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  • All HBS Web  (1,275)
    • News  (115)
    • Research  (1,049)
    • Events  (3)
    • Multimedia  (6)
  • Faculty Publications  (800)

Show Results For

  • All HBS Web  (1,275)
    • News  (115)
    • Research  (1,049)
    • Events  (3)
    • Multimedia  (6)
  • Faculty Publications  (800)
← Page 13 of 1,275 Results →
  • February 2011 (Revised February 2011)
  • Supplement

The Auction for Burger King (A) (CW)

By: Malcolm P. Baker and David Lane
The courseware contains information on comparable firms and transactions as well as a forecasting model using the case data. View Details
Keywords: Forecasting and Prediction; Auctions; Market Transactions; Valuation; Service Industry
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Baker, Malcolm P., and David Lane. "The Auction for Burger King (A) (CW)." Harvard Business School Spreadsheet Supplement 211-712, February 2011. (Revised February 2011.)
  • 2007
  • Working Paper

The Seer of Wellesley Hills: Roger Babson and the Babson Statistical Organization

By: Walter A. Friedman
Roger Babson was a pioneer of the business-forecasting industry in the United States in the early twentieth century. He built the largest private economic forecasting agency in the period and published a great range of economic statistics in his weekly newsletters. As... View Details
Keywords: Forecasting and Prediction; Economics; Business History; Newsletters; Personal Development and Career; United States
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Friedman, Walter A. "The Seer of Wellesley Hills: Roger Babson and the Babson Statistical Organization." Harvard Business School Working Paper, No. 08-036, November 2007.
  • October 2018
  • Article

The Operational Value of Social Media Information

By: Ruomeng Cui, Santiago Gallino, Antonio Moreno and Dennis J. Zhang
While the value of using social media information has been established in multiple business contexts, the field of operations and supply chain management have not yet explored the possibilities it offers in improving firms' operational decisions. This study attempts to... View Details
Keywords: Machine Learning; Information; Sales; Forecasting and Prediction; Social Media
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Cui, Ruomeng, Santiago Gallino, Antonio Moreno, and Dennis J. Zhang. "The Operational Value of Social Media Information." Special Issue on Big Data in Supply Chain Management. Production and Operations Management 27, no. 10 (October 2018): 1749–1774.
  • July – August 2011
  • Article

What Factors Drive Analyst Forecasts?

By: Boris Groysberg, Paul Healy, Nitin Nohria and George Serafeim
A firm's competitive environment, its strategic choices, and its internal capabilities are considered important determinants of its future performance. Yet there is little evidence on whether analysts' forecasts of firm performance actually reflect any of these factors... View Details
Keywords: Competition; Forecasting and Prediction; Industry Growth; Judgments; Performance; Valuation; Price; Quality; Innovation and Invention; Organizational Culture; Competency and Skills; Surveys
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Groysberg, Boris, Paul Healy, Nitin Nohria, and George Serafeim. "What Factors Drive Analyst Forecasts?" Financial Analysts Journal 67, no. 4 (July–August 2011).
  • November 2024
  • Article

Perceptions About Monetary Policy

By: Michael D. Bauer, Carolin Pflueger and Adi Sunderam
We estimate perceptions about the Federal Reserve’s monetary policy rule from panel data on professional forecasts of interest rates and macroeconomic conditions. The perceived dependence of the federal funds rate on economic conditions varies substantially over time,... View Details
Keywords: Monetary Policy; Policy; Interest Rates; Perception; Economy; Forecasting and Prediction
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Bauer, Michael D., Carolin Pflueger, and Adi Sunderam. "Perceptions About Monetary Policy." Quarterly Journal of Economics 139, no. 4 (November 2024): 2227–2278.
  • August 2005 (Revised March 2007)
  • Case

Leitax (A)

