Master of Professional Accounting - Study Material and Solved Assignments

Running head: MASTER OF PROFESSIONAL ACCOUNTING
Master of Professional Accounting
Name of the Student:
Name of the University:
Authors Note:

MASTER OF PROFESSIONAL ACCOUNTING
1
Table of Contents
Answer to question 1:.................................................................................................................2
Answer to question 2:.................................................................................................................3
Answer to question 3:.................................................................................................................4
Answer to question 4:.................................................................................................................5
Answer to question 5:.................................................................................................................6
Answer to question 6:.................................................................................................................7
Answer to question 7:.................................................................................................................8
References:.................................................................................................................................9

MASTER OF PROFESSIONAL ACCOUNTING
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Answer to question 1:
The client aims to buy a house in Sydney where adequate analysis need to be
conducted on the housing prices of Sydney. The data is relatively derived from ABS website,
which helps in identifying the price changes in house dwelling in Sydney. Adequate
calculation is conducted by deriving the average price, which would eventually help in
understanding the level of property prices that would eventually incur in future. The average
rate is relatively increased by the inflation rate to determine the actual increment in property
value over time. This would eventually help in understanding the level of increment in
Sydney Property value. The below graph relatively represents the increment in housing prices
over the time of 20 years, which would eventually indicate the changes in price of property
(Yates, 2016).
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0 1 2 3 4 5 6 7 8 0 10 11 12 13 14 15 16 17 18 19 20
$-
$0.5000
$1.0000
$1.5000
$2.0000
$2.5000
$3.0000
$3.5000
$4.0000
$4.5000
$5.0000
$1.0200
$2.0181
$4.6464
Housing price (Sydney in Million)
Figure 1: Housing price prediction of Sydney for next 20 years
(Source: As created by the author)

MASTER OF PROFESSIONAL ACCOUNTING
3
Answer to question 2:
The client relatively gets annual salary of $80,000 which will increase over time to
supporter Austrian dreams. The dream of the client is to buy a house in Australia rather in
Sydney where she is working currently. The estimation of the rising income group in Sydney
is a relatively conducted with the help of data derived from ABS website. The data relatively
helped in detecting the level of income growth which will be obtained by the citizens in
Sydney. This would also imply to the client where her income will grow exponentially over
the period of next 10 years. The calculation is a relatively derived from the per week income
increment over the past 20 years, where adequate to your average is taken, while the
increment in income growth is average to identify the overall growth in income that will be
achieved in Sydney. The below table relatively represents the calculation for income growth
and the graph represents the 20-year predicted income growth of the client (Shi et al., 2016).
Time Income Yearly Income Two Year Avg Income Growth
1994–95 $ 642.0 $ 33,384.0
1995–96 $ 626.0 $ 32,552.0 $ 32,968.0
1996–97 $ 648.0 $ 33,696.0 $ 33,124.0 0.5%
1997–98 $ 664.0 $ 34,528.0 $ 34,112.0 3.0%
1999–2000 $ 692.0 $ 35,984.0 $ 35,256.0 3.4%
2000–01 $ 709.0 $ 36,868.0 $ 36,426.0 3.3%
2002–03 $ 726.0 $ 37,752.0 $ 37,310.0 2.4%
2003–04(a) $ 806.0 $ 41,912.0 $ 39,832.0 6.8%
2005–06(a) $ 870.0 $ 45,240.0 $ 43,576.0 9.4%
2007–08(a) $ 994.0 $ 51,688.0 $ 48,464.0 11.2%
2009–10(a) $ 981.0 $ 51,012.0 $ 51,350.0 6.0%
2011–12(a) $ 1,015.0 $ 52,780.0 $ 51,896.0 1.1%
2013–14(a) $ 1,046.0 $ 54,392.0 $ 53,586.0 3.3%
2015–16(a) $ 1,070.0 $ 55,640.0 $ 55,016.0 2.7%