Dating back to the 13th century, trade finance - loans that provide short-term financing to support the physical flow of goods - is one of the oldest forms of credit. More investors are turning towards this asset class as a diversifier in their portfolios.

Markets experienced one of the most violent reversals of the artificial-intelligence cycle during the past week, but the most important development was not the fall itself. It was what happened next.

Markets have absorbed an extraordinary amount of bad news without suffering an equally extraordinary decline. That resilience has been supported by strong economic and corporate fundamentals. The problem is that resilience is now widely expected.

For much of the AI boom, markets rewarded scale. The debate is shifting from investment to productivity, from infrastructure to monetisation and from technological capability to economic return.

Practitioners are increasingly in the business of navigating - and helping clients navigate - the complex moral landscape of investing. This paper explores the extent to which culture impacts on our morality.

The next phase of the cycle may not be determined by who spends the most capital. It may be determined by who earns the highest return on that capital. That is a more demanding environment. It is also a healthier one.

For the past two years, investors have focused almost exclusively on scarcity. That scarcity mindset created extraordinary winners. This week the conversation evolved from scarcity to scrutiny.

The market still believes in the AI supercycle. But it is beginning to ask harder questions about price, funding, margins, energy, inflation and return on invested capital.

This week was a test of how markets process conflicting signals. Markets again showed how quickly they are willing to move past geopolitical risk when the AI capital cycle remains intact.

The market remains willing to fund transformational growth. SpaceX proved that. But SpaceX is not merely an IPO. It is a market structure event.

One of the most remarkable features of the current market cycle is that capital is no longer simply chasing growth. Increasingly, growth is chasing capital. The next phase of the cycle may be determined not by the capabilities of artificial intelligence, but by the capacity of financial markets to fund it.

Markets continue pricing artificial intelligence as a productivity revolution. Increasingly, it is also becoming a capital cycle, influencing how capital is allocated throughout the global economy.

Markets continue to behave as though AI can absorb almost any macroeconomic shock, largely pricing AI as an abundance narrative. Meanwhile, the underlying system is increasingly signalling scarcity.

Markets continue to behave as though AI can overpower the macro cycle. But underneath that confidence, a different system is emerging.

The AI boom, energy insecurity, strategic infrastructure, liquidity management and private market implementation are all becoming part of the same portfolio construction conversation.

When considering the ethics of our actions, we often rely on two approaches - considering the outcomes and consequences, and whether the action accords with rules and norms. The effectiveness of a third approach is the focus of this research paper.

Markets can remain stable at the index level even as risk becomes more uneven, more concentrated, and more difficult to hedge. This week's signals suggest that is now the dominant dynamic.

Markets are currently pricing stability. But the underlying system remains constrained and market structure is becoming more fragile. The gap between pricing and reality is where risk tends to emerge.

Behavioural analysis enables a deeper insight into fund performance and the identification of highly skilled managers capable of generating consistent investment alpha.

A market can absorb volatility for a long time. It can absorb headlines, short-term oil spikes, and contradictory policy signals. What is harder to absorb is a shift from price disruption to actual constraint.