You have landed a winter internship at the private wealth management division of Suncorp in Brisbane. The MD of the division has asked you to do some basic calculations needed for a presentation to investors in Southeast Queensland. You are given two datasets that are provided in the next two pages. I have also provided you with this data in an excel spreadsheet (FINM3403_2022_TakeHome.XLSX) that you can utilise to figure out the answers. Do not cut-and-paste excel spreadsheets in the document you submit. (a) Worksheet "Table Q3.1" contains the average monthly returns for USA, Australia, India and China in their local currencies and the average monthly exchange rate returns over the 28 years (1994 to 2021). (b) Worksheet "Table Q3.2" contains market indices for MSCI USA, Australia, Hong Kong and Japan (denominated in local currency) and exchange rates relative to USD for the last six months (December 2021 - May 2022). Your task, if you choose to accept it, is (1) To quantify the impact of currency movements on investment returns of the four markets (USA, Australia, India and China) for the period until 2021 using data in (Worksheet) TableQ3.1. Provide your answer in no more than two or three sentences. (4 points) The last few months have been traumatic for investors. Using the MSCI indices for USA, Australia, Hong Kong, and Japan and their exchange rates, you are asked to explain in a very brief note to Suncorp's inexperienced local investors how they would have fared should they have invested in each of these markets. Use data provided in Worksheet "Table Q3.2". (6 points; Max 250 words) Table Q3.1 Local Currency Market Returns Exchange Rate Returns USA AUSTRALIA INDIA CHINA AUD/USD AUD/YUAN AUD/INR 0.0016 -0.0059 0.0079 -0.0519 -0.0111 -0.0424 -0.0111 0.0270 0.0133 -0.0213 -0.0198 0.0035 0.0048 -0.0060 0.0180 0.0082 -0.0003 0.0265 -0.0055 -0.0053 -0.0070 0.0244 0.0082 0.0164 -0.0242 0.0175 0.0177 0.0086 0.0223 0.0107 -0.0132 -0.0459 0.0050 0.0050 -0.0017 0.0168 0.0089 0.0543 0.0107 -0.0054 -0.0054 -0.0074 -0.0112 0.0057 -0.0146 -0.0301 0.0136 0.0136 0.0078 -0.0107 0.0090 -0.0153 -0.0237 0.0068 0.0068 0.0041 -0.0215 -0.0082 0.0062 -0.0126 -0.0079 -0.0079 -0.0075 0.0213 0.0103 0.0441 0.0520 -0.0243 -0.0243 -0.0201 0.0085 0.0198 0.0105 0.0017 -0.0033 -0.0033 0.0007 0.0046 0.0190 0.0295 0.0148 0.0055 0.0076 0.0026 0.0119 0.0175 0.0329 0.0506 -0.0060 -0.0032 -0.0046 0.0049 0.0127 0.0361 0.0426 -0.0090 -0.0035 0.0007 -0.0387 -0.0385 -0.0690 -0.0597 0.0192 0.0249 0.0016 0.0200 0.0263 0.0551 0.0406 -0.0212 -0.0213 -0.0174 0.0120 0.0006 0.0125 0.0041 -0.0109 -0.0080 -0.0076 0.0016 -0.0095 -0.0244 -0.0169 0.0000 0.0038 -0.0143 0.0125 0.0157 0.0218 0.0172 -0.0010 -0.0002 -0.0037 0.0235 0.0159 0.0069 0.0033 0.0124 0.0148 0.0023 0.0105 0.0047 0.0195 0.0066 0.0074 0.0054 0.0057 0.0011 0.0012 -0.0014 -0.0067 0.0098 0.0060 0.0059 0.0092 0.0096 0.0009 0.0010 0.0004 -0.0053 -0.0017 0.0165 0.0089 0.0222 0.0367 -0.0064 -0.0010 -0.0013 -0.0038 -0.0017 0.0012 -0.0171 0.0088 0.0044 0.0013 0.0229 0.0175 0.0079 0.0174 0.0001 -0.0011 -0.0017 0.0161 -0.0007 0.0142 0.0207 -0.0078 -0.0025 -0.0097 0.0199 0.0126 0.0211 -0.0203 0.0050 0.0071 0.0035 Note: 1. Currencies are denoted as number of numerator currency per denominator currency. INR is the currency code for the Indian Rupee. Yuan is the Chinese currency. Year 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 Table Q3.2 Local Currency Market Indices Exchange Rates Date JAPAN YEN/USD HKD/USD AUD/USD AUSTRALIA HONG KONG 104396.03 12685.24 2917.83 115.16 7.796 1.375 USA 31/12/2021 20958.00 31/01/2022 19771.38 28/02/2022 19192.14 11943.73 105462.33 2771.52 115.23 7.798 1.419 12274.60 102715.27 2739.54 115.18 7.814 1.378 13173.02 102939.05 2877.20 121.38 7.831 1.332 31/03/2022 19866.90 29/04/2022 18065.84 31/05/2022 18206.27 13102.88 97972.62 2800.84 129.56 7.846 1.407 12839.56 100708.10 2826.90 128.65 7.846 1.394 Note: 1. Currencies are denoted as number of numerator currency per denominator currency. You