The Disruption of the Prudential Regulatory Framework

2019 ◽  
Vol 5 (2) ◽  
pp. 220-238
Author(s):  
Paolo Siciliani
Keyword(s):  
Predictive Analytics ◽  
Credit Scoring ◽  
Regulatory Framework ◽  
Sources Of Information ◽  
Credit Risk Management ◽  
Macroprudential Policy ◽  
Shared Data ◽  
Regulated Firms ◽  
Strategic Gaming ◽  
New Type

ABSTRACT This article first explores how the prudential regulatory framework may be drastically changed as a result of the adoption of regtech and suptech innovations. The adoption of a shared data architecture, whereby the regulator is provided with seamless access to the accounts of regulated firms, may result in the development of a centralized approach to regulatory modelling, thus bypassing the existing partition between internal models and standardized approaches. Secondly, this article discusses how, thanks to the adoption of advanced predictive analytics, non-bank fintech lenders can gain insights into borrowers’ creditworthiness irrespective of banks’ control over traditional sources of information for credit scoring. This, though, may give rise to a new type of strategic gaming, this time by borrowers keen to maximize their chances of being granted a loan. In any case, preventing banks from adopting these new methods for the purpose of regulatory modelling might weaken their competitiveness. Thirdly, this article explores whether the transition to a centralized approach for credit risk management would conflate the distinction between microprudential and macroprudential interventions, in particular with respect to the countercyclical macroprudential policy. Finally, the article argues that non-bank (fintech) firms could be persuaded to coalesce behind endorsement of the new regulatory shared data platform in return for the support from the central bank. In this way, the regulatory perimeter could be extended in order to steer the adoption of financial innovations in a manner that benefits society overall.

scholarly journals ANALISIS CREDIT SCORING DAN FAKTOR-FAKTOR YANG MEMPENGARUHI NPF PEMBIAYAAN MURABAHAH PADA PT BANK MUAMALAT INDONESIA

2020 ◽  
Vol 3 (2) ◽  
pp. 204
Author(s):  
Siti Aisyah Nurrizqi Rahmadania ◽  
Nurismalatri Nurismalatri
Keyword(s):  
Quantitative Research ◽  
Financial Risk ◽  
Credit Scoring ◽  
Mortgage Loan ◽  
Credit Risk Management ◽  
Scoring Model ◽  
Descriptive Research ◽  
Potential Indicator ◽  
Positive Effect ◽  
Credit Scoring Model

Credit scoring is a tool for predicting the financial risk of loan customers and helping banks in analyzing new loans to be provided to customers which is useful for strengthening the credit risk management system. The purpose of this study was to determine how the application of the credit scoring model in mortgage financing or sharia housing in Muamalat banks and to determine the factors that influence murabahah financing Non Performing Financing (NPF). The research method used is descriptive research and quantitative research. The results of the first part of the study indicate that the credit scoring model has become a explanatory variable or potential indicator that has been used by Muamalat banks since 2013 in making mortgage loan decisions. There are 12 assessment parameters based on risk weights in them. The results of the second part of the study show that the rupiah exchange rate has a positive effect on NPF of murabahah financing, while inflation and GDP have no effect on the NPF of murabahah financing

Predictive Analytics to Support Clinical Trials Get Healthier

2018 ◽  
pp. 222-239
Author(s):  
Ankit Lodha ◽  
Anvita Karara
Keyword(s):  
Clinical Trials ◽  
Predictive Analytics ◽  
Big Data Analytics ◽  
Sources Of Information ◽  
Healthcare Organizations ◽  
Data Set ◽  
Individual Trial ◽  
Utilization Data ◽  
The Individual ◽  
Clear Idea

The concept of clinical big data analytics is simply the joining of two or more previously disparate sources of information, structured in such a way that insights are prescribed from examination of the new expanded data set. The combination with Internet of Things (IoT), can provide multivariate data, if healthcare organizations build the infrastructure to accept it. Many providers are able to integrate financial and utilization data to create a portrait of organizational operations, but these sources do not give a clear idea of what patients do on their own time. Embracing the centrality of the IoT would relinquish the idea that provider is the only pillar around which healthcare revolves. This chapter provides deeper insights into the four major challenges: costly protocol amendments, increasing protocol complexity and investigator site burden. It also provides recommendations for streamlining clinical trials by following a two dimension approach-optimization at a program level (clinical development plan) as well as at the individual trial candidate level.

