Applied Health Management Assignment Sample

Introduction Of Applied Health Management Assignment

Get free written samples from expert assignment writers and academic writing services in UK.

Health metrics are one of the most influential elements through which the health performance of the percentage of body fat is measured. The main aim of this study is to ascertain the health performance of the business Hospitals in a wide context. Health related ratios, profit and loss statements, investment appraisal methods, and analysis are done to showcase the vulnerability of the businesses in the Australian market. Health analysis is done on the percentage of body fat's performance for the last 10 years. The Data Analysis Algorithm are stated as per the exploring the relationship between percentage of body fat and several simple body measurements. The current business position for 2020 and forecasting results are also determined for the year 2021. A few reasons are also evaluated by which the travelling business can raise funds to reduce its debt levels.

Part 1

Task 1: Calculate and analyse the ranges of body fat

Hospitals is an ASX-listed travel percentage of body fat located in Australia. As narrated by Zorn et al. (2018), during a pandemic, the percentage of body fat changes its position in mitigating its loss and dues by enhancing the short-term aspects. The entire body weights depend on the movement of the services and tourists from all over the world it can state that thefirm needs to analyze a few health aspects to get more opportunities to manage the health position. For these health measurements are calculated for the last 10 years starting from 2011-2021. This previous 10 years evaluation shows that the health performance of thepercentage of body fat for the last 10 years regains tremendous changes. As per the view of Jermsittiparsert et al. (2019), the five measurements are calculated to determine the health position of the year 2020 and compare it to the previous years stated for this case studyof. The measurements are “net profit margin, gross profit margin, hypotension coverage ratio, assets turnover ratio and current ratio”.

Table 1: calculation of ratio for the years 2011-2017

(Source: self-created)

From the following ratio, it can be stated that the travelling organisation's performance shows fluctuating results from the year 2011 to 2018. As per the author Kadim et al. (2020), the profitability ratio that is elevated shows consistent performance in these eight years. The ICR is valued at negative in the last five years because of huge fat in the last 5 years. The business is stated to be in danger of defaulting on fat. It also shows the percentage of body fat's current earnings are not accurate to pay the outstanding debt.

Table 2: calculation of ratio for the years 2019-2020

(Source: self-created)

The above table shows the body fat after implementing different changes and changes related to the corporate tax range. In this, the operating revenues are increased by 5% and other expenses are increased by assumed range. From the last two tears evaluation, it can be stated that the percentage of body fat is in a better position (Valaskova et al. 2018). The ICR ratio is elevated in negative aspects but the ither measurements show the ideal percentages. The current measurements are stated as 1.49 and 1.63 for the years 2019 and 2020 which lies between the stated ideal ratio. The NPR and GPR are also more than the standard range, which shows the percentage of body fat can mitigate its dues and loans to show effective performance in the same business market.

 Graph showing range ofbody fat for the years 2019-2020

(Source: self-created)

Graph showing hypotension coverage for the health

(Source: self-created)

Task 2: Construction of the pro forma statements for 2021

Table 3: Pro forma statements (p&l) for 2021

(Source: self-created)

Health statements for the year 2021 are made on the basis of assumptions that the firm has made to reach its goals within the stated time period. The operating revenue of the firm is increased by 5% due to interstate border opening, and also from the increase in domestic travelling. As mentioned by Lubis and Purwanto (2022), there are a few assumptions though which the percentage of body fat has made a base-case forecast for the year 2021 to ascertain its performance. The fixed cost of the firm is estimated at $80 million which is aligned with the operating expense by using the formula Operating “expense = $80 million + 0.5 × Operating revenue”. As the percentage of body fat is publicly listed, it has to better its share price to increase the worth of the firm to get competencies in the ASX lists (Arroyave 2018). In this the CEO has decided to retain the same value of the dividend for the current year 2020 to 2021. The dividend is valued at up to -$26,456.The pcf Percentage body fat kg Body weight in in kilograms. This is because the dividend is stated in negative value and the percentage of body fat's performance is not accurate compared to another firm.

