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- Research (2,171)
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- Faculty Publications (1,383)
Show Results For
- All HBS Web
(2,834)
- News (448)
- Research (2,171)
- Events (39)
- Multimedia (14)
- Faculty Publications (1,383)
- December 1970 (Revised September 2006)
- Case
Harmon Foods, Inc.
Prediction and shipment has been a scheduling and budgetary problem. Multiple regression is suggested as a solution. Evaluation of regression coefficients leads to better understanding of trend, seasonality, and promotion effectiveness. View Details
Keywords: Demand and Consumers; Production; Forecasting and Prediction; Budgets and Budgeting; Manufacturing Industry; Food and Beverage Industry
Whiston, William B. "Harmon Foods, Inc." Harvard Business School Case 171-248, December 1970. (Revised September 2006.)
The Link Between Bonds and Individual Stocks
Government bonds comove more strongly with bond-like stocks: stocks of large, mature, low-volatility, profitable, dividend-paying firms that are neither high growth nor distressed. Variables derived from the yield curve that are already known to predict returns on... View Details
- Article
Can Analysts Assess Fundamental Risk and Valuation Uncertainty? An Empirical Analysis of Scenario-Based Value Estimates
By: Peter R. Joos, Joseph D. Piotroski and Suraj Srinivasan
We use a dataset of sell-side analysts' scenario-based valuation estimates to examine whether analysts reliably assess the risk surrounding a firm's fundamental value. We find that the spread in analysts' state-side contingent valuations captures the riskiness of... View Details
Keywords: Analyst Forecasts; Scenarios; Uncertainty; Risk and Uncertainty; Valuation; Forecasting and Prediction
Joos, Peter R., Joseph D. Piotroski, and Suraj Srinivasan. "Can Analysts Assess Fundamental Risk and Valuation Uncertainty? An Empirical Analysis of Scenario-Based Value Estimates." Journal of Financial Economics 121, no. 3 (September 2016): 645–663.
Siyu Zhang
Siyu Zhang is a second-year doctoral student at HBS. Prior to joining HBS. He was a Data Scientist at John Hancock, where he utilized machine learning models to predict the classification of insurance policy applications. Siyu is a former Investment Director at... View Details
- 2009
- Article
Social Structure Shapes Cultural Stereotypes and Emotions: A Causal Test of the Stereotype Content Model
By: P. Caprariello, A.J.C. Cuddy and S.T. Fiske
The stereotype content model (SCM) posits that social structure predicts specific cultural stereotypes and associated emotional prejudices (Fiske et al., 2002). No prior evidence at a societal level has manipulated both structural predictors and measured both... View Details
Keywords: Competency and Skills; Mathematical Methods; Emotions; Personal Characteristics; Prejudice and Bias; Status and Position; Culture; Competition
Caprariello, P., A.J.C. Cuddy, and S.T. Fiske. "Social Structure Shapes Cultural Stereotypes and Emotions: A Causal Test of the Stereotype Content Model." Group Processes & Intergroup Relations 12, no. 2 (2009): 147–155.
- 02 May 2013
- HBS Seminar
Eric Werker, Harvard Business School
- 14 Mar 2023
- Cold Call Podcast
Can AI and Machine Learning Help Park Rangers Prevent Poaching?
- 17 Dec 2020
- Research & Ideas
The 10 Most Popular Stories of 2020
about the most interesting business trends of the year, and your predictions for 2021. Top 10 most popular stories Merck CEO Ken Frazier Discusses a COVID Cure, Racism, and Why Leaders Need to Walk the Talk Ken Frazier, one of only four... View Details
Keywords: by Dina Gerdeman
- 13 Nov 2019
- Research & Ideas
Don't Turn Your Marketing Function Over to AI Just Yet
Imagine a future in which a smart marketing machine can predict the needs and habits of individual consumers and the dynamics of competitors across industries and markets. This device would collect data to answer strategic questions, guide managerial decisions, and... View Details
Keywords: by Kristen Senz
- September 1996 (Revised March 2002)
- Case
Bishay Industries
By: David F. Hawkins and Norman Bartczak
A bankrupt company has a turnaround plan. Students are asked to predict whether it will be successful. View Details
Keywords: Insolvency and Bankruptcy; Business Plan; Goals and Objectives; Strategic Planning; Business Strategy; Cash Flow; Mathematical Methods; Financial Services Industry
Hawkins, David F., and Norman Bartczak. "Bishay Industries." Harvard Business School Case 197-024, September 1996. (Revised March 2002.)
