Utilized T - SQL to pull
loan data from various databases and created various dashboards, scorecards and reports to support loan business decision making.
Not exact matches
Quite apart
from the argument over OSFI - style oversight, the former federal official and others stress this segment of the market at least requires more transparency and clearer
data so regulators and the Bank of Canada can better understand the credit landscape and the extent of high - risk
loans issued by private lenders.
This
data was taken
from loan applications, so it's possible that the workers in the study aren't making as much as other people — notably, those who don't need
loans — doing business on these platforms.
Facebook has also been found to buy personal, offline information — like
loan history —
from data brokers to target its ads further.
But in reality, a bigger danger to many companies and to customers» sensitive
data comes
from seemingly benign faces inside the same companies that are trying to keep hackers out: a
loan officer tasked with handling customers» e-mail, an attendant at a nursing home, a unit coordinator for the main operating room at a well - regarded city hospital.
For the report, OnDeck combined
data from a survey of 500 business owners and
loan applications
from 10,000 entrepreneurs across 700 industries.
Results
from First
Data Corp. and Visa showed a surge in consumer spending since the tax overhaul; the regional banks showed improving
loan growth; and numbers
from the real estate investment trusts told a story of rising demand and favorable deregulation, the «Mad Money» host said.
A more detailed breakdown of the
loan data on Monday showed sharp pick - ups in demand for credit
from both households and companies, auguring well for consumption and investment.
Outstanding
loans for companies and households stood at a record 207 percent of gross domestic product at the end of June, up
from 125 percent in 2008,
data compiled by Bloomberg show.»
It was an acceleration of a bullish trend seen all year, as short interest as a percentage of shares available to
loan has dropped precipitously
from 2017 highs, according to IHS Markit
data.
With this investment, Kabbage — a company that combines machine - learning algorithms,
data from public profiles on the internet and other factors to rate and then
loan small businesses money — will expand its lending products and services.
Earnest's findings are based on
data from those working side gigs who applied for a
loan on its platform.
A lien is one piece of
data that separates a strong borrower
from a riskier borrower, so lenders want to have this information before they approve a
loan.
The amount of money borrowed to pay for new and used vehicles climbed to an all - time high of $ 968 billion in the third quarter, according to new
data from Experian, which tracks auto
loans.
At that time, the main
data sources on consumer debt consisted of
loan - level
data sets on specific categories of
loans, such as mortgages, as well as aggregated
data on household sector debt
from the Board of Governors» Flow of Funds statistical release.
Using an extensive set of
data on
loan performance that we have developed with Equifax, we find that multiple first mortgage lien holders — that is, people owning more than one home — account for about 40 percent of the dollar volume of seriously delinquent mortgage balances, up
from about 5 percent in 2004 (Chart 10).
Data from BFS Capital, a small business lender, shows that demand for small business
loans is at an all - time high among construction companies.
To help students and their families, using Peterson's
data from the class of 2015, we compiled and analyzed average student
loan debt
data from 1,238 colleges and universities around the nation.
That's begun showing up in
data reports
from large banks as an increased probability of more troubled
loans on their books, he said.
It was sort of based on job opportunity, something called «elite graduates» and
data from Moody's (the same Moody's that rated many liar
loans bundled as CDO's as AAA + so we know * they're * reliable).
From 2002 until 2009, renminbi - denominated bank loans fell from over 90 percent of all the categories later included in TSF to just 55 percent (I am quoting from memory, so please double - check the da
From 2002 until 2009, renminbi - denominated bank
loans fell
from over 90 percent of all the categories later included in TSF to just 55 percent (I am quoting from memory, so please double - check the da
from over 90 percent of all the categories later included in TSF to just 55 percent (I am quoting
from memory, so please double - check the da
from memory, so please double - check the
data).
New yuan
loans probably dropped 14 percent last month
from a year earlier, according to the median projection in a Bloomberg News survey of 37 analysts ahead of
data due by Jan. 15.
In Illinois, the average amount of a student
loan owed is $ 29,305, according to the latest
data from the California - based Project on Student Debt.
Founded in 1985, the company originated 512,309
loans in 2015, according to
data from the Consumer Financial Protection Bureau.
For mortgage
data, we create a quarterly average of mortgage rates
from survey
data published by Freddie Mac (conforming
loans) and the Mortgage Bankers Association of America (jumbo
loans) for a 30 - year, fixed - rate mortgage.
More than 300,000 people have borrowed
from these firms, with total
loan distribution reaching 3 trillion rupiah ($ 218 million) as of January, versus 247 billion in December 2016, according to
data from the Financial Services Authority (OJK).
