Knowledge Base Articles
Part I: Asset and Liability Management Using LSMC - Introduction to the Framework
In the first part of the ”Asset and Liability Management using LSMC” article series, we outline an ALM framework based on a replicating portfolio approach along with a suitable financial objective. This ALM framework, albeit simplified, is constructed to provide a straightforward replication of the complex interactions between assets and liabilities. Moreover, a brief introduction to the LSMC method used to generate all underlying risk factors is presented.
March 2019 News Update
We've selected the most relevant global news within the fields of automated financial advice, data intelligence and balance sheet risk this March. The rise of the robo-advisors concern the brokers, although many see this development as a helpful complement to the traditional wealth management business, stressing the regulatory burden as well as IT legacy systems' challenges. Meanwhile, Brexit leads to a spike in risk-aversion among the customers of Do-It-Yourself investment platforms. On the balance sheet risk side, the experts stress the importance of timely preparations to IFRS 17, FRTB and the transition from LIBOR. The machine learning tools are put to use in fraud detection in the banking industry context, and the Positive-Incentive ESG-based Loans gain prominence among the banks and corporations.
Women in Quantitative Finance: Interview with Mika Lindahl
We are excited to share the story of Mika Lindahl, an associate consultant and a team manager at Kidbrooke Advisory. She has been working at the company for more than 1.5 years now, successfully balancing deep technical expertise with excellent leadership skills. In this short interview piece, Mika tells us about her career choice, her role in quantitative finance and her message to women considering a similar path.
February 2019 News Update
We are excited to present our news selection for February 2019! Although anticipated to be a conventional means of providing investment advice in the longer term, automated financial advice is still an emerging subsector in the global wealth management industry. Some sources anticipate that the expansion and specialisation of such services would bring the developing digital advice providers to their maturity, while the early adopters evaluate the lessons learnt from the implementation of robo-advisers. Meanwhile, the large banks do not rush to engage in the FRTB implementation projects before the local regulators come up with the final version of the new rules. At the data intelligence side, the data scientists deploy artificial intelligence to assess the ESG practices of companies.
The Stockholm FinTech Week 2019: Summary
Last week Kidbrooke Advisory participated in the Stockholm FinTech Week 2019! More specifically, we had a chance to attend the events within the following areas: FinTech & Market leadership collaboration, RegTech, InsurTech, Sustainability and Impact Tech and finally Regulation & Nordic Collaboration. The discussions centred on the best practices in building cooperative relationships between the emerging industry participants and the traditional financial institutions, the role of the regulations and the regulators in a changing industry, the rising awareness of climate change as well as the potential of the cutting-edge technology adopted by the market participants.