Getting on board: the business case for improving on-campus transportation at NAU

2017 ◽  
Vol 13 (5) ◽  
pp. 633-660
Author(s):  
Joe Anderson ◽  
James I. Hilliard ◽  
Josh Williams ◽  
Susan K. Williams
Keyword(s):  
Predictive Analytics ◽  
Business Case ◽  
Business Analytics ◽  
Discounted Cash Flow ◽  
Content Type ◽  
First Semester ◽  
Mba Program ◽  
Purchase Cost ◽  
New Type ◽  
The University

Synopsis Josh Williams is a Student at the NAU who has driven buses on campus and wants to improve the transportation on campus. He is convinced that purchasing a new type of bus that is more fuel efficient, has larger capacity, better designed for boarding, and has a longer life is worth the higher purchase cost. He sets out to prove it by creating a discounted cash flow (DCF) analysis. Since many of the estimates for the DCF analysis are uncertain, he decides to perform a Monte Carlo simulation (MCS) analysis. Students are asked to step into Josh’s role and perform the analysis. Research methodology Josh Williams was a Student in the authors’ MBA program. Both authors teach in this program and one author was the Advisor for Net Impact and worked with Josh to present his idea to the university administration. The authors have changed a name or two but otherwise, the case describes a real situation in a real organization without disguise. Relevant courses and levels The authors have used this case in a first semester MBA-Applied Management course, Decision Modeling and Simulation. Students already have experience with DCF analysis and have been introduced to MCS. With this case, students apply MCS at the conclusion of a three-week module on predictive analytics. Students have run at least two MCS models and have become comfortable with the software. The case would also be appropriate for a senior-level undergraduate course such as business analytics or management science. It might also be useful for other courses that include the MCS modeling technique learning objectives such as project management. Theoretical bases This case provides an opportunity for students to perform an MCS analysis. MCS is useful when many of the inputs to a DCF analysis (or any model) have been estimated and the modeler is concerned that the estimates are uncertain and could perhaps be a range of values. MCS can be used to understand the effect of this uncertainty on NPV which in turn may affect the decision. The case could also be used without MCS focusing just on the DCF analysis with deterministic sensitivity analysis.

scholarly journals Risk Pricing in Emerging Economies

2016 ◽  
Vol 5 (1) ◽  
pp. 51-72
Author(s):  
Yiannis Anagnostopoulos ◽  
Milad Abedi
Keyword(s):  
Risk Management ◽  
Credit Risk ◽  
Management Practices ◽  
Credit Scoring ◽  
Real Data ◽  
Probit Regression ◽  
Credit Risk Management ◽  
Risk Pricing ◽  
Score Model ◽  
Correct Estimation

Iran’s banking industry as a developing country is comparatively very new to risk management practices. An inevitable predictive implication of this rapid growth is the growing concerns with regard to credit risk management which is the motivation of conducting this research. The paper focuses on the credit scoring aspect of credit risk management using both logit and probit regression approaches. Real data on corporate customers are available for conducting this research which is also a contribution to this area for all other developing countries. Our questions focus on how future customers can be classified in terms of credibility, which models and methods are more effective in better capturing risks. Findings suggest that probit approaches are more effective in capturing the significance of variables and goodness-of-fitness tests. Seven variables of the Ohlson O-Score model are used: CL_CA, INTWO, OENEG, TA_TL, SIZE, WCAP_TA, and ROA; two were found to be statistically significant in logit (ROA, TL_TA) and three were statistically significant in probit (ROA, TL_TA, SIZE). Also, CL_CA, ROA, and WCAP_TA were the three variables with an unexpected correlation to the probability of default. The prediction power with the cut-off point is set equal to 26% and 56.91% for defaulted customers in both logit and probit models. However, logit achieved 54.85% correct estimation of defaulted assets, 0.37% more than what probit estimated.

