INDUSTRY: [showtax taxonomy=”business_industry” lowercase=”0″]
REGION: [showtax taxonomy=”regions” lowercase=”0″]
The success of an asset management firm rests – in large part – on the strength of its investment portfolios. In order to design and deliver robust portfolios that consistently produce healthy returns for individual and institutional investors, asset managers must:
One pure-play, global asset management firm that has implemented a world-class portfolio management process, employed leading portfolio management experts, and developed and deployed state-of-the-art portfolio management technological tools is Robeco. Founded in 1929, Robeco is headquartered in the Netherlands and has 17 offices worldwide and assets under management of EUR 176 billion (as of December 2020).
Although Robeco’s wide range of actively managed investment strategies and solutions have yielded strong and steady returns for clients over the years, the firm is always looking for ways to bolster the strength and boost the performance of its portfolios and improve the efficiency and effectiveness of its overall portfolio management process.
One area that was identified for potential improvement by Robeco was systematic fixed-income investment portfolios, which encompass around EUR 12.5 billion in assets, consist of around 30,000 different investment instruments including corporate and government bonds, and are managed by the company’s Insurance and Pension Solutions and Quant Fixed Income teams as well as a large group of quantitative and fundamental portfolio managers and researchers.
Although Robeco has – for more than a decade – been using mathematical optimization technologies to help construct its systematic fixed-income portfolios for private investors and financial institutions, the company wanted to enhance its portfolio management process by:
With these objectives in mind, Robeco began looking for a mathematical optimization solver that could enable the transformation of its systematic fixed-income portfolio management process.
In 2020, Robeco commenced a rigorous evaluation and selection process, with the goal of finding the best mathematical optimization solver to meet the needs of the teams that construct its systematic fixed-income portfolios.
Over the course of a few months, Robeco’s portfolio managers and other internal stakeholders conducted extensive testing of numerous commercial solvers on the market to see which could provide the necessary problem-solving speed, robustness, and flexibility as well as the right technical support and a scalable deployment architecture.
In the end, Robeco selected the Gurobi Optimizer to serve as the engine that would make its systematic fixed-income portfolio optimization process run.
Commenting on the reasons for choosing the Gurobi Optimizer, Mathieu van Roon – a Portfolio Manager at Robeco – said: “After a lengthy and thorough selection procedure that included testing several general commercial solvers and dedicated portfolio construction engines, we selected the Gurobi Optimizer based on performance (speed and robustness), flexibility (ability to solve various types of problem settings), scalability thanks to cloud-based solutions, technical support, and the competitive price level. In each of these categories, Gurobi excelled, which has led us to switch and to put Gurobi at the core of our investment processes.”
The Gurobi Optimizer was integrated into Robeco’s IT infrastructure and systems in early 2021, and the teams across the asset manager’s Quant Fixed Income and Insurance and Pension Solutions departments now rely on this mathematical optimization engine to generate optimal fixed-income portfolios for private investors and financial institutions.
“The switch from our previous solver technology to the Gurobi Optimizer was fast and seamless due to the performance and flexibility of the solver and the quality of the rest of Gurobi’s technical offering, including the Compute Server. We were impressed by the ease of use when incorporating the software in both our MATLAB and Python models, allowing for a smooth transition. Additionally, the Gurobi technical support team is always available to help with our technical questions, providing us with to-the-point and in-depth answers and correct solutions within hours. This world- class customer service really helped to further speed up the implementation,” van Roon said.
With the Gurobi Optimizer, Robeco has transformed its systematic fixed-income portfolio management process by enabling:
We make it easy for students, faculty, and researchers to work with mathematical optimization.
When you face complex optimization challenges, you can trust our Gurobi Alliance partners for expert services.
Our global team of helpful, PhD-level experts are here to support you—with responses in hours, not days.
GUROBI NEWSLETTER
Latest news and releases
Privacy Policy | © Gurobi Optimization, LLC. All Rights Reserved.
Cookie | Duration | Description |
---|---|---|
cookielawinfo-checkbox-advertisement | 1 year | Set by the GDPR Cookie Consent plugin, this cookie is used to record the user consent for the cookies in the "Advertisement" category . |
cookielawinfo-checkbox-analytics | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics". |
cookielawinfo-checkbox-functional | 11 months | The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional". |
cookielawinfo-checkbox-necessary | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary". |
cookielawinfo-checkbox-others | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other. |
cookielawinfo-checkbox-performance | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance". |
CookieLawInfoConsent | 1 year | Records the default button state of the corresponding category & the status of CCPA. It works only in coordination with the primary cookie. |
elementor | never | This cookie is used by the website's WordPress theme. It allows the website owner to implement or change the website's content in real-time. |
viewed_cookie_policy | 11 months | The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data. |
Cookie | Duration | Description |
---|---|---|
__cf_bm | 30 minutes | This cookie, set by Cloudflare, is used to support Cloudflare Bot Management. |
Cookie | Duration | Description |
---|---|---|
CONSENT | 2 years | YouTube sets this cookie via embedded youtube-videos and registers anonymous statistical data. |
Cookie | Duration | Description |
---|---|---|
VISITOR_INFO1_LIVE | 5 months 27 days | A cookie set by YouTube to measure bandwidth that determines whether the user gets the new or old player interface. |
YSC | session | YSC cookie is set by Youtube and is used to track the views of embedded videos on Youtube pages. |