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  • All HBS Web  (3,292)
    • News  (517)
    • Research  (2,501)
    • Events  (43)
    • Multimedia  (18)
  • Faculty Publications  (1,606)

Show Results For

  • All HBS Web  (3,292)
    • News  (517)
    • Research  (2,501)
    • Events  (43)
    • Multimedia  (18)
  • Faculty Publications  (1,606)
← Page 56 of 3,292 Results →
  • Research Summary

Voluntary Disclosure

Professor Kimbrough's early work focused on the determinants and economic consequences of firms’ disclosure practices related to earnings. This included examinations of management forecasts and earnings-related conference calls. View Details
  • 12 Jul 2016
  • First Look

July 12, 2016

Calibrating the model to data from the Financial Accounts of the U.S., the optimal capital requirement is around 20%. Download working paper: https://www.hbs.edu/faculty/Pages/item.aspx?num=51305 Bias in Official Fiscal Forecasts: Can Private View Details
Keywords: Sean Silverthorne
  • Article

The Best of Both Worlds: Integrating Conscious and Unconscious Thought Best Solves Complex Decisions

Two studies address the debate over whether conscious or unconscious mental processes best handle complex decisions. According to Unconscious Thought Theory (Dijksterhuis & Nordgren, 2006), both modes of thinking have particular advantages: conscious thought can follow... View Details
Keywords: Forecasting and Prediction; Values and Beliefs; Information; Knowledge Management; Management Skills; Management Style; Measurement and Metrics; Success; Research; Cognition and Thinking; Personal Characteristics; Perception
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Nordgren, Loran F., Maarten W. Bos, and Ap Dijksterhuis. "The Best of Both Worlds: Integrating Conscious and Unconscious Thought Best Solves Complex Decisions." Journal of Experimental Social Psychology 47, no. 2 (March 2011): 509–511.
  • Research Summary

Dawn Matsumoto's research investigates managers' financial reporting decisions including the incentives driving these decisions and the impact of these decisions on capital market participants. She is interested in the role of financial intermediaries (such as... View Details
  • 2011
  • Chapter

Prospective Codes Fufilled: A Potential Neural Mechanism of Will

By: Thalia Wheatley and Christine E. Looser
One of my few shortcomings is that I can’t predict the future.
Lars Ulrich, Metallica.

Lars Ulrich was right and wrong. He was right in the way we most often think about the future—as a long stretch of time during which multiply... View Details
Keywords: Free Will; Neuroscience; Responsibility; Prospection; Forecasting and Prediction; Science; Cognition and Thinking
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Wheatley, Thalia, and Christine E. Looser. "Prospective Codes Fufilled: A Potential Neural Mechanism of Will." Chap. 13 in Conscious Will and Responsibility: A Tribute to Benjamin Libet, edited by Walter Sinnott-Armstrong and Lynn Nadel, 146–158. New York: Oxford University Press, 2011.
  • June 2023
  • Case

Tractor Supply Co

By: David L. Ager and Michael A. Roberto
In February 2023, Hal Lawton, CEO of Tractor Supply Co, the largest farm and ranch retailer in the United States reflected on the company’s 70% growth between 2019 and 2022. Economists had begun to predict an economic downturn and experts were predicting softening... View Details
Keywords: COVID-19 Pandemic; Demand and Consumers; Economic Slowdown and Stagnation; Organizational Change and Adaptation; Retail Industry
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Ager, David L., and Michael A. Roberto. "Tractor Supply Co." Harvard Business School Case 923-302, June 2023.
  • January 2008
  • Background Note

Equity Options

By: Joshua Coval and Erik Stafford
The goal of this simulation is to understand the reliance of option values on volatility. When an investor trades an option, they are essentially trading volatility. Therefore, much of the focus in this lesson is on forecasting volatility. Students are able to use two... View Details
Keywords: Volatility; Forecasting and Prediction; Stock Options; Investment Return; Price; Market Transactions; Mathematical Methods; Value
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Coval, Joshua, and Erik Stafford. "Equity Options." Harvard Business School Background Note 208-118, January 2008.
  • July 2001
  • Technical Note

Technical Note on LBO Valuation (A): LBO Structure and the Target IRR Method of Valuation

By: Carliss Y. Baldwin
Explains the equity cash flow method of valuation as it applies to leveraged buyouts. Also explains: 1) earnings and cash flow forecasts, 2) debt structure and the cash sweep, 3) the cashing out horizon and terminal valuation, and 4) the target IRR method of valuation. View Details
Keywords: Valuation; Leveraged Buyouts; Capital Budgeting; Borrowing and Debt; Cash Flow; Equity; Profit; Price; Forecasting and Prediction
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Baldwin, Carliss Y. "Technical Note on LBO Valuation (A): LBO Structure and the Target IRR Method of Valuation." Harvard Business School Technical Note 902-004, July 2001.
  • 15 Dec 2015
  • News

The Year in Ideas 2015

will continue to see creative uses. I predict we’ll see more and more ‘line-waiting tasks’ for restaurants that don’t take reservations and for product launches.” —Jamie... View Details
Keywords: Julia Hanna, Christine Lejeune, Dan Morrell, and April White
  • 01 Dec 1998
  • News

