1).
Year |
Price |
Four Year Average |
Price change |
2002 |
404 |
||
2003 |
474 |
||
2004 |
509 |
||
2005 |
494 |
470 |
|
2006 |
487 |
491 |
4.41% |
2007 |
512 |
500 |
1.93% |
2008 |
491 |
496 |
-0.92% |
2009 |
508 |
499 |
0.72% |
2010 |
603 |
528 |
5.84% |
2011 |
567 |
542 |
2.61% |
2012 |
608 |
572 |
5.42% |
2013 |
670 |
612 |
7.07% |
2014 |
759 |
651 |
6.34% |
2015 |
878 |
729 |
11.97% |
2016 |
919 |
806 |
10.66% |
2017 |
978 |
883 |
9.53% |
Average |
5.46% |
The calculation conducted in the above table relatively represents the average value of property prices in Sydney, which could be used while drafting the overall financial plan for the client. The 4-year average price is relatively used to detect the overall changing prices of property in Sydney, which is then average it to identify the growth in property price. The growth values a relatively used to identify the future price change in property that will income in the next 20 years. This detection of the overall is essential to understand the level of expenses that will in curve by the client to buy a housing property in Sydney. With the help of the graph it could be identified that the property price but relatively increased from $0.98 million to $2.83 million in 20 years. Therefore, adequate financial planners to be conducted for the client so that she could attend the Australian dream of buying a house in Sydney (Baker & Lester, 2017).
2).
Year |
Weekly Income |
Yearly Income |
Four Year Average |
Price change |
1994–95 |
$ 642 |
$ 33,384 |
||
1995–96 |
$ 626 |
$ 32,552 |
||
1996–97 |
$ 648 |
$ 33,696 |
||
1997–98 |
$ 664 |
$ 34,528 |
33,540 |
|
1999–2000 |
$ 692 |
$ 35,984 |
34,190 |
1.94% |
2000–01 |
$ 709 |
$ 36,868 |
35,269 |
3.16% |
2002–03 |
$ 726 |
$ 37,752 |
36,283 |
2.88% |
2003–04(a) |
$ 806 |
$ 41,912 |
38,129 |
5.09% |
2005–06(a) |
$ 870 |
$ 45,240 |
40,443 |
6.07% |
2007–08(a) |
$ 994 |
$ 51,688 |
44,148 |
9.16% |
2009–10(a) |
$ 981 |
$ 51,012 |
47,463 |
7.51% |
2011–12(a) |
$ 1,015 |
$ 52,780 |
50,180 |
5.72% |
2013–14(a) |
$ 1,046 |
$ 54,392 |
52,468 |
4.56% |
2015–16(a) |
$ 1,070 |
$ 55,640 |
53,456 |
1.88% |
Average |
4.80% |
|||
Growth in Income |
4.80% |
The similar calculation as the 4-year average is relatively used in determining the income growth rate of salaried citizens in Sydney. This would eventually help in identifying the level of income that will increase for the client in future to support her purchase of housing property. From the calculation it is detected that an average of 4.8% growth rate in income is seen for the past 20 years, which would eventually help in growing the level of income for the client. The graph relatively represents the income growth anticipation of the client, where an increment of 0.08 million to 0.20 million is seen after 20 years (Abs.gov.au, 2018).
3).
Particulars |
Monthly |
Yearly |
Salary |
$ 6,666.67 |
$ 80,000.00 |
Expenses on Amenities |
$ 1,435.00 |
$ 17,220.00 |
Expenses on rent |
$ 765.00 |
$ 9,180.00 |
Total expense |
$ 2,200.00 |
$ 26,400.00 |
Tax |
$17,547.00 |
|
Savings |
$ 3,004.42 |
$ 36,053.00 |
Particulars |
Value |
Max LVR |
80% |
Property Value |
$ 430,265.00 |
Loan From Bank |
$ 344,212.00 |
Deposit to bank |
$ 86,053.00 |
Both the calculations relatively help in understanding the level of savings that needs to be conducted by the client to buy the relevant housing property. Hence, from the valuation it could be identified that the client can buy the property with a value of $430,265 on the current savings that is made by her. Moreover, the monthly savings value is relatively at the levels of 3,004, which could eventually help the client to support mortgage payments on monthly basis. Adequate savings are conducted by the client after deducting all the relevant expenses and tax imposed by the Australian government (Baur & Heaney, 2017).