scholarly journals Corporate Financial Transgression and Effects of Changes in Regulatory System in India

2019 ◽  
Vol 8 (12) ◽  
pp. 1880-1884
Keyword(s):  
Financial Reporting ◽  
Regulatory System ◽  
Regulatory Framework ◽  
Sources Of Information ◽  
Reporting Practices ◽  
Secondary Sources ◽  
Corporate World ◽  
Regulatory Bodies ◽  
Developed Nations ◽  
Made In

Financial Transgression is a problem which has surrounded the Corporate World. Violation of regulatory provisions and gaps in financial reporting practices have led to occurrence of frauds. Developing as well as Developed Nations, both are victims of this problem. This paper is an attempt to find the various reasons of financial transgression in India and evaluation of subsequent changes made thereafter by regulatory bodies in the statutes so that no such cases occur in future. Secondary sources of information were used to cover the cases of financial transgression in India for the period 1991 i.e. beginning of LPG regime till 2018 for the purpose of the paper which leads to changes in regulatory framework and reporting practices. The timeline of the cases in India is strategically hinting towards the weak regulatory system of India along with late changes made in the relevant regulatory framework. Whenever a new case of financial transgression has been reported, it reflected the loopholes in the system. So it is high time for India to learn a hard lesson for the growth of the economy

Evolution of the Russian Empire gendarmerie in the 1860s – early 1880s: Organizational and Legal Aspect

2020 ◽  
pp. 78-82
Author(s):  
Valeriy Vasilyevich Romanov ◽  
Nikolai Nikolaevich Arzamaskin ◽  
Oksana Viktorovna Misyakova
Keyword(s):  
Positive Impact ◽  
Legal Aspect ◽  
Russian Empire ◽  
Regulatory Framework ◽  
Organizational Reform ◽  
Adequate Response ◽  
New Type ◽  
The Russian Empire

This study presents analyses of developing process of the regulatory framework and the results of the implementation of the organizational reform of the Russian Empire gendarmerie in the mid-1860s – early 1880s. The process of developing the regulatory framework for the reform was intense and produc-tive, which was not typical of Russian lawmaking. Analyzing the implementation of the reform, the authors examine two contradictory, but interrelated processes: the elimination of post-reform units and the process of formation of various types of units at the local, regional and central levels. A new type of local subdivisions is being formed “security de-partments”, subsequently playing an important role in the functioning of the institute. It is noted that on the territory of the national outskirts, the process of formation of local post-reform bodies had certain peculiarities. In general, the organizational reform was an adequate response to the challenges of the time, had a positive impact on the functioning of the institute and its results were sustainable.

Research on Power Marketing Strategy Based on Intelligent Power Community

2013 ◽  
Vol 443 ◽  
pp. 253-257
Author(s):  
Wen Dong Niu
Keyword(s):  
Smart Grid ◽  
Customer Relationship Management ◽  
Customer Relationship ◽  
Credit Risk Management ◽  
Smart Power ◽  
Resource Valuation ◽  
Customer Knowledge Management ◽  
Depth Analysis ◽  
New Type ◽  
Basic Functions

smart power technology is an important part of the smart grid, based on the analysis of the concept of smart grid and smart power technology and research status,the paper propose a new type of two-way interactive customer intelligent power marketing system. With reality, from the surface of the information collection system, intelligent demand-side management, customer knowledge management, load control, customer credit risk management, customer relationship management, customer resource valuation analysis of the basic functions of each sub-system and path, in-depth analysis of smart power technology and power marketing work.