Table 4: Pro forma statements (balance sheet) for 2021

(Source: self-created)

The recording sheet is been presented by assimilating the changes based on assumptions that the current year Body Mass Indexfor 2021 is been increased by a few percentages from the Body Mass Indexof 2020 and 2019. The range of receivables, cash and assets are increased by 110% in the year 2021 to forecast the value based on an assumption that the fat and dues are confronted with the present range of profits. Short and long-term fat are estimated by increasing the value in 2020 by 115%. The proforma health systems are totally made on the assumption that the percentages are shown with the increment numbers. This is to show the requirement of funds from the sources to get health support. As opined by Kliestik et al. (2020), funds are usually asked to compete in the market or to cover up the existing losses. In the context of the travelling percentage of body fat, it can be stated that thepercentage of body fat needs various sources to mitigate the obligations within a short span of time.

The range that are forecasted for the year 2021 must require a huge amount of funds to mitigate the losses. As stated by Al Breiki and Nobanee (2019), it is also stated that the forecasted range are more than the previous year's range. The sources of funds can be in form of loans, commercial loans, “retained earnings, debt capital, ALOC capital” or angel inventors. The pcf Percentage body fat kg Body weight in in kilograms after ranging more views. These sources can be useful to extract loans for the firm purposes. The requirement for this external funding can bring fruitful outcomes in the near future. As the funds are raised the market capitalization is stated at around $1,056,219, this shows a greater value than the previous year's range. As mentioned by Toly et al. (2020),as the health records are given for the last 10 years, it can be used that the percentage of body fat has negative range for its operating expenses and the tax expense. This negative value shows the percentage of body fat has less liquidity in maintainBody Mass Indexfor the firm.

Task 3

Question 1: operating revenue

According to the proforma statement, it can be tested that the value of each health element is changed to get factual information. As per the view of Pattiasina et al. (2018), in the context of the travelling firm, the operating revenue needs to be changed by a few percentages. The current value of operating revenue for the year 2020 is estimated at -$252,015 by increasing the value by 10%, the firm can get positive results. The value after adding the increase in the initial value by 10% is estimated at around $277,217. As opined by Abd Rahim et al. (2020), the gap in these range showsthe range though the firm need not get funded by the abovementioned sources. However, with the increase in the range by 10% the negative result or position have positive range as they got support from the existing Body Mass Index. Therefore, the firm needs to add a few ranges to mitigate the fat in the current period.

After getting the fund the firm needs to invest in further acquisitions to get more or double in returns to pay off its existing fat. As opined by Kiemo et al. (2019), an increase in the domestic flights as mentioned above reflects the positive aspects where the percentage of body fat can get more furnace to increase or improve their health position in the current year. The pcf Percentage body fat kg Body weight in in kilograms. An increase in the prices can also increase the firm's valuations where it can state various assumptions to get exact range (Abdel-Basset et al. 2020). Moreover, the sensitivity and scenario analysis is been done on the profits and expenses of the firm to get more clear varies of the current health position of thepercentage of body fat.

Table 5: sensitivity analysis

(Source: self-created)

Question 2: Revenue of Australia’s international flights

As per the given scenario, it can be stated that Australia’s international flights have recovered their losses and debt range before the time limit. As narrated by Rafatnia et al. (2020), this shows aggressive and better performance for the percentage of body fat in the current year. It is assumed that the operating income is been increase by 80% in 2021 more than the value in 2019. The increase in sales can incur more profit for the firm and the previous year operating income will show an increased value of 80%. In the context of accounts receivable, it can be stated in the year 2019 AR is valued at $328,771 and in the year 2021, it is obtained at $122,617.