have landed a winter internship at the private wealth management division of Suncorp in Brisbane. The MD of the division has asked you to do some basic calculations needed for a presentation to investors in Southeast Queensland. You are given two datasets that are provided in the next two pages. I have also provided you with this data in an excel spreadsheet (FINM3403_2022_TakeHome.XLSX) that you can utilise to figure out the answers. Do not cut-and-paste excel spreadsheets in the document you submit. (a) Worksheet "Table Q3.1" contains the average monthly returns for USA, Australia, India and China in their local currencies and the average monthly exchange rate returns over the 28 years (1994 to 2021). (b) Worksheet "Table Q3.2" contains market indices for MSCI USA, Australia, Hong Kong and Japan (denominated in local currency) and exchange rates relative to USD for the last six months (December 2021 - May 2022). Your task, if you choose to accept it, is (1) To quantify the impact of currency movements on investment returns of the four markets (USA, Australia, India and China) for the period until 2021 using data in (Worksheet) TableQ3.1. Provide your answer in no more than two or three sentences. (4 points) The last few months have been traumatic for investors. Using the MSCI indices for USA, Australia, Hong Kong, and Japan and their exchange rates, you are asked to explain in a very brief note to Suncorp's inexperienced local investors how they would have fared should they have invested in each of these markets. Use data provided in Worksheet "Table Q3.2". (6 points; Max 250 words) Table Q3.1 Local Currency Market Returns Exchange Rate Returns USA AUSTRALIA INDIA CHINA AUD/USD AUD/YUAN AUD/INR 0.0016 -0.0059 0.0079 -0.0519 -0.0111 -0.0424 -0.0111 0.0270 0.0133 -0.0213 -0.0198 0.0035 0.0048 -0.0060 0.0180 0.0082 -0.0003 0.0265 -0.0055 -0.0053 -0.0070 0.0244 0.0082 0.0164 -0.0242 0.0175 0.0177 0.0086 0.0223 0.0107 -0.0132 -0.0459 0.0050 0.0050 -0.0017 0.0168 0.0089 0.0543 0.0107 -0.0054 -0.0054 -0.0074 -0.0112 0.0057 -0.0146 -0.0301 0.0136 0.0136 0.0078 -0.0107 0.0090 -0.0153 -0.0237 0.0068 0.0068 0.0041 -0.0215 -0.0082 0.0062 -0.0126 -0.0079 -0.0079 -0.0075 0.0213 0.0103 0.0441 0.0520 -0.0243 -0.0243 -0.0201 0.0085 0.0198 0.0105 0.0017 -0.0033 -0.0033 0.0007 0.0046 0.0190 0.0295 0.0148 0.0055 0.0076 0.0026 0.0119 0.0175 0.0329 0.0506 -0.0060 -0.0032 -0.0046 0.0049 0.0127 0.0361 0.0426 -0.0090 -0.0035 0.0007 -0.0387 -0.0385 -0.0690 -0.0597 0.0192 0.0249 0.0016 0.0200 0.0263 0.0551 0.0406 -0.0212 -0.0213 -0.0174 0.0120 0.0006 0.0125 0.0041 -0.0109 -0.0080 -0.0076 0.0016 -0.0095 -0.0244 -0.0169 0.0000 0.0038 -0.0143 0.0125 0.0157 0.0218 0.0172 -0.0010 -0.0002 -0.0037 0.0235 0.0159 0.0069 0.0033 0.0124 0.0148 0.0023 0.0105 0.0047 0.0195 0.0066 0.0074 0.0054 0.0057 0.0011 0.0012 -0.0014 -0.0067 0.0098 0.0060 0.0059 0.0092 0.0096 0.0009 0.0010 0.0004 -0.0053 -0.0017 0.0165 0.0089 0.0222 0.0367 -0.0064 -0.0010 -0.0013 -0.0038 -0.0017 0.0012 -0.0171 0.0088 0.0044 0.0013 0.0229 0.0175 0.0079 0.0174 0.0001 -0.0011 -0.0017 0.0161 -0.0007 0.0142 0.0207 -0.0078 -0.0025 -0.0097 0.0199 0.0126 0.0211 -0.0203 0.0050 0.0071 0.0035 Note: 1. Currencies are denoted as number of numerator currency per denominator currency. INR is the currency code for the Indian Rupee. Yuan is the Chinese currency. Year 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 Table Q3.2 Local Currency Market Indices Exchange Rates Date JAPAN YEN/USD HKD/USD AUD/USD AUSTRALIA HONG KONG 104396.03 12685.24 2917.83 115.16 7.796 1.375 USA 31/12/2021 20958.00 31/01/2022 19771.38 28/02/2022 19192.14 11943.73 105462.33 2771.52 115.23 7.798 1.419 12274.60 102715.27 2739.54 115.18 7.814 1.378 13173.02 102939.05 2877.20 121.38 7.831 1.332 31/03/2022 19866.90 29/04/2022 18065.84 31/05/2022 18206.27 13102.88 97972.62 2800.84 129.56 7.846 1.407 12839.56 100708.10 2826.90 128.65 7.846 1.394 Note: 1. Currencies are denoted as number of numerator currency per denominator currency