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Show Results For
- All HBS Web
(3,296)
- News (517)
- Research (2,504)
- Events (43)
- Multimedia (18)
- Faculty Publications (1,610)
- 23 Oct 2018
- First Look
New Research and Ideas, October 23, 2018
Data and Machine Learning By: Guo, Xiaojia, Yael Grushka-Cockayne, and Bert De Reyck Abstract—Problem definition: In collaboration with Heathrow Airport, we develop a View Details
Keywords: Dina Gerdeman
- February 2010
- Background Note
Marketing Analysis Toolkit: Market Size and Market Share Analysis
By: Thomas J. Steenburgh and Jill Avery
Marketers frequently need to estimate the size of their markets—both for existing products so that sales forecasts can be developed and for new products so that market opportunities can be assessed. This toolkit enables students to size a market and generate a sales... View Details
Keywords: Forecasting and Prediction; Management Analysis, Tools, and Techniques; Marketing Strategy; Markets; Demand and Consumers; Size; Strategic Planning; Sales
Steenburgh, Thomas J., and Jill Avery. "Marketing Analysis Toolkit: Market Size and Market Share Analysis." Harvard Business School Background Note 510-081, February 2010.
- 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
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.)
- August 2020
- Article
Financial Market Risk Perceptions and the Macroeconomy
By: Carolin E. Pflueger, Emil Siriwardane and Adi Sunderam
We propose a novel measure of risk perceptions: the price of volatile stocks (PVS), defined as the book-to-market ratio of low-volatility stocks minus the book-to-market ratio of high-volatility stocks. PVS is high when perceived risk directly measured from surveys and... View Details
Keywords: Risk-centric Business Cycles; Cross-section Of Equities; Real Risk-free Rate; Real Investment; Financial Markets; Risk and Uncertainty; Perception; Investment
Pflueger, Carolin E., Emil Siriwardane, and Adi Sunderam. "Financial Market Risk Perceptions and the Macroeconomy." Quarterly Journal of Economics 135, no. 3 (August 2020).
- June 2013
- Article
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
Greenwood, Robin, and Samuel G. Hanson. "Issuer Quality and Corporate Bond Returns." Review of Financial Studies 26, no. 6 (June 2013): 1483–1525. (Internet Appendix Here.)
- March 2005 (Revised March 2006)
- Background Note
Activity-Based Costing and Capacity
By: Robert S. Kaplan
Discusses the use of budgeted rather than historical data in an activity-based costing (ABC) model and argues for calculating rates using practical capacity, not actual utilization. An ABC model need not be limited to analysis of historical data. When cost driver rates... View Details
Kaplan, Robert S. "Activity-Based Costing and Capacity." Harvard Business School Background Note 105-059, March 2005. (Revised March 2006.)
- July 2005 (Revised January 2009)
- Case
Paper and More (A)
Provides a context and exercise for introducing retail inventory management, including cost optimization, service-level criteria, and forecasting in single and multiproduct settings. The owner of a single-location paper and paper products store considers the... View Details
Keywords: Cost Management; Measurement and Metrics; Logistics; Sales; Expansion; Consumer Products Industry; Retail Industry
Watson, Noel H. "Paper and More (A)." Harvard Business School Case 606-023, July 2005. (Revised January 2009.)
- 2019
- Working Paper
Soul and Machine (Learning)
By: Davide Proserpio, John R. Hauser, Xiao Liu, Tomomichi Amano, Alex Burnap, Tong Guo, Dokyun Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu and Hema Yoganarasimhan
Machine learning is bringing us self-driving cars, improved medical diagnostics, and machine translation, but can it improve marketing decisions? It can. Machine learning models predict extremely well, are scalable to “big data,” and are a natural fit to rich media... View Details
Proserpio, Davide, John R. Hauser, Xiao Liu, Tomomichi Amano, Alex Burnap, Tong Guo, Dokyun Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu, and Hema Yoganarasimhan. "Soul and Machine (Learning)." Harvard Business School Working Paper, No. 20-036, September 2019.
- 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
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.
- August 2018
- Article
Extrapolation and Bubbles
By: Nicholas Barberis, Robin Greenwood, Lawrence Jin and Andrei Shleifer
We present an extrapolative model of bubbles. In the model, many investors form their demand for a risky asset by weighing two signals: an average of the asset’s past price changes and the asset’s degree of overvaluation. The two signals are in conflict, and investors... View Details
Barberis, Nicholas, Robin Greenwood, Lawrence Jin, and Andrei Shleifer. "Extrapolation and Bubbles." Journal of Financial Economics 129, no. 2 (August 2018): 203–227.
- November, 2021
- Article
Self Control and Smartphone Use: An Experimental Study of Soft Commitment Devices
By: Ruru Hoong
Public discussion and discourse amongst researchers suggest that smartphone use is excessive from an individual welfare standpoint, but evidence for this remains limited. I implement a randomized intervention encouraging a subset of 629 participants to adopt soft... View Details
Keywords: Social Media; Commitment; Randomized Controlled Trial; Smartphones; Addiction; Technological Change: Choices And Consequences; Behavior; Mobile and Wireless Technology; Well-being
Hoong, Ruru. "Self Control and Smartphone Use: An Experimental Study of Soft Commitment Devices." Special Issue on Nudges and Incentives. European Economic Review 140 (November, 2021).
