WealthTech

Knowledge Base Articles

Skandia case study III: Using OutRank to Enhance their Investment Customer Journeys

Skandia, the Swedish life insurance company, has ramped up its initiatives in using technology to improve the overall experience of its customers. The goal is simple – developing a digital space to offer touchpoints relevant and meaningful enough to drive engagement across all of Skandia’s channels.

Personal Accident Insurance: Would My Savings Suffice?

Today’s case study examines a real-life experience of a Swedish family who struggled to receive adequate help from the local wealth management service providers.

Skandia Case Study II: Building Channel-Agnostic Wealth Experiences

Skandia strives to build communication channels in a digital space that would match the physical experiences in engagement levels and even improve the service quality in a way that has not been achievable before.

OutRank User Guide: The Walkthrough of the Digital Investments Use Case

Welcome to our brand-new series describing the elements of digital financial experiences you can build using OutRank API!

Steps to heaven - How to take your customers on a journey to the land of digital trust

Fredrik Daveus, CEO at Kidbrooke®, explores how to build trust in digital wealth management for the Swiss WealthTech Landscape Report 2021 by The Wealth Mosaic.

Skandia Case Study: Pioneering Seamless Digital Wealth

The financial guidance and advice services, which constitute the life insurer’s core business, were among the first to go through the transformation. Joakim Pettersson, the digital strategy and innovation lead at Skandia, believes that digitalisation is “the only way to scale financial advisory services”.

Evida Case Study: How to build an innovative financial advisor in under seven months?

Evida began its path as a family office managing a wide range of assets for wealthy families. Initially, the Swedish financial advisor outsourced the management of equity and fixed income positions to other parties. However, the combination of their interest for factor-based investments and dissatisfaction with wealth management services provided by the largest banks in Sweden, Switzerland and Luxembourg convinced Evida to build their own digital advisory service.

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.

Blog Articles

Adaptive Transformation in Digital Wealth: Unleashing the Power of a Dynamic IT Architecture

After the transformational impact of the pandemic and the looming revolution driven by artificial intelligence, there are few voices that doubt the need to update business models with scalable and efficient digital wealth tools. However, legacy IT architecture remains an issue that keeps many executives from future-proofing their businesses. Indeed, the ever-accelerating digital wealth transformation requires an adaptable IT architecture capable of accommodating both anticipated and unforeseen changes. Therefore, in this blog post we discuss both our and our customers’ experiences of building dynamic and reasonably priced IT architectures that can evolve with your business.

Trends Shaping the Wealth Management Industry - First Quarter 2023

The past year has been witnessed to slow growth and the ongoing battle against inflation causing widespread layoffs, lean payrolls and difficulty in filling skilled positions. 2023 has already seen its first casualty. California lender Silicon Valley Bank collapsed after tech investors and startups set off a bank run. This became the second-largest bank failure in US history, after Washington Mutual in 2008. The threat of a global economic slowdown looms and businesses look for ways to thrive through the downturn. Certainly, the interplay of the factors put together will ultimately shape the story of economic growth for 2023. In wealth management, the implementation of generative AI tools, a rise in interest in embedded wealth and the consumer duty requirements are reshuffling wealth managers’ approaches to business.

How Realistic Tax Modelling and Risk Analysis Within Your Financial Planning Software Can Support Your Roadmap

As Europe grapples with inflation, financial institutions are tirelessly searching for new ways of improving their business models. Whether updating their services with digital channels, creating more financial products, or exploring untapped markets, the financial executives carry on balancing compliance and innovation in their work. If your organization is embarking on a bold expansion to new countries or updating their selection of investment products, it is critical to ensure that your financial analytics suite is attuned to your strategic roadmap. Today we sat down with Lars Larsson, partner and quantitative finance expert at Kidbrooke®, to better understand how financial organizations can leverage the granularity of modelling and a detailed approach to representation of taxes to support their complex expansion roadmaps.

Setting up OutRank®, the Financial Forecasting Software

Suppose your organization decided to leverage OutRank®, the financial forecasting API, in its digital and hybrid financial journeys. Where do you start and how do you ensure you get the most out of our analytics? We talked to Kidbrooke®’s Customer Success Team to shed some light on the onboarding and maintenance processes, the client requirements and internal expertise needed to ensure that our clients achieve their goals using our technology.