By: Noel H. Watson, Rogelio Oliva and Laura Winig
Leitax, a young digital camera manufacturer selling its cameras mainly through retailers, experienced poor matching of inventory availability with demand for new and existing products in 2002. Describes the implementation and details of a consensus forecasting... View Details
Keywords: Demand and Consumers; Supply Chain Management; Forecasting and Prediction; Supply and Industry; Manufacturing Industry; Retail Industry
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Watson, Noel H., Rogelio Oliva, and Laura Winig. "Leitax (A)." Harvard Business School Case 606-002, August 2005. (Revised March 2007.)
  • July 1987 (Revised October 2009)
  • Background Note

A Method For Valuing High-Risk, Long-Term Investments: The "Venture Capital Method"

By: William A. Sahlman and Daniel R Scherlis
Describes a method for valuing high-risk, long-term investments such as those confronting venture capitalists. The method entails forecasting a future value (e.g., five years from the present) and discounting that terminal value back to the present by applying a high... View Details
Keywords: Forecasting and Prediction; Entrepreneurship; Venture Capital; Investment; Risk Management; Valuation
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Sahlman, William A., and Daniel R Scherlis. A Method For Valuing High-Risk, Long-Term Investments: The "Venture Capital Method". Harvard Business School Background Note 288-006, July 1987. (Revised October 2009.)
  • May 1993
  • Case

Kaufmann Manufacturing Company (A)

By: Julie H. Hertenstein and William J. Bruns Jr.
A management team at Kaufmann is studying the latest year's operations and sales, which seem to have led to very confusing financial results. Sales exceeded forecast and production for the first six months, however Kaufmann reported a loss. Yet, when sales were below... View Details
Keywords: Budgets and Budgeting; Earnings Management; Cost Accounting; Financial Reporting; Cost vs Benefits; Capital Budgeting; Cost Management; Profit; Outcome or Result
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Hertenstein, Julie H., and William J. Bruns Jr. "Kaufmann Manufacturing Company (A)." Harvard Business School Case 193-159, May 1993.
  • 2010
  • Working Paper

When Do Analysts Add Value? Evidence from Corporate Spinoffs

By: Emilie Rose Feldman, Stuart Gilson and Belen Villalonga
We investigate the information content and forecast accuracy of 1,793 analyst reports written around 62 spinoffs—a setting in which analysts' ability to inform investors is potentially very high. We find that analysts pay little attention to subsidiaries about to be... View Details
Keywords: Earnings Management; Mergers and Acquisitions; Business Subsidiaries; Restructuring; Forecasting and Prediction; Insolvency and Bankruptcy; Initial Public Offering; Price; Reports; Research
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Feldman, Emilie Rose, Stuart Gilson, and Belen Villalonga. "When Do Analysts Add Value? Evidence from Corporate Spinoffs." Harvard Business School Working Paper, No. 10-102, May 2010.
  • 07 Oct 2024
  • Research & Ideas

Election 2024: Why Demographics Won't Predict the Next President

Pundits love a political horse race, parsing the latest polls to predict who might win an election. And in the final runup to the US presidential contest, these forecasts can influence markets and shape public opinion and policies. But as... View Details
Keywords: by Jay Fitzgerald
  • 01 Oct 2020
  • Video

Building a Just and Climate-Ready Economy in a Post-COVID World

  • 29 Sep 2020

Building a Just and Climate-Ready Economy in a Post-COVID World

  • March 2015
  • Article

Inside the “Black Box” of Sell-Side Financial Analysts

By: Lawrence D. Brown, Andrew C. Call, Michael B. Clement and Nathan Y. Sharp
Our objective is to penetrate the “black box” of sell-side financial analysts by providing new insights into the inputs analysts use and the incentives they face. We survey 365 analysts and conduct 18 follow-up interviews covering a wide range of topics, including the... View Details
Keywords: Knowledge Use and Leverage; Investment; Analysis; Forecasting and Prediction; Stocks; Financial Services Industry
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Brown, Lawrence D., Andrew C. Call, Michael B. Clement, and Nathan Y. Sharp. "Inside the “Black Box” of Sell-Side Financial Analysts." Journal of Accounting Research 53, no. 1 (March 2015): 1–47.
  • Video

