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News & Research
Most Recent News & Research
The case study will show how EMI approaches three different requirements by the end client related to tax-managed investing, using the portfolio construction and decision-making tool, Axioma Portfolio Optimizer.
Analytics | Qontigo Whitepapers
What Are the Odds? Getting a better read on portfolio risk-return metrics
Risk management solutions can deliver a myriad of quantitative reports at any level and users often get bogged down with very detailed statistics about all aspects of their strategy, bypassing the important insight provided by summary metrics on their portfolios.
Analytics | Index | Qontigo Whitepapers
Green Efficient Frontiers: Practical Considerations in Constructing Sustainability Portfolios
Our analysis shows how an optimized sustainability index can decrease active risk and free up more of the risk budget to be allocated to the desired sustainability metric(s), making the resulting portfolio a suitable replacement for a traditional benchmark.
Analytics | Index | Qontigo Whitepapers
Tracking Error 101: The Intuition Behind Measurement and Control
This article provides a high-level refresher of what tracking error means, and how we can embed it directly into portfolio construction.
Analytics | Index | Qontigo Whitepapers
Green efficient frontiers. Part 1: Minimizing the risk impact of exclusions
Our analysis shows how an optimized sustainability index can decrease active risk and free up more of the risk budget to be allocated to the desired sustainability metric(s), making the resulting portfolio a suitable replacement for a traditional benchmark.
Analytics | Qontigo Whitepapers
Understanding private asset risk through the lens of Axioma Equity Factor Risk Models
As part of a partnership between CEPRES and Qontigo, a new suite of factor risk models that provide broad coverage of the private asset fund space is now available in Axioma Risk, Qontigo’s enterprise risk management platform.
In this research paper, we showcase how a portfolio manager can replicate fixed income indices using the Axioma Portfolio Optimizer and the Axioma Credit Spread Factor Risk Model. We replicate a US high yield index with liquid bonds and a set of derivatives and test the solution from a risk perspective. The end goal is to create a set of portfolios that is more cost efficient, as (or more) liquid and as diversified as the index.
Analytics | Index | ESG & Sustainability
Want to incorporate SDG exposures into your portfolios? There’s no such thing as a (risk) free lunch, but here’s a way to do it…
This paper focuses on creating SDG portfolios that maximize exposure to one, two or all SDGs. The study shows that it is quite possible to create a portfolio that significantly improves the exposure to SDGs without taking on too much active risk. An optimizer can help manage that active risk.
Analytics | Portfolio Risk Management
Another tech bubble about to burst? (Yes, and this one could be even worse…)
Another tech bubble may be about to burst, triggering a US recession. There are multiple similarities between the current tech bubble and the dot-com bubble. This time, however, the Fed cannot leverage interest-rate cuts to put the brakes on a market decline, due to the current record-high inflation combined with low interest rates.
Analytics | Portfolio Risk Management
Hands-on reverse stress testing: A practical guide to reverse stress test a portfolio
How badly could a portfolio get hurt? What scenario would be responsible for such a loss? What are the main risk drivers in this scenario and how plausible would such a scenario be? These questions are all part of what is commonly called reverse stress testing. This paper aims to illustrate how one could follow a very pragmatic end-to-end workflow to answer these questions.
Historically Canadian equity managers have had difficulty accurately modeling their investment universe across the US and Canada. North America regional risk models used to construct portfolios just aren’t able to capture the nuances of both markets and are dominated by the US. That’s why we created the Axioma North America Linked Model.
In risk management a lot of focus and attention is (rightly) put on models and methodologies used to compute ex-ante risk measures. And in the context of a multi-asset class universe which is vast by nature, perfect data (market data, terms and conditions provided by the user) and bug-free algorithms are not always possible. Therefore, one of the key challenges for risk managers is to ensure that any risk analytic produced is sound and reliable.