(s) and/or
organisations, including web-based organisations, without permission of the copyright holder(s).
Academic Misconduct: Academic Misconduct is defined as any action or attempted action that may result in a
student obtaining an unfair academic advantage. Academic misconduct includes plagiarism, obtaining help
from/sharing work with others be they individuals and/or organisations or any other form of cheating. Refer to
Academic Manual Section 9: Student Academic Misconduct Procedure - 9.2 Definitions.
Referencing: You must reference and provide full citation for ALL sources used, including articles, text books, lecture
slides and module materials. This includes any direct quotes and paraphrased text. If in doubt, reference it. If you
need further guidance on referencing please see UCL’s referencing tutorial for students here: https://library-
guides.ucl.ac.uk/referencing-plagiarism/welcome. Failure to cite references correctly may result in your work being
referred to the Academic Misconduct Panel.
Content of this assessment brief
Section Content
A Core information
B Coursework brief and requirements
C Module learning outcomes covered in this assessment
D How your work is assessed
E Additional information

Published 18th July 2022

Section A: Core information

Submission date 01/08/2022
Submission time 10am
Assessment is marked out of: 100
% weighting of this assessment
within total module mark
100%
Maximum word count/page
length/duration
2000
Footnotes, appendices, tables,
figures, diagrams, charts included
in/excluded from word count/page
length?
Everything apart for the reference list, tables, graphs, and the
appendices is included in the word count
Bibliographies, reference lists
included in/excluded from word
count/page length?
In-text references are included in the word count.
The reference list is excluded from the word count.
Penalty for exceeding word
count/page length
Standard UCL penalties for exceeding (deduction of 10
percentage points, capped at 40% for Levels 4,5, 6, and 50% for
Level 7) Refer to Academic Manual Section 3: Module
Assessment - 3.13 Word Counts.

Penalty for late submission Standard UCL penalties apply. Students should refer to Refer to
https://www.ucl.ac.uk/academic-manual/chapters/chapter-4-
assessment-framework-taught-programmes/section-3-module-
assessment#3.12
Submitting your assessment Please submit your project to the Turnitin box ‘Individual
project’ on the web site of Behavioural Finance, under the tab
‘Submissions’.
Anonymity of identity. Normally, all
submissions are anonymous unless
the nature of the submission is such
that anonymity is not appropriate,
illustratively as in presentations or
where minutes of group meetings
are required as part of a group work
submission
The nature of this assessment is such that anonymity is required.

Published 18th July 2022

Section B: Assessment Brief and Requirements
For the Behavioural Finance project, students are required to conduct research on topic
of their choice, subject to the following conditions:
1. The project topic should be closely related to one of the topics taught in the course
Behavioural Finance, including
a. Judgment and decision making under uncertainty; prospect theory
b. Central behaviour finance effects (e.g. attention effects and the disposition
effect)
c. Emotional finance theories
d. Financial practitioner – client relationship
e. Bank client behaviour
f. Financial crime
g. Ethics in Finance.
2. The topic should go beyond the existing Behavioural Finance literature.
3. It should be possible to study the topic using quantitative research methods. The
use of qualitative research methods in addition to quantitative methods is optional.
4. The topic should enable research which is in line with the ethics requirements of
the School of Management. If the research involves participants, it should satisfy
the Ethics Code of Conduct of the British Psychology Society.

In particular, students are required to
• Conduct a literature survey on their topic
• Formulate a research question and two relevant hypotheses
• Design a study to test the two hypotheses. The study can include an experiment, a
survey, or analysis of secondary data
• For studies involving experiments or surveys: submit an ethics form through the
ethics form Turnitin box on the web site of the course. The work on the project is
conditioned by an approval of the ethics form
• Conduct the study
• Analyse the data
• Summarise and submit the literature survey, method, results, and conclusions in a
write-up. Project submissions should be done to the Turnitin box ‘Individual
projects’ on the web site of the course.

The write-ups should include:
a. [15 marks] Introduction
i. Background and literature review leading to the research question and
two hypotheses. The literature review should include papers from peer-
reviewed journal, but it can include also other sources of information.
ii. An explanation about the importance of the research question.
iii. An explanation about the contribution of the study to the literature
(showing in which ways the study is original).

[Marking scheme:
10-15 marks: Challenging and innovative research question, which has important
applications. The research question is closely related to at least one of the topics
taught at the course. The hypotheses are related to the research question and are
well-formulated. The research questions and the hypotheses clearly draw on
contemporary Behavioural Finance research, including studies which were taught
at the course Behavioural Finance.

Published 18th July 2022

5-9 marks: The research question is appropriate, but not innovative or somewhat
related to one of the topics taught at the course. The hypotheses are satisfactorily
stated. The relationship to the literature, to the contents of the course, and the
applications lack some clarity or are modest.

