People moves (1 Sept 2022): Sensor Tower, Yellowbrick, Knowsis and more
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Inspecting the securities lending market through alternative data
Published research suggests the securities lending market is opaque and subject to non-competitive features. We summarise the findings of this research and examine the suitability of IHS Markit’s Securities Finance product in assessing securities lending market activity. -
What does the American Data Privacy and Protection Act mean for alternative data?
The American Data Privacy and Protection Act (ADPPA) is the first federal privacy bill to pass committee markup. In this intelligence piece, we look at the proposed bill’s provisions and consider its potential impact on different types of alternative data. -
People moves (18 August 2022): Vertical Knowledge, Balyasny, Blackrock and more
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App data revisited
Nearly one year since we discussed the fallout from App Annie’s SEC settlement, we return to the app data landscape. We analyse the current state of the market, how the leaders distinguish themselves and consider what the future may hold. -
Blowing the whistle in alternative data
There is much secrecy around whistleblowing but regulatory efforts to reward those who come forward with information, could expose more bad practices in the alternative data space. -
The Signal: Datasets to make sense of inflation
We share the names of five vendors that can help data buyers make sense of inflationary impacts across the global economy. -
People moves (11 Aug 2022): Brevan Howard, YipitData, JPMorgan and more
Submit your promotions, job changes and open roles to press@neudata.co for inclusion in next week's newsletter. -
Japanese NLP: breaking the language barrier
Why does it seem that few Japanese alternative data providers adopt natural language processing technology? When a Japanese provider claims to adopt AI-driven NLP for sentiment analysis, we often find it comprises little more than user ratings and supervised text classification. In this report, we will explain the challenges in Japanese language text mining and highlight a few vanguard providers tackling such obstacles in Japan. -
Comprehending machine learning explainability: deep neural networks and automated trading
We summarise a recent paper based on a high-frequency trading firm that adopts deep neural network (DNN) machine learning systems for trading functions. The paper considers how we can begin to explain the decisions of DNNs, despite their opacity.