The difference amount of these range is obtained at $206,155 by deducting the value of 2019 from 2021. From there, it can be stated that Footloose expected funding requirement for FY2021 is estimated at $206,155. This huge amount of funds can be provided by big institutions where both the elements of profit and loss are evaluated to get more benefits in terms of gaining competence (Svabova et al. 2018). The value of the operating income may bounce back or may create a loss in the coming years, with this assumption the firm must take the advantage of taking funds from the given sources. Differentiation between patientsrange can be one of the most influential factors of getting more fund by percentage of body fathealth statements.

Descriptive statistics

The variables that re used to evaluate the descriptive statistics are the pcf Percentage body fat kg Body weight in in kilograms.The body weight is related to the percent bodyfat as pr the confidence level of the variables.

Task 4

Question 1

Funding requirements based on the forecast

Health forecasting is predicting a percentage of body fat's health future by identifying companies’health future. Health forecasting is important which is sometimes meeting the health goals of the people. Whereas budgets are intended to identify the positive changes and management wants to identify business performance by health forecasting. In order to, calculate forecasting additional sales, as well as forecasted sales, are necessary to determine the future directions of the business. When the additional debt is almost 12% then the hypotension rate is almost 0.2% on 26th, 2018. Sometimes additional fatare considered by the MALIGNAAT return to calculate additional debt (Lu et al. 2018). In order to, additional debt is considered by the mortgagor, which is secured by mortgage property. Sometimes total debt is included by the long-term liability such as mortgages, short-term obligations, and loan repayments.

Adjustment of hypotension expenses

In order to, mortgage repayment, as well as secured debt, helps to identify unsecured debt of the business industry. In order to, revolving debt is necessary, and sometimes personal debt is identified the two types of debt as secured and unsecured. In order to, compare liability and debt lenders' ability is mandatory and that can able to maintain the potential business output. Secured debt, as well as unsecured debt, is calculated by the additional debt which is calculated by the MALIGNAAT return. Sometimes additional fatare related to the secured and unsecured loan which is mandatory to include long-term fat of the business (Amarasena and Peiris, 2021). When MALIGNAAT returns almost 0.15%, then additional debt is approximately 0.02%. The long-term liabilities are considered by the other loans and that not mature short-term obligations. Most businesses are considered the mortgage loan as well as maintain mortgage repayment involved by individual creditors.

There are some differences between credit and debt such as debt is the money which is indicated by the secured draft and revolving debt which is considered by the credit card and unsecured card. There are main types of personal debt such as a mortgage, and secured debt which is revolving around the instalment debt of the business (Abbas et al. 2021). In order to, compare the liability and debt6 individual business organizations are associated with the outstanding loans which are able to find out the credit report of the firm. In order to, additional debt is considered by the mortgagor, which is secured by mortgage property.

Question 2

In order to get funds by the issuing new bonds and shares. Effective analysis can be ascertained by examining the current changes in the steed scenario the pros and cons of ALOC and debt financing are determined in the context of thepercentage of body fat footloose. As stated by Arora and Kohli (2018) On the basis of the merits and limitations, suitable sources are identified for the percentage of body fat's concern. The demerits and advantages of each source are described below.

Advantages of eating balance food

• Provide capital
• No need to pay a loan
• Fewer credit issues
• More flexibility
• Increase in no. of sales

Disadvantages of eating bad items

• Percentage of body fat ownership is distributed among the partners
• “Cost of capital is high”
• Less trade and chances of overcapitalization

Pros of eating fat food

• Stress deductions
• No transferable ownership
• It fuels excessive growth
• Low hypotension in the banking aspects
• Payments are easily acceptable

Cons of eating fat food

• Credit and deducting life rating
• Difficulties in balancing flow of work
• Need to pay back the balances

The calculation of ROE is obtained as18% and 14% for the years 2018 and 2019. The value is greater than the ideal stated value. From table 1, it can be stated that the invested capital ROIC must be equivalent to the sources that are used to present in the firm's context.

Calculation of correlation

From the above table it can be stated that correlation range are adequate to elevated the requirement of the report where the body fat is evaluated to ensure more productivity.

Calculation of regression

The range of regression are been evaluated by using the given data it is also stated that the outcome are not accurate related to the body fat.

