Smart solutions for harvesting beta from fixed income and equity markets
An issue that passive investors have faced for many years is how best to capture efficiently the returns - delivering the yields and growth - available from financial markets, at a low cost. The most common approach thus far has been to simply track the relevant market capitalisation-weighted index, despite a number of well-documented shortcomings associated with this approach.
For Corporate Bonds, diversifying using market capitalisation weightings seems a strange way to minimise credit risk, given that it dictates a greater investment in the most indebted companies – ultimately, not the best reward for investors.
For Equities, passively invested market cap weighted strategies fail equity investors by clinging to past winners, assuming that the price of a stock is always a fair reflection of its true value and not offering real diversification across names, sizes and sectors.
With these shortcomings in mind, AXA IM has developed Efficient Investing solutions for long-term investors. These outcome-driven strategies aim to capture market-like returns more efficiently, in a transparent and low cost manner.
The solutions are designed to enable clients to customise their strategies to meet their desired responsible and impact investing requirements - by integrating Environmental, Social and Governance factors or directing the outcome towards the dual objectives of achieving both financial and social returns.
COVID-19 has shaken up high yield and put opportunities on the table
The asset class is always prepared for a crisis, but the uneven impact of the virus means fundamental credit analysis is more important than ever .
Mid-year 2020 - Global Optimal Income Strategies and Defensive Optimal Income
COVID-19: Why 2020 is not 2008 – the fund manager view
As we consider how the world will recover from COVID-19, it is vital that we remain aware of how this crisis is very different in nature to the market shock of 2008/2009 and understand how this will ...