SUMMATIVE ASSESSMENT
Module title: Behavioural Finance
Module code: FINN3081
Assessment kind: Assignment Programming
Note restrict: 3000 words maximum
Assignment Title
Severely evaluate the behavioural explanations for fundamental financial market anomalies, in conjunction with excessive trading, bubbles, and herding, near every empirical evidence and experimental tactics. For your reply:
· Present how cognitive biases, and psychological factors make a contribution to those anomalies.
· Assess how limits to arbitrage have interaction with investor behaviour in these contexts.
· Compare and critique a minimal of two empirical or experimental papers, specializing within the robustness of their methodology and findings.
· Be aware behavioural ideas to a latest accurate-world case (as an instance meme stocks, crypto bubbles, or social media-driven sentiment), the utilization of evidence from knowledgeable records sources (as an instance Bloomberg, WRDS, Refinitiv, Orbis).
Additional guidance on the plot to behavior the relevant research and prognosis will likely be discussed in lectures and workshops. Please also consult with the Assessment / Summative Assessment folder on the module’s Blackboard topic for extra guidance.
Studying outcomes Tutorial Resources
This evaluate addresses the next module learning outcomes:
a. Demonstrate information and working out of questions in empirical finance linked to applicable methodologies for their prognosis.
b. Explore points in finance by the utilization of knowledgeable records sources.
c. Present students with the replace to win the ability to seriously evaluate tutorial literature referring to to empirical and computational finance.
Graduate attributes
This evaluate helps win the next graduate attributes:
Our graduates
· are launch minded, contain fluctuate and hear to barely about a viewpoints
· are intellectually rigorous and mettlesome
· are unique and creative
· learn and develop from their experiences
· are resourceful and may well perchance apply their information and talents in a as we affirm changing world
Tutorial Integrity
Please consume the “Harvard” or the “APA” manner of referencing. The Handbook “Cite Them Exact” affords detailed guidance on the relevant referencing conventions, every for in-textual tell citations and the compilation of the list of references/bibliography.
Citations must clearly demonstrate whether or no longer you consume the authors’ accurate words (enlighten quotes) or whether or no longer you summarise or paraphrase an argument they originate (indirect quotes). If you read about an author’s arguments or findings, nonetheless you may well be pleased gotten no longer read the customary source, you may well be pleased gotten to clearly name this as a secondary quotation and you’re no longer permitted to list the source you may well be pleased gotten read about (nonetheless no longer read yourself) within the bibliography.
You ought to regulate to the guidance on the consume and referencing of generative AI outlined within the Departmental Generative AI Protection right here. As generative AI affords a particular reply to the identical suggested, students must provide an appendix of the prompts and the responses when generative AI is weak. For every suggested or assortment of linked prompts, students must put a separate appendix. The AI response wants to be equipped in be pleased. of a transcript. of the textual tell or show screen shots of graphs or photos.
If you’re conducting records prognosis or empirical modelling, it is critical to precisely name the utilization of the statistical packages (corresponding to Stata, Excel or MPlus) and databases (corresponding to WRDS, Bloomberg) within the outline of the prognosis you behavior and the records you consume. Pc Science
College students suspected of tutorial misconduct will likely be dealt with according to Business College and University guidelines.
Marking guidelines
Performance in the summative evaluate for this module is judged towards the following criteria:
· Relevance to inquire(s)
· Organisation, structure and presentation
· Depth of working out
· Evaluation and dialogue
· Exercise of sources and referencing
· Overall conclusions
Your assignment wants to be effectively organised and structured, the utilization of headings and sub-headings as applicable to level to topics discussed.
You must fastidiously take under consideration the differences within the quality and validity of barely about a sources of information, in conjunction with within the context of the utilization of generative AI.
The assignment will likely be assessed basically based fully mostly on the grade descriptors.
DUBS Grade Descriptors for Undergraduate Programmes
Class
Worth (%)
Descriptor
First
86-100
Exemplary. Distinctive work showing perception into the topic; reflects a total take of information and working out. Such work is supreme infrequently ever encountered.
76-85
Unparalleled. Comprehensive information of the topic, showing depth of working out with evidence of judgement in need and tense prognosis of relevant topic cloth. Logically structured and clearly written.
70-75
Valuable. Detailed information of the topic, with evidence of judgement in need and tense prognosis of relevant topic cloth. Effectively written with excellent structure. Minor errors acceptable if compensated by excellence in barely about a areas.
Higher 2nd
65-69
Very Exact. Shows excellent information and thorough working out of the topic with evidence of broader working out knowledgeable by wider learning. Less well-known take of the topic than evident in a First Class reply.
60-64
Exact. Moderately excellent information and working out, nonetheless tiny evidence of well-known evaluate or prognosis. Coherent presentation nonetheless much less effectively-structured than considered at bigger grades.
