| Papers [1-16] of 100 :: [Page 1 of 7] | | Go to page : 1 2 3 4 5 6 7 —> | Search results on "ECONOMIC FORECASTS": |
|
|
Economic forecasts, 2005.
A discussion on economic forecasting.
690 words (approx. 2.8 pages), 2 sources, MLA, AU$ 34.95
»
Click here to show/hide summary
Abstract
This paper analyzes and estimates two different economic forecasts namely the GDP (Gross Domestic Product) and unemployment rates. It explores the assumptions that underlie the forecasts. The paper researches the underlying issue regarding economic forecasting.
| |
|
Economic Forecasting, 2005.
Examines how various agencies use economic indicators to provide forecasts.
2,858 words (approx. 11.4 pages), 10 sources, APA, AU$ 123.95
»
Click here to show/hide summary
Abstract
The economic health of the United States is measured by a variety of institutions that assign value to a number of indicators in an effort to judge and predict future activity. The paper explains that the U.S. Administration, the Mortgage Banker's Association and the Congressional Budget Office all compile data to project macroeconomic concepts such as real GDP, inflation rate, unemployment, 10-year T-notes, and 30 year fixed mortgage rates. The paper shows that economists and other professional forecasters use a number of techniques to make projections for the economy and the labor market, including reliance on equations and regressions using the relevant variables to help them forecast the future.
From the Paper
"The forecasters see little reason to change their projections for inflation or unemployment. Measured by the fourth-quarter over fourth-quarter rate of change in the consumer price index, inflation is expected to average 2.3 percent in 2005, up just a bit from the previous estimate of 2.2 percent, and hold steady at 2.3 percent in 2006. Year-over-year growth in the GDP price index will average 2.0 percent in 2005, and rise to 2.1 percent next year. The forecasters see the unemployment rate averaging 5.2 percent this year, just a bit below their previous estimate of 5.3 percent, and falling in 2006, to an annual average of 5.0 percent."
| |
|
Economic Indicators, 2004.
A statistical study on economic indicators and economic forecasts.
900 words (approx. 3.6 pages), 1 source, APA, AU$ 46.95
»
Click here to show/hide summary
Abstract
This paper reviews certain economic indicators and forecasts them 18 months into the future. The economic indicators include personal income, number of new jobs created and business productivity.
From the Paper
"This is a statistical study of certain economic indicators. Based on the premise that the performance of these past economic indicators is a good predictor of their future behavior, each of the charts provided below was constructed based on historical data found at the United States Bureau of Labor Statistics website. The forecasted information was done using linear regression analysis, which is one of the features or functions of Microsoft Excel. In general, the goal of linear regression is to find the line that best predicts Y point..."
| |
|
Basis of Planning and Forecasting, 2002.
The concept of "planning and forecasting" from the basics are explained in this paper including the meaning of forecasting, planning and forecasting, methods of forecasting and techniques of forecasting.
1,670 words (approx. 6.7 pages), 3 sources, MLA, AU$ 79.95
»
Click here to show/hide summary
Abstract
The term forecasting can be defined as the process of estimating the reverent event of future based on the analysis of their past & present behavior. This definition of forecasting gives rise to three essential characteristics of forecasting. Firstly, forecasting relates to future events. It is the estimation of what will happen in future secondly,forces are made by analyzing the past & present events which are relevant. Anything predicted of the future can't be termed as forecasting. It requires proper analyzing of past & present event requires certain statistical & mathematical tools. Relating the business to forecasting, it may be defined as management tool which provides the necessary raw material for budgeting.
From the Paper
"Ever since the man has developed the understanding to find out the concepts behind the phenomena?s of nature, further prediction & forecasting has been the main tool in the hand of the person who starts up the experiments projects or any systematic activity to come to the required conclusion. Every individual every institution has to forecast some thing or the other in the daily sphere of life. All of us are interested in forecasting of some type or the other it could be the forecasting of daily experience in a day to day life or it could be related to the respective work, job or any activity. Forecasting is gradually becoming a must for all spheres of human activity may it be house politics or business. Needless to say it has a lot of importance in any of the respective spheres."
| |
|
The Economic Situation, 2004.
This paper reviews the 2003 economic climate by evaluating many economic topics, such as Iraq and retail sales, and attempts to forecast into 2004.
1,850 words (approx. 7.4 pages), 5 sources, MLA, AU$ 86.95
»
Click here to show/hide summary
Abstract
This paper explains that believing everything one reads may lead to a false sense of economic security. The author points out that the economy may be improving, but economists are only hoping that corporate America will get that sense of security and, therefore, create the economic resurgence the nation so desperately needs. The author predicts that, after experiencing investment deficiency, organizations will slowly increase their levels of spending, which will eventually add jobs. Charts.
