TL;DR: Using data from a leading European P2P platform, machine learning algorithms are applied to build classification models that can predict the success of secondary market offers and it is found that random forests offer the best classification performance.
Abstract: Predicting loan default in peer-to-peer (P2P) lending has been a widely researched topic in recent years. While one can identify a large number of contributions predicting loan default on primary market of P2P platforms, there is a lack of research regarding the assessment of analytical methods on secondary market transactions. Reselling investments offers a valuable alternative to investors in P2P market to increase their profit and to diversify. In this article, we apply machine learning algorithms to build classification models that can predict the success of secondary market offers. Using data from a leading European P2P platform, we found that random forests offer the best classification performance. The empirical analysis revealed that in particular two variables have significant impact on success in the secondary market: (i) discount rate and (ii) the number of days the loan had been in debt when it was put on the secondary market.
TL;DR: In this paper, the authors proposed a system, method and program of making loans with tax benefits, where instead of a conventional loan note, or mortgage the financer takes a portion of equity in the company (this may, or may not hold real estate).
Abstract: The current invention is a system, method and program of making loans with tax benefits. Instead of a conventional loan note, or mortgage the financer takes a portion of equity in the company (this may, or may not hold real estate). This has the advantage of not being a formal 2 nd mortgage, as this is often forbidden by a primary financer (though it can be secured by a lien on an asset) in addition to the ownership of stock. This is often called an “assignment of partnership interest”. The gradual payments to the financer of interest and principal perform much like a loan note, however payments have the advantage of technically being dividends rather than interest, so are taxed at a lower rate.
TL;DR: In this paper, a system and method for facilitating financial transactions uses a digital loan file that includes identification information identifying a borrower, financial information associated with the borrower, and credit information associated to the borrower.
Abstract: A system and method for facilitating financial transactions uses a digital loan file that includes identification information identifying a borrower, financial information associated with the borrower, and credit information associated with the borrower. The information in digital loan file is compared against guidelines of one or more lenders to appropriately grade the borrower and price the lenders' products accordingly. The digital loan file may also be used to 'electronically paper' the loan by including various documentation associated with the loan including one or more of a loan application, a credit report, an appraisal of the collateral, a title, a loan note, a deed, etc. In addition, the digital loan file may be updated from time to time to reflect changes in a status of the borrower and/or determine a market value of the loan.
TL;DR: In this paper, the authors present a tax model for the taxation of foreign exchange gains and losses in the context of loan relationships, including the charging provisions, interest and interest equivalents, and general computational provisions.
Abstract: "Abbreviations and References, Glossary, Tables of Statutes, SIs, EU Directives, EC Treaty Articles, OECD Model Convention and Cases, Introduction, Loan Relationships: scope and definition, Loan Relationships: the charging provisions, Interest and interest equivalents, Structured capital finance, Debt securities, Loan Relationships, general computational provisions, Losses, Loan Relationships, special computational provisions, Reorganisations, acquisitions and disposals, Special companies, Introduction to the taxation of foreign exchange gains and losses, Overview of the 1993 Finance Act foreign exchange tax regime, Foreign exchange within the FA 2002 proposals, Matching foreign exchange gains and losses, Local currency companies - use of currency other than sterling, Derivative contracts, derivative contracts: computation of profits, Collateralised transactions, Anti-avoidance rules, Appendix 1 - Loan note, Appendix 2 - Letter of credit, Appendix 3 - Hansard extract, 29/2/96, Appendix 4 - Convertible loan stock, Appendix 5 - Zero coupon bond, Appendix 6 - ESC 8/8/96, Appendix 7 - Hansard Extract, 28/3/96-Unallowable purpose, Appendix 8 - Derivative contracts, Appendix 9 - FA 1942, s 47, Appendix 10 - Financial formulae and examples, Appendix 11 - BIS Press Release on Tier 1 Capital, Index."