{"id":289324,"date":"2026-02-24T10:33:16","date_gmt":"2026-02-24T10:33:16","guid":{"rendered":"https:\/\/www.quoniam.com\/?page_id=289324"},"modified":"2026-05-06T09:43:47","modified_gmt":"2026-05-06T09:43:47","slug":"artificial-intelligence-at-quoniam","status":"publish","type":"page","link":"https:\/\/www.quoniam.com\/en\/artificial-intelligence-at-quoniam\/","title":{"rendered":"Artificial Intelligence at Quoniam"},"content":{"rendered":"\n<div class=\"wp-block-group is-style-smallBG\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\">Markets are increasingly shaped by complex data and powerful AI tools. Yet many investors ask: can you trust these tools, or are they just a black box?<\/p>\n\n\n\n<h5 class=\"wp-block-heading\">What does this mean for investors?<\/h5>\n\n\n\n<p class=\"wp-block-paragraph\">Artificial intelligence can enhance investment decisions if it is used with discipline. Many investors are concerned that AI replaces human judgment or amplifies model risk. At Quoniam, AI never replaces responsibility. It strengthens systematic models, expands the information we can analyse, and operates within clearly defined governance and risk frameworks.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Our use of AI builds on decades of quantitative research and practical experience in portfolio management. We deploy technology only where it improves robustness and consistency \u2013 and only where it meets our standards for transparency and investability.<\/p>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<h3 class=\"wp-block-heading has-text-align-center\">How we apply AI in systematic investing<\/h3>\n\n\n\n\n\n    <ul class=\"bullet-point-lists bullet_point_lists--appereance-type-boxes qm-element bullet_point_lists--single\" style=\"--color:;\">\n                <li>\n           <div class=\"bullet_point_list_title\" > <\/div>\n            <ul class=\"bullet_point_list bullet_point_list--icon-type-Check\">\n                                    <li class=\"bullet-point\">\n                        <div class=\"bullet-point__icon\">\n                            <img decoding=\"async\" src=\"https:\/\/www.quoniam.com\/wp-content\/themes\/wp_quoniam\/Resources\/Public\/Images\/check.svg\" loading=\"lazy\" alt=\"Bullet Point Icon\"\/>\n                        <\/div>\n                        <div class=\"bullet-point__text\">\n                            <b>AI for forecasting<\/br><\/b>Signals that influence future share prices are spread across many sources and data sets. Machine learning enables us to quickly analyse large amounts of data and enhances our single stock forecasts by capturing information that linear models may not capture.\n                        <\/div>\n                    <\/li>\n                                    <li class=\"bullet-point\">\n                        <div class=\"bullet-point__icon\">\n                            <img decoding=\"async\" src=\"https:\/\/www.quoniam.com\/wp-content\/themes\/wp_quoniam\/Resources\/Public\/Images\/check.svg\" loading=\"lazy\" alt=\"Bullet Point Icon\"\/>\n                        <\/div>\n                        <div class=\"bullet-point__text\">\n                            <b>AI for signal generation<\/br><\/b>In our <a href=\"https:\/\/www.quoniam.com\/en\/strategies\/multi-asset\/global-data-sentiment-strategy\/\">Global Data Sentiment strategy<\/a>, LLMs transform text into quantitative signals that expand the data universe \u2013 while portfolio construction remains fully systematic and risk-managed.\n                        <\/div>\n                    <\/li>\n                                    <li class=\"bullet-point\">\n                        <div class=\"bullet-point__icon\">\n                            <img decoding=\"async\" src=\"https:\/\/www.quoniam.com\/wp-content\/themes\/wp_quoniam\/Resources\/Public\/Images\/check.svg\" loading=\"lazy\" alt=\"Bullet Point Icon\"\/>\n                        <\/div>\n                        <div class=\"bullet-point__text\">\n                            <b>AI for research efficiency<\/br><\/b>AI-based tools support coding, testing, and literature search, accelerating the research process. \n                        <\/div>\n                    <\/li>\n                            <\/ul>\n        <\/li>\n        <\/ul>\n<!-- \/News Slider --><\/div><\/div>\n\n\n\n<div class=\"wp-block-group alignfull has-color-grey-light-background-color has-background\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n\n    <div class=\"zitat-klein qm-element\" style=\"--color:;\">\n            <div class=\"zitat-klein__image\">\n                                                            <img decoding=\"async\" src=\"https:\/\/www.quoniam.com\/wp-content\/uploads\/2021\/12\/D-W_zitat_Floegel.jpg\" alt=\"\" loading=\"lazy\"\/>\n                            <\/div>\n            <div class=\"zitat-klein__content\">\n                                    <div class=\"zitat-klein__zitat\">\n                    \n                                                    Artificial intelligence does not replace human expertise in asset management, it strengthens systematic models, expands the data we can analyse, and makes research more efficient.