Critical Analysis Of General Purpose Financial Reporting By Australian ASX Top 100 Corporations

Analysis of the case

These refers to the annual reports and books of accounts for Australia and New Zealand Banking Group Limited (the Company) along with its managed bodies (altogether, ‘the Group’ or ‘ANZ’) for the period ended 30/09/2017. The body is established as well as setup within Australia. The location related to the registered office of the Company and the prime location of trade is the “ANZ Centre, 833 Collins Street, Docklands, Victoria, Australia 3008”. By the date 2nd November 2017, the board of directors took a resolution in order to certify the problems of these books of accounts and annual reports (Erik & Jan, 2017). By 2017, we evaluated the details and framework relating to the annual reports having the target for enhancing the reliability upon shareholders. The said analysis now lead to a quantum of alterations within the annual reports starting by the prior periods that is inclusive of:

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For drafting the annual reports of the organisation, as well as to exclude them within the financial report relating to the group.

  • re-managing the disclosures into parts with general topics that are tilted with the way they run the business;
  • data regarding the Group’s recognition and computation norms and essential views and estimations has been moved and by currently shown among important notes within the books of accounts;
  • eliminating non-material declaration; as well as
  • To sum up previous period count in few statements(Goldmann, 2016).

Data in the books of accounts stays inclusive strictly within the limit it is being thought and important to the knowledge of the annual books of accounts. The statement has known to be bigger and important in case like illustrations:

  • That money worth is bigger in quantity (quantum element);
  • That money worth is bigger by quality (quantum element);
  • That person could not know the outcome of the Group, excluding its exact declaration (abstract element);
  • That data becomes essential for a person knowledge as the outcome of bigger alternations within the business of the Group within the term– as an example:

Acquisitions of Business or Sale (qualitative factor);

  • The data is in relation to a feature of the operations of the Group which is essential in its coming production (the abstract element); also
  • This data becomes essential within norms needs related to the Corporations Act 2001, the Banking Act 1959 (Cth) or by the Group’s principal.

The authorities, that is inclusive with the Australian Securities and Investments Commission (ASIC) and the Australian Prudential Regulation Authority (APRA) (Alexander, 2016).

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This said part of books of accounts:

  • shows the ground on which the financial statements of the Group have been drafted; and
  • shows any latest standards of accounting or norms that clearly effects the books of accounts on disclosure needs.

The accounting data have been drafted based on past cost ground – excluding below stated properties as well as responsibilities that is recorded on the actual worth:

  • The accounting tools of the derivative along the instances where the actual worth encircling, the actual worth set off has been made upon its related protected subjection;
  • Ready-to-sold of properties of finance(Grenier, 2017);
  • Those instruments of finance that is kept on hold for trade purposes;
  • Remaining financial properties and responsibilities assigned at the fair value via income and loss; and
  • few rest properties and responsibilities kept on hold for selling purpose in place when the real worth minus disposal cost becomes lower than the present worth (excluding for few properties and responsibilities hold for selling that are free from this need)(Farmer, 2018).

As per the AASB 1038 Life Insurance Contracts (AASB 1038), it is being computed that the life insurance dues are utilizing the margin on Services (MOs) model.

As per the AASB 119 Employee Benefits, it is being computed and explained the advantage of liabilities utilizing the expected Unit Credit Method (Belton, 2017).

The auditor’s report shows that the audited Annual Report regarding the Australia as well as New Zealand Banking Group Limited along with the the bodies that is monitored within the end period and from period and period within tenure of the accounting year (altogether, the Group).

As per the perception, by assisting Annual Report regarding the Group is according the Corporations Act 2001 that is inclusive of:

  • showing a correct and honest perception related to the financial status of the Group as on 30th September 2017 also relating to the economic presentation within period ending by the said date; • adhering to the Australian Accounting Standards and the Corporations Regulations 2001(Das, 2017).

The Annual Report consists:

  • Combined books of accounts of economic status on the 30/09/2017;
  • Combined P/L A/C Statement, combined statement of all earnings, combined sheet of alterations in capital, and combined statement of inflows and outflows of cash for the period then ended;
  • And the declaration of Directors(Jefferson, 2017).

                           

Grounds of Computation

It can be that the there is a considerably higher return of cash profit from 2016 to 2017. The percentage increase of 18%. The expenses have been decreased and the income has almost reached until last year, however the income is still less. We can say that the profitability of the organization has increased and being kept on the increasing graphical curve (Trieu, 2017).

The application of financial tools, becomes a primary basis to the businesses Group of delivering banking and rest financial assistance to the consumers. The related risks in finance (the debt, market, and cash chances) are a higher amount of the Group’s actual possibilities (Choy, 2018). We show the explanations related to entire principal risks that has affected its Group, also extra data on the Group’s possibilities managing services, in governing it and the Management section of Risk. This show the explanations of the Group’s financial risk managing norms, ways and count of explanations that is related with the important finance chances:

Principle financial risks applied to the bank

Important elements and an vision of the RMF

Credit risk: Credit risk is the risk of financial loss from a customer, or counterparty, failing to meet their financial obligations.

Market risk: Market possibilities is the risk of loss arising from potential adverse changes in the value of the Group’s assets and liabilities and other trading positions from fluctuations in market variables.