Year 2000 Computer Problem and You: Disaster for Some, Lessons for All

With Y2K predictions running the gamut from glitches with home appliances to worldwide economic collapse, Y2K expert John F. Keane (MBA '54) assesses the situation as it appears with one year to go. John F. Keane is CEO View Details
  • June 2023 (Revised April 2025)
  • Case

Optimalen Capital

By: Malcolm Baker, Elisabeth Kempf and Jonathan Wallen
A new client portfolio manager at a quantitative investment management firm must explain why her firm, Optimalen Capital, has rebalanced a client portfolio with a set of trades that seem unintuitive. In particular, Optimalen has added to its position of Walmart (ticker... View Details
Keywords: Investments; CAPM; Capital Asset Pricing Model; Investment Portfolio; Asset Pricing; Stocks
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Baker, Malcolm, Elisabeth Kempf, and Jonathan Wallen. "Optimalen Capital." Harvard Business School Case 223-099, June 2023. (Revised April 2025.)
  • April 2003 (Revised December 2006)
  • Case

ZARA: Fast Fashion

By: Pankaj Ghemawat and Jose Luis Nueno
Focuses on Inditex, an apparel retailer from Spain, which has set up an extremely quick response system for its ZARA chain. Instead of predicting months before a season starts what women will want to wear, ZARA observes what's selling and what's not and continuously... View Details
Keywords: Organizational Change and Adaptation; Multinational Firms and Management; Competitive Advantage; Apparel and Accessories Industry; Apparel and Accessories Industry; Apparel and Accessories Industry; Spain
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Ghemawat, Pankaj, and Jose Luis Nueno. "ZARA: Fast Fashion." Harvard Business School Case 703-497, April 2003. (Revised December 2006.)
  • 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; Food and Beverage Industry; Food and Beverage Industry
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Whiston, William B. "Harmon Foods, Inc." Harvard Business School Case 171-248, December 1970. (Revised September 2006.)
  • February 2006 (Revised September 2007)
  • Background Note

Winner-Take-All in Networked Markets

By: Thomas R. Eisenmann
Discusses platform structure in new networked markets, that is, whether a market that exhibits network effects will be served by a single platform or by rival platforms. Defines "platforms" and "platform structure"; describes factors that influence the odds that a... View Details
Keywords: Forecasting and Prediction; Growth Management; Network Effects; Digital Platforms; Internet and the Web
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Eisenmann, Thomas R. "Winner-Take-All in Networked Markets." Harvard Business School Background Note 806-131, February 2006. (Revised September 2007.)
  • 15 Sep 2015
  • First Look

September 15, 2015

Operations Management Analytics for an Online Retailer: Demand Forecasting and Price Optimization By: Ferreira, Kris J., Bin Hong Alex Lee, and David Simchi-Levi Abstract—We... View Details
Keywords: Sean Silverthorne
  • 09 Dec 2019
  • News

Identify Great Customers from Their First Purchase

  • 21 Mar 2024
  • News

OC Alumni Get Clarity on AI; Inequality and Climate Change Explored in DC

sorts of negative consequences,” Toplansky says. “My point was that this is a critical part of future business strategy.” He described six different business strategies where AI—through predictive analytics View Details
Keywords: Margie Kelley
  • July 2007 (Revised November 2007)
  • Case

Leasing Computers at Persistent Learning

Newly public Persistent Learning is acquiring vital computer assets. They need to determine how the lease or purchase decision will impact their financial statements, and how the market will react given previously forecast earnings and competitor's accounting. View Details
Keywords: Information Infrastructure; Financial Statements; Leasing
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Shanthikumar, Devin M. "Leasing Computers at Persistent Learning." Harvard Business School Case 108-014, July 2007. (Revised November 2007.)
  • April 1999 (Revised March 2001)
  • Case

Be Our Guest, Inc.

By: Dwight B. Crane and Penny Joseph
Be Our Guest is a rapidly growing equipment rental company with substantial seasonality in its revenues and profits. In the spring of 1998, the senior management team is reviewing its financial plans in preparation for a meeting with the company's bank. The case... View Details
Keywords: Financial Strategy; Borrowing and Debt; Banks and Banking; Revenue; Management Teams; Business Plan; Forecasting and Prediction; Utilities Industry; Service Industry
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Crane, Dwight B., and Penny Joseph. "Be Our Guest, Inc." Harvard Business School Case 299-001, April 1999. (Revised March 2001.)
  • March 1980 (Revised February 1987)
  • Case

Sweco, Inc. (A)

By: Michael E. Porter and George S. Yip
Describes Sweco's decision about whether to enter the mud-processing equipment industry (used in oil well drilling). This is an internal entry decision, and the case describes Sweco's existing businesses as well as the mud-processing industry and competitors. The case... View Details
Keywords: Cost vs Benefits; Decisions; Forecasting and Prediction; Cost; Analytics and Data Science; Market Entry and Exit; Competition
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Porter, Michael E., and George S. Yip. "Sweco, Inc. (A)." Harvard Business School Case 380-167, March 1980. (Revised February 1987.)
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