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    Moody's Analytics Insights

    Moody's Analytics Insights

    Article
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    The Pros and Cons of Rent Regulation

    Our findings conclude that the recent rent regulations passed in three states will likely not have a material impact on supply growth – for either affordable housing or for market-rate apartments. This means that landlords and investors concerned with market-rate apartments are not likely to change investment or development behavior.

    Article
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    How Will Climate Change Impact Banks?

    We look at climate risk and consider how a heating planet might impact a bank's performance

    Presentation

    Leveraging Artificial Intelligence & Big Data to Maximize Your Early Warning Practices

    New approaches to augment your early warning practice, including: how leading institutions utilize data to monitor and benchmark their portfolio risk, the benefits of incorporating Credit Sentiment Scores into your risk management toolkit; when should you start to worry?

    Presentation

    Tech Disruption in CRE & The Evolution of Hyperlocal Analysis

    How is technology disrupting CRE, and how hyperlocal analysis is evolving to augment traditional analysis of risk and opportunities. The session will cover real-world case studies and how clients have been responding to disruptive trends and using hyperlocal data to address challenges.

    Presentation
    Graphs_Technology

    It's 2019, Do you Know Who Your Borrowers Are?

    Technology and modern finance have enabled individuals and companies to become connected in complex ways. Key insights about the reputational risk of banking a customer are now buried inside tangled relationships that cross legal, company, and geographical borders

    Presentation
    3D Connection

    The Next Recession

    The U.S. and global economies are struggling under the weight of the U.S.-China trade war and a range of other geopolitical threats. Can the global economy avoid an economic recession?

    Presentation
    Renewable Energy Sketch

    Climate Risk - the Science, the Economics, and the Time to Act

    Climate risk is increasingly a discussion topic amongst financial market participants and regulators. And yet, there are still many questions about its provenance and impacts, and applications to best practices in the financial sectors. We will address these questions and more in an interactive, informative format.

    Presentation
    City Skyline

    ‍The CRE Equivalent of Zestimate: Combining Machine Learning and Spatial Modeling to Mine Big Data ‍

    With an increasing demand for faster and more objective estimates of fair market rent and pricing for commercial properties, we explore bringing the automated valuation model (AVM) to CRE.

    Presentation
    Financial and business chart and graphs

    Transmission of Economic and Financial Shocks: Getting Prepared for the Next Downturn or Crisis

    We examine past histories of recessions and crises to identify hidden vulnerabilities and weak links in the economy and financial system. ‍

    Presentation
    Machine Learning and AI

    Machine Learning Interpretability Techniques in Credit Risk Modeling

    We explore constructing and applying Machine Learning Techniques that are both transparent and interpretable. Also discussed are leveraging a model-agnostic perspective and demystifying and socializing chosen ML risk models.

    Presentation
    Internet of Things

    Expanding Roles of Artificial Intelligence and Machine Learning in Lending and Credit Risk Management ‍

    With ever-expanding and improving AI and Machine Learning available, we explore how a lending officer can make good decisions faster and cheaper through AI. Will AI/ML refine existing processes? Or lead to completely new approaches? Or Both? What is the promise? And what is the risk?

    Presentation
    CECL-Time

    Mission Possible: Producing Defendable CECL Results With or Without Models

    Learn to differentiate C&I, CRE, retail, and securities. Choose approaches at the right level of flexibility and sophistication. Apply model-free solutions based on historical internal or industry data.