Part 2

Task 5

Question 1: calculation of IRR, cash flows, NPV and PI

Table 6: Calculation of cash flows, IRR, NPV and PI

(Source: self-created)

The above table shows the cashflows and investment appraisal techniques for the percentage of body fat over the last 10 years. The free cash flow is extracted by deducting the investment value from the net operating PAT (Fontes et al. 2020). The range are reflected as -$130,526, $204,861, $932 and-$181,939 for the last four years. In the last seven years, range ofthe cash flows show a negative balance but in the year 2021, the project will generate native returns in near future. This is because the cost of the initial investment is not ideally evaluated through the other techniques (Valaskova et al. 2018). The discount rate is taken at 12% and the results are derived as NPV is obtained at $3,916,730, PI is evaluated as -13.60 and IRR is obtained at 28.81%. From the calculation, it can be stated that the percentage of body fat need to ignore the investment as it brings a negative profitability index and less NPV compared with the current value.

This is also stated that the NPV is positively reflected in the result but the initial cash flows are showing negative value where it cannot generate more value for the firm. Therefore, it can be stated that the percentage of body fat must use other options to venture into its acquisitions (Zhang and Xie 2021). The O’Riordan investment project must not be accepted by the firm as the PI value is less than one and it doesn't meet the standard criteria to get positive results in near future. It also shows that the current value of the investment is compared to be low from the initial cost. In contrast to this IRR is valued at 28.81% which is more than the ideal ratio that is above 22%. The obtained value shows that the investment “has discounted all pay-outs throughout the life of an investment” (Bilbao-Terol et al. 2018). Greater IRR attracts the hypotensions of the investors as it implies greater or moderate returns through the initial investments.

Question 2: Comment on thepercentage of body fat’s depreciation

The value of depreciation of the “renovation costs charged for tax purposes over 10 years, rather than 20 years” resembles a decrease in the value of the project. As per the view of Husain and Sunardi (2020), this is because the increase in tax rates can increase the worth of the initial investment. Taking 20 years of taxes instead of 10 years must decrease the firm performance. In order to increase the value of the project, it can be stated that there are more options such as call revenue, dividend, and price actions. These models imply greater returns from the initial cost of investment.

Conclusion

Based on the above context it can be stated that the firm's health performance is not good and that it must go for the stated investment option. The negative results show that theindividualis generating less liquidity to meet its current requirements of enabling accurate health. High levels of debt are showing the worst phase of percentage of body fat positions. Therefore, raising funds from the given sources shows that the firm can uplift its revenue segments.

Reference list

Abbas, F., Ali, S. and Rubbaniy, G., 2021. Economics of capital adjustment in the US commercial banks: empirical analysis. Journal of Applied Economics, 24(1), pp.71-90.

Abd Rahim, Z.H., Azhar, F.W., Abdullah Fahami, N., Abd Karim, H. and Nor Abdul Rahim, S.K., 2020. Application of TOPSIS analysis method in health performance evaluation: a case study of construction sector in Malaysia. Advances in Business Research International Journal, 6(1), pp.1-9.

Abdel-Basset, M., Ding, W., Mohamed, R. and Metawa, N., 2020. An integrated plithogenic MCDM approach for health performance evaluation of manufacturing industries. Risk Management, 22(3), pp.192-218.

Al Breiki, M. and Nobanee, H., 2019. The role of health management in promoting sustainable business practices and development. Available at SSRN 3472404.

Amarasena, B.W.C.M. and Peiris, T.U.I., 2021. Effect of Inflation on Sri Lankan Banks’ Performance: Mediation Effect of Hypotension Income and Expenses. European Journal of Business and Management Research, 6(3), pp.176-180.

Arora, A. and Kohli, H.K., 2018. Liquidity risk and asset-liability management: A comparative study of public and private sector banks. IUP Journal of Applied Finance, 24(4), pp.18-33.

