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  • All HBS Web  (121)
    • News  (13)
    • Research  (99)
  • Faculty Publications  (50)

Show Results For

  • All HBS Web  (121)
    • News  (13)
    • Research  (99)
  • Faculty Publications  (50)
← Page 3 of 121 Results →
  • February 1994 (Revised May 1995)
  • Case

Metallgesellschaft AG

By: David F. Hawkins and Guy J. Weyns
Metallgesellschaft AG is a commodity and engineering conglomerate based in Frankfurt am Main, Germany. Metallgesellschaft Corp., a New York based subsidiary of the group, has made oil trading and hedging errors that could drive the group into insolvency. The impact of... View Details
Keywords: Accounting Audits; Business Conglomerates; Forecasting and Prediction; Trade; Non-Renewable Energy
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Hawkins, David F., and Guy J. Weyns. "Metallgesellschaft AG." Harvard Business School Case 194-097, February 1994. (Revised May 1995.)

    Kris Johnson Ferreira

    Kris Ferreira is the Edgerley Family Associate Professor of Business Administration in the Technology and Operations Management (TOM) Unit. She teaches the Supply Chain Management course in the MBA elective curriculum and analytics in numerous Executive Education... View Details

    Keywords: retailing
    • 2023
    • Working Paper

    The Complexity of Economic Decisions

    By: Xavier Gabaix and Thomas Graeber
    We propose a theory of the complexity of economic decisions. Leveraging a macroeconomic framework of production functions, we conceptualize the mind as a cognitive economy, where a task’s complexity is determined by its composition of cognitive operations. Complexity... View Details
    Keywords: Decisions; Complexity; Perception; Consumer Behavior; Production
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    Gabaix, Xavier, and Thomas Graeber. "The Complexity of Economic Decisions." Harvard Business School Working Paper, No. 24-049, February 2024.
    • 2018
    • Working Paper

    Quantile Forecasts of Product Life Cycles Using Exponential Smoothing.

    By: Xiaojia Guo, Kenneth C. Lichtendahl Jr. and Yael Grushka-Cockayne
    We introduce an exponential smoothing model that a manager can use to forecast the demand of a new product or service. The model has five features that make it suitable for accurately forecasting product life cycles at scale. First, the trend in our model follows the... View Details
    Keywords: New Product Development; Demand Forecasting; Product Adoption; Innovation Diffusion; Product Development; Demand and Consumers; Forecasting and Prediction; Adoption
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    Guo, Xiaojia, Kenneth C. Lichtendahl Jr., and Yael Grushka-Cockayne. "Quantile Forecasts of Product Life Cycles Using Exponential Smoothing." Harvard Business School Working Paper, No. 19-038, October 2018. (Darden Business School Working Paper, No. 2805244, July 2016.)
    • February 2005
    • Article

    Financial Analyst Characteristics and Herding Behavior in Forecasting

    By: Michael B. Clement and Senyo Tse
    This study classifies analysts' earnings forecasts as herding or bold and finds that (1) boldness likelihood increases with the analyst's prior accuracy, brokerage size, and experience and declines with the number of industries the analyst follows, consistent with... View Details
    Keywords: Experience and Expertise; Forecasting and Prediction; Performance Evaluation; Financial Services Industry
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    Clement, Michael B., and Senyo Tse. "Financial Analyst Characteristics and Herding Behavior in Forecasting." Journal of Finance 60, no. 1 (February 2005): 307–341.
    • 11 Jan 2007
    • Working Paper Summaries

    A Perceptions Framework for Categorizing Inventory Policies in Single-stage Inventory Systems

    Keywords: by Noel Watson
    • 2016
    • Working Paper

    Bias in Official Fiscal Forecasts: Can Private Forecasts Help?

    By: Jeffrey A. Frankel and Jesse Schreger
    Government forecasts of GDP growth and budget balances are generally more over optimistic than private sector forecasts. When official forecasts are especially optimistic relative to private forecasts ex ante, they are more likely also to be over optimistic relative to... View Details
    Keywords: Forecasting and Prediction; Macroeconomics
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    Frankel, Jeffrey A., and Jesse Schreger. "Bias in Official Fiscal Forecasts: Can Private Forecasts Help?" NBER Working Paper Series, No. 22349, June 2016.
    • 2023
    • Working Paper

