Credit Risk
238 white papers and resources
Risk Library provides a number of credit risk white papers, industry reports and opinions, which can be used to aid the decision making process and to reduce your organisations credit risk exposure. Credit risk is the type of risk that a lender assumes. As a form of compensation for taking on the risk, a lender receives interest repayments at an agreed upon rate. However, if a borrower defaults on agreed repayments, lenders may lose the partial or full sum and interest of the loan. This could result in the lender incurring further costs such as collection of debt owed and disruption to cash flow.
Integrating ECL Onto A Stress Testing Platform: Scenarios
This white paper examines technological and methodological strategies to help to produce stress testing expected credit loss values that comply with IFRS 9 as well as CECL Standards for your financial institution.
Reading Between the Fines: A Deep Dive into Financial Institution Penalties in 2022
Fenergo’s latest research report on financial institution penalties in 2022 is available now. Key analysis shows that fine values in the Asia-Pacific region were just 0.77% of what they were in 2021. Read the report to find out about the biggest actions from the past year, key trends driving…
Impactful short duration: green bonds and yield curve strategies
Against the backdrop of rising rates and increasing interest in impact finance, this white paper compares the short, medium and long duration performance of EUR-denominated credit bonds and looks at how the performance of a green bond strategy (iBoxx Global Green Bonds Select (EUR Hedged) stacks up…
Complying with climate risk framework standards for streamlined processes
Conscious that climate change affects all sectors of the economy, financial institutions are realising the significant impact this will have on their customers and, ultimately, their own profit margins. In addition, there is a greater appreciation of how their own activities can influence the…
Credit risk, data and AI: managing spiralling demands and delivering value
Based on a comprehensive survey of, and conversations with, credit risk professionals globally, this report delves into their challenges they face in trying to source and use forward-looking data.
Podcast: Leveraging Real-time Data Feeds For Faster Business Decisions
The markets have been on a very volatile ride in 2022, which makes low-latency data more crucial to the business. This broadcast brought on a veteran data leader from the London Stock Exchange Group (LSEG), who shared what the key markets challenges are, and how firms can leverage LSEG’s vast…
Tapping into liquidity in the high-yield bond market: derivatives and lending markets
The iBoxx USD Liquid High Yield Index has served as the leading benchmark for the high-yield market since its debut in 2006. Designed to track the most liquid instruments in this market, the index supports a broad trading ecosystem via exchange-traded funds and derivatives. In part one of this two…
SCRA Best practice guide
The financial world has been familiar with the Basel III framework since its inception in 2010 and countless hours have already been spent tackling the 1,626-page tome and its various amendments over the years. There is no doubt that full implementation of Basel III will be a gargantuan effort for…
Risk applications and the cloud: boosting collaborations to strengthen risk management infrastructure
More of today's financial services organisations are choosing to move their financial risk management applications to the cloud. But, according to a recent survey by Risk.net and SS&C Algorithmics, many risk professionals believe there is room for improvement in key elements of these migration…
The post-trade patch-up: revamping processes in volatile times
This Risk.net Rapid Read survey report, commissioned by ION, examines the effectiveness and efficiency of post-trade processes and services at financial firms, and assesses where change is most needed, and the barriers to change. In an era of heightened volatility where risks are high and errors…