| Papers [1-15] of 100 :: [Page 1 of 7] | | Go to page : 1 2 3 4 5 6 7 —> | Search results on "FORECASTING APPLICATION": |
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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, $ 59.95
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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."
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Forecasting, 2005.
Brief review of forecasting methods and their application.
1,380 words (approx. 5.5 pages), 3 sources, APA, $ 47.95
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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 ..."
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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, $ 54.95
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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."
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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, $ 83.95
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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."
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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, $ 46.95
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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."
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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, $ 42.95
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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. "
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Forecasting Methods, 2006.
A comparative analysis of different forecasting methods.
1,025 words (approx. 4.1 pages), 3 sources, MLA, $ 36.95
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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. "
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Forecasting, 2006.
Examines five different forecasting methods.
908 words (approx. 3.6 pages), 2 sources, APA, $ 32.95
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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."
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Forecasting, 2007.
An examination of business forecasting, focusing on the Delphi method.
1,458 words (approx. 5.8 pages), 4 sources, MLA, $ 48.95
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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. "
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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, $ 38.95
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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."
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Sales Forecasting, 2004.
An analysis of the importance of sales forecasting of off-highway construction plants.
3,510 words (approx. 14.0 pages), 10 sources, MLA, $ 98.95
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Abstract
This paper examines sales forecasting techniques in general and sales forecasting techniques for off-highway construction plants in particular, as they apply to the United Kingdom, French and German markets today and over the next 10-year period. The paper presents statistics and graphs to illustrate worker productivity rates and export information.
Outline
Introduction
Statement of the Problem
Purpose of Study
Importance of Study
Scope of Study
Rationale of Study
Overview of Study
Bibliography
From the Paper
"Accurate sales forecasts can be viewed as a combination of skill and luck. According to Shelley and Wheeler (1991), "Selecting the right model with the right specificity and getting as much information as possible about the market are just two parts of the problem. Since forecasts are, by definition, a look into the future, you must say something about uncertainty" (p. 13). The uncertainty factor represents potential unknowns but managers attempt to make accurate predictions based on what is known in the real world as well as their own professional instincts and intuition. This is not to say, of course, that sales forecasters resort to metaphysical techniques to develop their analyses; it is to say that forecasters should have some idea of what could happen and its probability of occurring. "
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High Frequency Microstructure Forecasting, 2008.
A research proposal for higher forecasting power in the foreign exchange markets.
2,408 words (approx. 9.6 pages), 10 sources, APA, $ 73.95
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Abstract
This research paper investigates the introduction of a higher forecasting power in predicting the foreign exchange rates, than the current conventional macroeconomic fundamentals. The research works on the E/$ currency pair only and is aimed at exploring the impact of micro-structure in a high frequency trading behavior. It also examines whether the feedback trading phenomenon is also observed in the high frequency trading activities, so as to establish a more comprehensive and accurate forecasting model.
Outline:
Introduction
Micro structures
Literature Reviews
Data Collection
Research Study
Conclusions
From the Paper
"Microstructure has become increasingly important in the foreign exchange markets in the recent years; it has been suggested to have a higher forecasting power in predicting the foreign exchange rates than the conventional macroeconomic fundamentals. A series of academic research have been undertaken and show some evidential supports for this notion. However, by and to a large extent, these studies mainly focus on the lower frequency data, ranging from days to weeks, while studies based on a higher frequency, i.e. from minutes to hours is much rarer. Since the trading behaviour is less dependent or hardly relied on the fundamental elements within a short period of time, thus it is interesting to test whether the microstructure has a more influential impact on the foreign exchange rates in a higher frequency trading activity. In addition, recent literatures have suggested a reverse relationship between the customer order flows and foreign exchange rates (Marsh & O'Rourke, 2004), i.e., the customer order flows are dependent on the foreign exchange rate from the previous test period, rather than driving the foreign exchange rate in the next following test period. This feedback trading behaviour is also worth exploring, in order to reveal whether a complicated and interacted relationship exists between the two."
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Management of Cash Forecasting, 2007.
An analysis of the steps and benefits of performing an efficient cash flow forecast for a company.
1,828 words (approx. 7.3 pages), 5 sources, MLA, $ 58.95
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Abstract
This paper discusses the importance to a company of forecasting its cash flows. It begins by providing an explanation of what this entails and then describes the steps for a company to perform an efficient cash flow forecast. The paper concludes with examples of companies that managed to perform efficient cash forecasting and discusses the positive effects this had on these companies.
Table of Contents:
Introduction
Reasons To Forecast Cash Flows
How To Perform An Efficient Cash Forecasting
Success Stories
From the Paper
"Compare cash forecasts to business plan outputs. By doing so, a company will take under consideration current business trends, rather than historical results. Usually, extrapolation based on historical results needs to be adjusted to all changes in the business environment. That is why comparing the cash forecasting results with those from the business plan can be useful. There is also the advantage of adjusting the results from the business plan to those from the cash forecasting by engaging the business units in this process, if the gap between the two methods is large."
"Last, but not least, the comparison is important to check the current business status against the forecasted results. This is particularly important for business units as they deal with the operational part of the company's activity and therefore are responsible for the operational results."
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Sales Forecasting, 2005.
This paper discusses the importance of sales forecasting.
900 words (approx. 3.6 pages), 2 sources, APA, $ 31.95
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Abstract
This paper explains the procedures by which forecasts may be developed. The author examines forecast methods. The paper argues that the best forecasts are quantitative.
From the Paper
"Reliable forecasts are required for a variety of operations conducted by operations. 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 the future. To be meaningful for management, sales forecasts must project demand in terms of measurable units of a product. A number of procedures exist by which forecasts may be developed. Some such as subjective opinion forecasts are not suitable for use with contemporary ..."
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Forecasting Financial Markets, 2000.
A detailed look at the complexities involved in financial market forecasting.
3,235 words (approx. 12.9 pages), 3 sources, $ 93.95
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Abstract
A study of the financial market. The author examines the aspects of forecasting such as risk and return in financial marketing. Includes diagrams and explanations.
From the Paper
" Forecasting financial markets plays an important role in business decision-making process. There are many business decisions that need inputs from forecasting results. This is mainly due to the uncertainty of the future events. The business decision-making process would become much easier if you are able to forecast about what would happen in the future. The information provided by the forecasting results such as interest rate, exchange rate, inflation, market index, would be one of the important input for making business decisions. Nevertheless a good business decision is a balanced combination between the basic knowledge of specific series and the forecasting result of particular of data. Therefore, It is not wise only to rely heavily on forecasting results and ignore all the available general knowledge and qualitative information. The forecasting results that are not supported by related basic knowledge could be misleading."
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