White papers

    Viewing 1-10 of 33

    Know Your Customer (KYC) Innovation: The Rise of Jurisdictional Managed Services
    The regulatory backdrop against which banks, other FIs and regulated entities must conduct

    AML challenges for fintechs: Insights for the future
    Access our white paper to find out some of the key AML challenges facing fintechs today, and learn how companies can best manage AML compliance.

    How to build portfolios with macro-conditional market regimes
    Download report on building portfolios with macro-conditional market regimes. This research provides a detailed exploration of relationships between data series.

    StarMine Combination Model Performance in Down Markets
    This research paper explores the multiple benefits of factor diversification offered by StarMine combination models help investors to ride out volatile markets.

    A framework for thinking about inflation expectations and surprises
    We provide a framework for thinking about the inflation outlook with Refinitiv Datastream data and Fathom Consulting analysis

    Identifying Resilient Companies in a Financial Crisis
    This research describes a study on predicting the profitability of companies during a financial crisis and recovery.

    Exploring the political consequences of higher inflation through the lense of polling surprises
    We explore the wider consequences of inflation by analysing of the nature of the relationship between inflation and household sentiment

    Volatility and the Sharpe Ratio in the Equity Markets in the Covid-19 Era
    This paper investigates stock returns and the Sharpe Ratio for the period of 2020-2021 in the United States and other geographic regions around the world.

    How fintechs can address AML challenges
    Find out how Fintech companies are addressing Anti Money Laundering (AML) challenges and impact of post-Covid hyper-digitalisation on the financial service industry.

    Exploring the Impact of Covid-19 on Corporate Credit
    We use the Refinitiv StarMine Structural Credit Risk model to analyse how the pandemic impacted the credit of different geographic regions