HBSP (USA)
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Subprime Meltdown: American Housing and Global Financial Turmoil
Rotemberg, Julio J.Case HBS-708042-EFinanceThis case focuses on the financial difficulties faced in the US from August to December 2006 as well as their roots in subprime lending. After briefly discussing how mortgages were structured and traded in the pre-1990 period, it describes subprime mortgage lending, as well as other innovative mortgages issued in the 1990s. It also discusses how these mortgages were packaged into securities, and who ultimately came to own these claims and their a...Starting at €8.20
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BP's Macondo: Spill and Response, Teaching Note
Rotemberg, Julio J.Teaching Note HBS-712003-EEconomicsTeaching Note for 711-021.Starting at €0.00
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BP's Macondo: Spill and Response
Rotemberg, Julio J.Case HBS-711021-EEconomicsThis case starts by reporting various factors that may have contributed to the massive Macondo oil spill, noting that BP, its partners, and the government all made decisions that helped cause the accident. It then discusses the response to this spill by BP and the government. This helps provide some context for the decision by the Obama administration to request $20 billion for a fund from BP and for BP's willingness to go along with this request...Starting at €8.20
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New York Life and Immediate Annuities
Rotemberg, Julio J.; Gourville, John T.Case HBS-510040-EMarketingBy positioning Immediate Annuities as "guaranteed lifetime income," New York Life has built itself a $1.4 billion per year business by 2009. However, to make Immediate Annuities a mainstream financial product for retirees, New York Life must understand why many retirees are reluctant to buy them and many agents are reluctant to sell them.Starting at €8.20
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Artea (D): Discrimination through Algorithmic Bias in Targeting
Ascarza, Eva; Israeli, AyeletCase HBS-521043-EMarketingThis collection of exercises aims to teach students about 1) Targeting Policies; and 2) Algorithmic bias in marketing-implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B), (C), (D) Introduce algorithmic bias. The exercises are designed such that the issues of algorithmic bias and discrimination would emerge inductively, "surprising" the students in the act of recommending a strategy that,...Starting at €5.74
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Amazon Shopper Panel: Paying Customers for Their Data
Ascarza, Eva; Israeli, AyeletCase HBS-521058-EMarketingThis case introduces a new Amazon program that has consumers upload their receipts from transactions outside of Amazon, in exchange for money. Through the discussion, the case aims to explore issues in customers' privacy in the digital age, the value of customers' own data, and the change in regulations aimed to protect consumers that move companies from using third party data to first party data. In addition, the case offers an opportunity to di...Starting at €8.20
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New York Life and Immediate Annuities, Teaching Note
Gourville, John T.; Rotemberg, Julio J.Teaching Note HBS-510094-EMarketingTeaching Note for [510040].Starting at €0.00
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Artea: Designing Targeting Strategies
Ascarza, Eva; Israeli, AyeletCase HBS-521021-EMarketingThis collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing-implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmStarting at €8.20
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Artea (B): Including Customer-level Demographic Data
Ascarza, Eva; Israeli, AyeletCase HBS-521022-EMarketingThis collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing-implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmStarting at €5.74
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Artea (C): Potential Discrimination through Algorithmic Targeting
Ascarza, Eva; Israeli, AyeletCase HBS-521037-EMarketingThis collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing-implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmStarting at €5.74