Why the expanding investment universe changes how alpha is generatedBY ALEX VEROUDE | FRIDAY, 8 MAY 2026 11:22AMCapital markets are expanding beyond traditional benchmarks as tokenisation and artificial intelligence (AI) unlock vast new investable opportunities. The democratisation of finance means that alpha generation is broadening out from trading mispriced securities toward originating assets. The universe is expanding In credit, roughly 2500 investment-grade issuers and 1500 high-yield issuers make up the benchmark universe. But the total volume of non-governmental borrowing and lending globally is multiples larger. Asset-backed finance, equipment lending, legal credit, trade finance, infrastructure debt, franchise financing, residential mortgages, etc - an estimated US$35 trillion addressable market in the US alone, much of which is investment grade in nature, that has historically sat on bank balance sheets or beyond the reach of institutional capital. Private credit has been useful in waking up investors to the scale of the investable universe, but it is just one expression of the democratisation of finance. Bigger forces are at work:
Together, these technologies are dissolving the old boundaries that separated listed from unlisted, benchmark from non-benchmark, traded from originated. The result is not a niche development. It is a structural expansion of the investable universe that will reshape how returns are generated across both equity and credit markets for decades to come. Why this changes how alpha works This expansion matters because it changes the fundamental economics of generating excess returns. To see why, it helps to distinguish between two forms of alpha. Trading alpha is excess return generated through price appreciation relative to the universe an asset sits in. In credit, it means buying a bond that tightens more than its peers; in equities, it means owning a stock that re-rates faster than its sector. Trading alpha is generated in secondary markets by identifying mispricings, typically temporary ones, and acting on them before others do. Trading alpha is real and will remain valuable. But in a world where information is ubiquitous and can be processed at extraordinary speed, the structural tailwinds for trading alpha are weakening. The room for mispricing in a widely covered, continuously priced, increasingly indexed universe is narrowing. There is an important nuance. The same technologies that will further compress trading alpha - AI-driven screening, real-time analytics, natural language processing of filings and earnings calls - ought to create an advantage for early adopters. Firms that deploy these tools ahead of the market will, for a period, have an opportunity to identify mispricings faster and act on them more decisively than competitors. This temporary edge should favour managers investing in technology today, even as the long-term structural ceiling continues to lower for the market. Further, trading alpha will never reach zero; areas such as concessions for new issues will likely always exist. While it will become more challenging, there remains room for nimble and contrarian managers to consistently deliver. Origination alpha is excess return generated by acquiring or investing in assets at a lower cost - a wider spread, a lower multiple - than where the broader universe values comparable risk. Rather than trading existing assets more skilfully than competitors, origination alpha comes from sourcing new investments that enter a portfolio on better terms than are available in the secondary market. The critical insight is that origination alpha is hard to capture when the opportunity set is small, and much easier when it is large. In a universe of 4,000 issuers that are widely followed and continuously priced, the chances of finding a genuinely mispriced asset are slim. In a universe of hundreds of thousands of borrowers and companies, many of whom have idiosyncratic financing needs and limited access to institutional capital, the opportunities are abundant. Implications for portfolios Benchmark boundaries are blurring. An originated loan that is subsequently tokenised and traded on a digital platform sits outside any traditional index. As more assets exist in this space between conventional categories, the old approach of governing allocations in separate silos - different teams, benchmarks, and oversight structures - will need to evolve. Investors who can evaluate opportunities across the full spectrum of traded and originated assets will have a wider, more efficient toolkit. Income generation becomes a larger share of total return. For portfolios with multi-year horizons, locking in 200 to 300 basis points of excess yield through origination compounds substantially. This does not replace trading alpha, but it rebalances the portfolio toward dependable income, which aligns well with outcome-oriented investors focused on retirement funding, liability matching, or stable distributions. Client outcomes can be more precisely targeted. As the investable universe expands, the ability to match specific client return requirements with specific sourced opportunities improves. Rather than fitting clients into pre-packaged strategies benchmarked to an index, managers with origination capabilities can work backwards from a client's desired outcome and source the investments to deliver it. Governance needs to keep pace. As origination scales, investment committees, credit processes, and operational frameworks need to be purpose-built. Firms with dedicated governance structures that integrate compliance, legal, and operations from day one are better positioned to scale responsibly and earn institutional confidence. 'Both/and' not 'either/or' The most effective portfolio of the future combines both forms of alpha. Buy-and-maintain portfolios incorporating traded and originated assets, designed around client outcomes, delivering dependable income as the core allocation. And concentrated alpha strategies exploiting dislocations through active trading, security selection, and tactical positioning. Both matter. The sources of return are broadening, and investors who position across trading alpha and origination alpha should capture a wider share of available opportunity. This industry will look fundamentally different in five to 10 years. The convergence of traded and originated markets, enabled by tokenisation and AI, is not a forecast. It is already happening. Origination alpha is the concept at its centre. The question for institutional investors is whether they are positioned for the market that is emerging or anchored to the one that is receding. |
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