Advances in business and management forecasting

Online-Ressource (188 p)

Advances in Business and Management Forecasting ; v.10

Advances in Business and Management Forecasting Ser ; v.10

Description based upon print version of record

Front Cover; Advances in Business and Management Forecasting; Copyright page; Editorial Advisory Board; Contents; List of Contributors; Part I: Forecasting Applications in Finance; Components of a Decomposition Forecast of Stock Prices with Excel; Introduction; The Models; Linear Trend; Moving Averages; Periodicity; Shocks; Conclusions, Recommendations, and Limitations; References; Data Source; Forecasting the Net Asset Value of PRWCX; Introduction; PRWCS T. Rowe Price Capital Appreciation Fund: The Moderate Allocation Fund; Definition of Unit to be Forecast: Net Asset Value (NAV)

Time Series Forecasting MethodExponential Smoothing; Trend Models; Decomposition Modeling; Average Models; Winter's Method; ARIMA Model; Autoregressive Models; Moving Average Model; Mixed Autoregressive and Moving Average Models; Forecasting Results; References; Using Prediction Intervals to Improve Information Quality of Bankruptcy Prediction Models; Introduction; Prediction (Confidence) Intervals and Hypotheses; Samples and Data; Analysis and Results; Conclusion; Acknowledgments; References; Part II: Forecasting Applications in Operations and Technology

Comparison of Technological Performance between Digital Single-Lens Reflex Cameras and Mirrorless CamerasIntroduction; Research Objective and Scope; Overall Research Objective; Scope of the Research; Type of Cameras Considered; Units Measured; Analysis; Data Gathering; Methodology; Results; Discussion; Limitations and Future Research; Conclusion; References; Premium for Service Contracts for Damage Protection; Introduction; Model Development; Product Value Distribution; Service Quality; Premium Function; Customer Preferences; Optimal Premium; Results; Conclusions; References

Measuring Scale Efficiency in Data Envelopment Analysis Considering Environmental InfluencesIntroduction; Literature Review; Methodology; Measuring Technical Efficiency and Scale Efficiency by Using DEA Models; Five-Stage DEA Model; Stage 1: BCC Model; Stage 2: CCR Model; Stage 3: Using the SFA Model to Decompose Slacks; Stage 4: Adjusted BCC Model; Stage 5: Adjusted CCR Model; Problem Description of Scale Efficiency of Chinese Universities; Sample and Data Sources; Selection of Input and Output Indicators; Selection of Environmental Indicators

The Degree of Social Needs of Different SubjectsThe Capacity of Universities; The Proportion of Universities Students of the Total Number; The Number of Examinees in the Provinces Where the Universities Locate; Ranking of Universities; Empirical Analysis; The Empirical Results of the First Two Stages of the Traditional DEA; The Results of SFA Regression Analysis; The Empirical Results After Adjustment; Development Model and Efficiency Improving Directions of China's Top Universities.; Summary and Conclusion; Acknowledgments; References

Evaluating a Bayesian Approach to Forecasting Stocking Spare Parts That Require Periodic Replenishment

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