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Global

After decades of rapid globalisation, national economies and financial systems are more closely connected than ever before. At the same time, open markets and free competition are increasingly under criticism and even restricted. A major part of the work of Deutsche Bank Research therefore focuses on how Europe fares in an international comparison, how changing structures and the regulatory framework influence the development of financial service providers, their clients and financial markets globally, and which opportunities and risks result from long-term megatrends such as climate change, demographic change, digitalisation and new forms of mobility.

199 (11-20)
September 16, 2020
The widening generational divide should be a key source of alarm for investors, financial markets and society as a whole. Young people perceive themselves as the losers on issues ranging from housing to climate change to student debt. In turn, this anger is manifesting itself into political outcomes, with elections around the world increasingly fought along generational lines. [more]
11
September 3, 2020
Analyst:
The exponential growth of the digital economy is going to leave large chunks of minorities with little or no access to jobs. We conduct a bottom up societal study and it shows that 76% of Blacks and 62% of Hispanics could get shut out or be under-prepared for 86% of jobs in the US by 2045. If this digital racial gap is not addressed, in one generation alone, digitization could render the country’s minorities into an unemployment abyss. [more]
13
July 14, 2020
The unemployment rates of teenagers and young adults were already attracting attention during the financial and euro crisis. The corona crisis has again led to massive distortions on the labour markets in many countries. However, the initial development of the official youth unemployment rate was fairly diverse internationally. In some countries the unemployment rate has even fallen sharply. [more]
16
June 26, 2020
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]
19
12.1.0