Abstracts

Engineering and manufacturing industries

Search abstracts:

Simulating management's earnings-per-share forecasts

Article Abstract:

This study attempts to simulate management's earnings-per-share forecasts using six naive time series models. The results indicate two (random walk and random walk with a drift) of the six models were significantly more accurate than the other four models in simulating management's earnings forecast. Both exhibited a tendency to consistently underforecast earnings, and it was hypothesized that this could be due to an inherent bias in the data. The results for the remaining four models were not as favorable. The two submartingales and the simple linear trend models exhibited a high degree of variability in accuracy and significant biases based on the magnitude of the forecast. The arithmetic average model appeared to be unbiased but exhibited a high degree of variability. The results of the study indicate that it may be possible to simulate management's earnings forecasts using relatively naive mathematical models. (Reprinted by permission of the publisher.)

Profits, Mathematical models, Forecasting, Technical, Comparison, Financial Analysis Software, Management Applications, Profit, Time Series

---

On simulating a die toss with coin flips

Article Abstract:

In this paper a general method for the generation of discrete uniform random deviates from random binary digits is examined. A measure of efficiency is developed and an improvement on the fundamental technique is also explored. (Reprinted by permission of the publisher.)

Numerical analysis, Product introduction, Mathematics, New Technique, Random Number Generation, Binary Number System, technical

---

Similar abstracts:

• Abstracts: Single-machine earliness-tardiness scheduling about a common due data with tolerances. Variable priority dispatching rules: an analytical approach
• Abstracts: Solving the documentation dilemma. Measuring performance after meeting award criteria
• Abstracts: A design for a management information system with consideration for stochastic variability. Cellular green-teams in global network organisations
• Abstracts: Simulation Model Simplification Techniques. Techniques for sensitivity analysis of simulation models: a case study of the CO2 greenhouse effect
• Abstracts: New Simulation Computer and Software Combination is Less Costly and Easier to Program than Supercomputers. Additions to the Catalog of Simulation Software

This website is not affiliated with document authors or copyright owners. This page is provided for informational purposes only. Unintentional errors are possible.