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What does machine learning have in common with cooking feijoda?

June 26, 2020
Topic:
Machine learning, with all of their processing power, they’re able to more quickly highlight or find patterns in big data that would have otherwise been missed by human beings. Machine learning is a tool that can be used to enhance humans’ abilities to solve problems and make informed inferences on a wide range of problems, much wider than financial services for example helping diagnose diseases to coming up with solutions for global climate change. [more]

91 (37-48)
June 25, 2019
Analyst:
38
For the first time ever the Fed is undertaking a thorough academic review of its policy strategy, tools, and communication practices. The reviewers are some 30 academic experts on monetary policy and macroeconomics. Listen to Peter Hooper, Global Head of Economic Research, discussing the background to the review, the low-rate monetary policy and what a downturn could mean for financial stability. [more]
May 15, 2019
43
Who pays when a tariff is imposed on an imported product? Formally, of course, it is the importer that is assessed the tariff. But if the exporter has lowered her price, the tariff-inclusive price may not be higher than the prevailing price before the tariff was introduced. [more]
May 8, 2019
44
China's USD 12-trillion stock market is a vast and complicated panoply of different share types across a wide variety of markets, exchanges and share classes. With the rising role of A-shares amongst international emerging markets (EM) indices, understanding the market dynamics of China's equity markets will be increasingly critical, as Chinese equities are set to become an increasing proportion of the global opportunity set, driven by their increasing role in EM equities. Deutsche Bank’s research team looks at the distinguishing features of China's onshore and offshore markets. [more]
April 4, 2019
Analyst:
48
April 1 marked an important milestone for China’s financial markets, as Chinese Yuan-denominated bonds are to be included in the Bloomberg Barclays Global Aggregate Bond Index. According to Bloomberg, the index will include over 360 eligible bonds, with a c.6% weight, making it the fourth-largest currency component in the index, after the USD, the EUR and the JPY, and the inclusion will take place over a 20-month period. [more]
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