4).
Particulars (With Insurance premium) |
Value |
Max LVR |
99% |
Property Value |
$ 850,000.00 |
Loan From Bank |
$ 840,952.00 |
Deposit to bank |
$ 9,048.00 |
Stamp Duty |
$ 39,478.00 |
Insurance Premium |
$ 37,527.00 |
Particulars (Without Insurance premium) |
Value |
Max LVR |
80% |
Property Value |
$ 428,875.00 |
Loan from Bank |
$ 343,100.00 |
Deposit to bank |
$ 85,775.00 |
Stamp Duty |
$ 278.00 |
Adequate impact of insurance premium is evaluated in the above table where the client could use the method for effectively minimising the overall LVR value and maximizing the property value. From the calculation it is detected that without the insurance premium a property value of $428,875, where the LVR value of at the level of 80%. However, conducting the loan with insurance premium would eventually allow the client to obtain a property with a value of $850,000, where the LVR is at 99%. Hence, it could be identified that with the use of insurance premium the client could effectively buy the adequate home to support her Australian dream (Chia, Li & Zheng, 2017).
5).
Year |
Property price |
Savings Target |
20% upfront |
Stamp duty |
Difference |
0 |
$ 977,500 |
$ 86,053 |
$ 195,500 |
$ 41,868 |
$ (151,315) |
1 |
$ 1,030,918 |
$ 124,079 |
$ 206,184 |
$ 41,635 |
$ (123,740) |
2 |
$ 1,087,255 |
$ 164,186 |
$ 217,451 |
$ 43,911 |
$ (97,175) |
3 |
$ 1,146,671 |
$ 206,263 |
$ 229,334 |
$ 46,310 |
$ (69,381) |
4 |
$ 1,209,334 |
$ 250,460 |
$ 241,867 |
$ 48,841 |
$ (40,248) |
5 |
$ 1,275,421 |
$ 296,894 |
$ 255,084 |
$ 51,510 |
$ (9,700) |
6 |
$ 1,345,120 |
$ 345,691 |
$ 269,024 |
$ 54,325 |
$ 22,342 |
7 |
$ 1,418,627 |
$ 396,979 |
$ 283,725 |
$ 57,294 |
$ 55,960 |
8 |
$ 1,496,152 |
$ 450,897 |
$ 299,230 |
$ 60,425 |
$ 91,242 |
9 |
$ 1,577,913 |
$ 507,588 |
$ 315,583 |
$ 63,727 |
$ 128,278 |
10 |
$ 1,664,142 |
$ 567,203 |
$ 332,828 |
$ 67,209 |
$ 167,165 |
11 |
$ 1,755,084 |
$ 629,901 |
$ 351,017 |
$ 70,882 |
$ 208,002 |
12 |
$ 1,850,995 |
$ 695,850 |
$ 370,199 |
$ 74,756 |
$ 250,895 |
13 |
$ 1,952,147 |
$ 765,224 |
$ 390,429 |
$ 78,841 |
$ 295,954 |
14 |
$ 2,058,827 |
$ 838,208 |
$ 411,765 |
$ 83,149 |
$ 343,294 |
15 |
$ 2,171,337 |
$ 914,997 |
$ 434,267 |
$ 87,693 |
$ 393,036 |
16 |
$ 2,289,995 |
$ 995,792 |
$ 457,999 |
$ 92,485 |
$ 445,308 |
17 |
$ 2,415,138 |
$ 1,080,808 |
$ 483,028 |
$ 97,539 |
$ 500,241 |
18 |
$ 2,547,120 |
$ 1,170,269 |
$ 509,424 |
$ 102,870 |
$ 557,976 |
19 |
$ 2,686,314 |
$ 1,264,412 |
$ 537,263 |
$ 108,491 |
$ 618,658 |
20 |
$ 2,833,114 |
$ 1,363,482 |
$ 566,623 |
$ 114,420 |
$ 682,439 |
Year |
Property price |
Savings Target |
5% upfront |
Insurance premium |
Stamp duty |
Amount |
0 |
$ 977,500 |
$ 86,053 |
