نتایج جستجو برای: loan amount

تعداد نتایج: 260935  

2010
Karolin Kirschenmann Steven Ongena Maria Fabiana Penas

This paper studies how credit constraints develop over bank relationships. I analyze a unique dataset of matched loan application and loan contract information and measure credit constraints as the ratio of requested to granted loan amounts. I find that the most important determinants of receiving smaller than requested loan amounts are firm age and size at the time of the first interaction bet...

2009
J. Michael Collins

This paper uses 2005 Home Mortgage Disclosure Act data aggregated by census tract to measure the relationship between census tract-level college completion rates and the rates at which first lien refinance mortgage applicants submit incomplete loan applications, withdraw loan applications before they are reviewed, and reject lender approved loan offers. This paper also explores the relationship...

Journal: :IMF Policy Paper 2023

This paper presents six Resilience and Sustainability (RST) contribution agreements finalized with contributors between December 2022 March 2023 including an existing agreement that was amended restated. The concluded provide for contributions in a total amount of about SDR 9.5 billion across the three RST accounts – loan account, deposit reserve account. new members add critical resources supp...

2015
Karen Harker Janette Klein Laurel Crawford

The University of North Texas (UNT) Libraries has developed a unique collection assessment tool, the Collection Map, to provide support for a new access‐based collection development philosophy. UNT Librarians realized the limitations of traditional assessment methods to gauge the impact of emerging acquisitions models such as demand‐driven acquisitions (DDA) and large interdisciplinary e‐book c...

2010
Gene E. Robinson Jody A. Banks Dianna K. Padilla Warren W. Burggren C. Sarah Cohen Charles F. Delwiche Vicki Funk Hopi E. Hoekstra Erich D. Jarvis Loretta Johnson Mark Q. Martindale Carlos Martinez Del Rio Monica Medina David E. Salt Saurabh Sinha Chelsea Specht Kevin Strange Joan E. Strassmann Billie J. Swalla Lars Tomanek WARRen W. buRGGRen C. sARAh Cohen ChARles F. delWiChe ViCki Funk

Author(s): Gene E. Robinson, Jody A. Banks, Dianna K. Padilla, Warren W. Burggren, C. Sarah Cohen, Charles F. Delwiche, Vicki Funk, Hopi E. Hoekstra, Erich D. Jarvis, Loretta Johnson, Mark Q. Martindale, Carlos Martinez Del Rio, Monica Medina, David E. Salt, Saurabh Sinha, Chelsea Specht, Kevin Strange, Joan E. Strassmann, Billie J. Swalla and Lars Tomanek Source: BioScience, 60(11):923-930. 20...

Journal: :JASIST 2016
Daniel M. Coughlin Mark C. Campbell Bernard J. Jansen

index Access only to abstracts provided Usage Packages, Databases Citations/impact factor How often journal is cited both locally and globally Cost per use Successful full-text downloads/cost Interlibrary loan (ILL) use Comparing cost per use with cost of ILL JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY—•• 2015 3 DOI: 10.1002/asi 520 JOURNAL OF THE ASSOCIATION F R INFORMATI...

2007
Heinrich Voss

In 8] and 9] W. Mackens and the present author presented two generalizations of a method of Cybenko and Van Loan 4] for computing the smallest eigenvalue of a symmetric, positive deenite Toeplitz matrix. Taking advantage of the symmetry or skew symmetry of the corresponding eigenvector both methods are improved considerably.

2000
Craig Furfine

This paper develops a structural, dynamic model of a banking firm to analyse how banks adjust their loan portfolios over time. In the model, banks experience capital shocks, face uncertain future loan demand, and incur costs based on their proximity to regulatory minimum capital requirements. Non-linear relationships between bank capital levels and lending are derived from the model, and key pa...

2006
Nooraini Yusoff Fadzilah Siraj

This study introduces i-Neuro, a decision support system that can assist in loan decision making by educational loan funding institutions. i-Neuro is a predictive system that integrates Neural Network technique, thus can help the management to predict which application to accept or reject. The prediction can be done as Neural Network has trained previous batch of loan application data and store...

Journal: :Journal of Corporate Finance 2021

This paper uses loan application-level data from a peer-to-peer lending platform to study the risk-taking channel of monetary policy. By employing direct ex-ante measure and estimating simultaneous equations approval amount, we provide evidence policy's impact on nonbank financial institution's risk-taking. We find that search-for-yield is main driving force effect, while do not observe consist...

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