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Record 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 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueABA banking journal · 2010
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicBanking Systems and Strategies
Canadian institutionsnot available
Fundersnot available
KeywordsLoanQuarter (Canadian coin)ForeclosureBusinessPortfolioDebtInterest rateFinancial systemFinanceHistory
DOInot available

Abstract

fetched live from 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. …

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.717
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.033
GPT teacher head0.206
Teacher spread0.173 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it