$ 48,875 |
$ 37,537 |
$ 41,868 |
$ (42,227) |
1 |
$ 1,030,918 |
$ 124,079 |
$ 51,546 |
$ 39,588 |
$ 41,635 |
$ (8,691) |
2 |
$ 1,087,255 |
$ 164,186 |
$ 54,363 |
$ 41,752 |
$ 43,911 |
$ 24,161 |
3 |
$ 1,146,671 |
$ 206,263 |
$ 57,334 |
$ 44,033 |
$ 46,310 |
$ 58,586 |
4 |
$ 1,209,334 |
$ 250,460 |
$ 60,467 |
$ 46,440 |
$ 48,841 |
$ 94,712 |
5 |
$ 1,275,421 |
$ 296,894 |
$ 63,771 |
$ 48,977 |
$ 51,510 |
$ 132,636 |
6 |
$ 1,345,120 |
$ 345,691 |
$ 67,256 |
$ 51,654 |
$ 54,325 |
$ 172,456 |
7 |
$ 1,418,627 |
$ 396,979 |
$ 70,931 |
$ 54,477 |
$ 57,294 |
$ 214,277 |
8 |
$ 1,496,152 |
$ 450,897 |
$ 74,808 |
$ 57,454 |
$ 60,425 |
$ 258,211 |
9 |
$ 1,577,913 |
$ 507,588 |
$ 78,896 |
$ 60,593 |
$ 63,727 |
$ 304,372 |
10 |
$ 1,664,142 |
$ 567,203 |
$ 83,207 |
$ 63,905 |
$ 67,209 |
$ 352,882 |
The tables relative Lee represent that under the 20% up front system the client could effectively by the property during 6-year, as adequate savings needs to be conducted before the purchase of Australian home. However, from the valuation could also be detected that under 5% upfront payment the client to effectively by the property during 2nd year, as Insurance premium is allowed by the bank for delivering the loan.
6).
Property value |
$ 1,087,255 |
|||
Loan amount |
$ 1,032,892 |
|||
Year |
Interest rate |
Mortgage Payment |
Saved |
Savings |
3 |
3.65% |
$37,701 |
$ 76,078 |
$ 38,377 |
4 |
3.65% |
$37,701 |
$ 92,644 |
$54,943 |
5 |
3.65% |
$37,701 |
$ 111,683 |
$73,982 |
6 |
7.00% |
$72,302 |
$ 133,325 |
$61,023 |
Year |
Income |
Expense |
Tax |
Net Income |
0 |
$ 80,000 |
$ 17,220 |
$ 17,547 |
$ 45,233 |
1 |
$ 83,837 |
$ 17,623 |
$ 18,794 |
$ 47,420 |
2 |
$ 87,858 |
$ 18,035 |
$ 20,101 |
$ 49,722 |
3 |
$ 92,072 |
$ 18,457 |
$ 21,698 |
$ 51,916 |
4 |
$ 96,488 |
$ 18,889 |
$ 23,332 |
$ 54,267 |
5 |
$ 101,116 |
$ 19,331 |
$ 25,044 |
$ 56,740 |
6 |
$ 105,966 |
$ 19,784 |
$ 26,839 |
$ 59,343 |
7 |
$ 111,048 |
$ 20,247 |
$ 28,719 |
$ 62,082 |
8 |
$ 116,374 |
$ 20,720 |
$ 30,690 |
$ 64,964 |
9 |
$ 121,956 |
$ 21,205 |
$ 32,755 |
$ 67,995 |
Adequate calculations are conducted regarding the mortgage payment condition of the client if interest rates increased from 3.65% to 7%. Further from the valuation it is detected that during the fourth year after purchasing the property the interest rate will increase to 7%, which will increase the mortgage payment from $37,701 to $72.302. However, there is no problems which could be seen in paying the mortgage of the house after increment interest rates. Hence, it could be identified that the client could effectively support the high interest rates at the savings conducted on yearly basis (Gurran & Bramley, 2017).
