QL-style investors remain prone to redemption even as fundamentals improve, while LLM redemptions fall earlier.

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Financial openness changes the transmission channel: the same US shock can ease or deepen the GDP effect depending on inequality and market exposure. Related Articles:

 One US rate shock produces very different GDP losses across foreign economies, with emerging markets showing the sharpest delayed decline. Related Articles:

Japan and South Korea show Thailand’s next risk: housing can move from scarce urban asset to stranded local burden once ageing and low births reshape demand. Related Articles:

Thailand’s housing pressure is not easing yet: deaths now exceed births, while ageing keeps older-owned homes locked in place and delays any relief in city markets. Related Articles:

Dependency becomes strategic risk when product concentration overlaps with political distance, instability and trade restrictions.

China is not one supplier among many.

Large energy shocks do not simply produce larger effects; they bend the inflation response upward and make pass-through more persistent.

Tariffs become stagflationary when the shock passes through production networks, prices, output, and consumption at once.

 Workers are not rejecting AI; many are asking for the training needed to adapt. Related Articles: The AI Job Market Needs a Demand Policy, Not a

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The split between U.S. and non-U.S. markets shows that AI is not automatically credit-positive.

The figure separates shared movements from disagreement between newspaper-based and market-based shock measures, showing where a “shock” may reflect interpretation gaps rather than a clean policy surprise.

The figure shows how raw ECB newspaper coverage is filtered, checked for relevance and converted into a five-point monetary policy signal from strongly expansionary to strongly restrictive. Related Art

China’s property downturn is no longer a normal cycle; the fall in real estate investment now resembles the early stage of a long post-bubble adjustment. Related Articles:

Value-Maxxing depends on three competencies: specifying useful context, orchestrating AI workflows, and reinvesting efficiency gains into new value. Related Articles:

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