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- A practical guide to SEC ï¬nancial reporting and disclosures for successful regulatory crowdfunding
- Quality shareholders versus transient investors: The alarming case of product recalls
- The Health Equity Accelerator at Boston Medical Center
- Monosha Biotech: Growth Challenges of a Social Enterprise Brand
- Assessing the Value of Unifying and De-duplicating Customer Data, Spreadsheet Supplement
- Building an AI First Snack Company: A Hands-on Generative AI Exercise, Data Supplement
- Building an AI First Snack Company: A Hands-on Generative AI Exercise
- Board Director Dilemmas: The Tradeoffs of Board Selection
- Barbie: Reviving a Cultural Icon at Mattel (Abridged)
- Happiness Capital: A Hundred-Year-Old Family Business's Quest to Create Happiness
Surveying Professional Forecasters
內容大綱
"This case serves to illustrate how averaging point forecasts harnesses the wisdom of crowds. Students access data from the Survey of Professional Forecasters (SPF) and compare the performance of the crowd (i.e., the average point forecasts) to the average performance of the individual panelists and the best performer from the previous period. The case is intended for use in a class on forecasting, and the instructor can present it in three ways: with all necessary SPF data cleaned and preprocessed in a student spreadsheet (UVA-QA-0805X, provided with the case); with code (also provided in the student spreadsheet) written by the case authors in R, the statistical computing package, as well as a supplementary handout (UVA-QA-0805H, also provided with the case), which walks students through R code, explaining how to clean and analyze the SPF data; or as a team project to be worked on over several days, providing neither the spreadsheet nor the supplement. The latter would be an excellent exercise in data retrieval, cleaning, reshaping, and analysis."