scholarly journals Regulatory framework for civil aviation between the EU and the UK after Brexit

2021 ◽  
Author(s):  
Maroš Vereš ◽  
◽  
Anna Tomová
Keyword(s):  
European Union ◽  
United Kingdom ◽  
Regulatory Framework ◽  
Air Transport ◽  
Civil Aviation ◽  
The European Union ◽  
Sources Of Information ◽  
Economic Relations ◽  
The United Kingdom ◽  
The Uk

This paper deals with the topic of Brexit, and its objective is a complex description of the new regulatory framework of civil air transport in United Kingdom. The methods like description, analysis and synpaper were applied on extensive and diverse sources of information, e.g. case laws, regulations, studies or expert articles. The paper introduces a comprehensive set of facts that clarify the act of withdrawal of the United Kingdom from the European Union. The explanation of the new regulatory framework of civil air transport for the United Kingdom, and its impact on the United Kingdom and the European Union, brings contribution to the students of Department of Air Transport. The significance of the work is mainly in the timeliness of the topic, that could subsequently be used as an educational material in the field of air transport within the international economic relations.

scholarly journals Katharina von Bora: peculiarities of the protestant marriage at the early 16th century

2020 ◽  
pp. 6-23
Author(s):  
A.A. Moisa
Keyword(s):  
Role Model ◽  
Reform Movement ◽  
16Th Century ◽  
Sources Of Information ◽  
The Reformation ◽  
Table Talk ◽  
New Type ◽  
Unusual Representative ◽  
Significant Question

In the article the author explores some peculiarities of the protestant marriage, its foundations developed by the reform movement at the early 16th century. Marriage occupied a special place in the Luther’s doctrine due to the critique of the Catholic ideal of celibacy and asceticism. The author tries to show the new type of marriage through the prism of the biography of Katharina Luther (maiden name von Bora), an unusual representative of her epoch. Another significant question is how gender roles described in works by Luther, applied to his own family. The research is based on various sources of information: the evidences of the contemporaries, collected in the “Table Talk”, on the private cor-respondence of Luther and his wife with their companions. The author explains a role of a woman as wife and as mother and em-phasizes her opportunities and rights in the new Reformed socie-ty. Therefore, the article evaluates how the marriage alliance be-tween the leader of the Reformation and his wife, which became a role model of marital relationship, influenced the future devel-opment of the institute of family.

scholarly journals Un modelo de credit scoring para instituciones de microfinanzas en el marco de Basilea II

2010 ◽  
Vol 15 (28) ◽  
pp. 89-124
Author(s):  
Salvador Rayo Cantón ◽  
◽  
Juan Lara Rubio ◽  
David Camino Blasco ◽  
◽  
...  
Keyword(s):  
Credit Scoring ◽  
Capital Requirements ◽  
Basel Ii ◽  
Microfinance Institutions ◽  
Credit Risk Management ◽  
Validation Process ◽  
Interest Rate Policy ◽  
Rate Policy ◽  
Bank System ◽  
Credit Scoring Model

The growth of microcredit worldwide along with international rules on capital requirements (Basel II) are increasing the competition between microfinance institutions (MFIs) and banks for this business segment. The bank system traditionally has relied on adequate credit scoring models to analyze the risk of payment failures, but this has not been the case in supervised MFIs. The objective of this research is to design a credit scoring model for any institution subjected to supervision and specialized in microcredit as the Development Agency for Small and Micro Enterprise (Entidad de Desarrollo de la Pequeña y Micro Empresa - Edpyme) of the financial system in Peru. The results of this research includes a methodology and the steps needed to design the model, and the assessment and validation process that can be applied in the business area, in particular, to establish an interest rate policy with customers. Eventually, the paper also explains how the model can be used to develop credit risk management under the Basel II IRB approaches.

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