0-5 marks: The research question or the hypotheses are poorly formulated, have
unclear scope, or are not closely related to any of the topics taught at the course.
The relationship to the literature is unclear or absent.]

b. [25 marks] Method
i. Data sources (for experiments and surveys, that should include
participants’ details. For studies using secondary data – the data
sources).
ii. Additional information about the data / materials used (for experiments
and surveys – the materials, e.g. questionnaires, pictures, or graphs. For
studies using secondary data – any additional relevant information about
the data, e.g. data characteristics).
iii. Study design (for experiments and surveys, this section should include
the design and procedure of the study, independent variables,
dependent variables, control variables, operational definitions, and
procedure. For studies using secondary data – the independent
variables, dependent variables, control variables and any other relevant
methodological details).

[Marking scheme:
17-25 marks: The data sources are comprehensive and the design is thoughtful and
relevant to the research question and hypotheses. The research methods used are
robust. There is strong evidence of attention to details and critical thought about the
method.

10-17 marks: The data sources are appropriate and the design is clear and relevant
to the research question and hypotheses. The research methods used have many
limitations. There is some evidence of attention to details.

0-10 marks: Poor research approach which lacks consideration of the chosen
methods in terms of their suitability to the context of the research. There is little
evidence of attention to details. The study has many limitations or important details
are absent.]

c. [25 marks] Results, including hypothesis testing (and the statistical analysis
details), qualitative analysis (in case the study involved also qualitative
elements), explanations and interpretation.

[Marking scheme:
17-25 marks: The hypotheses are tested using relevant statistical methods and the
results are interpreted correctly. The analysis and the presentation of results is
outstanding or to a publishable standard. There is a clear contribution to
knowledge.

