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Enregistrement W270108993

Three Facets of Liquidity Illusion: Financial Innovation and the Credit Crunch

2008· article· en· W270108993 sur OpenAlexaboutno aff
Anastasia Nesvetailova

Notice bibliographique

RevueGerman policy studies/Politikfeldanalyse · 2008
Typearticle
Langueen
DomaineEconomics, Econometrics and Finance
ThématiqueBanking stability, regulation, efficiency
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCredit crunchFinancial crisisFinancial systemRecessionMarket liquidityCrunchEconomicsGreat DepressionGlobal recessionDefaultLiquidity crisisBusinessFinancePolitical science
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Introduction In summer of 2007, a contagious liquidity meltdown hit world markets. Sparked by sub-prime mortgage fiasco in USA, financial panic and tumbling asset values did not only destabilise American financial system, but have also shaken European and Asian markets. Over course of following eighteen months, a contagious financial crisis has been transformed into a recession that increasingly becomes world-wide. Some analysts evaluate losses related to global credit crunch at around $2 trillion (Roubini 2008). The casualty count from global credit crunch has included high-profile firms like Bear Sterns, Lehman Brothers and AIG insurance firms in US, Northern Rock and Lloyds (HBOS) in UK, several European banks, companies in real economy, entire banking system of Iceland and crucially, growing numbers of people who have lost or are on brink of losing their homes and jobs. The crisis prompted unprecedented emergency measures by public authorities in USA, Japan, EU, and later Canada, Australia, UK and emerging markets. The sheer scale of monetary injections by central banks over course of crisis is unprecedented in economic history, as are levels of interest rates that currently are at their historical lows. As financial meltdown approaches its second anniversary and as newly revealed bank losses and defaults in non-financial sectors prompt fears a global depression, sceptics warn that more strains are hidden in complex pyramids of credit around world. In turn, insiders of securitisation market--for many years largest source of funding for mortgages and consumer credit--have come to believe that industry may not recover its levels of trade until 2011-2012 (van Duyn 2009). Financial crises are always costly for those involved; they tend to expose errors of both policy-making and financial practice. In this, global credit crunch is not a unique event. It has unmasked American sub-prime mortgage industry as a scam; it has revealed that many high-ranking financial institutions have been entangled in complex chains of dubious debts and even Ponzi schemes; (2) and it has also shown that public authorities have lost track of real effects of financial deregulation. At same time, while investor herding, exuberance, speculation and gap between regulatory oversight and spiral of private financial innovation have been present in most outbreaks of financial volatility during past twenty years, global credit crunch has brought up two perplexing issues concerning nature of today's finance in particular. The first puzzle is apparent shock of event. In summer of 2007, falling market values seemed to have caught many market players and observers by surprise. For instance, a lawyer for Mr Cioffi, one of managers of crippled Bear Sterns fund has argued: the credit crisis took everyone by surprise, including Fed and Treasury. Dozens of largest financial institutions in world have lost over $300 billion to date on same investments. (3) While treating crisis as a 'surprise' and shock may well be a trick of a skilled lawyer defending two financiers against nine-count indictment with conspiracy, securities and wire fraud, treating crisis as a 'surprise' does not make much sense outside courtroom. Indeed, risks unleashed and accentuated by securitisation process, as well as fragility of US mortgage market and economy as a whole had been noted repeatedly by many commentators long before turmoil began in summer of 2007. For instance, as William White of BIS observed, the opacity and complexity of financial system today shrouds in secrecy who finally bears risks, and increases likelihood of operational problems. More broadly, reliance of banks in many countries on revenues from dealing with household sector, already heavily indebted, could in future prove a source of financial vulnerability . …

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: Théorique ou conceptuel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,460
Score d'incertitude au seuil0,950

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,002
Études des sciences et des technologies0,0010,001
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,068
Tête enseignante GPT0,305
Écart entre enseignants0,237 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeThéorique ou conceptuel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations10
Publié2008
Routes d'admission1
Résumé présentoui

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