Cenerus introduces AIICR Scoring System | Cenerus posted on the topic | LinkedIn (2024)

Cenerus

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Announcing the ASYMMETRIC INFORMATION AND INTELLIGENCE CREDIT RISK (AIICR - “a-ker”) Scoring SystemThe Cenerus AIICR System is a credit risk management approach attacking the impact of borrower risk changing faster than the bank can react. Information deteriorates over time.  Many loan, credit and portfolio reviews use mostly / all existing data in the file.  If the data used in the review is outdated or inaccurate, the review has no value.  Proactive management protects the balance sheet. If the risk management is proactive, credit pricing is tighter because risk is reduced.       Cenerushas built a model for Asymmetric Information and Intelligence Credit Risk to help helps banks get faster, earlier insight to their own data and take back control of their portfolios. The management of AIICR – reducing the asymmetry of information - enables banks to better protect their balance sheets, create a lending approach with more tightly managed credit and therefore pricing. Effective and consistent implementation of the AIICR methodology allows banks to maintain an active view of the credit portfolio to assess whether additional liquidity measures are necessary.Download the executive overview today and contact us at team@cenerus.com for access to the full AIICR white paper.

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  • Sam Rosenfeld

    Execution with a sense of urgency. Business owner and board member across financial and non-financial risk in domestic, international and frontier markets.

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    Banks imply the risk that a borrower's situation will change (it'll fail) before they know about it. Cenerus' proprietary AIICR approach makes the information gathering, analyzing and presenting to decision makers an explicit risk that can be managed - creating substantial opportunities. Want to know more?

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  • Rohit Lele

    MSc Finance | University College Dublin

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    The Vasicek model A prominent structural credit risk model widely used, particularly as a foundation for calculating RWA's under the advanced IRB approach in credit risk management.The Vasicek model calculates the default probability of a borrower, conditioned upon the realisation of a systematic state variable. Assets as Random Variables: Starting with the premise that a borrower's assets are random and their returns can be modelled by standard normal distribution.Decomposition;- Systematic Variable: Captures economic or market-wide factors affecting all borrowers to some extent.- Idiosyncratic Variable: Captures factors specific to the individual borrower.Asset Correlation: An asset correlation parameter links the systematic and idiosyncratic variables, influencing the extent to which broader economic conditions affect an individual borrower.Basel IRB -Under the assumption of a large hom*ogeneous portfolio, the model leads to the Basel IRB formula, which is a standard for regulatory capital calculations.IFRS9-For financial reporting under IFRS9, the model helps convert a TTC PD to a PIT PD. Particularly useful for large exposures and involves constructing a time series for the systematic variable, often reflecting the credit cycle.Stress Testing-By manipulating the systematic variable, analysts can model stress scenarios and predict stressed PD's, aiding in understanding potential risks under adverse economic conditions.Portfolio Credit Analytics-From a risk manager's perspective, the model is instrumental in analysing the credit risk of portfolios, helping to strategise investments based on predicted credit events.

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  • Hassan Ahmed

    Graduated from The British University in Egypt

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    Completion of Credit Risk Management: Frameworks and Strategies!!I'm able to :Understand conventional concepts related to risk management: unexpected loss, default probability, loss-given-default, risks vs rewards, and credit spread.Review default rates and trends in credit markets during normal periods, and periods of stress and trends in bankruptcies and insolvencies.Show how market indicators (from equity and debt markets) account for credit risks or show implied default probabilities; review how credit models attempt to measure default probabilities.Understand the distinction between credit default and credit deterioration and the use of a Credit “Value at Risk” metric.Review the primary concepts of portfolio risk management, including concentration and correlation risks.Review important methods and techniques to reduce credit risks and exposures, including credit derivatives.Review the primary purposes of credit analysis and the importance of presenting rational, updated assessments.Review the primary purposes of credit exposures (including funding corporate balance sheets and business operations).Understand how analysis leads to an overall credit rating of the borrower, a risk strategy and outlook, and approaches to structuring credit exposures (loans, e.g.).Identify and quantify the various categories and forms of credit exposure with corporate counterparties (loans, revolving credit commitments, counterparty-trading exposure, e.g.).Identify and summarize various types of credit structures based on tenor, collateral, ranking and amortization.#creditrisk #financialanalysis #creditanalysis

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  • Syahril Nizam

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  • Risk-Enterprise

    1,064 followers

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    Developing a comprehensive credit risk assessment framework is crucial for effective credit risk management in corporate environments. This entails evaluating potential borrowers, managing existing credit relationships, and mitigating credit risk. Here's a practical tip to achieve this:Implement a multi-dimensional credit scoring system that considers financial metrics and qualitative factors such as industry trends, market conditions, management competence, and competitive positioning. By incorporating both quantitative and qualitative data, your credit assessment becomes more accurate and reflective of the holistic risk profile of a borrower. This approach enables your business to make informed decisions, allocate credit resources efficiently, and mitigate credit risks effectively.Sign up for our risk rating models:info@risk-enterprise.com

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  • Sara Cerrone

    Chiomenti. Derivatives.

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    The ECB report on “Sound practices in counterparty credit risk governance and management” (Oct. 2023) is an interesting read.The ECB has put together a collection of sound practices in CCR governance and management, observed during a review carried out in Q4-2022, with respect to 23 institutions active in derivatives and securities financing transactions (SFTs) with non-banking counterparties. According to the report, the targeted banks held on aggregate ca. €1,245 billion of CCR exposure value (of which, 59% was derivatives and 41% SFTs) and €278 billion of CCR risk-weighted exposure amount (RWEA) (of which, 82% was derivatives and 18% SFTs), at the reference date for the exercise, i.e., 31 March 2022. In addition to identifying a number of good industry practices already in use by institutions, the review showed areas for improvement. Supervisors’ expectations cover, among others, (i) customer due diligence (procedures to obtain information from non-banking counterparties should be improved, and the DD outcome should be reflected on credit decisions and contractual conditions), (ii) definition of risk appetite (institutions with material CCR exposures should explicitly specify their willingness to accept this risk in their risk appetite statement), (iii) default management processes (banks are expected to regularly stress test their CCR exposures) and stress testing frameworks (stress testing results should have an impact on risk mitigation strategies). https://lnkd.in/dQsrHJrJ

    Sound practices in counterparty credit risk governance and management bankingsupervision.europa.eu

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  • Aditya Rijal

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    As banking professionals, we need to understand that credit risks are an integral part of our industry. To ensure successful risk management, it's crucial for management to establish clear risk appetites for their lending organizations. Additionally, effective communication of risk policies and the necessary skills for high-stakes risk-taking is crucial for all levels of credit officers within a bank. Working together to ensure that our risk management strategies are effective and well-communicated throughout our organizations is vital in the volatile credit market. #banking #risk_management #communication #credit_risk

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  • Maronga Evans Snr

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