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56 cases found.
The case focuses on bribery and corruption in wholesale international capital markets with an emphasis on infrastructure finance – notably the theft of $4.5 billion in proceeds from bond issues by the 1 Malasia Development Berhad (IMDB) totalling $6.5 billion.
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Reference 6657
Published 19 Apr 2021
Topic Economics & Finance
Region Asia
Industry Banking
The case focuses on bribery and corruption in wholesale international capital markets with an emphasis on infrastructure finance – notably the theft of $4.5 billion in proceeds from bond issues by the 1 Malasia Development Berhad (IMDB) totalling $6.5 billion.
With a focus on China’s biggest internet companies, Alibaba and Tencent, the case study describes their respective histories, fintech subsidiaries and platform-based ecosystems.
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Reference 6588
Published 22 Jul 2020
Topic Strategy
Region Asia
Industry Financial Services, Internet, Banking
With a focus on China’s biggest internet companies, Alibaba and Tencent, the case study describes their respective histories, fintech subsidiaries and platform-based ecosystems.
The case focuses on blockchain (and distributed ledger technology or DLT) – a ‘hot’ area of fintech – and on R3 as a fintech consortium that includes some of the world’s largest banks, financial institutions and regulators. R3 started out as a family office in 2014 and evolved into a fintech company focused on the application of distributed ledger technology (DLT).
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Reference 6451
Published 23 Jan 2019
Topic Economics & Finance
Region Asia
Industry Computer Software, Financial Services, Banking
The case focuses on blockchain (and distributed ledger technology or DLT) – a ‘hot’ area of fintech – and on R3 as a fintech consortium that includes some of the world’s largest banks, financial institutions and regulators. R3 started out as a family office in 2014 and evolved into a fintech company focused on the application of distributed ledger technology (DLT).
After years building a solid customer base by cross-selling its financial service offerings, Wells Fargo was engulfed by a scandal over unauthorized accounts opened in customers’ names. Regulators discovered that hundreds of thousands of fake accounts had been opened by bank employees scrambling to meet sales quotas.
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Reference 6430
Published 29 Nov 2019
Topic Responsibility
Region North America
Industry Banking
After years building a solid customer base by cross-selling its financial service offerings, Wells Fargo was engulfed by a scandal over unauthorized accounts opened in customers’ names. Regulators discovered that hundreds of thousands of fake accounts had been opened by bank employees scrambling to meet sales quotas.
Read a related Knowledge article "Three Ways to Make Your Organisation Agile" by Maria Guadalupe.
Read a related Knowledge article "Three Ways to Make Your Organisation Agile" by Maria Guadalupe.
Read a related Knowledge article "Three Ways to Make Your Organisation Agile" by Maria Guadalupe.
Read a related Knowledge article "Three Ways to Make Your Organisation Agile" by Maria Guadalupe.
Read a related Knowledge article "Three Ways to Make Your Organisation Agile" by Maria Guadalupe.
Read a related Knowledge article "Three Ways to Make Your Organisation Agile" by Maria Guadalupe.
Read a related Knowledge article "Three Ways to Make Your Organisation Agile" by Maria Guadalupe.
Read a related Knowledge article "Three Ways to Make Your Organisation Agile" by Maria Guadalupe.
The case focuses on the ill-fated relationship between the LIA, Libya’s new sovereign wealth fund, and Goldman Sachs, and the ultimately disastrous $1.2 billion derivatives (elephant) trades the LIA entered into in early 2008 on Goldman’s advice.
The analysis deals with basic derivative instruments, terminology and concepts (e.g., leverage, counterparty risk) as well as valuation issues both intui
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Reference 6274
Published 24 Sep 2018
Topic Economics & Finance
Region Middle-East
Industry Financial Services, Banking, Investment Banking
The case focuses on the ill-fated relationship between the LIA, Libya’s new sovereign wealth fund, and Goldman Sachs, and the ultimately disastrous $1.2 billion derivatives (elephant) trades the LIA entered into in early 2008 on Goldman’s advice.
The analysis deals with basic derivative instruments, terminology and concepts (e.g., leverage, counterparty risk) as well as valuation issues both intui
The case explains how the French fintech Compte-Nickel found a blue ocean in the crowded French retail banking sector by identifying noncustomers and developing a strategy to attract them.
The case explains how the French fintech Compte-Nickel found a blue ocean in the crowded French retail banking sector by identifying noncustomers and developing a strategy to attract them.
This case tells the story of InVenture, a data science company based in California, that has created a machine learning algorithm to identify the creditworthiness of those with no credit history by tracking their mobile data patterns. With this technology they define a credit score and can issue a loan almost instantly to the borrower via a mobile phone.
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Reference 6234
Published 26 Sep 2016
Topic Marketing
Region Africa
Industry Financial Services, Banking
This case tells the story of InVenture, a data science company based in California, that has created a machine learning algorithm to identify the creditworthiness of those with no credit history by tracking their mobile data patterns. With this technology they define a credit score and can issue a loan almost instantly to the borrower via a mobile phone.
This case tells the story of InVenture, a data science company based in California, that has created a machine learning algorithm to identify the creditworthiness of those with no credit history by tracking their mobile data patterns. With this technology they define a credit score and can issue a loan almost instantly to the borrower via a mobile phone.
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Reference 6234
Published 26 Sep 2016
Topic Marketing
Region Africa
Industry Financial Services, Banking
This case tells the story of InVenture, a data science company based in California, that has created a machine learning algorithm to identify the creditworthiness of those with no credit history by tracking their mobile data patterns. With this technology they define a credit score and can issue a loan almost instantly to the borrower via a mobile phone.