A Study on Transmission Mechanism of Financial Supervision with Chaos Theory/UNE ÉTUDE SUR LE MÉCANISME DE TRANSMISSION DE LA SUPERVISION FINANCIÈRE AVEC LA THÉORIE DE CHAOS
Bibliographic record
Abstract
Abstract: The linear rule was a general mode in the analysis of market order and financial supervision, but it frequently caused serious deviation of the market order from the supervision goal. This paper was devoted to solve the deviation with chaos model. Firstly, it substituted the operating condition of the financial institution for market order, and defined the supervision degree as a function of effective rules and realizable level. Secondly, it taked these indexes into Logistic Equation to calculate the fixed points, and simulated the complex changes of market order. Thirdly, it analyzed the characteristics of the stable numerical solution in the inter-temporal differential equation. Lastly, it explained the foresight, the exogenous, the carefulness, and the time lags of the financial supervision with chaos control theory. It deduces that when the supervision degree falls into [3, 3.554], the supervision can lead to a well-ordered market. Key words: nonlinear control, market order, financial supervision, transmission mechanism Resume: La regle lineaire etait un mode general dans l'analyse de l'ordre de Bourse et de la supervision financiere, mais elle a frequemment cause la deviation serieuse de l'ordre de Bourse du but de surveillance. Cet article a ete consacre pour resoudre la deviation avec le modele de chaos. D'abord, il a substitue la condition de fonctionnement de l'institution financiere a l'ordre de Bourse, et a defini le degre de supervision en fonction des regles efficaces et du niveau realisable. Deuxiemement, il a pris ces index dans l'equation logistique pour calculer les points fixes, et a simule les changements complexes de l'ordre de Bourse. Troisiemement, il a analyse les caracteristiques de la solution numerique stable dans l'equation differentielle intertemporelle. Finalement, il a explique la prevoyance, l'exogene, l'attention, et les laps de temps de la supervision financiere avec la theorie de controle de chaos. Il deduit que quand le degre de supervision tombe dans [3, 3.554], la supervision peut mener a un marche bien-commande. Mots-Cles: controle non-lineaire, ordre de Bourse, supervision financiere, mecanisme de transmission (ProQuest: ... denotes formulae omitted.) 1. INTRODUCTION Finance is a key to modern economy, and its safety is very important to the whole economic activity. It is emphasized in National Finance Conference that we must strengthen the finance supervision to maintain the safety of finance, to improve the supervision system and supervision skill. But with the change of the space, the object and the environment, traditional finance supervision mode which based on simplicity and certain is facing more and more challenge. For example, the supervisor always faces such a question as why the supervision with the certain goal can not get the expected effect, even sometimes the result is opposite to the expect. Under the traditional mode which always ignores the importance of supervision process, supervisor tends to accept the idea that there is a certain relationship between financial supervision and market order, and also thinks that market order is the result of some dedicated supervision method. If occurring some error, it should be explained by external noise source, and they should be in the expected period domain. Otherwise, such a machined determined research mode is more and more unfit to complicated finance situation, and can't explain the chaos and complex situation of the finance system, and always causes a disagreement between the expected goal and the actual effect. As a result, a possible disaster to economic prediction and macro economic appears sometimes. According to this, we accept the idea that it is very important to study the transmission mechanism of the financial supervision basing on nonlinear mode. 2. CHAOS CONTROL MODEL G..Nicolis and Prigogine( 1986(3) )pointed that (system's) evolution can be realized by suitable imbalance restriction . …
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.
How this classification was reachedexpand
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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".