\n                                            <\/div>\n                                                     <div class=\"zitat-klein__person-info\">\n                        <span class=\"zitat-klein__name\"><strong>Dr Volker Fl\u00f6gel<\/strong>, <\/span>\n                        <span class=\"zitat-klein__position\">CFA, Chief Investment Officer<\/span>\n                    <\/div>\n                        <\/div>\n    <\/div>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<div class=\"wp-block-group is-style-smallBG\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<h5 class=\"wp-block-heading\"><strong>Disciplined, systematic, accountable<\/strong><\/h5>\n\n\n\n<p class=\"wp-block-paragraph\">Quoniam\u2019s approach to AI reflects our broader investment philosophy: science-based, systematic, and accountable. For investors seeking to benefit from innovation without sacrificing control, governance, or trust.<\/p>\n<\/div><\/div>\n\n\n\n\n<div class=\"grid-container InfoBlock qm-element\">\n    <div class=\"grid-x grid-margin-y grid-padding-x\">\n        <div class=\"cell small-12  medium-12 large-4 \">\n                                            <img decoding=\"async\" src=\"https:\/\/www.quoniam.com\/wp-content\/uploads\/2025\/05\/2025-05_Deconstructing-news_MSMA-scaled-448x276-c-default.jpg\" alt=\"\" loading=\"lazy\"\/>\n                    <\/div>\n        <div class=\"cell small-12 medium-12 large-8 text text-left\">\n            <div class=\"InfoBlockContent\">\n                                    <p><strong>Extracting insights from unstructured data<br \/>\n<\/strong>AI excels where traditional models struggle: turning language into signals. Large language models allow us to analyse tone, context, and narratives \u2013 for example in central bank communication \u2013 capturing information beyond simple keywords and systematically integrating it into investment models.<\/p>\n\n                                                    <div class=\"linkWrapper\">\n                                                    <a class=\"\" href=\"https:\/\/www.quoniam.com\/en\/interview\/deconstructing-news\/\" target=\"\" title=\"Learn more\">\n                                Learn more\n                            <\/a>\n                                            <\/div>\n                            <\/div>\n        <\/div>\n    <\/div>\n<\/div>\n\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group alignfull has-color-grey-light-background-color has-background\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<h6 class=\"wp-block-heading has-text-align-center\">Insights<\/h6>\n\n\n\n\n\n        <div class=\"newsSliderWrapper qm-element\" style=\"--color:;\">\n            <div class=\"newsSlider\">\n                                    \n                    <div class=\"slide\">\n                    \n                        <div class=\"newsTeaserWrapper cell\">\n                                                            <a href=\"https:\/\/www.quoniam.com\/en\/interview\/machine-learning-stock-portfolios\/\" title=\"Machine learning in stock selection: Beyond linear thinking\">\n                                    <div class=\"newsTeaser\">\n                                        <div class=\"image\">\n                                            <img decoding=\"async\" src=\"https:\/\/www.quoniam.com\/wp-content\/uploads\/2026\/03\/D-W_interview_Rother-448x220-c-default.jpg\" loading=\"lazy\"\/>\n                                        <\/div>\n                                        <div class=\"info\">\n                                            <div class=\"preHeader\">\n                                                <div class=\"cat\">\n                                                    Interview\n                                                <\/div>\n                                                <div class=\"date\">\n                                                    February 2026\n                                                <\/div>\n                                            <\/div>\n                                            <div class=\"headline\">Machine learning in stock selection: Beyond linear thinking<\/div>\n                                            <div class=\"introText\">\n                                                                                                    <p>Stock markets are complex, and correlations are not always linear. Nevertheless, traditional models often rely on linear assumptions. So how can this gap be closed? In this interview, Carsten Rother, Co-Head of Research Forecasts, explains how Quoniam has been using machine learning to enhance traditional models.