Matthias Hanauer

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Matthias Hanauer

Matthias Hanauer

@HanauerMatthias

Executive Director Quant Equity @Robeco | Bridging Academia and Industry 💡| Exploring Factors, ML, and International Data 🚀

Munich Katılım Haziran 2019
541 Takip Edilen3.9K Takipçiler
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Matthias Hanauer
Matthias Hanauer@HanauerMatthias·
📢 NEW PAPER OUT! 🚀 We analyze 1,056 #ML models to uncover how key design choices—algorithm, target, feature, & training—affect strategy returns. Key takeaways: 📈 Returns vary widely; see graph below! 🔍 NSE exceed SE by 59% 💡Check out which ML design choices really work 👇
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SSRN
SSRN@SSRN·
This paper shows #AI agents don’t agree: 150 autonomous coding agents given the same data produce large “nonstandard errors” from divergent analytical choices. Exemplars reduce dispersion by up to 99%, highlighting a new frontier in empirical uncertainty. spkl.io/6014A2CWg
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Radovan Vojtko - CEO of Quantpedia.com
The Illusion of the Carbon Premium Carbon that has not yet been emitted should not be used to predict stock returns. While this sounds obvious, prior research papers has done exactly that. This critical observation forms the basis for the Robeco Institutional Asset Management research team's re-examination of the relationship between climate risk and asset pricing. Investors and academics alike have sought to understand how environmental factors influence stock returns, often assuming that higher emitters command a risk premium. However, the timing of data availability is crucial in quantitative strategy formation, and misalignments here can lead to spurious conclusions about the pricing of carbon emissions. quantpedia.com/the-illusion-o… #esg #carbon #StockPicks
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Matthias Hanauer
Matthias Hanauer@HanauerMatthias·
@systvest @Greenbackd How do you define ROIC? If you ask five different analysts, portfolio managers, or investors how to calculate ROIC exactly, you’ll likely get six different definitions! 😉
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Systematic Microcaps ⚙️
@HanauerMatthias @Greenbackd I ask myself if it's a construction problem. Sure thing. In cap-weighted S&P1500, I believe blindly that ROIC is the winner in recent decades. But how much of that is just industry- and megacap-specific trends?
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Tobias Carlisle
Tobias Carlisle@Greenbackd·
ROIC, and ROA and ROE are the strongest predictors of stock performance. Each measures how efficiently a company converts capital into profits. Interest Coverage (EBIT / interest expense) captures financial strength and ability to service debt. Markets reward companies that: • generate high returns on capital • are financially resilient • require less capital to grow This is essentially the economic moat + capital efficiency signal. Gross margin is the weakest quality metric.
Rene Sellmann@ReneSellmann

This is my favorite chart from last year ⬇️ In a nutshell, clearly not all "Quality" is created equal. Since 1985, the "most alpha" has been found in two places: ✅ Capital Efficiency: ROIC, ROE & ROA ✅ Solvency: Interest & Debt Coverage Buying "High Gross Margin" sounds sexy, but the market rewards those who actually generate returns on their capital.

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Matthias Hanauer
Matthias Hanauer@HanauerMatthias·
@systvest @Greenbackd Gross margin is indeed rather weak. Gross profitability (gross margin * asset turnover) is stronger. In my research, I typically find the best results for profitability measured between top and bottom line and rather in cash than in accounting terms.
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Systematic Microcaps ⚙️
@Greenbackd Still ... I kinda feel this in conflict with research by others. Maybe I am missing the point but this feels off... Cc @HanauerMatthias x.com/i/status/16827…
Matthias Hanauer@HanauerMatthias

@CliffordAsness @HML_Compounder As top-line profitability definitions (e.g. GP/A) do much better than bottom-line profitability (ROE) it seems that investors focus too much on the noisy bottom-line while underestimate the persistence of the top-line.

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Rene Sellmann
Rene Sellmann@ReneSellmann·
This is my favorite chart from last year ⬇️ In a nutshell, clearly not all "Quality" is created equal. Since 1985, the "most alpha" has been found in two places: ✅ Capital Efficiency: ROIC, ROE & ROA ✅ Solvency: Interest & Debt Coverage Buying "High Gross Margin" sounds sexy, but the market rewards those who actually generate returns on their capital.
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Tracy Shuchart (𝒞𝒽𝒾 )
Goldman Team Says Asset-Heavy Stocks Outperform on AI Fears Investors are increasingly turning to stocks with what the strategists called the “HALO effect,” for heavy assets and low obsolescence, in sectors like utilities, basic resources and energy, the team including Guillaume Jaisson said in a client note. ASML Holding NV, Safran SA, LVMH, Air Liquide SA and Airbus SE are among stocks the team selected in a basket of European capital intensive names. L’Oreal SA, Adyen NV, DSV AS and Siemens Healthineers AG are a few of those in the capital light basket. “Markets are rewarding capacity, networks, infrastructure and engineering complexity—assets that are costly to replicate and less exposed to technological obsolescence,” Jaisson wrote. (Bloombereg)
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Matthias Hanauer
Matthias Hanauer@HanauerMatthias·
New paper: The Illusion of the Carbon Premium Carbon that has not yet been emitted should not be used to predict stock returns. While this sounds obvious, prominent prior research has done exactly that. What happens when using only emissions data available to investors at the time of portfolio formation? Read the full paper on @SSRN : papers.ssrn.com/sol3/papers.cf…
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Bloomberg
Bloomberg@business·
Goldman Sachs is pushing shares of capital-intensive companies such as utilities and miners as a haven from AI disruption bloomberg.com/news/newslette…
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Prashanth
Prashanth@Prashanth_Krish·
@HanauerMatthias very few Hedge Funds I assume have stayed the course the whole time. Way too painful and better to cut the losses and move on
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Matthias Hanauer
Matthias Hanauer@HanauerMatthias·
The Mag7 make up ~25% of MSCI World. Not the first time a handful of names dominate (remember Cisco, Nokia, Lucent?). They shape the benchmark, but they don’t have to shape your alpha. Our systematic, benchmark-aware process taps the long tail instead. robeco.com/en-int/insight…
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Compounding Quality
Compounding Quality@QCompounding·
Joel Greenblatt averaged 40% annual returns. Not once. Not twice. But for over 20 years! He shared his exact method in The Little Book That Still Beats the Market. Here are the 10 biggest lessons:
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Matthias Hanauer
Matthias Hanauer@HanauerMatthias·
What is your take on quant investing for the next five years?
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Matthias Hanauer
Matthias Hanauer@HanauerMatthias·
In contrast, benchmark-aware approaches that take many diversified bets based on a strong quantitative model, where value is just one of many elements, have benefited from value exposure while maintaining balanced overall risk. Taken together, these charts show that value is not dead. But they also remind us that quant investing is much more than value alone. It is about combining robust signals, continuous innovation, and adapting to new market situations.
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Matthias Hanauer
Matthias Hanauer@HanauerMatthias·
Value is not dead, but quant is more than value! To the day five years ago, the announcement of the successful Pfizer-BioNTech COVID-19 vaccine candidate results triggered a major market rotation. Since then, the average #value stock has outperformed the average growth stock. Below, I share four graphs showing how value has evolved since the “vaccine day.” 1️⃣ Long-term performance The enhanced value strategy in global equity markets, as defined in my paper with David Blitz (Resurrecting the Value Premium), has delivered solid long-term returns despite the challenging 2018–2020 period. The Pfizer-BioNTech news on 9 November 2020 marked the turning point. The shaded area presents out-of-sample data after posting the value paper on SSRN in October 2020 (papers.ssrn.com/sol3/papers.cf…).
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