7). The main problems that could be identified from the drafted plan is destinations that is conducted on behalf of the client. The relevant estimation such as the income of the client will eventually increase and there will be no problems related to her job. Therefore, any kind of economic crisis would eventually hamper the credibility of the client to sustain a job which is an essential part of the financial plan to support her Austrian dream (Hulse & Yates, 2017). Moreover, the changes and economic conditions, government policies and interest rates on Bank would eventually hamper the actual financial capability of the clients to support the mortgage payments. In these scenarios, the overall grafted portfolio would not be effective and not allow the client to successfully fulfil her Australian dream.
Reference:
Abs.gov.au. (2018). Ato.gov.au. Retrieved 20 May 2018, from https://www.ato.gov.au/calculators-and-tools/simple-tax-calculator/
Baker, E., & Lester, L. (2017). Multiple housing problems: A view through the housing niche lens. Cities, 62, 146-151.
Baur, D. G., & Heaney, R. (2017). Bubbles in the Australian housing market. Pacific-Basin Finance Journal, 44, 113-126.
Chia, W. M., Li, M., & Zheng, H. (2017). Behavioral heterogeneity in the Australian housing market. Applied Economics, 49(9), 872-885.
Gurran, N., & Bramley, G. (2017). Urban planning and the housing market: international perspectives for policy and practice. Springer.
Hulse, K., & Yates, J. (2017). A private rental sector paradox: unpacking the effects of urban restructuring on housing market dynamics. Housing studies, 32(3), 253-270.
Leal, H., Parsons, S., White, G., & Zurawski, A. (2017). Housing Market Turnover. RBA Bulletin, March, 21-30.
Lee, C. L. (2017). An examination of the risk-return relation in the Australian housing market. International Journal of Housing Markets and Analysis, 10(3), 431-449.
Li, T., Dodson, J., & Sipe, N. (2017). Examining household relocation pressures from rising transport and housing costs–An Australian case study. Transport Policy.
Manzi, T., & Darcy, M. (2017). Organisational research: conflict and power within UK and Australian social housing organisations. In Social constructionism in housing research(pp. 142-158). Routledge.
Mee, K. J. (2017). Necessary welfare measure or policy failure: media reports of public housing in Sydney in the 1990s. In Social constructionism in housing research (pp. 117-141). Routledge.
Pettit, C., Tice, A., & Randolph, B. (2017). Using an online spatial analytics workbench for understanding housing affordability in Sydney. In Seeing Cities Through Big Data (pp. 233-255). Springer, Cham.
Stampduty.calculatorsaustralia.com.au. (2014). Stamp Duty Calculator. Retrieved 20 May 2018, from https://stampduty.calculatorsaustralia.com.au/
Thomson, G., Newton, P., & Newman, P. (2017). Urban regeneration and urban fabrics in Australian cities. Journal of Urban Regeneration & Renewal, 10(2), 169-190.
Valadkhani, A., & Smyth, R. (2017). Self-exciting effects of house prices on unit prices in Australian capital cities. Urban Studies, 54(10), 2376-2394.
Wood, G. A., & Ong, R. (2017). The Australian housing system: a quiet revolution?. Australian Economic Review, 50(2), 197-204.
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