Asif Noor: Opening up on data and financial fragility

I chat with Asif on his career journey, how the world changed after the GFC and what he sees for the future of machine learning assisting with rigorous testing of a hypothesis.

Career, systems, how the world changed after GFC, data sets that are interesting, AI and machine learning, neural networks, testing a hypothesis and data.

Nothing on this podcast is to be considered investment advice or a recommendation. No investment decision or activity should be undertaken without first seeking qualified and professional advice.

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How private credit investors are preparing for software’s AI reckoning

How private credit investors are preparing for software’s AI reckoning

As the private credit industry matures, the first real stress tests are emerging – from AI-exposed software loans to eroding covenants in megadeals. Institutional investors are responding by rethinking where the illiquidity premium justifies the risk.

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Basis Risk in Liability-Hedging Strategies

Recent pricing dislocations in U.S. fixed-income markets have illustrated there is more to hedging a liability’s interest rate risk than simply matching its duration. Basis risk – in the context of liability hedging – is the risk that the changes in the market value of assets, designated as a hedge, will deviate from the changes

Diversification With Attitude, parts A and B

Diversification is one of the few reliable ‘free lunches’ in asset markets. Nevertheless, investors do not always extract the best from the available benefits. Many portfolios still carry some concentrated risk exposures. And when diversification is pursued, it often occurs under the shotgun approach of increasing the number of return sources, albeit guided by a

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