Factoring as a Perspective Financial Product of the Modern Market
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.
Bibliographic record
Abstract
The article shows the factoring application feature analysis in Russia. Factoring represents a range of services for manufacturers and suppliers who conduct trading activities on a deferred payment basis, and it is currently one of the fastest growing financial services. In its development, Russian factoring has avoided crises and everything that many other sectors of the Russian economy have suffered from. In particular, the article revealed that in recent years the market has grown due to the seriously increased interest of banks - in a crisis, factoring is the least risky product, and players began to actively promote it. The article describes the advantage of factoring over a close financial service - a loan. In addition, directions for the factoring development in the Russian economy were also formulated. In Russia, factoring has only recently begun to actively develop and become successful among organizations engaged in trading. As for foreign experience, the use of factoring is growing rapidly in Western Europe, the USA and Asia. Also in this research we have analyzed the dynamics of factoring services in Russia for the period from 2010 to 2018. Despite the problems and shortcomings of this financial instrument, it has development prospects that are connected with the stabilization of external economic factors, the exchange rate and increasing of the resource provision of financial institutions.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it