Quotation Demelza, Hays, Philipp, Sandner, Taudes, Alfred. 2020. Discovering Institutional Demand for Digital Assets. Liechtenstein:Cointelegraph Research.


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Abstract

Institutional investors hold the majority of the world’s wealth. Their interest in digital assets is a fundamental driver of trading volume, prices, and innovation. To understand the demand for institutional-grade and blockchain-inspired investment vehicles, Cointelegraph and the Crypto Research Report present a landmark study on over 55 registered professional investors including pension funds, insurance companies, banks, asset managers, and family offices. We discuss how much professional investors have already invested, how much they expect to invest over the next year, and what sectors of the industry are attracting the most investment. In juxtaposition to the demand, the report covers the supply of investment vehicles in the crypto asset space by documenting what products exist, what their assets under management are, returns and risks. This helps investors to learn about the products that are currently available and which ones are the most popular. This report can also help business development teams that are considering entering the cryptocurrency space by highlighting the gaps in product offerings. There are several products that are being demanded by institutional investors that are not currently on the market. The report also highlights how current products can improve in order to better suit institutional needs

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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Research report, expert opinion
Language English
Title Discovering Institutional Demand for Digital Assets
Location Liechtenstein
Academic institution Cointelegraph Research
Year 2020
URL https://s3.cointelegraph.com/storage/uploads/view/cointelegraph-research-discovering-institutional-demand-for-digital-assets-in-dach-region.pdf

Associations

People
Taudes, Alfred (Details)
External
Demelza, Hays (Cointelegraph, Liechtenstein)
Philipp, Sandner (Frankfurt School of Finance & Management, Germany)
Organization
Research Institute for Cryptoeconomics FI (Details)
Research areas (ÖSTAT Classification 'Statistik Austria')
1109 Information and data processing (Details)
1122 Artificial intelligence (Details)
5306 Business data processing (Details)
5333 Business management (Details)
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