Daniel Hinge is an Assistant Editor at Central Banking, a leading publication in the field of central banking and financial regulation. With a focus on economics and finance, Daniel's articles provide analysis and insights on central bank policies, governance reforms, and emerging trends in the industry. His work has also been featured in Risk.net.
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Daniel's coverage primarily focuses on finance and economy, with a specific emphasis on central banking, economics, financial institutions, monetary policy, and the integration of AI in finance. He seems particularly interested in legal policy regulation and government announcements related to these topics.
Given this focus, Daniel is likely to be receptive to pitches from experts who can provide insights into the implications of new policies or regulations within the finance industry. Additionally, he might be interested in analysis based on data that supports or challenges current economic trends or policies.
Since his geographic focus is not specified but given the nature of his articles which cover international financial matters like central banking policies and global economic trends such as those covered by model banks' analyses , potential sources should consider providing insights applicable at a global level rather than being limited to a specific region.
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New breakdowns reveal differences in central bank reserves management by size and economic group
The dollar and financial cycle move together. For the first time, economists think they know why
Sarb’s first black governor championed inflation targeting with “sharp wit”
By: Aditya Anand Kumar, Daniel Hinge
As transactional cash use falls, many central banks are adopting policies to safeguard cash access
Claudio Borio looks back over 37 years at the BIS and Hyun Song Shin looks to the future
Data highlights differences in cash management between central banks
By: Daniel Hinge, Christopher Jeffery
Officials at several central banks say limited investment universe restricts room for manoeuvre
The benchmarks this year include more granular details on key model design features
Limited data and uneven regulatory mandates pose major challenges
Additional data breakdowns reveal patterns based on staffing and development
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