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Assignment has Three task. We can choose two task from three. both tasks should be applied in Python, R, Power Bi or Tableau and work should be reproducible with supporting evidence such as system...

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1. 01 Individual Portfolio (equivalent to 3,000 words) 100%
FT7101 Foundations of Financial Technology (SEM XXXXXXXXXX/24)
ASSIGNMENT
FT7101 Individual Portfolio (equivalent to 3,000 words) 100%
Completion requirements
Opened: Friday, 1 September 2023, 12:00 AM
Due: 7th December 2023, 3:00 PM
1. Tutor with responsibility for this assessment 
Charles Afriyie ( XXXXXXXXXX ) is your first point of contact for this element of assessment. 
2. The requirements for the assessment 
Complete two of the three tasks below. 
Task one: [up to 1,500 words or equivalent]
Design a working financial dashboard that provides senior executives and other stakeholders of an organisation with strategic insights.  
Briefly reflect on the usefulness of the dashboard and its contents. 
Submit evidence of a working dashboard together with all supporting data (or access to the data) and any relevant programming codes. The work must be reproducible. Work that cannot be reproduced in Python, R, Power Bi or Tableau will be graded according to the grade descriptor.
Task two: [up to 1,500 words or equivalent]
Develop an application that processes relevant data on a financial asset to reveal a stylised fact. 
Reflect on your findings from the application.
Submit evidence of a working application together with all supporting data (or access to the data) and any relevant programming codes. The work must be reproducible. Work that cannot be reproduced in Python, R, Power Bi or Tableau will be graded according to the grade descriptor.
Task three: [up to 1,500 words]
Critically reflect on the nature of financial markets. Support your conclusion with a summary of the key academic and empirical evidence. Refer to relevant academic and professional publications. All sources must be appropriately referenced.
3. A
angements for submission 
Your individualised submission deadline will be available through your assessment submission point.  Although the Assessment Brief on the Module Guide includes details of the standard submission deadline, in all cases these become individualised for you, and presented to you through the assessment point itself.  This applies to all forms of assessment, with the exception of exams, where the date and time will be available in MyGlos approximately four weeks in advance, and certain forms of assessment such as presentations and performances, for which these details will be clarified by your tutor. 
  
Your assessment will be submitted online via Moodle. Please name the files you are submitting using the convention:
MODULE CODE_ASSESSMENT NUMBER (if more than one)_STUDENT NUMBER (plus _FILE NUMBER if more than one file is being submitted)
Please ensure you do not use special characters (e.g.
ackets, commas, speech marks, question marks, etc.) in the file name.
The Maximum file size for uploading is 100MB. 
4. How your assessment will be marked 
This assessment addresses Learning Outcomes: 
1. Demonstrate the ability to reflect on own and others’ functioning to improve on practice. 
2. Demonstrate the ability to work with theoretical knowledge at the forefront of financial technologies in specific contexts. 
3. Analyse complex, incomplete and contradictory evidence on ethical dilemmas and suggest sustainable solutions.
Your work will be graded according to the attached grade descripto
    
     Grade Descriptor FT7101.xlsx
14 September 2023, 2:39 PM
Top of Form
Applied Quantitative Finance
· Book 
 
· by Mauricio Garita
 
· 18/09/2022 
 
· 1st ed. 2021 
 
· Recommended
VIEW ONLINE
Reading intention: Undecided
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Encyclopedia of financial models
· Book 
 
· by Frank J. Fabozzi
 
· 2013 
 
· Essential
VIEW ONLINE
Reading intention: Undecided
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Programming for computations -- Python: a gentle introduction to numerical simulations with Python 3.6
· Book 
 
· by Svein Linge; Hans Petter Langtangen
 
· 2020 
 
· Second edition 
 
· Recommended
VIEW ONLINE
Reading intention: Undecided
View actions menu for item
HTML & CSS: design and build websites
· Book 
 
· by Jon Duckett
 
· 2011 
 
· Supplementary
VIEW ONLINE
Reading intention: Undecided
View actions menu for item
HTML, XHTML, and CSS bible
· Book 
 
· by Steven M. Schafe
 
· 2010 
 
· 5th ed 
 
· Supplementary
VIEW ONLINE
Reading intention: Undecided
View actions menu for item
Beginning JavaScript
· Book 
 
· by Jeremy McPeak; Paul Wilton
 
· 2015 
 
· Fifth edition 
 
· Supplementary
VIEW ONLINE
Reading intention: Undecided
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The digital banking revolution: how fintech companies are transforming the retail banking industry through disruptive financial innovation
· Book 
 
· by Luigi Wewege; Michael C. Thomsett
 
· 2020 
 
· Third edition 
 
· Recommended
VIEW ONLINE
Reading intention: Undecided
View actions menu for item
Impact of Digital Transformation and FinTech on the Finance Professional
· Book 
 
· edited by Volker Liermann; Claus Stegmann
 
· 14/11/2019 
 
· 1st ed. 2019 
 
· Recommended
VIEW ONLINE
Reading intention: Undecided
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FinTech as a Disruptive Technology for Financial Institutions
· Book 
 
· edited by Abdul Rafay
 
· 18/01/2019 
 
· Recommended
VIEW ONLINE
Reading intention: Undecided
View actions menu for item
Fintech in a Flash: Financial Technology Made Easy
· Book 
 
· by Agustin Rubini
 
· 2018 
 
· Recommended
VIEW ONLINE
Reading intention: Undecided
View actions menu for item
Fintech and the Remaking of Financial Institutions
· Book 
 
· by John Hill
 
· 19/05/2018 
 
· Recommended
VIEW ONLINE
Reading intention: Undecided
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Answered Same Day Nov 07, 2023

Solution

Atul answered on Nov 08 2023
37 Votes
Task Two: Developing an application to Reveal a Stylized Fact in Financial Data
Introduction:
In this task, we will develop an application to process financial data and uncover a stylized fact. Stylized facts are recu
ing empirical patterns observed in financial data. These patterns can provide valuable insights for investors, analysts, and policymakers. The application will be developed using Python, and we will use historical stock price data to reveal a stylized fact.
Stylized Fact:
For this task, we will focus on the "Mean Reversion" stylized fact in financial markets. Mean reversion is a phenomenon where asset prices tend to revert to their historical mean or average over time. This concept is widely observed in financial markets and can be applied to trading and investment strategies.
Development of the Application:
To develop the application, we will follow these steps:
1. Data Collection: We need historical stock price data for a specific asset. We will use Python li
aries like Pandas and yfinance to fetch historical stock data from Yahoo Finance.
2. Data Preprocessing: We will clean and preprocess the data, ensuring that it is in a format suitable for analysis. This includes handling missing values, adjusting data frequency, and calculating relevant statistics.
3. Mean Reversion Analysis: We will calculate a rolling mean and rolling standard deviation of the asset's prices. The rolling mean will represent the historical average price, and the rolling standard deviation will provide a measure of volatility.
4. Visualization: We...
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