Table of Contents
Introduction
Current economy
Inflation
Unemployment Figures
Iraq/Military
Investment
Airline industry
Oil
Forecast 2004
Conclusions
From the Paper
"Recently new scandals have been brought to the forefront of the media regarding the mutual fund fraud and favoritism. Yet the market continues to gobble up large amounts of cash because Baby Boomers are nearing retirement. The key is that investors should be in the market for the long haul to reduce volatility. We should understand that sell-offs can happen. There are always speculative bubbles, a lack of confidence in the economy or market, potential recession, increased inflation, a possible war, or simply ?just because.? Going back as far as the 19th century proves stocks are not any riskier than bonds in the long run and although returns fluctuate from year to year, volatility is all but canceled over longer periods."
| |
|
Forecasting of an Application, 2007.
This paper discusses different types of forecasting used within an organization to obtain the very best chance of creating an accurate forecast for application purposes.
1,852 words (approx. 7.4 pages), 8 sources, MLA, AU$ 86.95
»
Click here to show/hide summary
Abstract
In this article, the writer first discusses what is meant by the 'forecasting' of an application. The writer then examines how useful this is today. Further, the writer discusses which are the organizations that use the method of forecasting in their applications and looks at the more popular methods of forecasting today. In this paper, the writer discusses linear regression,the Delphi Forecasting method, technological forecasting and the time series forecasting method. The writer notes that exponential smoothing is one of the best forecasting methods used today, perhaps because of its innate simplicity and lack of complexity.
From the Paper
"Linear regression is the method wherein a straight line is calculated with a simple method, while in the exponential function, an increasing or a decreasing curve is used. Some of the 'smoothing' methods are the 'moving average' and the 'double moving average'. While the moving average method attempts to smooth out past data by averaging the past periods and using that data to project the view forwards, the 'double moving average' uses the moving average calculations twice. The seasonal method uses past data again, but in a deseasonalized version, and this data is used to apply seasonal effects on the forecasting. Winter's additive and the winter's multiplicative are the two methods of seasonal smoothing methods."
| |
|
Business Forecasting, 2005.
Examines the role that business forecasting plays and the limitations of the main methods of business forecasting.
2,800 words (approx. 11.2 pages), 8 sources, APA, AU$ 121.95
»
Click here to show/hide summary
Abstract
This paper deals with the functions and purpose of business forecasting within a business organization or business environment. The paper also critically discusses the limitations of the main methods of business forecasting and how these shortcomings can be overcome. The methods discussed include exponential smoothing, regression analysis and ARIMA (autoregressive integrated moving average).
From the Paper
"The role of business forecasting within any business environment cannot be overemphasized. Business forecasting has for a long time been an activity of interest because of its close interaction with major finance, fortunes obtained and lost and the criticality of economic trends for the social and political welfare of a business and of course a country. In fact, it is an integral part of any business organization, serving as an indispensable tool and an unavoidable task necessary for safeguarding the future goals and objectives of any firm or rational individual within a market structure. No rational decision can be made without, at least implicitly, taking some view of the future. Often in earlier times, forecasting activity was rather an informal process, but nowadays, it now recognised that more formal methods of business forecasting will contribute to increased forecast accuracy."
| |
|
Economic Models, 2004.
Looks at different economic models and their usefulness in resolving issues of whether or not a monopoly exists.
5,640 words (approx. 22.6 pages), 17 sources, MLA, AU$ 198.95
»
Click here to show/hide summary
Abstract
This paper uses the example of the increasing monopolization of the telecommunications industry to demonstrate the need for economic models that can help resolve issues of monopolization. The paper describes the purpose of economic models, the different types of models, and some of the factors and data that the models consider.
Outline
An Agent-Based Economic Model
Telecommunications market structure, development, and impact studies
Demand analysis and forecasting studies, modeling
Service and Network Cost Studies and Models
Comparative tariff, policy, and market analyses
Tariff Model -- International Comparisons
OECD Basket Comparisons of Telephone Services Charges - August 1997
Multivariable Regression
The Classical Model
The Classical Model of Production and Employment
Labor Demand
Labor Supply
Equilibrium
Aggregate Supply and Demand
Loanable Funds
Taxes on Labor Income
Animal Spirits
The Keynesian IS/LM Model
Tax Model (The Simple Keynesian Model)
Paradox of Thrift
The Mundell-Fleming Model
Real Business Cycles
The IS/MP Model
From the Paper
"With the agressive deregulation in the telecommunications industry in the United States and Europe during the early to mid-1990?s, it seemed that the local monopolies would be forced to unbundle their networks. However, MCI WorldCom, the second largest US long distance telecommunications company, announced in October 1999, that it would acquire Sprint, the third largest US long distance company, in the biggest corporate takeover in history. The merger is valued at $129 billion in cash, stock and debt. The resulting firm will be second only to AT&T in the US telecommunications industry, a company with, as of 1999, $65 billion in annual revenue, 142,000 workers and 40 million business and residential customers (McGaughlin, 1999)."
| |
|
Forecasting Methods, 2006.
