Financial Planning For Home Purchase: Income Forecast, Nett Income, Property Affordability

Investigating historical income data for Sydney or Melbourne

1).

With the help of above figure relevant future property price of Sydney housing could be identified, which might help in drafting the overall financial plan. This would eventually help in detecting the level of savings, which is needed by the client for supporting its Austrian dream. The future prices is mainly calculated with the help of averages, where the three year average price of the property is used to detect the level of price changes incurred in the property price. This detection of the price change would directly have an impact on the future prices, which is essential in understanding the level of savings and property value, which could be detected in future (Baur & Heaney, 2017).

2).

Year Save Time On Research and Writing Hire a Pro to Write You a 100% Plagiarism-Free Paper. Get My Paper	Weekly Income	Yearly Income	Three Year Average	Price change
1994–95	$ 642	$ 33,384
1995–96	$ 626	$ 32,552
1996–97	$ 648	$ 33,696	33,211
1997–98	$ 664	$ 34,528	33,592	1.15%
1999–2000	$ 692	$ 35,984	34,736	3.41%
2000–01	$ 709	$ 36,868	35,793	3.04%
2002–03	$ 726	$ 37,752	36,868	3.00%
2003–04(a)	$ 806	$ 41,912	38,844	5.36%
2005–06(a)	$ 870	$ 45,240	41,635	7.18%
2007–08(a)	$ 994	$ 51,688	46,280	11.16%
2009–10(a)	$ 981	$ 51,012	49,313	6.55%
2011–12(a)	$ 1,015	$ 52,780	51,827	5.10%
2013–14(a)	$ 1,046	$ 54,392	52,728	1.74%
2015–16(a)	$ 1,070	$ 55,640	54,271	2.93%
			Average	4.60%

The evaluation of above graph helps in understanding the level of income growth which will incur by the client in 20 years’ time. The income growth calculation is mainly valued with the help of average valuation, which is obtained by the salaried persons in Sydney. Therefore, the calculation is mainly conducted with the help of previous 20 years of income that is generated by salaried person in Sydney, which could help in understanding the level of income. The income of client is anticipated to increase from $80,000 to 196,720 in 20 years’ time, which will be helpful in drafting the financial plan. This financial plan would eventually help in understanding the level of income and savings that needs to be conducted by the client for supporting her Australian dream (Chia, Li & Zheng, 2017).

3).

Particulars	Monthly	Yearly
Salary	$ 6,666.67	$ 80,000.00
Expenses on Amenities	$ 1,320.00	$ 15,840.00
Expenses on rent	$ 680.00	$ 8,160.00
Total expense	$ 2,000.00	$ 24,000.00
Tax		$17,547.00
Savings	$ 3,204.42	$ 38,453.00

Particulars	Value
Max LVR	80%
Property Value	$ 442,265.00
Loan From Bank	$ 353,812.00
Deposit to bank	$ 88,453.00

The calculation relevantly helps in understanding the level of monthly savings and maxim amount of bank loan, which could be obtained by the client in the current situation. The calculation relevantly indicates that the client is savings up to $3,204.42 in monthly basis, while the amount $38,453 is saved on yearly basis. The derivation of the overall savings is conducted by deducting all the relevant expense and tax that is being paid by the client on yearly basis (Cho, Li & Uren, 2017). This would eventually help in understanding the level mortgage payment that could be accumulated by the client and the minimum amount of property, which could be bought with a LVR of 80%.

Calculating nett income and monthly repayment capacity

4).

Particulars (Without Insurance premium)	Value
Max LVR	80%
Property Value	$ 440,877.00
Loan From Bank	$ 352,701.60
Deposit to bank	$ 88,175.40
Stamp Duty	$ 277.60

Max LVR	99%
Property Value	$ 985,000.00
Loan From Bank	$ 974,120.00
Deposit to bank	$ 10,880.00
Stamp Duty	$ 39,815.00
Insurance Premium	$ 37,758.00

The calculation conducted on the above tables relevantly helps in drafting an adequate financial plan for the client, where mortgage loan is with and without the insurance pre. Under the insurance premium method, individuals can accumulate high end LVR mortgages, which could reduce the overall deposit amount. Therefore, from the evaluation it could be identified that without the insurance premium the client could only purchase property of $440,877, while using the insurance premium the property value increases to $985,000. The evaluation of the calculation relevantly indicates that without the insurance premium the overall LVR is at the level of 80%, while it increases to a max of 99% if insurance premium is included in the loan process (Easthope, Stone & Cheshire, 2017).

5).

