The Shadow Banking Network: Off-Balance-Sheet Sovereign Debt Vehicles - Jimmy Davis Sr. - ebook

The Shadow Banking Network: Off-Balance-Sheet Sovereign Debt Vehicles ebook

Jimmy Davis Sr.

0,0

Opis

The global financial system is operating on borrowed time and unmonitored leverage. While regulators police traditional commercial banks, a parallel universe of off-balance-sheet vehicles, multi-manager hedge funds, and private credit titans has quietly seized control of the sovereign debt markets. This hidden plumbing has transformed government bonds from stable assets into high-velocity collateral engines. This definitive technical guide exposes the regulatory arbitrage networks driving contemporary institutional credit. By disassembling complex structures like Irish Section 110 conduits, variable interest entities, and synthetic credit default swaps, the text maps the invisible pipelines funneling catastrophic risk into the heart of global banking. Moving far beyond theoretical models, this manual analyzes structural flashpoints and real-world failure timelines. You will examine the mechanics of settlement chain collapses, repo market runs, and the modern, margin-driven sovereign doom loop that activates during macroeconomic stress. Engineered specifically for institutional risk officers and financial analysts, this book provides a sophisticated toolkit to reverse-engineer hidden exposures. Discover how to exploit proxy data, monitor rehypothecation specialness, and build defensive liquidity models to survive the next systemic crisis.

Ebooka przeczytasz w aplikacjach Legimi na:

Androidzie
iOS
czytnikach certyfikowanych
przez Legimi
czytnikach Kindle™
(dla wybranych pakietów)
Windows
lub macOS

Liczba stron: 163

Rok wydania: 2026

Odsłuch ebooka (TTS) dostepny w abonamencie „ebooki+audiobooki bez limitu” w aplikacjach Legimi na:

Androidzie
iOS
Oceny
0,0
0
0
0
0
0
Więcej informacji
Więcej informacji
Legimi nie weryfikuje, czy opinie pochodzą od konsumentów, którzy nabyli lub czytali/słuchali daną pozycję, ale usuwa fałszywe opinie, jeśli je wykryje.