A comparative analysis of different forecasting methods.
1,025 words (approx. 4.1 pages), 3 sources, MLA, AU$ 53.95
»
Click here to show/hide summary
Abstract
The purpose of this paper is to discuss forecasting methods that are used in commercial business. Competition for consumers is high and in order for businesses to survive, they all have to consider what products are needed, where and when they are needed as well as in what quantities. It looks at how a successful forecasting strategy requires selecting the appropriate forecasting technique and compares and in particular contrasts forecasting methods as they relate to an organization called United Parcel Service. It looks at how there are three types of forecasting to predict demand: judgment methods, time series analysis and causal methods.
Outline
Abstract
Introduction
Judgment Methods
Time Series Analysis
Causal Methods
Conclusion
From the Paper
"Judgment methods can be defined as tools that use opinions to develop forecasts without reference to any available historical data. The basis for judgment methods is to utilize decision-makers that have sufficient experience to establish forecasts. This is a low cost method that has rapid development time. However, it is not consistently accurate and subject to bias. The judgment method would not work at the UPS billing site. Most of the forecasting is based on previous numbers and historical data collected as far back as two years ago. Plans for staffing, potential growth, and volume production are weighed in comparison with these same factors in previous years of operation especially during
their consolidation processes. "
| |
|
Business Forecasting, 2004.
This paper discusses various techniques of business forecasting and their use at Sony Corporation.
1,400 words (approx. 5.6 pages), 7 sources, MLA, AU$ 67.95
»
Click here to show/hide summary
Abstract
This paper explains that one of the most important components of any successful business is the ability to make effective decisions regarding the future; this allows the business to anticipate sale,s thus gearing their business components toward these changing sales figures. The author points out that one of the most important assumptions of business forecasters is that the past acts as an important guide for the future, but this presents a problem in times of uncertainty. The paper states that both the Delphi technique and time series forecasting are valuable forecasting tools in the right circumstances. The Delphi technique is useful for short term forecasts; therefore, it is often a more valuable tool for business forecasting during conditions of uncertainty.
From the Paper
"Sony Corporation, along with many other large and small businesses, uses business forecasting techniques to predict future sales. The Sony Corporation of America is the American subsidiary of Tokyo's Sony Corporation. The company manufactures information technology, audio, video and communication products for both professionals and consumers. The company had over $62.3 billion in consolidated annual sales for the fiscal year ended March 31, 2003, with $20 billion in sales in the United States (Sony Corporation of America). Given these impressive sales figures, business forecasting plays an important role in Sony's corporate strategy."
| |
|
Forecasting, 2006.
Examines five different forecasting methods.
908 words (approx. 3.6 pages), 2 sources, APA, AU$ 47.95
»
Click here to show/hide summary
Abstract
There are various methods that can be used for forecasting and each one has its own qualities, its own considerations and its own uses. This paper describes and compares five common forecasting methods. These are: Time-series analysis, the Delphi technique, moving-average forecasting, exponential forecasting and regression analysis.
From the Paper
"In the Delphi technique, each of the experts will be asked their opinions via questionnaires, with each expert unable to communicate with the other ones questioned. The information is then collected and summarized and presented to the experts. The experts can then reconsider their answers and adjust them. This process can continue as required, with the intention being for a general consensus to emerge. The purpose of the technique is to utilize a range of experts, but in a way where each gives their opinion independently."
| |
|
Forecasting Methods, 2004.
An overview of some of the various forecasting methods and their uses.
1,263 words (approx. 5.1 pages), 3 sources, MLA, AU$ 62.95
»
Click here to show/hide summary
Abstract
This paper examines how the various forecasting methods have their differences and similarities. Some are based on hard data, such as past sales figures and surveys, while another may simply use assumptions. It looks at how, with the ever changing market trends careful considerations must be given to any style of forecasting that is used and how the type of forecast method used depends on which area of the market a company is in.
