Senior-subordinated structure: buffer or signal in securitisation?

Filomeni, Stefano; Baltas, Konstantinos

doi:10.1080/1351847x.2022.2052140

Cited by 2 publications

(1 citation statement)

References 39 publications

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“…In the auction procedure, there is often a long lag time for each process, this has an impact on the length of time for the collateral to be disbursed; (2). Strict regulations in conducting auctions are considered to reduce the income of the seller/collateral owner, because of the procurement and implementation costs to related parties; (3). The application of the Geo-Location method in displaying the location and information on collateral is considered very helpful in the process of finding prospective buyers and increasing sales revenue.…”

Section: Discussionmentioning

confidence: 99%

Information Technology of Credit Collaterals That Will Be Auction Based on Google Maps

Prayudi¹,

Mukhroji²,

Ginting³

et al. 2022

ijmsit

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Collateral is an asset owned by the borrower that is promised to the lender if the borrower is unable to repay the loan. If the borrower defaults, the lender can have the collateral at the beginning of the loan. The lack of dissemination of information, and the lack of informativeness of the media for delivering information on credit collateral that will be auctioned off to the general public has resulted in low competitiveness among buyers of collateral to be auctioned off. To solve this problem, an approach is needed in delivering information that is informative and on target. The purpose of this study is to increase prospective buyers, thereby triggering competitiveness against nominal bid prices, the process of delivering information to be more efficient and effective by implementing new innovations in advertising credit collateral information that will be auctioned. The methodology used in this paper is a Mind Map, flowmap and S.W.O.T analysis by developing a Geo-Location application for Credit Collateral that will be auctioned. By using this application, the company's revenue growth increases compared to not using the application.

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Section: Discussionmentioning

confidence: 99%