GARCH Institute
Artificial intelligence links seven infrastructure layers into a persistent, uneven equity-risk system. Using 33 firms, a fixed 28-stock comparison and strictly lagged factor adjustment through August 2026, return connectedn…
AI infrastructure investment creates a capital cycle in which demand commitments, construction funding, physical delivery and cash recovery mature on different schedules. We measure this cycle across compute, networking, dat…
The paper examines why climate-related information does not consistently become a traceable signal in corporate bond prices, contracts, and secondary-market resilience. It defines transmission adequacy as the ability to conn…
Yield-curve risk is often assembled in two steps: estimate separate volatilities for Nelson–Siegel factors, then map those volatilities back to individual maturities. The convenient diagonal map silently treats level, slope,…
Global financial stress can synchronize market movements while generating distinct loss distributions. We establish this separation using rolling empirical distributions for the S&P 500, FTSE 100, Nikkei 225 and Hang Seng fr…
The past two decades have witnessed a structural transformation in financial market microstructure: human traders have been displaced by algorithmic agents operating at microsecond timescales. This paper provides a systemati…
The period from January 2023 to July 2026 witnessed an unprecedented surge in investor enthusiasm surrounding generative artificial intelligence (AI), propelling technology-sector equities—most notably NVIDIA Corporation (NV…
Artificial intelligence depends on a production chain connecting semiconductors, data centres, electrical equipment, generation, nuclear supply, cooling and gas infrastructure. This paper shows how that physical chain become…