代做BFW 2341: Assessment 1: Forex Trading Simulation帮做R程序

BFW 2341: Assessment 1: Forex Trading Simulation (30%)

Individual

You are encouraged to read the following information regarding AI before carry out the duty in this assignment

Generative AI tools are restricted for certain functions in this assessment task

In this assessment, you can use generative artificial intelligence (AI) in order to define the terms only, any use of generative AI must be

appropriately acknowledged (see Learn HQ).

Assignment Sheet

Unit Name

International Financial Management

Unit Code

BFW2341

Unit Facilitator Name

Dr Darniya Prabu

Assignment Name

Forex Simulation Trading

Assignment Number/Reference

Assessment 1

Weightage

30%

Learning Outcomes

This assignment assesses the following learning outcomes:

Learning

Outcome

Number

Learning Outcome Description

LO1

Explore the international financial environment and the importance of foreign exchange risk management.

LO3

Demonstrate how foreign exchange market mechanisms can be used to hedge foreign currency transaction exposure.

Weighting

This assignment is worth 30% of your overall grade for this unit.

Requirements

This assignment has the following requirements:

Assignment Type

Individual

Response Format

Written copy

Response Specifications

N/A

Due Date

23.55 pm (Malaysian Time), 29 August 2025

Submission Process

Submit with Moodle (3 files total)

1.  Submit one PDF Document of this Report with all answers.

2.  Submit a History Trader Report Downloaded from Metatrader.

3.  Submit Excel File on Regression Analysis

4.  All references should be provided at the end of the report.

BFW2341 S2 2025 Forex Trading Simulation

Part 1: Trading currencies (40 marks)

Note: The use of Generative AI is Not Allowed in Part 1 of this assessment.

a)   Fill in your transaction records (entry prices), increase rows if necessary. The duration of  trade must be at least 10 days. Any trade duration lesser than 10 trading days will have a deduction in marks. The number of trades is up to the student but any trades and any

currency traded done must be well justified.   (10 marks)

Date

Currency pair

Order type

(market/limit)

Volume (lot)

Executed price

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Note: Please increase rows if necessary based on the trade history. Input all your trades done.

b)   Fill in the historical price of the currency pair used to trade. Record the historical Weekly High and Weekly Low for 3 weeks for each currency traded. (10 marks)

Date

Currency pair

Weekly High

Weekly Low

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Note: Please increase rows if necessary. Watch Video Guidance on how to obtain Weekly High and Low for Every Currency Traded.

c)   Reflect on your personal trading experience during the simulation period. Explain why you

chose to trade the specific currency pairs you did and what influenced your decisions, such

as familiarity, news events, volatility, or technical signals? Describe your overall trading

strategy  and  the  key  decisions  you  made,  including  how  you  responded  to  market

conditions and any challenges you faced. Assess how effective your approach was by

highlighting what worked, what did not, and how you managed risk throughout. Share what

you learned about your trading style and what improvements you would consider making

in  future  trades.  Support  your   reflections  with   relevant  examples  or  evidence  and

references where possible.                                                                                 (20 marks)

Word Limit: 1000 words

Part 2: Short Essay Question (20 marks)

Note: The use of Generative AI is Restricted in Part 2 of this assessment. You may only use it for definitions. Any use of Generative AI must be acknowledged.

In this section, you are  required to  critically analyse the  key factors that  influenced  the movement  of  only  One  of  the  currency  pair  you  traded  in  Part  1.  Go  beyond  basic explanations  by  examining  how  macroeconomic  indicators,  political  developments,  and market sentiment contributed to fluctuations in the exchange rate. Use real-life data or events to support your analysis, and clearly link how these factors were present during your trading period. Explain how they may have impacted your trading decisions, outcomes, or strategy adjustments throughout the duration. You may use references to support your answers.

Word Limit: 1000 words

(20 marks)

Part 3: Regression Analysis (40 marks)

Note: The use of Generative AI is Not Allowed in Part 3 of this assessment.

a)  Conduct a regression analysis to estimate the relationship between the Exchange Rate (Dependent Variable) for the period 2000-2022 using annual data for any ONE of the following currency pairs;                                                                                      (20 marks)

i) Canada (Canadian Dollars to USD Spot Exchange Rate Annual) or

ii) Japan (Japanese Yen to USD Spot Exchange Rate Annual) or

iii) Singapore (Singapore Dollars to USD Spot Exchange Rate Annual)

The independent variables to be analysed are as follows;

•     Constant Gross Domestic Product per capita

•     Inflation, Consumer Prices (Percent)

•     Central Government Debt (Percent of GDP)

The above database can be found at https://fred.stlouisfed.org/.

b)   Interpret your regression results by explaining the relationship between the dependent variable (exchange rate) and the independent variables used in your model. Identify which factors have a statistically significant impact and discuss whether these relationships are positive or negative.

In your discussion, consider whether the results align with economic theories of currency valuation,  particularly  in  relation  to  inflation,  GDP  per  capita,  and  government  debt. Support your analysis by referencing actual economic or financial events that occurred during your study period.

Provide a critical reflection on your model by discussing any limitations that may have affected the accuracy or reliability of your results. You may use references to further justify your answers where possible.

Word Limit: 1000 words

(20 marks)



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