A New Approach to Measuring Fixed Income Risk

Fixed income investing and risk measurement has been recently receiving a lot of attention. With the increased spotlight, there is also more scrutiny and pressure on underlying risk models to live up to more advanced demands. However, traditional fixed income models are not well placed to satisfy these expectations. Below is a collection of resources that offer more insights and recommendations on this topic.


Top 9 Challenges of Credit Curve Construction (you’ll like number 7)


Axioma has developed a new algorithm to produce thousands of robust issuer-specific and rating/sector credit curves. In this blog post, we discuss the challenges associated with credit curve construction, and how we solved them, presented with illustrative interactive charts.

Learn more about credit curve construction >

 


The Truth About Fixed Income Factors  


Fixed income factor investing is getting a lot of attention, with publications on the subject appearing regularly. With the increased spotlight there is also more scrutiny and pressure on underlying risk models to live up to more advanced demands. However, traditional fixed income models are not well placed to satisfy these expectations. So what to do?

Learn more about fixed income factors >

 


Fixed Income Factors: Why do we build credit curves?


Constructing fixed income factor models has long been an elusive endeavor owing to a number of challenges, not least of which includes cleansing and organizing the underlying fixed income data, or lack thereof. In this blog post, we take a look at how we build credit curves to serve as a foundation for fixed income models and the advantages they have over some other methodologies.

Learn how to build a more responsive model >

 


 

Axioma's cloud-native technology used to calculate our enhanced fixed income risk model is powered by Microsoft Azure.

 

Axioma's Next Generation Fixed Income and Multi-Asset Models

Read the full release >