MétaCan
Menu
Retour à la cohorte
Enregistrement W302140308

Flights from Fancy: Burned by Subprime and Exotic Mortgages, Home Buyers Look to Traditional Banks and Plain-Jane Products. the Experiences of Four Community Banks Tell the Story

2010· article· en· W302140308 sur OpenAlex

Pourquoi ce travail est dans la base

Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.

aboutLe titre ou le résumé porte un signal canadien du lexique géographique.
no affAucune affiliation canadienne : ce travail est invisible pour une base fondée sur la seule affiliation.
Aucune affiliation canadienne. Une base fondée sur la seule affiliation (le devis habituel) n'aurait jamais vu ce travail. C'est l'un des travaux qui justifient l'inversion de la base.

Notice bibliographique

RevueABA banking journal · 2010
Typearticle
Langueen
DomaineBusiness, Management and Accounting
ThématiqueBanking Systems and Strategies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésLoanQuarter (Canadian coin)ForeclosureBusinessPortfolioDebtInterest rateFinancial systemFinanceHistory
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

[ILLUSTRATION OMITTED] It may be premature for all community banks to stock up on fatted calves, but anecdotal evidence suggests prodigal consumers are returning to hometown lenders. Borrowers lured away by the fancy offerings of nonbanks specialty players now seem to realize that those cheap loans came at a very high price. Subprime lending wreaked havoc from which the housing market still suffers. Irvine, Calif.-based RealtyTrac reported 2.8 million foreclosure filings in 2009, up 21% from 2008 120% from 2007. Residential mortgage originations dropped 17.7% in the third quarter of 2009, according to the Mortgage Bankers Association. Commerce Department figures show that new home sales fell in December to an annual rate of 342,000, a greater decline than economists had predicted. Yet regulated banks savings institutions made very few subprime loans; most local community banks made none. An ABA survey conducted among 248 community banks in the fourth quarter of 2007 found that most were focused on prime lending, principally conforming Respondents held 68.5% of their loans in portfolio, with the remainder sold into the secondary market. Fixed-rate loans accounted for 76% of loan production. Having eschewed toxic debt, community banks are well positioned to assume business previously lost to free-wheeling lenders-as even federal regulators implicitly concede. Last the FDIC established an advisory committee on community banking, which met earlier this year to discuss Community Banks as Growth Engines. Have more of them taken advantage of the vacuum as customers sidelined specialty players? The most compelling evidence is first-hand accounts from community bankers themselves. In this report, we present the experience of four community banks--some commercial, some savings institutions--in the mortgage origination business. 1. FIRST SHORE FEDERAL Maryland A niche player grabs share The local residential real estate market for First Shore Federal Savings Loan Association, Salisbury, Md., is fairly flat in property transfers. Yet the $330 million-asset thrift grew its business in 2009. Our total loan growth was about 10% for the year, says Martin Neat, president CEO, and that was certainly not from a lot of refinancing not from growth in the local market. Without question, it's from getting a bigger piece of the pie. Neat says more more customers seem simply to recognize the value of community banks. think they're getting the message--more than perhaps they did in the last few he observes. He also mentions that he has received comments from customers who say that in the past, the bank would not have gotten a shot at a loan because the customer would have gone to a broker instead. First Shore Federal attributes much of its success to being a niche lender. hold our loans; we don't sell them, Neat explained. So we're not going to make a lot of 30-year, fixed-rate loans at current rates because that's just not good business. We tend to look for shorter-term loans. First Shore Federal does a brisk trade in jumbo loans, which investors mostly stopped buying after the credit crunch, as well as 10/1 hybrids (fixed for ten years, then adjustable annually). look for places in the market that we can compete in without having to guarantee the present rate for 30 he said. When other segments of the industry relaxed underwriting standards, First Shore Federal did not--a decision that proved wise. At the end of last we had five properties either in foreclosure or in-substance foreclosure out of 1,600 loans, that actually reflects some deterioration, Neat said. Earlier in the we had only one. I don't consider five to be alarming. What he does find alarming is that the bank may be forced to change its practices to accommodate regulatory changes. …

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.

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)0,002
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,717
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0020,000
Communication savante0,0010,001
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
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 Opus0,033
Tête enseignante GPT0,206
Écart entre enseignants0,173 · 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