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Terms of Service
..., the person accessing the website in whichever capacity and accepting the Open Risk’s terms and conditions. "The Company", “Ourselves”, “We” and "Us", refers to Open Risk.

8 KB (1,280 words) - 09:10, 30 May 2017
Privacy Policy
<h3>Personal Data Collected:</h3> <p><b>Registration data: </b>Some of our services <i>may</i> require you to sign up for an Account.

3 KB (521 words) - 16:00, 16 May 2022
Advanced Features
The Advanced Features feature of the Open Risk Manual include: ...b Semantic Web], an extension of common web standards provides that allows data to be shared and reused across application, enterprise, and community bound

4 KB (537 words) - 12:27, 16 May 2020
Risk Event
...the description of a risk event would be necessarily based on [[Aggregated Data]] ...possible an [[Event Timeline]]. The required detail of that description is open-ended and depends on the use case and context.

3 KB (517 words) - 15:08, 10 August 2021
Default Rate
...tution does not give equal importance to historic data because more recent data is a better predictor of losses in accordance with Article 180(2)(e) of Reg === External Risk Data ===

11 KB (1,612 words) - 14:40, 6 September 2020
EU Financial Regulation
| Open up digital opportunities for people and business and enhance Europe's posit ...on actively traded markets. Limit regimes, high-frequency trading, market data disclosures, central clearing counterparties

11 KB (1,404 words) - 20:56, 27 September 2021
Berger-Parker Index
Assuming the exposure data are given and ordered , calculation is easy. Although the data requirements for the Berger-Parker calculation seem to be moderate at first

2 KB (279 words) - 13:43, 16 April 2020
EBA NPL Template
...iding these templates to allow banks to supply comparable and standardised data on NPLs to investors and other stakeholders. ...entation costs. Within the templates users should be able to identify the data needed by investors to fairly price an NPL portfolio.

6 KB (840 words) - 16:20, 3 February 2023
Best Practices in Credit Portfolio Management
* The Factual Basis (Data) underpinning the framework ** Portfolio Data Availability

12 KB (1,494 words) - 20:11, 11 March 2024
Open Source Data Quality Software
== Open Source Data Quality Software == ...Source Data Quality''' software distributions that cover some aspect of [[Data Quality]] assessment.

4 KB (453 words) - 16:30, 27 November 2020
RiskBot Manual
== Semantic Risk Data == This is a brief description of the semantic data functionality of the Open Risk Manual when using an external client

161 bytes (25 words) - 14:29, 19 September 2019
Risk Management Heroes
...jective list aiming to provide useful pointers for reading / research. The Open Risk manual is not the Nobel Prize Foundation :-)''' that offers new possibilities for establishing data based ground truth || The technology has significant shortcomings at the te

7 KB (982 words) - 13:03, 12 October 2021
Credit Rating Scale
...th Article 180(1)(f) of the CRR as being equivalent to the use of external data for PD quantification at a more aggregated level (external grade) rather th ...obligors. Biases or inconsistencies in the mapping approach or underlying data must be avoided. To comply with these requirements, institutions should fol

6 KB (932 words) - 16:06, 22 February 2021
Empirical Transition Matrix
...is produced directly via a process of statistical estimation from observed data. ...of transition rates can be complicated if the underlying phenomena or the data collection process involve additional elements that interfere with the esti

787 bytes (92 words) - 17:18, 29 October 2018
Credit Data
...individual or an organization, or more generally allows the application of data driven [[Credit Portfolio Management]] policies. == Types of Credit Data ==

3 KB (369 words) - 19:15, 6 March 2023
Realised LGD
...ults) an institution has, the less importance it needs to give to external data. ...ntains a minimum number of defaults in order to determine whether external data are sufficiently representative.

15 KB (2,397 words) - 10:24, 14 May 2021
Catalog of Loss Given Default Models
* references with [[Open Source Risk Management Software | open source implementations]] ...quantification approaches, depending on the nature of the credit risk, the data and expertise available etc. A classification of typical LGD Model categori

6 KB (778 words) - 12:39, 16 September 2021
Credit Scoring with Python
...[[Credit Scoring]] processes that are built around [[Open Source Finance | open source software]]. ...ped quantitatively using [[Historical Information | historical performance data]].

8 KB (1,121 words) - 13:48, 21 September 2020
Long Data Format
...iple entities. Its defining characteristic is that each table row contains data pertaining to one entity at one point in time. ...ernative representation of the same data is the Wide Data Format.<ref>Tidy Data, H.Wickham, Journal of Statistical Software</ref>

1,018 bytes (143 words) - 17:47, 8 November 2019
Wide Data Format
...ities. Its defining characteristic is that each table row contains all the data pertaining to any one entity. ...ternative representation of the same data is the Long Data Format<ref>Tidy Data, H.Wickham, Journal of Statistical Software</ref>

748 bytes (102 words) - 14:23, 28 January 2019