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  • All HBS Web  (3,386)
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    • Events  (43)
    • Multimedia  (18)
  • Faculty Publications  (1,616)
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  • 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
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Pflueger, Carolin E., Emil Siriwardane, and Adi Sunderam. "Financial Market Risk Perceptions and the Macroeconomy." Quarterly Journal of Economics 135, no. 3 (August 2020).
  • 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
Keywords: Activity Based Costing and Management; Accounting Industry
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Kaplan, Robert S. "Activity-Based Costing and Capacity." Harvard Business School Background Note 105-059, March 2005. (Revised March 2006.)
  • 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
Keywords: Machine Learning; Technological Innovation; Marketing; AI and Machine Learning
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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.
  • 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
Keywords: Bubble; Extrapolation; Volume; Price Bubble; Mathematical Methods
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Barberis, Nicholas, Robin Greenwood, Lawrence Jin, and Andrei Shleifer. "Extrapolation and Bubbles." Journal of Financial Economics 129, no. 2 (August 2018): 203–227.
  • 2016
  • Working Paper

Private Networks of Managers and Financial Analysts and Their Externality on a Firm's Information Environment

By: Zengquan Li, T.J. Wong and Gwen Yu
When emerging market firms raise external capital, they face a tradeoff where greater transparency may lead to a lower cost of capital but at the cost of revealing proprietary information in their relational business practices. We find that firms overcome this... View Details
Keywords: Emerging Market; Financial Analysts; Information; Emerging Markets; Forecasting and Prediction; Corporate Governance
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Li, Zengquan, T.J. Wong, and Gwen Yu. "Private Networks of Managers and Financial Analysts and Their Externality on a Firm's Information Environment." Harvard Business School Working Paper, No. 16-135, June 2016. (Revised October 2016.)
  • 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
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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
Keywords: Forecasting and Prediction; Performance Evaluation
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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

  • 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
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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).
  • 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
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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.
  • 04 Oct 2019
  • Working Paper Summaries

Soul and Machine (Learning)

Keywords: by Davide Proserpio, John R. Hauser, Xiao Liu, Tomomichi Amano et al.
  • 2014
  • Working Paper

Financing Risk and Innovation

By: Ramana Nanda and Matthew Rhodes-Kropf
We provide a model of investment into new ventures that demonstrates why some places, times, and industries should be associated with a greater degree of experimentation by investors. Investors respond to financing risk―a forecast of limited future funding―by modifying... View Details
Keywords: Business Startups; Venture Capital; Financial Markets; Financing and Loans; Investment; Price Bubble; Innovation and Invention; Technological Innovation; Risk and Uncertainty
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Nanda, Ramana, and Matthew Rhodes-Kropf. "Financing Risk and Innovation." Harvard Business School Working Paper, No. 11-013, August 2010. (Revised March 2014.)
  • 28 Jun 2007
  • Working Paper Summaries

Film Rentals and Procrastination: A Study of Intertemporal Reversals in Preferences and Intrapersonal Conflict

Keywords: by Katy Milkman, Todd Rogers & Max H. Bazerman; Entertainment & Recreation
  • 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
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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.
  • December 2008
  • Article

Style Investing and Institutional Investors

By: Kenneth A. Froot and Melvyn Teo
This paper explores institutional investors' trades in stocks grouped by style and the relationship of these trades with equity market returns. It aggregates transactions drawn from a large universe of approximately $6 trillion of institutional funds. To analyze style... View Details
Keywords: Forecasting and Prediction; Behavioral Finance; Stocks; Investment Return; Market Transactions; Performance Expectations; Personal Characteristics; Financial Services Industry
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Froot, Kenneth A., and Melvyn Teo. "Style Investing and Institutional Investors." Journal of Financial and Quantitative Analysis 43, no. 4 (December 2008): 883–906. (Revised from: Equity Style Returns and Institutional Investor Flows, Harvard Business School Working Paper No. 04-048, June 2004.)
  • 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
Keywords: Investment; Credit; Macroeconomics
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Lopez-Salido, David, Jeremy C. Stein, and Egon Zakrajsek. "Credit-Market Sentiment and the Business Cycle." NBER Working Paper Series, No. 21879, January 2016.
  • December 2007
  • Article

The Roles of Task-Specific Experience and Innate Ability in Understanding Analyst Performance

By: Michael B. Clement, Lisa Koonce and Thomas Lopez
Considerable debate exists about what analyst experience measures and whether analysts learn from their experiences. Extant research has argued that once innate ability is considered, analysts’ general and firm-specific experiences are not relevant to understanding... View Details
Keywords: Experience and Expertise; Learning; Performance Evaluation; Forecasting and Prediction; Financial Services Industry
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Clement, Michael B., Lisa Koonce, and Thomas Lopez. "The Roles of Task-Specific Experience and Innate Ability in Understanding Analyst Performance." Journal of Accounting & Economics 44, no. 3 (December 2007): 378–398.
  • February 2006 (Revised August 2006)
  • Case

Kevin McCarthy and Westlake Chemical Corporation (A)

Examines forecasting earnings/performance for a commodity chemical firm during a period of high uncertainty, highlighting the combined effects of input process (natural gas), industry capacity/utilization, and cyclicality. Assuming the role of Kevin McCarthy (the top... View Details
Keywords: Risk and Uncertainty; Futures and Commodity Futures; Forecasting and Prediction; Chemicals; Chemical Industry
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Riedl, Edward J. "Kevin McCarthy and Westlake Chemical Corporation (A)." Harvard Business School Case 106-049, February 2006. (Revised August 2006.)
  • Summer 2021
  • Article

Platform Leadership and Supply Chains: Intel, Centrino, and the Restructuring of Wi-Fi Supply

By: Roberto Fontana and Shane Greenstein
In this paper we examine Intel’s launch of Centrino and interpret it as platform leaders attempt to restructure a supply chain. We provide a narrative of key actions and how they coordinated changes and offer a framework of the predictable consequences for... View Details
Keywords: Mobile and Wireless Technology; Product Launch; Supply Chain; Restructuring; Framework
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Fontana, Roberto, and Shane Greenstein. "Platform Leadership and Supply Chains: Intel, Centrino, and the Restructuring of Wi-Fi Supply." Journal of Economics & Management Strategy 30, no. 2 (Summer 2021): 259–286.
  • Forthcoming
  • Article

Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation

By: Maya Balakrishnan, Kris Ferreira and Jordan Tong
Even if algorithms make better predictions than humans on average, humans may sometimes have private information which an algorithm does not have access to that can improve performance. How can we help humans effectively use and adjust recommendations made by... View Details
Keywords: AI and Machine Learning; Analytics and Data Science; Forecasting and Prediction; Digital Marketing
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Balakrishnan, Maya, Kris Ferreira, and Jordan Tong. "Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation." Management Science (forthcoming). (Pre-published online March 24, 2025.)
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