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

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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 links which can be accessed.





























1. 01 Individual Portfolio (equivalent to 3,000 words) 100% FT7101 Foundations of Financial Technology (SEM1 - 2023/24) 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 ( [email protected] ) 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. Arrangements 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. brackets, 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 descriptor  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 View actions menu for item Encyclopedia of financial models · Book    · by Frank J. Fabozzi   · 2013    · Essential VIEW ONLINE Reading intention: Undecided View actions menu for item 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. Schafer   · 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 View actions menu for item 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 View actions menu for item 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 View actions menu for item Creative Commons Attribution-ShareAlike 4.0 Licence Bottom of Form
Answered Same DayNov 07, 2023

Answer To: Assignment has Three task. We can choose two task from three.both tasks should be applied...

Atul answered on Nov 08 2023
25 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 finan
cial data and uncover a stylized fact. Stylized facts are recurring 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 libraries 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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