AI in Monetary Policy: The Future of Central Banking?
How Large Language Models (LLMs) and Machine Learning could revolutionize — or destabilize — the way Central Banks understand the economy.
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Meine Lieblings-Podcasts
InspirationEine Übersicht der besten Quellen für Wissen und Unterhaltung unterwegs.
ECB Taylor Rules(3 Parts)
The Eurozone Dilemma: One Size Fits None
Part 2Imagine trying to set a single thermostat for a house where the kitchen is on fire and the basement is flooded. Welcome to the European Central Bank.
Breaking the Taylor Rule: Why Math Matters
Part 2You can't just run a simple regression on Central Bank data. Here is why the 'Feedback Loop' destroys standard models—and how we fix it.
The Great Divergence: Core vs. Periphery
Part 3The math reveals a startling truth: The ECB's interest rate fits Germany perfectly, but is disastrous for Italy.
The Global Financial Cycle(3 Parts)
The Death of the Trilemma: Why Floating Rates Won't Save You
Part 2For decades, students were taught the 'Impossible Trinity'. But in 2013, Hélène Rey argued that in a world of massive capital flows, the Trilemma is actually a Dilemma.
The Fear Gauge: How the VIX Rules the World
Part 2Why does a volatility index for US stocks determine whether a firm in Korea can get a loan? The answer lies in the balance sheets of global banks.
Denmark in the Storm: The Safe Haven Paradox
Part 3As a small open economy with a fixed exchange rate, Denmark should be vulnerable to the Global Financial Cycle. But the data reveals a surprising twist.
Mine favoritbøger
academicEn kurateret liste med bøger jeg vender tilbage til – og korte noter om hvorfor de er værd at læse.
Favoritpodcasts (liste)
academicEn kort liste med podcasts jeg anbefaler — opdelt i temaer og med en note om hvorfor de er værd at høre.
Historien bag min personlige hjemmeside
academicHvorfor jeg byggede den, hvordan strukturen voksede, og hvorfor statistik-siderne blev en del af porteføljen.
Hvordan jeg strukturerer en analyse: fra data til formidling
academicEt simpelt framework til at undgå “analyse-kaos”: afklar mål, dokumentér data, vælg metode, test robusthed, og skriv det klart.
Excel vs. Python: hvornår giver hvad mening?
academicKort guide til værktøjsvalg: hurtige dashboards og prototyper vs. reproducerbare pipelines og større datasæt.
AI in Monetary Policy: The Future of Central Banking?
academicHow Large Language Models (LLMs) and Machine Learning could revolutionize — or destabilize — the way Central Banks understand the economy.
The Productivity Paradox 2.0: AI & The Solow Residual
academicRobert Solow once said: 'You can see the computer age everywhere but in the productivity statistics.' Are we repeating history with AI?
The Signal
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