- October 2002
- Article
Differences of Opinion and the Cross-Section of Stock Returns
By: Karl B. Diether, Christopher J. Malloy and Anna Scherbina
We provide evidence that stocks with higher dispersion in analysts' earnings forecasts earn lower future returns than otherwise similar stocks. This effect is most pronounced in small stocks, and stocks that have performed poorly over the past year. Interpreting... View Details
Diether, Karl B., Christopher J. Malloy, and Anna Scherbina. "Differences of Opinion and the Cross-Section of Stock Returns." Journal of Finance 57, no. 5 (October 2002): 2113–2141.
- Article
Soul and Machine (Learning)
By: Davide Proserpio, John R. Hauser, Xiao Liu, Tomomichi Amano, Burnap Alex, Tong Guo, Dokyun (DK) Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu and Hema Yoganarasimhan
Machine learning is bringing us self-driving cars, medical diagnoses, and language translation, but how can machine learning help marketers improve marketing decisions? Machine learning models predict extremely well, are scalable to “big data,” and are a natural fit to... View Details
Keywords: Machine Learning; Marketing Applications; Knowledge; Technological Innovation; Core Relationships; Marketing; Applications and Software
Proserpio, Davide, John R. Hauser, Xiao Liu, Tomomichi Amano, Burnap Alex, Tong Guo, Dokyun (DK) Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu, and Hema Yoganarasimhan. "Soul and Machine (Learning)." Marketing Letters 31, no. 4 (December 2020): 393–404.
- 2003
- Article
The Influence of Culture and Corporate Governance on the Characteristics that Distinguish Superior Analysts
By: Michael B. Clement, Lynn Rees and Edward Swanson
We identify characteristics of financial analysts that have been shown to be associated with relative forecast accuracy in the United States and examine these characteristics within 10 countries. We find that relative forecast accuracy is influenced by years of... View Details
Clement, Michael B., Lynn Rees, and Edward Swanson. "The Influence of Culture and Corporate Governance on the Characteristics that Distinguish Superior Analysts." Journal of Accounting, Auditing & Finance 18, no. 4 (2003): 593–618.
- Research Summary
Sell-Side Analysts and Legacy Spinoffs
This paper investigates how well analysts do at evaluating spinoffs of legacy businesses vis-à-vis other spinoffs. Analysts appear to be far more conservative in the earnings forecasts they make for legacy businesses and their parents than they are for... View Details
- 04 Oct 2019
- Working Paper Summaries
Soul and Machine (Learning)
- 2016
- Working Paper
Credit-Market Sentiment and the Business Cycle
By: David Lopez-Salido, Jeremy C. Stein and Egon Zakrajsek
Using U.S. data from 1929 to 2013, we show that elevated credit-market sentiment in year t – 2 is associated with a decline in economic activity in years t and t + 1. Underlying this result is the existence of predictable mean reversion in credit-market conditions.... View Details
Lopez-Salido, David, Jeremy C. Stein, and Egon Zakrajsek. "Credit-Market Sentiment and the Business Cycle." NBER Working Paper Series, No. 21879, January 2016.
- 2008
- Article
Warmth and Competence As Universal Dimensions of Social Perception: The Stereotype Content Model and the BIAS Map
By: A. J.C. Cuddy, S. T. Fiske and P. Glick
The stereotype content model (SCM) defines two fundamental dimensions of social perception, warmth and competence, predicted respectively by perceived competition and status. Combinations of warmth and competence generate distinct emotions of admiration, contempt,... View Details
Keywords: Perception; Competency and Skills; Prejudice and Bias; Emotions; Business Model; Behavior; Research; Competition; Status and Position; Cognition and Thinking; Groups and Teams
Cuddy, A. J.C., S. T. Fiske, and P. Glick. "Warmth and Competence As Universal Dimensions of Social Perception: The Stereotype Content Model and the BIAS Map." Advances in Experimental Social Psychology 40 (2008): 61–149.
- 2021
- Chapter
Digital Transformation and the Salesforce: Observations, Warnings, and Recommendations
By: Frank V. Cespedes
Sales is a crucial test for organizational change, including productive use (or not) of new technologies. Changes in selling always have wider organizational implications, because so many other decisions and resource commitments in firms depend upon demand forecasts... View Details
Keywords: Sales; Salesforce Management; Organizational Change and Adaptation; Digital Transformation
Cespedes, Frank V. "Digital Transformation and the Salesforce: Observations, Warnings, and Recommendations." In Managing Digital Transformation: Understanding the Strategic Process, edited by Andreas Hinterhuber, Tiziano Vescovi, and Francesca Checchinato. Routledge, 2021.
- 28 Jun 2007
- Working Paper Summaries