Dogs of the Dow

Malcolm  Baker; Samuel G. Hanson; James  Weber

Case | HBS Case Collection | January 2015 (Revised October 2018)

Dogs of the Dow

by Malcolm Baker, Samuel G. Hanson and James Weber

Abstract

This case describes the Dogs of the Dow investment strategy, value investing, and using dividend yields as a means to determine intrinsic value. It also describes exchange traded notes and a particular exchange traded note, known as the Dogs of the Dow, which tracks the performance of the 10 highest yielding stocks of the 30 stocks that make up the Dow Jones Industrial Average (DJIA). The case provides share price data, dividend data, and financial statement data on the 30 DJIA companies to enable students to perform their own calculations.

Keywords: Dow Jones; Dow Jones Industrial Average; Exchange Traded Note; Exchange Traded Fund; value investing; Benjamin Graham; investment strategy; dividend yield; intrinsic value; dividend discount model; Michael O'Higgins; Financial Instruments; Investment; Strategy; Financial Services Industry; United States;

Language: English

Format: Print

19 pages

Educators Purchase

Citation:

Baker, Malcolm, Samuel G. Hanson, and James Weber. "Dogs of the Dow." Harvard Business School Case 215-020, January 2015. (Revised October 2018.)

Case | HBS Case Collection | October 2019 (Revised February 2020)

The Predictive Index

Lynda M. Applegate and James Weber

Mike Zani and Daniel Muzquiz needed to decide next steps to create a new category in the human resources consulting industry and scale their company.
Zani and Muzquiz, serial entrepreneurs, acquired Predictive Index in 2014. Previously, as clients of the 65-year-old Predictive Index, they had used its behavioral assessment tool to help them hire staff and build teams and they strongly believed in its value. They also believed, however, that Predictive Index had the potential to be something more. After acquiring the company, they invested in technology and people to modernize the business, and Predictive Index earned recognition as a “best place to work.” In 2018, they developed a Talent Optimization platform, an offering that had the potential to transform the industry by helping companies align their business strategies with their human capital and leadership development strategies. In late 2019, as they prepared a broad rollout of Talent Optimization, and planned to scale their business by an order of magnitude, the pair wondered what hurdles they might face along the way and what other steps they should take to reach their goals.

Keywords: Human Resources; Selection and Staffing; Talent and Talent Management; Recruitment; Corporate Entrepreneurship; Venture Capital; Change Management; Disruptive Innovation; Market Platforms; Growth and Development Strategy; Consulting Industry; Service Industry; United States;

Citation:

Applegate, Lynda M., and James Weber. "The Predictive Index." Harvard Business School Case 820-034, October 2019. (Revised February 2020.) View Details

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We develop a model in which risk-averse, specialized bond investors must be paid to absorb shocks to the supply and demand for long-term bonds in two currencies. Since long-term bonds and foreign exchange are both exposed to unexpected movements in short-term interest rates, our model naturally links the predictability of long-term bond returns to the predictability of foreign exchange returns. Specifically, a shift in the net supply of long-term bonds in one currency influences bond term premiums in both currencies as well as the foreign exchange rate between the two currencies. Our model matches several important empirical patterns, including the co-movement between exchange rates and bond term premiums as well as the finding that central banks' quantitative easing policies impact not only local-currency long-term yields, but also foreign exchange rates. We also show that this quantity-driven approach provides a unified account explaining both why foreign exchange tends to outperform when the foreign interest rates exceed domestic rates and why long-term bonds tend to outperform when the yield curve is steep.

Mark Cooke, Global Head of Operational Risk, needed to decide between a traditional regulatory control system and a new regtech system to manage non-financial risks. Non-financial risks failures such as money laundering and tax evasion had cost HSBC billions of dollars in fines and settlements over the previous decade. In response, HSBC had hired thousands of risk and compliance staff and invested billions in traditional control systems. Cooke, however, could not be sure HSBC’s traditional methods were sufficient and he was worried they were not sustainable. Cooke recently ran a pilot test of a regtech solution that promised to warn of problem areas in advance, and do so at a much lower cost than traditional systems. The regtech solution provider was a small startup and the technology was not fully developed. Cooke wondered how much he could trust a technology from a startup company with a handful of employees and almost no revenue to meet the needs of a world-leading bank with global operations.

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