Knowledge Base Articles
Part I - Introduction to Artificial Neural Networks
In this article series, we present a machine learning-based approach to solving a common problem in financial modelling where one is faced with the task of estimating the value of a function which requires a significant amount of computation to evaluate. More specifically, a function that corresponds to a so-called nested simulation aimed at, for example, estimating a capital requirement for a financial institution or the risk associated with a structured product for a retail investor.
Part III - Portfolio Construction - The Real World Analysis
In the third and the final part of our “Portfolio Construction” article series, the findings of the previous sections are applied to a broader and more realistic set of assets to evaluate the performance of the proposed methods against more conventional techniques.
Part II - Portfolio Construction - Sampling & Optimisation
The second part of the “Portfolio Construction”-series explores whether introducing parameter uncertainty to the model would improve the out-of-sample performance of the optimal portfolio. Additionally, the article proposes and tests two adjustments to regular utility optimisation.
Part I - Portfolio Construction - Parameter & Model Uncertainty
There is a number of challenges associated with portfolio construction based on historical data. This three-part article series explores some of the most common issues attributed to the model-based portfolio optimization: the sensitivity to changes in data, large variations in portfolio weights and the bad out-of-sample performance.
Navigating the Modern Financial News Feed
Regardless of your level of professionalism as an investor, having access to relevant news with different perspectives on your assets is valuable. However, although useful for some, the high volume of the accessible news can be exhausting for non-professional investors. That is why we decided to discuss the way of delivering news in a concise and intuitive manner. Rather than having a large set of news titles summarizing your portfolio, it can be neatly compressed by using natural language processing. To explain, NLP is used to model human language and transform spoken words into written text, translate languages, answer questions and even generate synthetic text pieces. Using technological progress as a tool to increase the value for the client isn’t necessary insignificant as it indeed serves a purpose of delivering information in a way which engages the end user.
How to Build the Future of Wealth
Social distancing has pressured wealth managers and credit providers to accelerate the digitalisation of their workflows. Our blog post focuses on how they could choose to do that. First, by developing the IT infrastructure on their own, companies aren’t choosing the “be all and end all” approach, as the strategic direction remains in the hands of the firm. Second, as nascent firms drive innovation, it can be difficult for in-house teams to build competitive technology consistently. That is why outsourcing is another potential option. Third, while both building in-house and full outsourcing have their perks, another strategy displays linking the two together and introducing APIs as a solution – an approach favoured by many incumbent financial organisations. Such a process is allowing the infrastructure provider to build world-class tech while letting the business serve its clients with optimal solutions.
Enterprise Cloud Native: Reaching for the Stars or Pie in the Sky?
Modern cloud computing, which in absolute timespan is still very young, has become a pretty much ubiquitous facet in our lives. Most of us now store a majority of our personal data on numerable cloud servers operated by huge companies who are now household brands. Any remaining confusion in nomenclature and etymology doesn’t reside with the young. For those of us old enough to remember floppy disks, we can still get confused by terminology. Here we look into the history and future of cloud computing.
Davids and Goliaths: The Role of Big Tech in Financial Services
We shouldn’t be surprised that Fintech firms are pioneering the current wave of mass digital adoption. Account management, payments and identity verification are just three areas where digital technology has and continues to augment products. In the past decade, much of the innovation has decoupled from the mainstream. Firms in hubs such as Stockholm and London have been at the forefront of pioneering fresh ideas and translating them into new consumer-centric tools. Now, as the industry matures, mainstream Tech firms are looking to add their heft into the mix: Will they overpower the relative minnows swimming in the Fintech waters, or will their efforts sink without a trace?