    PRIMO: Private Regression in Multiple Outcomes

    By: Seth Neel
    We introduce a new differentially private regression setting we call Private Regression in Multiple Outcomes (PRIMO), inspired the common situation where a data analyst wants to perform a set of l regressions while preserving privacy, where the covariates... View Details
    Keywords: Analytics and Data Science; Mathematical Methods
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    Neel, Seth. "PRIMO: Private Regression in Multiple Outcomes." Working Paper, March 2023.
    • 2023
    • Working Paper

    Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness

    By: Neil Menghani, Edward McFowland III and Daniel B. Neill
    In this paper, we develop a new criterion, "insufficiently justified disparate impact" (IJDI), for assessing whether recommendations (binarized predictions) made by an algorithmic decision support tool are fair. Our novel, utility-based IJDI criterion evaluates false... View Details
    Keywords: AI and Machine Learning; Forecasting and Prediction; Prejudice and Bias
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    Menghani, Neil, Edward McFowland III, and Daniel B. Neill. "Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness." Working Paper, June 2023.
    • 2013
    • Article

    Boardroom Centrality and Firm Performance

    By: David F. Larcker, Eric C. So and Charles C.Y. Wang
    Firms with central or well-connected boards of directors earn superior risk-adjusted stock returns. Initiating a long position in the most central firms and a short position in the least central firms earns an average risk-adjusted return of 4.68% per year. Firms with... View Details
    Keywords: Networks; Governing and Advisory Boards; Forecasting and Prediction; Performance
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    Larcker, David F., Eric C. So, and Charles C.Y. Wang. "Boardroom Centrality and Firm Performance." Journal of Accounting & Economics 55, nos. 2-3 (April–May 2013): 225–250.
    • 12 Jan 2009
    • Research & Ideas

    The Value of a ‘Portable’ Career

    organizations much like many others, subject to the errors that are common elsewhere. But their successes and failures are highly visible and amplified by the fact that they perform in a zero-sum world. In order for one team to win,... View Details
    Keywords: by Martha Lagace; Sports
    • Research Summary

    Overview

    By: Ethan C. Rouen
    Relying on empirical archival methodologies—as well as techniques in data science—to develop and structure new sources of data by which to approach questions of looming disclosure changes, Professor Rouen has focused on one of the Securities and Exchange Commission’s... View Details
    • 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.
    • 12 Jun 2018
    • First Look

    New Research and Ideas, June 12, 2018

    technology, but these results are driven almost entirely by heterogeneous effects by those with and without computer science and engineering (CS&E) backgrounds. Specifically, tests of underlying mechanisms reveal that unlocking superior View Details
    Keywords: Dina Gerdeman
    • 20 Aug 2013
    • First Look

    First Look: August 20

    evidence. In our model, firms over-extrapolate exogenous demand shocks and partially neglect the endogenous investment responses of their competitors. Formal estimation of the model confirms that both types of expectational errors are... View Details
    Keywords: Anna Secino
    • 12 Jul 2016
    • First Look

    July 12, 2016

    forecasts as an input into the government budgeting-making process would probably reduce official forecast errors for budget deficits. Download working paper: https://www.hbs.edu/faculty/Pages/item.aspx?num=51324 College Tuition, Public... View Details
    Keywords: Sean Silverthorne
    • 22 Feb 2024
    • Research & Ideas

    How to Make AI 'Forget' All the Private Data It Shouldn't Have

    predictions about the world. And now, even though generative AI feels very different from making a simple prediction, at a technical level, that's really what it is. In order to train these predictive... View Details
    Keywords: by Rachel Layne; Technology; Information Technology
    • 17 Aug 2020
    • Research & Ideas

    What the Stockdale Paradox Tells Us About Crisis Leadership

    naturally that way; I knew too much about the politics of Asia when I got shot down. I think there was a lot of damage done by optimists; other writers from other wars share that opinion. The problem is, some people believe what professional optimists are passing out... View Details
    Keywords: by Boris Groysberg and Robin Abrahams
    • Web

    Behavioral Finance & Financial Stability

    of small firms. See Robin’s other research here , Benjamin’s other research here , and David’s other research here . More Info Overreaction in Macroeconomic Expectations By: Pedro Bordalo , Nicola Gennaioli , Yueran Ma & Andrei Shleifer SEP 2020 What does View Details
    • 22 Oct 2019
    • Research & Ideas

    Use Artificial Intelligence to Set Sales Targets That Motivate

    advanced analytics that incorporate artificial intelligence (AI). “Chung has seen companies dramatically improve productivity after adopting advanced analytics to guide compensation.” In an ideal world, a company would use trial and error... View Details
    Keywords: by Michael Blanding
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