- Advertisement -
- Advertisement -

Related

Sophisticated Writers Make Better HF Managers

Latest Report

This year’s Alternative Fixed Income report from HedgeNordic explores how institutional investors and asset managers are navigating this new reality, balancing yield and resilience amid shifting credit cycles, structural change, and evolving sources of return.

Stockholm (HedgeNordic) – Paying close attention to individual words and syntax in a hedge fund’s strategy description can offer useful insights for the hedge fund selection process, according to a new paper. The study shows that hedge funds with lexically diverse strategy descriptions deliver superior risk-adjusted returns, manage risk more carefully, and encounter fewer regulatory problems.

The paper by Juha Joenväärä, Jari Karppinen, Melvyn Teo, and Cristian Tiu finds that two measures of text sophistication from the linguistics literature, namely lexical diversity and syntactic complexity, “encapsulates useful information for hedge fund selection and for understanding the factors underlying alpha generation.” Lexical diversity – the inclination of writers to use multiple synonyms rather than repeated words – has been associated with cognitive ability and honesty. On the other hand, syntactic complexity – the inclination to favour complicated sentences characterized by heavy use of subordination – has been linked to deceptive behaviour.

“It’s somewhat surprising because strategy descriptions aren’t something you expect to be that informative,” Cristian Tiu told Institutional Investor in a phone interview. “They’re written once in the beginning of a fund’s life and the hedge fund could hire a marketing firm to write a description for them.”

According to the study, hedge funds with high lexical diversity outperform funds with low lexical diversity by 3.6 percent per year. Extensive vocabularies were associated with higher returns even after adjusting for other possible sources of outperformance related to writing ability such as a manager’s education. Furthermore, hedge funds with lexically diverse strategy descriptions exhibit “several additional attributes that are attractive to fund investors.”

First, these hedge funds deliver superior Sharpe ratios, information ratios and manipulation-proof performance measures. Second, lexically diverse funds manage risk more “judiciously,” as they “eschew idiosyncratic risk and tail risk.” As a result, they feature lower residual volatilities, maximum monthly losses, and maximum drawdowns. Third, these funds face fewer regulatory actions, encounter fewer civil or criminal problems, and trigger fewer investment violations. Lexical diversity predicts fund quality, according to the paper, with these findings supporting “the view that lexical diversity is associated with cognitive ability and trustworthiness in the hedge fund arena.”

The four authors also find that syntactic complexity is associated with deception at hedge funds. “Funds whose strategy descriptions are syntactically complex experience more regulatory actions, violate more investment rules, and report more severe infractions, than do funds whose strategy descriptions are syntactically simple,” writes the paper. Interestingly, syntactic complexity is positively related to returns and alpha when not controlling for lexical diversity, but “those relations are statistically insignificant and turn negative after controlling for lexical diversity.”

The authors also find that investors allocate more capital to funds with lexically diverse strategy descriptions compared to hedge funds with complex syntax. In conclusion, the results of this study “indicate that the richness of the vocabulary employed by delegated portfolio managers provides an honest cue to investor sophistication. However, the complexity of the sentence structures used is less reliable as a signal of fund quality.”

 

The complete study can be downloaded below:

Photo by Aaron Burden on Unsplash

Subscribe to HedgeBrev, HedgeNordic’s weekly newsletter, and never miss the latest news!

Our newsletter is sent once a week, every Friday.

Eugeniu Guzun
Eugeniu Guzun
Eugeniu Guzun serves as a data analyst responsible for maintaining and gatekeeping the Nordic Hedge Index, and as a journalist covering the Nordic hedge fund industry for HedgeNordic. Eugeniu completed his Master’s degree at the Stockholm School of Economics in 2018. Write to Eugeniu Guzun at eugene@hedgenordic.com

Latest Articles

AllianzGI’s Impact Private Credit Strategy: Financing Change Without Compromise

Private credit has matured into an established asset class and is now evolving beyond traditional financing, offering opportunities to contribute to positive change. As...

ESG Remains Part of the “Credit Story” in Private Credit

ESG integration remains a standard component of private credit investing, particularly in Europe and among Nordic institutional allocators, but its momentum has slowed. Conversations...

From PDF to Platform: Why Governance Needs a System, Not a Folder

By Sofia Beckman – Co-founder, North House: “We manage billions with real-time systems,” one COO told me. “But our governance still lives in PDFs.”...

CABA Flex: End of Lifespan, Promises Fulfilled

About three years ago, Copenhagen-based fixed-income boutique CABA Capital was preparing to launch what would later become the first fund in its Flex series:...

Nordic Hedge Funds Maintain Momentum Towards Year-End

Nordic hedge funds are heading toward year-end with strong momentum, advancing 0.8 percent in October to extend their winning streak that began in May....

Gradually, Then Suddenly: Proxy P Extends Rebound

As Ernest Hemingway once observed, change happens “gradually, then suddenly.” For the team at renewables-focused asset manager Proxy P, a period of weak performance...

Allocator Interviews

In-Depth: High Yield

- Advertisement -

Voices

Request for Proposal

- Advertisement -
HedgeNordic
Privacy Overview

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.