Year	Property price	Savings Target	20% upfront	Stamp duty	Difference
0	$ 977,500	$ 88,453	$ 195,500	$ 41,868	$ (148,915)
1	$ 1,031,880	$ 128,830	$ 206,376	$ 41,674	$ (119,220)
2	$ 1,089,286	$ 171,231	$ 217,857	$ 43,993	$ (90,619)
3	$ 1,149,885	$ 215,557	$ 229,977	$ 46,440	$ (60,860)
4	$ 1,213,855	$ 261,936	$ 242,771	$ 49,024	$ (29,858)
5	$ 1,281,385	$ 310,475	$ 256,277	$ 51,751	$ 2,448
6	$ 1,352,671	$ 361,288	$ 270,534	$ 54,630	$ 36,124
7	$ 1,427,922	$ 414,494	$ 285,584	$ 57,669	$ 71,241
8	$ 1,507,361	$ 470,217	$ 301,472	$ 60,877	$ 107,868
9	$ 1,591,218	$ 528,588	$ 318,244	$ 64,264	$ 146,080
10	$ 1,679,741	$ 589,744	$ 335,948	$ 67,839	$ 185,957
11	$ 1,773,188	$ 653,830	$ 354,638	$ 71,613	$ 227,579
12	$ 1,871,834	$ 720,995	$ 374,367	$ 75,597	$ 271,031
13	$ 1,975,968	$ 791,398	$ 395,194	$ 79,803	$ 316,402
14	$ 2,085,895	$ 865,205	$ 417,179	$ 84,242	$ 363,783
15	$ 2,201,938	$ 942,589	$ 440,388	$ 88,929	$ 413,272
16	$ 2,324,436	$ 1,023,733	$ 464,887	$ 93,876	$ 464,969
17	$ 2,453,749	$ 1,108,827	$ 490,750	$ 99,099	$ 518,979
18	$ 2,590,256	$ 1,198,073	$ 518,051	$ 104,612	$ 575,410
19	$ 2,734,357	$ 1,291,679	$ 546,871	$ 110,432	$ 634,376
20	$ 2,886,475	$ 1,389,865	$ 577,295	$ 116,575	$ 695,995

Year	Property price	Savings Target	5% upfront	Insurance premium	Stamp duty	Amount
0	$ 977,500	$ 88,453	$ 48,875	$ 37,532	$ 41,868	$ (39,822)
1	$ 1,031,880	$ 128,830	$ 51,594	$ 39,620	$ 41,674	$ (4,058)
2	$ 1,089,286	$ 171,231	$ 54,464	$ 41,824	$ 43,993	$ 30,950
3	$ 1,149,885	$ 215,557	$ 57,494	$ 44,151	$ 46,440	$ 67,472
4	$ 1,213,855	$ 261,936	$ 60,693	$ 46,607	$ 49,024	$ 105,613
5	$ 1,281,385	$ 310,475	$ 64,069	$ 49,200	$ 51,751	$ 145,455
6	$ 1,352,671	$ 361,288	$ 67,634	$ 51,937	$ 54,630	$ 187,088
7	$ 1,427,922	$ 414,494	$ 71,396	$ 54,826	$ 57,669	$ 230,603
8	$ 1,507,361	$ 470,217	$ 75,368	$ 57,876	$ 60,877	$ 276,095
9	$ 1,591,218	$ 528,588	$ 79,561	$ 61,096	$ 64,264	$ 323,667
10	$ 1,679,741	$ 589,744	$ 83,987	$ 64,495	$ 67,839	$ 373,423

The above calculation relevantly indicates two type of loan process, which could be used by the client, where 20% and 8% upfront payment needs to be conducted. From the valuation it could be identified that with the upfront payment of 20% the client could buy the house within 5^th year, while using the 5% upfront payment reduction in property purchase time could be seen to the level of year 2. In addition, from the valuation it could be detected that the upfront payment of 20% calculation does not include any kind of insurance premium. On the other hand, the calculation of 5% upfront payment mainly has an expense of insurance, which needs to be conducted for minimising any kind of risk involved in investment. This has allowed the client to purchase the property quickly without waiting to accumulate the required savings for supporting her purchase of house (Gurran, & Bramley, 2017).

6).

	Property value	$ 1,089,286
	Loan amount	$ 1,034,822
Year	Interest rate	Mortgage Payment	Saved	Savings
3	3.42%	$35,391	$ 84,023	$ 48,632
4	3.42%	$35,391	$ 103,962	$68,571
5	3.42%	$35,391	$ 126,270	$90,880
6	7.00%	$72,438	$ 151,067	$78,630

The above valuation mainly helps in understanding the level of mortgage payment that needs to be conducted by the client after purchasing the property. In addition, the negative impact on the rising interest payment on the mortgage payment condition of the client is also evaluated. From the valuation, the financial capability of the client is mainly detected, which could help in understanding her level of supporting the interest increment from 3.42% to 7% in 4^th year of loan. The client could effectively support the rising interest rate, as her savings and income are adequate for supporting the mortgage payments (Hulse & Yates, 2017).

7).

The financial plan mainly indicates a positive attribute of the client, which could help in supporting her Australian dream. However, from the valuation it could be detected that any kind of adverse action in her income would directly have a negative impact on her capability to support the Sydney house. Any kind of problems related to the change in government policy would also have negative impact on savings capability of the client, which would directly impact her mortgage payment capability. Regardless of the drawback the overall financial plan would be effective for the client in allowing her to achieve the Australian dream.

Reference:

Abs.gov.au. (2018). Ato.gov.au. Retrieved 29 May 2018, from https://www.ato.gov.au/calculators-and-tools/simple-tax-calculator/

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Chia, W. M., Li, M., & Zheng, H. (2017). Behavioral heterogeneity in the Australian housing market. Applied Economics, 49(9), 872-885.

Cho, Y., Li, S. M., & Uren, L. (2017). Negative Gearing and Welfare: A Quantitative Study for the Australian Housing Market.

Easthope, H., Stone, W., & Cheshire, L. (2017). The decline of ‘advantageous disadvantage’in gateway suburbs in Australia: The challenge of private housing market settlement for newly arrived migrants. Urban Studies, 0042098017700791.

Gurran, N., & Bramley, G. (2017). Relationships Between Planning and the Housing Market. In Urban Planning and the Housing Market (pp. 85-120). Palgrave Macmillan, London.

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.

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Stampduty.calculatorsaustralia.com.au. (2014). Stamp Duty Calculator. Retrieved 29 May 2018, from https://stampduty.calculatorsaustralia.com.au/

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