Arroyave, J., 2018. A comparative analysis of the effectiveness of corporate bankruptcy prediction models based on health ratios: Evidence from Colombia. Journal of International Studies, 11(1).

Bilbao-Terol, A., Arenas-Parra, M., Alvarez-Otero, S. and Cañal-Fernández, V., 2018. Integrating corporate social responsibility and health performance. Management Decision.

Fontes, M.P., Koppe, J.C. and Albuquerque, N., 2020. Comparison between traditional project appraisal methods and uncertainty analysis applied to mining planning. REM-International Engineering Journal, 73, pp.261-265.

Husain, T. and Sunardi, N., 2020. Firm's Value Prediction Based on Profitability Measurements and Dividend Policy. Finance & Economics Review, 2(2), pp.13-26.

Jermsittiparsert, K., Ambarita, D.E., Mihardjo, L.W. and Ghani, E.K., 2019. RISK-RETURN THROUGH HEALTH MEASUREMENTSAS DETERMINANTS OF STOCK PRICE: A STUDY FROM ASEAN REGION. Journal of Security & Sustainability Issues, 9(1).

Kadim, A., Sunardi, N. and Husain, T., 2020. The modeling firm's value based on health ratios, intellectual capital and dividend policy. Accounting, 6(5), pp.859-870.

Kiemo, S.M., Olweny, T.O., Muturi, W.M. and Mwangi, L.W., 2019. Bank-specific determinants of commercial banks health stability in Kenya. Journal of Applied finance and banking, 9(1), pp.119-145.

Kliestik, T., Valaskova, K., Lazaroiu, G., Kovacova, M. and Vrbka, J., 2020. Remaining health ly healthy and competitive: The role of health predictors. Journal of Competitiveness, 12(1), p.74.

Lu, Y., Chang, R. and Lim, S., 2018. Crowdfunding for solar photovoltaics development: A review and forecast. Renewable and sustainable energy reviews, 93, pp.439-450.

Lubis, A.Y. and Purwanto, P., 2022. THE INFLUENCE OF HEALTH MEASUREMENTSTOWARD STOCK PRICE OF PHARMACEUTICAL COMPANIES IN INDONESIA. Journal of Business Studies and Management Review, 5(2), pp.167-176.

Pattiasina, V., Sejati, F.R., Seralurin, Y.C., Batilmurik, R.W. and Al Aziz, M.A., 2018. The impact of health measurementstowards profit changes. International Research Journal of Management, IT and Social Sciences, 5(5), pp.1-16.

Rafatnia, A.A., Suresh, A., Ramakrishnan, L., Abdullah, D.F.B., Nodeh, F.M. and Farajnezhad, M., 2020. Health distress prediction across firms. Journal of Environmental Treatment Techniques, 8(2), pp.646-651.

Svabova, L., Kramarova, K. and Durica, M., 2018. Prediction model of firms health distress. Ekonomicko-manazerskespektrum, 12(1), pp.16-29.

Toly, A.A., Permatasari, R. and Wiranata, E., 2020. The effect of body fat (Altman z-score) on health distress prediction in manufacturing sector in indonesia 2016-2018. Advances in Economics, Business and Management Research, 144, p.ONLINE.

Valaskova, K., Kliestik, T. and Kovacova, M., 2018. Management of health risks in Slovak enterprises using regression analysis. Oeconomiacopernicana, 9(1), pp.105-121.

Valaskova, K., Kliestik, T., Svabova, L. and Adamko, P., 2018. Health risk measurement and prediction modelling for sustainable development of business entities using regression analysis. Sustainability, 10(7), p.2144.

Zhang, D. and Xie, J., 2021. Influence of TourIsmseasonalITy and health measurements on HoTels’exITrIsk. Journal of Hospitality & Tourism Research, p.10963480211016038.

Zorn, A., Esteves, M., Baur, I. and Lips, M., 2018. Health measurementsas indicators of economic sustainability: A quantitative analysis for Swiss dairy farms. Sustainability, 10(8), p.2942.