Outline
Time Series
Causal Forecasting
Delphi Method
Forecast Comparisons
Conclusion
From the Paper
"The clothing industry utilizes forecasting methods that contain both assumptions and past data. Clothing styles change on a regular basis and rely on one constant, what is pleasing to the public's eye. Over the past few decades clothing styles focus on the amount of skin that is reviled and how the cloths show off the body's figure. Many people feel that wearing a certain outfit they saw in a magazine or commercial will look just as good on themselves. In other words: the clothes make the person. Some people believe that people who are obese or have very bad skin should not be wearing garments such as mini-skirts, plunging neck lines, shorts or mid-drifts. "
| |
|
Toyota-Insurance, 2005.
An analysis of 12-month economic forecasting for Toyota-Insurance.
900 words (approx. 3.6 pages), 4 sources, AU$ 51.95
»
Click here to show/hide summary
Abstract
This paper discusses several economic indicators, Toyota sales figures and auto insurance rates, and their usefulness in anticipating economic trends over a 12 month period. The primary emphasis is attempting to gauge, based on past performance figures and current market trends, what these two key indicators will do over the following 12 month period as a form of overall economic forecasting.
From the Paper
"Toyota and Auto Insurance Trend Forecasting, Toyota Sales Forecast and Toyota retail sales in the United States (US) provides a somewhat useful assessment of the overall state of the automotive industry in the US as well as a generally accurate indicator of economic health. Positive Toyota sales performance as well as a projected strong sales trend over 12 months does not necessarily imply that the automotive industry itself is strong or that the overall economy is performing in a positive manner. That said, if Toyota's projected 12 month sales forecast is strong, it does indicate some general positive consumer sentiment as well as provides a source of economic activity in an industry that might generally be suffering. In fact, the automotive industry in the US is currently suffering one of its worst periods in decades in that the major automotive companies are all suffering some major performance issues."
| |
|
Forecasting, 2007.
An examination of business forecasting, focusing on the Delphi method.
1,458 words (approx. 5.8 pages), 4 sources, MLA, AU$ 70.95
»
Click here to show/hide summary
Abstract
The paper discusses forecasting, one of the major management functions. The paper examines the benefits of forecasting for companies operating in an ever-changing business environment. The paper discusses how good forecasts help management teams asses risks and develop long-term strategies. The paper focuses on the Delphi method of forecasting, which is a group decision process. The Delphi method is used for environmental, marketing and sales forecasting.
From the Paper
"Initially, the Delphi method was focused on obtaining a consensus regarding the predictions, similar to the Panel Consensus. Future developments emphasized on structuring and discussing diverse opinions of the preferred future. Discussions and the revelation of good arguments are the primary aim of the present method, rather than focusing on the output. This is the main difference from the method of Panel Consensus. The Delphi method deals with separate views on the probable / preferable future as separate cases, whereas Panel Consensus aims at leveling all opinions to the majority's. The two techniques can work together at different stages of the process. "
| |
|
Forecasting, 2005.
Brief review of forecasting methods and their application.
1,380 words (approx. 5.5 pages), 3 sources, APA, AU$ 69.95
»
Click here to show/hide summary
Abstract
This paper reviews forecasting methods and their application. The variety of operations conducted by business firms and other organization that require reliable forecasts are discussed. The paper also discusses several types of forecasts including sales forecast, index-based forecast.
From the Paper
"Reliable forecasts are required for a variety of operations conducted by business firms and other organizations A sales forecast as an example is an estimate of the level of demand for a product or for several products for some period of time in ..."
| |
|
Business Forecasting, 2004.
An analysis of the value of business forecasting in corporate decision making.
1,097 words (approx. 4.4 pages), 4 sources, MLA, AU$ 56.95
»
Click here to show/hide summary
Abstract
This paper examines how business forecasting is a valuable tool in aiding businesses to make both long-term and short-term business decisions. It looks at how both qualitative and quantitative methods of forecasting can be highly effective, especially when applied to the correct business environment and practice. It also shows that, while many methods, including the much-used Delphi and time series methods of forecasting, are flawed, they also can provide valuable data.
From the Paper
"In this small business, more formalized methods of forecasting would not be financially viable. The cost of obtaining a Delphi analysis would far outweigh the benefits to the business. Nonetheless, the owners may be able to benefit from an industry-wide quantitative analysis of the future market for car repairs. This analysis would allow the owners to track industry changes in car repair sales. Further, an industry-wide analysis of the type of repairs, and the models of cars repaired may help this small business to predict the type of future repairs, and thus run their business accordingly."
|
|
|
