- Advertisement -
- Advertisement -

Related

New Products Set to Exploit Inefficiencies in Cryptos

Industry Report

- Advertisement -

Stockholm (HedgeNordic) – Financial consultancy deVere Group partnered Dubai-based hedge fund Dalma Capital to launch a collection of products that will invest in digital assets using algorithmic trading and exploit arbitrage opportunities. The duo launched deVere Digital Asset Funds, a set of digital currency solutions for experienced investors.

According to Nigel Green, the founder and CEO of deVere Group, “the deVere Digital Asset solution will invest in a diversified portfolio of digital assets via algorithmic trading over different platforms – including crypto-currency exchanges and OTC markets – as well as arbitrage opportunities.”

“Through a ground-breaking algorithmic system, when the price of one asset, for instance Bitcoin or Ethereum, is greater on one platform than on another, the opportunity is identified to generate profit from the difference of price across platforms. These trades, referred to as arbitrage, allow profits to be generated with little or no directional market risk,” adds Green.

There are numerous arbitrage opportunities in what is still a relatively young market for cryptocurrencies. Zachary Cefaratti, the CEO of Dalma Capital, states that cryptocurrency markets “abound with durable inefficiencies – creating opportunities for hedge funds to generate uncorrelated excess returns through systematic relative value arbitrage, momentum trading and mean-reversion strategies.” These markets “have created opportunities that we have not seen in conventional markets for decades,” adds Cefaratti. “Arbitrage opportunities abound – the prices of the top 25 crypto assets vary across over 400 liquidity venues. The ability to trade long and short allows profit opportunities regardless of market direction.”

 

Picture © Carlos Amarillo—shutterstock

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

Machine Learning Helps Lynx Constellation in Tough Trend Markets

Lynx Asset Management is best known for its flagship trend-following strategy, the Lynx Program, which celebrated its 25th anniversary this year. In late 2019,...

Rising Adoption of Quantitative Investment Strategies Among Nordic Investors

From a high-level perspective, there is a clear trend of increasing adoption of quantitative investment strategies (QIS) among Nordic institutional investors, either through the...

EU Plans Stress Test for Hedge Funds and Non-Bank Firms

European regulators are planning a stress test to identify vulnerabilities beyond the traditional banking sector, focusing on less regulated entities such as hedge funds,...

ALCUR Fonder Continues Hiring Spree

Following two earlier additions this year, ALCUR Fonder continues to expand its portfolio management team at a notable pace. The Stockholm-based hedge fund boutique...

Nordic Private Markets Modernize with Data-Centric Trade Lifecycle Automation

By Anders Stengaard Jensen at Indus Valley Partner: In recent years, asset managers in Nordic countries have accelerated efforts to modernize trade operations, particularly...

Norwegian Hedge Fund Industry Sees Major Boost with New Launch

The Swedish and Danish hedge fund industries remain closely matched in size, with Denmark recently edging ahead of Sweden. While still less than half...

Allocator Interviews

In-Depth: High Yield

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.