Financial Forecasting - Time Series Models Essay examples

Healthcare has evolved over past decades and continues to remain an issue of concern for individuals everywhere. Effectively managing data is important to improving the performance in the health care system. Accumulating, evaluating, deciphering and acting on data for particular performance measures allow health professionals to identify shortcomings and make the necessary adjustment, and track the outcome.

During the early 2000 's, the United States housing market experienced growth at an unprecedented rate, leading to historical highs in home ownership. This surge in home buying was the result of multiple illusory financial circumstances which reduced the apparent risk of both lending and receiving loans. However, in 2007, when the upward trend in home values could no longer continue and began to reverse itself, homeowners found themselves owing more than the value of their properties, a trend which lent itself to increased defaults and foreclosures, further reducing the value of homes in a vicious, self-perpetuating cycle. The 2008 crash of the near-$7-billion housing industry dragged down the entire U.S. economy, and by extension, the global economy, with it, therefore having a large part in triggering the global recession of 2008-2012.

Census data (A), risk management data (B), budgeting process information (C), data obtained from client-satisfaction surveys (E), and changes in the community's demographic data (F) provide pertinent data for planning for the current and future healthcare needs of the community. Available workforce (D), although a concern, is not a factor in quality-assurance directives.

Forecasting is an important tool to help healthcare managers prepare for the challenges associated with rising health care costs. As the healthcare landscape continues to change, managers look at the past and present to predict the future. The U.S. government is major provider of health insurance for the elderly and disable persons. The government’s portion for covering healthcare costs has risen steadily, from 43% in 1980 and 38% in 1970 (Miller & Washington, 2006 p. 40). Medicare is the single largest source of payment for beneficiary health care costs; it covers about half of the cost of health care (Healthcare Financing Administration, 2006). The Affordable Care Act (ACA), which also provides medical coverage to low income persons, must also be factored into the cause and effect analysis. As a result of the changing landscape of health insurance, healthcare managers rely of analytical forecasting to predict future healthcare costs, examine cause and effect relationships and prepare their organization to provide quality affordable care to their patients.

|National Health Expenditures and Selected Economic Indicators, Levels and Annual Percent Change: Calendar Years 2004-2019 1 Projected |

In the first medical surgical unit, it is forecasted there will be 14,007 patient days in 2015 with the 5:1 ratio, there needs to be 2,802 staff members in this unit. In the second medical surgical unit, there will be 14,086 patient days in 2015 and will need 2,817 staff members. The third unit will have 10,846 patient days and will need 2,170 staff members to meet the standard ratio. The final unit will have 9,936 patient days in 2016 and will need 1,987 staff members.

Problems for home owners with good credit surfaced in mid-2007, causing the U.S.'s largest mortgage lender, Countrywide Financial, to warn that a recovery in the housing sector was not expected to occur at least until 2009 because home prices were falling "almost like never before, with the exception of the Great Depression." Most economists agree that the primary cause of the current recession was the credit crisis arising from the bursting of the housing bubble. Why did the housing bubble occur and why did its bursting cause such a severe and widespread recession?

The housing bubble went into full effect by December of 2007, and is seen to be the leading cause of the Great Recession. With the lowering of interest by mortgage associations, lead to those who had poor credit to obtain a mortgage. Those

The purpose of this task is g to evaluate why the new NHS record system (NpfIT) was deemed a failure. Some of the focuses will be on how the suppliers failed and evaluate this issue. This issue will then be compared with the Prince2 project method and see where the failings took place in the planning and the final part will be to show how these issues could have been avoided, based on the background reading.

I have looked at the organisations sickness over the last twelve months and taken the figures from the

Result. The project in progress for 6 month, there was a shift in the disease expression profile to a less severe state as predicted by dynamic simulation model. However, there was not anticipated shift in cost structure resulting from less hospital usage. There also shape the people involved in the process.

Once data is collected it can be used by numerous health care providers and decision makers to monitor the health and needs of individuals and populations, as well as contribute to the analysis of the health system. Users including hospitals, health care practitioners, government, professional associations, researchers, media, students, and the general public. Having the correct and up-to-date coded data is critical, not only for the delivery of high-quality clinical care, but also for continuing health care, maintaining health care at an optimum level, for clinical and health service research, and planning and management of

The housing market crash, which broke out in the United States in 2007, was caused by high risk subprime mortgages. The subprime mortgage crisis resulted in a sudden reduction in money and credit availability from banks and other lending institutions, which was referred to as a “credit crunch.” The “credit crunch” and its effect spread across the United States and further on to other countries across the world. The “credit crunch” caused a collapse in the housing markets, stock markets and major financial institutions across the globe.

The 2008 financial crisis can be traced back to two factor, sub-prime mortgages and debt. Traditionally, it was considered difficult to get a mortgage if you had bad credit or did not have a steady form of income. Lenders did not want to take the risk that you might default on the loan. In the 2000s, investors in the U.S. and abroad looking for a low risk, high return investment started putting their money at the U.S. housing market. The thinking behind this was they could get a better return from the interest rates home owners paid on mortgages, than they could by investing in things like treasury bonds, which were paying extremely low interest. The global investors did not want to buy just individual mortgages. Instead, they bought

The SST will require data collected from all computers used to monitor access to the admission system. Additional data will have specific times at which the patient reported to various stations of treatment, and when the patient was discharged. A multivariate trend forecasting method will be more appropriate in this setting; the use of multiple variables about the item being forecasted allows seasons and cycles to be combined with other variables and improve forecast accuracy (Langabeer, 2008). This will give operation managers better forecasting abilities as they will be able to see trends.