Ellie Mae, a company that provides software for the lending industry, publishes an «Origination Insight Report» each month with
data compiled
from thousands of home
loans.
According to official
data, non-performing
loans currently account for around 7 1/2 per cent of bank lending, down
from their peak of around 9 1/2 per cent in early 2002.
Overdue
loans, an indication of future bad
loan formation, at the five biggest banks totaled 416 billion yuan as of June 30, an increase of 27 percent
from the end of last year, according to
data compiled by Bloomberg.
This widening in the gap between fixed and variable housing rates is likely to have contributed to the pick - up in the proportion of borrowers choosing to take out fixed - rate housing
loans: in November 2004, the latest available
data, 11 per cent of new owner - occupier housing
loan approvals were at fixed rates, up
from 7 per cent three months earlier and the highest share since the beginning of 2004, which followed a period of monetary policy tightening (Graph 45).
We limited our analysis to the 25 largest cities in the U.S. El Paso, Texas and Detroit, Michigan were omitted
from our analysis due to insufficient student
loan borrower
data.
In a traditional report, the
data used for scoring comes
from credit card accounts, student
loans, auto
loans, retail charge cards and the like.
Ellie Mae's reports are based on
data from a «robust sampling of closed
loan applications.»
To identify the type of federal
loan (s) you borrowed, you can either consult your university's financial aid office or retrieve a list of your federal loans from the National Student Loan Data System (NSL
loan (s) you borrowed, you can either consult your university's financial aid office or retrieve a list of your federal
loans from the National Student
Loan Data System (NSL
Loan Data System (NSLDS).
The index matches median dwelling values
from CoreLogic with median residential
loan application
data from Equifax, which says it is the largest consumer credit bureau in Australia.
According to Fed
data turned over to Bloomberg News after a multi-year court battle, two units of Deutsche Bank borrowed at least $ 2 billion in low - cost
loans from the Fed's Discount Window during the crisis.
Prices rising faster than
loans in Sydney and Melbourne are pushing banks»
loan - to - value (LVR) ratios lower, figures
from credit bureau Equifax and property
data provider CoreLogic show.
Data from the U.S. Federal Reserve shows that the $ 2 trillion market for commercial and industrial
loans peaked in December.
There is, however, growing risk in the microlending market as the
data isn't always reliable, customers are able to take out multiple
loans from different lenders, and collection mechanisms are not yet robust.
Personal
loan rates today are approximately 1.4 percentage points lower than they were in 2011, according to rates
data from the National Credit Union Association (NCUA) compiled
from March 2011 through September 2016.
Student
loans currently account for more than 10 % of all U.S. household debt, more than triple the 3.3 % share of 2003, according to
data from the New York Fed.
For this study, we analyzed student
loan debt
data from 1,138 schools in the United States, including student
loan debt per borrower, proportion of graduates with student
loan debt, and the number of borrowers
from the Class of 2016.
Economic and Financial
data from the Central Bank, show that non-performing
loans have risen sharply
from 11.2 % in May 2015 to a critically high 19.3 % in May 2016.
An algorithm might conclude that people
from a certain demographic are less likely to pay back a
loan, for example, if it is trained on a
data set in which
loans were unfairly distributed in the first place.
The study used
data on student
loan delinquencies by zip code,
from the credit reporting agency Experian, and matched this to information on racial demographics by zip code
from the Census Bureau's American Community Survey.
In 2017, the BPS - 96 and BPS - 04 samples were matched to administrative records on
loan repayment from the National Student Loan Data System (NSLDS) through 2
loan repayment
from the National Student
Loan Data System (NSLDS) through 2
Loan Data System (NSLDS) through 2015.
They've obtained
data from sources that typically maintain a close hold, e.g., the College Board and the ACT, and linked it to the state and institutional databases, as well as
data from the National Student Clearinghouse (used by most higher - education institutions and student
loan providers for enrollment and degree verification).
Using major - specific earnings
data from the U.S. Census Bureau's American Community Survey, The Hamilton Project has created a student
loan repayment calculator that shows the share of earnings necessary to service traditional
loan repayment for 80 majors.
Early sales
data indicates that inclusion in the Kindle Owners» Lending Library not only generates additional revenue
from loans for authors, but actually increases customer purchases of authors» work as well.
«PubTrack Consumer provides publishers and retailers with information they simply can't get
from other types of
data sources, such as book consumers» purchase motivation, demographic profiles, media use,
loaning habits, and reading preferences of adults, teens, and children,» said Kelly Gallagher, general manager of the business intelligence unit for Bowker.