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Case Studies, innovation, banking platforms, platform as a service, SaaS
Transitioning from LIBOR to SARON
The switch from the global interest rate benchmark to its regional offspring, like SARON in Switzerland, represents a major challenge to financial institutions.
blockchain, digital wealth management, wealth management solutions, data science, blockchain technology
Blockchain – the Innovation Engine of the Financial Industry?
Blockchain has been a buzz word for a few years but the announced disruption seems to have disappeared. So where are we since then? Are the promises all gone? Is there really something beyond the hype?
Machine Learning for non-bankable asset investing
After introducing non-bankable asset investing in the first article of this series, we here discuss some valuation approaches using machine learning to make nBA investing fit for total wealth management.
5 things that open banking has given us
As the dust starts to settle on the implementation projects related to PSD2 in the European Economic Area, it's time to reflect on what is happening with the move to open banking and ask, what has it given us so far - and is it really just about payments?
Open Banking, Open Banking Platforms, Open API's, ecosystem, Open Banking Provider
3 key drivers of innovation in the open banking platform economy
What factors are driving innovation in open banking? Can the platform economy really work for the banking industry?
wealth management solutions, data science, artificial intelligence, machine learning
Investing in non-bankable assets – the whys and hows
This is the first piece in a series of three short articles that will address investing in non-bankable assets and focus on critical considerations when one’s investment portfolio includes such alternative investment vehicles.
digital private wealth, digital private wealth management, robo advisors
Can automation and robo-advisors help democratize the wealth management industry?
Digital wealth management software can increase the financial services industry’s cost efficiency and enable them to reach a wider audience with custom services.
Connecting the dots: how relationship networks reshape the way we use data
It may sound like an exaggeration, but there is hardly any person in the world that has never been part of a social network, or that has never used some sort of technical network. In a similar way, it’s almost impossible to come across any recent article about data science applications which does not mention the term “network”. Hence it is only natural to ask what is a network?
Distributed learning across banks – Avaloq’s differentiating approach
In this blog post, we will specifically delve into the type of challenges that arise in banks due to data quality and quantity-related issues and propose some concrete concepts that could mitigate these.
Is it time to redefine the risk-based portfolio approach?
The introduction of a highly automated portfolio-based advisory process and the use of quantitative portfolio risk has led to a new advisory paradigm. In this post, we explore the challenges that come with this.