- 20 Oct 2011
- Research & Ideas
Getting the Marketing Mix Right
their FSL model, however, the results provided much greater detail about the potential effects of different marketing investments. For example, the model predicted that sales gains from DTCA and M&E would come primarily through... View Details
Keywords: by Dina Gerdeman
- 02 Aug 2010
- News
Four Things Groups Want that Leaders Can't Give — and One They Can
- 04 Oct 2017
- News
Researchers Combat Gender and Racial Bias in Artificial Intelligence
- January 1995
- Background Note
A Note on Distribution of Venture Investments
By: Josh Lerner
Venture capitalists typically exit investments by distributing shares to investors. These transfers pose challenges for these investors. Predictions and evidence about the behavior of stock prices of firms around the time of these distributions are presented. View Details
Lerner, Josh. "A Note on Distribution of Venture Investments." Harvard Business School Background Note 295-095, January 1995.
- 2023
- Working Paper
New Facts and Data about Professors and Their Research
By: Kyle Myers, Wei Yang Tham, Jerry Thursby, Marie Thursby, Nina Cohodes, Karim R. Lakhani, Rachel Mural and Yilun Xu
We introduce a new survey of professors at roughly 150 of the most research-intensive institutions of higher education in the US. We document seven new features of how research-active professors are compensated, how they spend their time, and how they perceive their... View Details
Keywords: Research; Higher Education; Compensation and Benefits; Measurement and Metrics; Equality and Inequality; Performance Productivity
Myers, Kyle, Wei Yang Tham, Jerry Thursby, Marie Thursby, Nina Cohodes, Karim R. Lakhani, Rachel Mural, and Yilun Xu. "New Facts and Data about Professors and Their Research." Harvard Business School Working Paper, No. 24-036, December 2023.
- March 2005
- Article
Short- and Long-term Demand Curves for Stocks: Theory and Evidence on the Dynamics of Arbitrage
By: Robin Greenwood
I develop a framework to analyze demand curves for multiple risky securities at extended horizons in a setting with limits-to-arbitrage. Following an unexpected change in uninformed investor demand for several assets, I predict returns of each security to be... View Details
Keywords: Limits To Arbitrage; Event Studies; Demand Curves; Portfolio Choice; Framework; Demand and Consumers; Change; Risk and Uncertainty; Debt Securities; Forecasting and Prediction; Stocks; Assets; Investment Portfolio; System Shocks; Price; Japan
Greenwood, Robin. "Short- and Long-term Demand Curves for Stocks: Theory and Evidence on the Dynamics of Arbitrage." Journal of Financial Economics 75, no. 3 (March 2005): 607–649.
Fortune Tellers
The period leading up to the Great Depression witnessed the rise of economic forecasters, pioneers who sought to use the tools of science to predict the future, with the aim of profiting from their forecasts. This book chronicles the lives and careers of the men who... View Details
- 05 Aug 2024
- Research & Ideas
Watching for the Next Economic Downturn? Follow Corporate Debt
What really fuels a boom-and-bust cycle in the modern global economy? It’s not always household debt, says a new paper that parses in-depth data across 115 countries. Instead, rising corporate debt may flash the clearest warning that a fiscal crisis is on the horizon.... View Details
Keywords: by Rachel Layne
- December 2019
- Case
Forecasting ClimaCell
By: Joshua Lev Krieger, Christopher Stanton and James Barnett
A weather technology startup, ClimaCell considers the R&D trade-offs and financing implications of pursuing a proposed contract with a major automobile maker, rather than continuing its focus on building a scalable, all-purpose weather prediction engine. View Details
Keywords: Weather; Forecasting and Prediction; Technological Innovation; Research and Development; Finance; Cost vs Benefits; Decision Making; Strategy
Krieger, Joshua Lev, Christopher Stanton, and James Barnett. "Forecasting ClimaCell." Harvard Business School Case 820-044, December 2019.