Featured Product

    Using Loan Accounting System Data to Model New Origination

    October 2016

    Modeling new origination is important for forecasting the future dynamics of a portfolio, and it is becoming prevalent for banks to use these models for capital and risk management, stress testing, and strategic planning. The main challenge is finding data on new origination dynamics over time.

    In this webinar we propose using the Loan Accounting System data extracted from Moody’s Analytics Credit Research Database to construct and examine new origination dynamics of C&I loans to middle-market borrowers over time, and highlight the different patterns that emerge for different portfolio segments. Our analysis shows how important different types of segmentation are for understanding new origination dynamics.

    Webinar Highlights:

    Loan Accounting System data validation

    New origination of C&I loans

    Understanding new origination dynamics for different portfolio segments (segmented by loan type, tenor, industry, and credit quality)

    Related Articles
    Article

    Risk Integrated Credit Solution: Overview

    In this paper provides an overview of a new bottom-up Risk-Integrated Credit Solution (RICS)

    June 2021 WebPage Ruoyan Huang, Brett Manning, Tomer Yahalom
    Whitepaper

    Granular Portfolio Dynamics: The Importance of Joint Credit-Market Risk Modeling

    We show the importance of integrating granular credit and market risks for various portfolio analytics: risk decomposition, risk contribution, and VaR. Granular risk-integrated analysis shows how different the interaction between risks can be across assets and sub-portfolios, resulting in material impact to asset selection.

    February 2021 WebPage Ruoyan Huang, Brett Manning, Tomer Yahalom
    Whitepaper

    Cashflow Matching with Granular Credit Assets

    This paper uses cashflow matching to show the importance of granular credit modeling in the efficacy of liability-driven investment strategies. We find the optimal rating choice to minimize the strategy’s total cost, including cash reserve, and show that industry choice has a material impact on this cost.

    February 2021 WebPage Brett Manning, Ruoyan Huang, Tomer Yahalom
    Whitepaper

    What Do 20 Million C&I Loan Observations Say about New Origination Dynamics? — Insights from Moody's Analytics CRD Data

    We construct and examine new origination of C&I loans to middle-market borrowers using the Loan Accounting System data extracted from Moody's Analytics Credit Research Database (CRD/LAS). We find that C&I loan origination declines during the Great Recession and recovers soon after. The magnitude of the decline and the speed of the recovery varies across segments. For example, new lending to the financial industry decreases more than to the non-financial industry during the recession and recovers faster afterwards. Another example, new originations during the recession consists predominantly of short-term loans, while long-term lending becomes more dominant post crisis. This finding suggests that banks are using loan tenor as a means to mitigate risk during crises, at times even more so than credit quality.

    February 2017 Pdf Pierre Xu, Tomer Yahalom, May Jeng
    Webinar-on-Demand

    Modeling Structured Instruments in RiskFrontier™ Software

    Utilizing Moody’s Analytics tranche simulations and their accurate measures of tranche risk, we have developed methodologies to represent structured instruments in the RiskFrontier software.

    December 2016 WebPage Ian Ward, Tomer Yahalom
    Whitepaper

    Modeling Correlation of Structured Instruments in a Portfolio Setting

    Traditional approaches to modeling economic capital, credit-VaR, or structured instruments whose underlying collateral is comprised of structured instruments treat structured instruments as a single-name credit instrument i.e., a loan-equivalent). While tractable, the loan-equivalent approach requires appropriate parameterization to achieve a reasonable description of the cross correlation between the structured instrument and the rest of the portfolio. This article provides an overview of how one can calibrate loan-equivalent correlation parameters. Results from taking the approach to the data suggest that structured instruments have far higher correlation parameters than single-name instruments.

    November 2008 Pdf Tomer Yahalom, Amnon Levy, Andrew Kaplin
    RESULTS 1 - 6 OF 6