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FE 825 IERG 5130 STAT 8178 EE161 ADS2 G54FUZ CS326 113B ECN 226 QBUS6860 ELEC3202 COMP9334 MGT11B MET CS 777 STA238 00099F Python SMM306 CMT206 EC116 SP MAST90084 CS480/680 BCPM0091 CMPT 300 ECON2209 FY20 STAT 432 CVEN9625 MATH1712 CMP9771M CMP3750M CIS 325 AI506 MAT344H1S MGT7180 PSTAT 160B CSYS5010 1D STAT 453/558 ME152B STA304H1F CSCI-128 ME428 CO3002 FINE 7640 COMP3234 ECSE 223 EE497 – 3D MATH5905 ECS648U ENG5009 MATH10242 EC665 A CPI221 ISOM5220 MACE40402 MGT B456F COMP9315 AFM 113 STAT 778 CS 564 MA231 CS 230 CS 124 COMP5511 CSC317 ITEC1010 ELEC207 INFT 3019 7CCMFM06 EE 161 5G ECLT5810 MATH 7349 CS526 O2 COMP90054 ELE00063M ACCT5034 ARC1015 CSCI 40 CSCI E40 FIN 524B CS 462 389COM CMT309 MFIN703 COMP4250 STA304 STA304H1S STA 1003 FIN 448 BUFN 732 CS520 CVEN3701 ECMT6006 PHAS0100 CSIT314 MDIA 5028 CSCI 2134 MAT 451 CMPT 459 STAT 457 INFO20003 COMP4141 IELE8066 F540 ECM9 CSE 6321 FIN 430 MATH3911 BFC5916 COMP1011 EEE 6209 STATS 240 CW3 COMP206 COMP1003 4331W ISE 530 CMPT 295 MATH 239 QF5203 INFR08010 IT114105 FIT2093 ECON3124 ECON1195 MATH 337 STAT 3006 COMP202 COMP3130 MATH3609 COMP 250 CS6140 IEEE ELE00041I FIN40090 CIV 5899 MATH3066 IGNMENT MATH 2009 STAT3405 HIST 101 MATH 3281 CEGE0042 ICT532 LAB 7 LAB 5 MCO455 CSIT214 Q4 IFB104 A1 ECO220Y5Y DA5020 CMPSC473 FIN9007 DSCI553 MSCI534 COMP3308 CSE-112 CMPT 310 EE104 F 2C P20 ALY2010 BUSM060 STA258 ECO00030M R BIOSTAT 274 COS6012-B FIT3155 CMPUT 340 EC421 INFS4205 ECOM135 NATS 1740 COMP809 MBE 6005 STA465 CSSE2310 CIVL2700 DATA4700 CMPSC 473 ISE 529 CS5044 MAST30020 COMP2207 ENGG1001 COMP0046 FIT3165 STAT GR5241 MECH0007 vATHK1001 ANALYTIC ATHK1001 MATH352001 HW3 S1 BMAN 24662 COMP 636 Stat-461 STAT 302 STAT 2132 STAR534 ENG4137 CMP3752M CS3103 BISM3222 STA 135 ME155A IIMT3601 ECON3371 ECON 3371 HW4 FINA 5840 DT211C CTEC3902 MAT005 MATH2148 S261F Econ 332 MATH3734 MIS41270 7CCMFM13 SYST 664 CIS434 CENG10014 MT4111 MT4527 ECMM424 CMT219 Math 136 MATH 3120 COMP10002 MAST20009 MATH0058 BEEM117 ISYE 6420 MGMTMFE 405 25579 1ECE 273 M122 COMP4434 1ELEC ELEC5620M STAT0010 BFF2401 MXB361 MATH3811 CS330 CMT307 FIT1033 CptS 583 UP 431 MATH6005 AF5343 CS2435 ECOM30002 ES50061 CS 2506 ECMT6002 CODE 00099F MT4539 ESSAY ICM317 MATH1231 MFIT5010 BMA547 MATH334 CIVL2201 MATH39032 T-04 CIVE97119 EMESTER CAB302 CAB301 59PM STAT802 ISYS3412 RM3 COSC 2123 AcF 311 MATH2022 1FINAL 4CCS1PHC ICM 142 ENVS3023 Math 4023 I1 ACSE8 FIN B385F CS-275 STA 4109-01 A31021 EE140 MT1 EE124 ECO-6004B Inf2-IADS CS126 IS2184 UL18 MATH5092 ECOM009 COMP 6211 ELEC202 MKT3019 IAB230 FIT5046 584-S21 COMP3210 CO250 A29401 MATH 136 MGT6174 ECMT6007 DATA2001 MAT 443 MATH10222 PHDE0071 ELE00123M COSC1295 MAT00045H MATH32032 1004GRC MAS223 COMP10001 DATA3404 CIVL2110 STAT2008 FNCE10002 EEE6431 COM6515 COMP9120 NBS8185 ECTE942 ECON 405 MATH314301 STAT 2011 COMPSCI 350 COMP20007 CMPSC-132 ECON5002 STA 35 MTH6108 FIT5147 MTH6150 100C FINA 5260 DESC9115 ECON4998 NBS8257 GMM ECON 6070 BSA2 ECE599 STATS 102B STA120 INFS601 BFC3241 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 CIVL2010 ECMT2150 CS 333 CP1406 KIT308 Economics 701 ECON3740 ECE 5759 BFC3340 FINC2012 COMP4500 MATH3871 FIT3080 18-819C Economic ECO202Y5Y PHY100 FINC-780 Econ 100B EC602 IE582 EE450 COMP9517 WRDS 150B ECON 570 LECTURE 2 ECA5101 ECE 4420 ADAD9311 FIT3031 CS 544 MF 703 CS 6140 KIT501 ENGSCI 344 CSC171 IE 332 FINM8007 21S2 COSC 1114 FE545 E471 SIT102 CSC108 MAT301 IAE 101 COP3503 STAT2004 EC 303 CS1026 STAT1203 MATH3171 ISOM5160 IFN657 FIT2014 ACCT2102 DSCI550 STATS 330 ELEC421 COMP3670 QBUS6840 MEES:698B MAST30027 MIET1077 Economics IFT 6758 FIT5122 BUSN5101 CptS 111 HRMT5502 Math2018 PP 312 INFS3200 CZ3005 CSSE1001 SENG 2011 MKTG 553Q BUFN 640 COMP507 ETF5952 DATA 311 ECE4043 BANK3011 finance M3H623544 HW1 INFS 7410 AI6103 STAT3888 INFS3208 ACCT7103 ECOS3013 PSYCH 20B F79MA STAT3006 ENGG952 2X MGSC 7000 ECE4132 MSF 526 MATH 3033 CDS 511 EEEE4120 EEET2465 ECA5103 MATH2070 ELEC3104 BU51019 EEE8147 ENGR20003 COSC 1107 ETF3200 FNCE 435 MSFI 435 ISyE6420 GENG4405 HW ETC5523 IE 7315 MOEC0021 STA 106 ENGG 1300A ENGG 1300 OLET1139 STAT 3503 STAT 206 FEM11149 ELEN 4720 COMP20003 SOLA1070 CS574 C11CS LINB29H3 MAST90083 ECON7200 STAT 610 LINB29 DSM-5 COMP3161 EEEN40010 MATH 4431 K353 STA 3386 IERG4300 COMS W4167 ENG5298 AMME 2302 CS3910 COMPSCI 320 STATS 369 GR5242 COSC 328 CSCI435 MGTS1301 INFS2200 COMP3900 CIS 375 Module AE03 COMP3121 CS260 HAM503 MGMT5050 INT3075 COSC 285 GEOL0029 GEGE2X01 STAT1201 MATH1061 MMF1941H STAT 5060 CS 520 COMP 4320 MSIN0104 000T FINS3648 ECMT2160 ECON4003 Phys 129L CSE 142 CS 3130 MGEB01 EECS 340 Finance (20443/20444) ECMM149 COMP5310 EEEN60180 CSC 111 AT2 CSCI 4430 STAB57 MA/CSC 427 MATH322 D100 CSCI544 CITS3004 CI6227 CSE 565 APCO 1P01 852L1 ELEC S411F COMP3207 STATS330 ECON7530 FIT5149 CSI4104 CMPT 371 COMP201 SEHS4696 FI4003 MATH6182 CG1 WS MATH401 MGT 205 QTM 110 COMP 0137 MACE12201 FIT5210 ECE 544 BISM7206 HUDM 6055 ECON3203 STATS 210 MSCI 570 MATH6173 COMPSCI4039 Accounting COM3503 AOE2024 ECON213 PSYC10004 Control Data 100/200A PHIL2617 PHYS3116 MIE250 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