Decrease 2nd
55-59
Enough. Sound general information of the topic as taught nonetheless lacks evidence of broader working out. Presented in a ample framework with relevance to the topic retained at some stage in.
50-54
Comely. Enough, other than that the work may well very effectively be moderately thin or tiring, missing some key parts or lacking in readability.
Third
forty five-49
Old-customary. Reveals defects corresponding to:
· factually beautiful, nonetheless at an elementary level
· or a narrow need of topic cloth with critical omissions
· or critical errors of reality or working out
· or muddled; lacking harmony and course, or a misguided need of topic cloth.
40-44
Bad. Every infrequently involves several and generally critical defects and is thus barely acceptable. Might per chance presumably well also simply consist of very short answers that nevertheless consist of key parts.
Fail
35-39
Very wretched. A really thin half of work containing evidence of supreme rudimentary information of the topic.
30-34
Extremely wretched. The work demonstrates tiny relevant information and/or working out of the topic.
20-29
Sure fail. Work that misses fundamental parts of the guidelines sinister. Deserves recognition for making an effort to answer to the inquire or take care of the essay title, nonetheless reveals very tiny evidence of information or working out.
10-19
Serious fail. Essential incapacity to have interaction with the inquire or essay title. Marks are awarded within this fluctuate for overall presentation, the irregular relevant note in context nonetheless negligible evidence of information or working out.
0-9
Outright fail. Work of very tiny or no payment, or disqualified due to lateness, plagiarism or barely about a disciplinary offences.
Note restrict
Written assignments must no longer exceed the note count indicated above.
The note count have to:
- Consist of your entire textual tell, in conjunction with title, introduction, in-textual tell citations, quotations, footnotes and any barely about a merchandise no longer particularly excluded beneath.
- Exclude diagrams, tables (in conjunction with tables/lists of contents and figures), equations, government summary/summary, acknowledgements, declaration, bibliography/list of references and appendices. Nonetheless, it is no longer applicable to consume diagrams or tables merely as a manner of circumventing the note restrict. If a pupil uses a desk or figure as a manner of presenting his/her occupy words, then right here’s included within the note count.
College students must report a noteworthy note count on basically the most critical page of their assignment. Programming
Examiners will quit learning as soon as the note restrict has been reached, and work previous this level is presumably no longer assessed. Tests of note counts will likely be utilized on submitted work, in conjunction with any assignments or dissertations/industrial initiatives that appear to be over-length. Tests may well perchance take situation manually and/or with the assist of the note count equipped via an digital submission. The set up a pupil has deliberately misrepresented their note count, the College may well perchance treat this as an offence beneath Part IV of the General Regulations of the University. Low conditions may well perchance be viewed as dishonest note beneath Part IV, 5 (a) – (x) of the General Regulations.
Format
Assignments wants to be typed, the utilization of 1.5 spacing and a easy-to-read 12-level font.
Appendices
Moreover to to appendices for the referencing of AI prompts, there may well very effectively be barely about a conditions, where it’ll also very effectively be applicable to latest topic cloth which does no longer properly belong in basically the most critical physique of the evaluate nonetheless which some students are making an try to supply for the sake of completeness in an appendix.
The kind of appendices will no longer be pleased a perform within the evaluate – the examiners are beneath no duty to read appendices, and they enact no longer be pleased. fragment of the note count. Please articulate that your assignment and any appendices must all be pleased. fragment of the identical digital doc, since supreme one file may well very effectively be submitted the utilization of Blackboard.
Submission instructions
Your achieved assignment ought to be uploaded to Blackboard no later than 12noon (UK time) on 16 January 2026.
The submission title for this evaluate have to put collectively this structure FINN1234_Z0****** (the utilization of the FINN-Code of your module and where Z0****** is your Nameless Candidate Code).
It’s some distance your responsibility to assist up your work. You must assist up your work on bigger than one tool.
A penalty will likely be utilized for work uploaded after 12noon as detailed within the Gradual submission policy. You ought to swagger away ample time to fully total the add process earlier than the closing date and evaluate that you may well be pleased gotten got a receipt. At high courses, it can actually soak up to half-hour for a receipt to be generated.
Ideas and marking
College students will receive particular individual written feedback on the assignment and provisional marks by 13 February 2026 via the Blackboard submission topic. Programming
College students’ summative marks are topic to rigorous quality assurance practices. This involves moderation of marking for every module, whereby a 2d marker reviews a pattern of assessments. The External Examiner for the programme then reviews a necessity of assessments all the plot by all modules honours level. Somehow, all marks are formally authorized by the Board of Examiners. The marks live provisional and presumably topic to trade, till the exam board has confirmed them.
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