Edwin Land in a new factory space. Produced for Polaroid, Dr. land Stockholders Meeting, 1969-1970

  • 2012
  • Working Paper

Issuer Quality and Corporate Bond Returns

By: Robin Greenwood and Samuel G. Hanson
We show that the credit quality of corporate debt issuers deteriorates during credit booms, and that this deterioration forecasts low excess returns to corporate bondholders. The key insight is that changes in the pricing of credit risk disproportionately affect the... View Details
Keywords: Price; Credit; Risk and Uncertainty; Investment Return; Forecasting and Prediction; Bonds; Market Design; Cost of Capital; Mathematical Methods; System Shocks
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Greenwood, Robin, and Samuel G. Hanson. "Issuer Quality and Corporate Bond Returns." Harvard Business School Working Paper, No. 11-065, January 2011. (Revised September 2012, Internet Appendix Here.)
  • October 2005 (Revised February 2010)
  • Background Note

Calculating Free Cash Flows

By: Robin Greenwood and David S. Scharfstein
Outlines the mechanics of calculating free cash flows from historical and proforma financial statements. Focuses on the mechanical process of transforming numbers from financial forecasts into cash flows. View Details
Keywords: Financial Statements; Forecasting and Prediction; Cash Flow; Mathematical Methods
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Greenwood, Robin, and David S. Scharfstein. "Calculating Free Cash Flows." Harvard Business School Background Note 206-028, October 2005. (Revised February 2010.)
  • Article

Trimmed Opinion Pools and the Crowd's Calibration Problem

By: Victor Richmond R. Jose, Yael Grushka-Cockayne and Kenneth C. Lichtendahl
We introduce an alternative to the popular linear opinion pool for combining individual probability forecasts. One of the well-known problems with the linear opinion pool is that it can be poorly calibrated. It tends toward underconfidence as the crowd's diversity... View Details
Keywords: Trimmed Opinion Pools; Forecasting and Prediction
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Jose, Victor Richmond R., Yael Grushka-Cockayne, and Kenneth C. Lichtendahl. "Trimmed Opinion Pools and the Crowd's Calibration Problem." Management Science 60, no. 2 (February 2014): 463–475.
  • 06 Oct 2008
  • Research & Ideas

Updating a Classic: Writing a Great Business Plan

uncertainty in the market, investors become quite risk averse. They will only back proven entrepreneurs with truly compelling ideas. People make the numbers, not conversely. So, I still think the people making the forecasts are more... View Details
Keywords: by Sean Silverthorne
  • 08 Sep 2014
  • News

How to see into the future

  • Teaching Interest

Overview

Paul is primarily interested in teaching data science to management students through the case method. This includes technical topics (programming and statistics) as well as higher-level management issues (digital transformation, data governance, etc.) As a research... View Details
Keywords: A/B Testing; AI; AI Algorithms; AI Creativity; Algorithm; Algorithm Bias; Algorithmic Bias; Algorithmic Fairness; Algorithms; Analytics; Application Program Interface; Artificial Intelligence; Causality; Causal Inference; Computing; Computers; Data Analysis; Data Analytics; Data Architecture; Data As A Service; Data Centers; Data Governance; Data Labeling; Data Management; Data Manipulation; Data Mining; Data Ownership; Data Privacy; Data Protection; Data Science; Data Science And Analytics Management; Data Scientists; Data Security; Data Sharing; Data Strategy; Data Visualization; Database; Data-driven Decision-making; Data-driven Management; Data-driven Operations; Datathon; Economics Of AI; Economics Of Innovation; Economics Of Information System; Economics Of Science; Forecast; Forecast Accuracy; Forecasting; Forecasting And Prediction; Information Technology; Machine Learning; Machine Learning Models; Prediction; Prediction Error; Predictive Analytics; Predictive Models; Analysis; AI and Machine Learning; Analytics and Data Science; Applications and Software; Digital Transformation; Information Management; Digital Strategy; Technology Adoption
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