Liquidity and funding risk: Liquidity risk is the risk that the Group is unable to meet its payment obligations when they fall due; or does not have the appropriate amount, tenor and composition of funding and liquidity to fund increases in its assets (Sithole, et al., 2017).

Credit risk overview, management and control responsibilities

• Maximum exposure to Debt risk

• Debt abstact

• Concentrations of Debt risk

• Collateral management

Market risk overview, management and control responsibilities

• Measurement of market risk

• Traded and Non-traded market risk

• Equity securities classified as Available-for-sale • Foreign currency risk – structural exposures

Liquidity risk overview, management and control responsibilities

• Key areas of measurement for liquidity risk

• Funding position

• Residual contractual maturity analysis of the Group’s liabilities

These details are given to help the users of the books of accounts to know the actual related basis of the financial explanations essential within AASB 7 Financial Instruments:

The Disclosure: This shall be understood in relation to the governing and the risk managing purposes. The responsibility of the board is to establish and look after the Risk Management Framework (RMF) of the Group. The Authority now gave away the power in the hands of Board Risk Committee (BRC) in order for making as well as controlling the rules and norms of the risk management norms of the Group. The Board Risk Committee sends report on a regular basis to the Board related to the performances.

The Board now certifies the planning motive of the Group that is inclusive of:

  • we see that the Risk Appetite Statement (RAS), shows the Authority’s targets related to level with the possibilities that ANZ being groomed for achieving in the way of the planning as well as vision motives along with plan of the business; along with Risk Management Strategy (RMS), that explains the plan of ANZ’s related to the management chances also the important things and parts of the Framework of Management of Risk (RMF), that shows outcome in the planning way(Kim, et al., 2017). This is inclusive of details of every bigger chances/losses, and an explanation as to the way the RMF sees every possibilities, along with the relation to the important norms, classes and ways. It is also inclusive of the data related to the quantum as to the manner ANZ sees the probable ways, evaluation, controlling, reporting and monitoring or eliminates the bigger possibilities.

 The first and core motive of the Wesfarmers is to deliver satisfaction full return to the stakeholders. It gave away $2.23 as the dividends in the current year, $2.1b of the taxes of the government and the royalties, and have employed around 23000 employees and gave away $8.7b in the form of salary, wages and in many other forms of benefits (Werner, 2017). We can also see a full depiction of the revenue, which can be studied in the snapshot below:

                                         

The above snapshot of the profitability of the Wesfarmers. We can clearly analyse with the help of this picture, that the profitability of the Wesfarmers is comparatively higher. It has shown almost a double growth from the 2013 until 2017. Hence, investing the sum of $10000 shall be well evident to be made investment in the Wesfarmers itself (Arnott, et al., 2017). The key financial indicators are self-explanatory to provide an evidential role in the growth of an organization.

References:

Alexander, F., 2016. The Changing Face of Accountability. The Journal of Higher Education, 71(4), pp. 411-431.

Arnott, D., Lizama, F. & Song, Y., 2017. Patterns of business intelligence systems use in organizations. Decision Support Systems, Volume 97, pp. 58-68.

Belton, P., 2017. Competitive Strategy: Creating and Sustaining Superior Performance. London: Macat International ltd.

Choy, Y. K., 2018. Cost-benefit Analysis, Values, Wellbeing and Ethics: An Indigenous Worldview Analysis. Ecological Economics, p. 145.

Das, P., 2017. Financing Pattern and Utilization of Fixed Assets – A Study. Asian Journal of Social Science Studies, 2(2), pp. 10-17.

Erik, H. & Jan, B., 2017. Supply chain management and activity-based costing: Current status and directions for the future. International Journal of Physical Distribution & Logistics Management, 47(8), pp. 712-735.

Farmer, Y., 2018. Ethical Decision Making and Reputation Management in Public Relations. Journal of Media Ethics, pp. 1-12.

Goldmann, K., 2016. Financial Liquidity and Profitability Management in Practice of Polish Business. Financial Environment and Business Development, Volume 4, pp. 103-112.

Grenier, J., 2017. Encouraging Professional Skepticism in the Industry Specialization Era. Journal of Business Ethics, 142(2), pp. 241-256.

Jefferson, M., 2017. Energy, Complexity and Wealth Maximization, R. Ayres. Springer, Switzerland. Technological Forecasting and Social Change, pp. 353-354.

Kim, M., Schmidgall, R. & Damitio, J., 2017. Key Managerial Accounting Skills for Lodging Industry Managers: The Third Phase of a Repeated Cross-Sectional Study. International Journal of Hospitality & Tourism Administration, , 18(1), pp. 23-40.

Sithole, S., Chandler, P., Abeysekera, I. & Paas, F., 2017. Benefits of guided self-management of attention on learning accounting. Journal of Educational Psychology, 109(2), p. 220.

Trieu, V., 2017. Getting value from Business Intelligence systems: A review and research agenda. Decision Support Systems, Volume 93, pp. 111-124.

Werner, M., 2017. Financial process mining – Accounting data structure dependent control flow inference. International Journal of Accounting Information Systems, Volume 25, pp. 57-80.

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