<\/p>\n\n                                                                                            <\/div>\n                                        <\/div>\n                                    <\/div>\n                                <\/a>\n                                                    <\/div>\n                    <\/div>\n                                    \n                    <div class=\"slide\">\n                    \n                        <div class=\"newsTeaserWrapper cell\">\n                                                            <a href=\"https:\/\/www.quoniam.com\/en\/interview\/machine-learning\/\" title=\"Machine learning: a powerful tool for asset managers\">\n                                    <div class=\"newsTeaser\">\n                                        <div class=\"image\">\n                                            <img decoding=\"async\" src=\"https:\/\/www.quoniam.com\/wp-content\/uploads\/2024\/04\/D-W_interview_Stroh-448x220-c-default.jpg\" loading=\"lazy\"\/>\n                                        <\/div>\n                                        <div class=\"info\">\n                                            <div class=\"preHeader\">\n                                                <div class=\"cat\">\n                                                    Interview\n                                                <\/div>\n                                                <div class=\"date\">\n                                                    April 2024\n                                                <\/div>\n                                            <\/div>\n                                            <div class=\"headline\">Machine learning: a powerful tool for asset managers<\/div>\n                                            <div class=\"introText\">\n                                                                                                    <p>Artificial intelligence is seen as a major investment opportunity in 2023, but it&#8217;s also a technology that investors can use in their investment process. Machine learning is one form of AI that we&#8217;ve been using at Quoniam for a long time. Here we speak to Dr Maximilian Stroh, CFA, Head of Research at Quoniam, about what machine learning is, its benefits and how we use it at Quoniam.<\/p>\n\n                                                                                            <\/div>\n                                        <\/div>\n                                    <\/div>\n                                <\/a>\n                                                    <\/div>\n                    <\/div>\n                                    \n                    <div class=\"slide\">\n                    \n                        <div class=\"newsTeaserWrapper cell\">\n                                                            <a href=\"https:\/\/www.quoniam.com\/en\/interview\/deconstructing-news\/\" title=\"Deconstructing the news: how AI unlocks deeper insights into central bank communications for investors\">\n                                    <div class=\"newsTeaser\">\n                                        <div class=\"image\">\n                                            <img decoding=\"async\" src=\"https:\/\/www.quoniam.com\/wp-content\/uploads\/2025\/05\/2025-05_Deconstructing-news_MSMA-scaled-448x220-c-default.jpg\" loading=\"lazy\"\/>\n                                        <\/div>\n                                        <div class=\"info\">\n                                            <div class=\"preHeader\">\n                                                <div class=\"cat\">\n                                                    Interview\n                                                <\/div>\n                                                <div class=\"date\">\n                                                    July 2025\n                                                <\/div>\n                                            <\/div>\n                                            <div class=\"headline\">Deconstructing the news: how AI unlocks deeper insights into central bank communications for investors<\/div>\n                                            <div class=\"introText\">\n                                                                                                    <p>In their latest paper, \u201cBreaking (up) news: How current and forward-looking information impact US Treasury yield dynamics\u201d, Dr Maximilian Stroh, CFA, Head of Research, and Dr Matthias Apel, Portfolio Management Multi-Asset, find that there&#8217;s tangible predictive value in systematically analysing the forward-looking component of central bank news. In this interview, they explain their research and provide a behind-the-scenes look at how they use LLMs to deliver robust results.<\/p>\n\n                                                                                            <\/div>\n                                        <\/div>\n                                    <\/div>\n                                <\/a>\n                                                    <\/div>\n                    <\/div>\n                            <\/div>\n        <\/div>\n<!-- \/News Slider --><\/div><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Markets are increasingly shaped by complex data and powerful AI tools. Yet many investors ask: can you trust these tools, or are they just a black box? What does this mean for investors? Artificial intelligence can enhance investment decisions if it is used with discipline. Many investors are concerned that AI replaces human judgment or [&hellip;]<\/p>\n","protected":false},"author":11,"featured_media":288976,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"_seopress_robots_primary_cat":"","_seopress_titles_title":"Artificial Intelligence at Quoniam ","_seopress_titles_desc":"Markets are increasingly shaped by complex data and powerful AI tools. 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