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Elena A. Nov 1, 2022
Fintech News
Last active over 7 days
Last active over 7 days
Why is the adoption of Digital Assets by the Buy-Side portfolio and fund managers still very slow? What are the main blocks to mass adoption?

There is a host of reasons.

Compliance and regulatory hurdles - but these are being addressed.

Several global regulators, including the US, approved the inclusion of digital assets in institutional portfolios and retirement accounts. European Parliament provisionally agreed upon The Markets in Crypto Assets regulation, which will protect investors and preserve financial stability while allowing for innovation in the crypto asset sector. It will focus on: Utility tokens, Asset-referenced tokens, and e-money tokens.

Risk assessment, Price Volatility and Real-Time Valuation are among other issues.

Even If your strategy allows adding multiple assets, other factors still need to be considered from a front, middle and back office perspective. There still needs to be more off-the-shelf infrastructure to support trading and record-keeping.

In that sense, partnerships with the newest digital trading platforms, custodians, and asset servicers are critical.

Yes, it will be painful and uncomfortable, but you will be a front-runner with other market players on the buy-side who are essentially there creating a new asset class.

One example is Societe Generale - FORGE, that services asset managers in managing digital-native financial products registered on the DLT.

There are still more Qs, especially on how do you integrate DLT-based order management and trade execution with existing PMS.

Asset servicing must be able to "interconnect and interoperate" with digital trading platforms for holistic fund administration, accounting, custody, and other services.

The below progress by QPQ and Greg Chew is crucial for institutional investors' adoption of digital assets. QPQ's development, brings closer the new market reality when Fund Managers will be able to have exposure to digital assets using DLT and seamlessly include them into their portfolios.
  3 comments
Master C. Nov 4, 2022 -10:48AM Great to read this news Greg Chew
Greg C. Nov 2, 2022 -12:56PM Thanks, Elena Kozhemyakina, much appreciate the support.
Angel L. Nov 1, 2022 - 8:04PM Glad to read this news on QPQ Greg Chew
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Angel L. Oct 31, 2022
Career Opportunity
Last active in the past 7 days
Last active in the past 7 days
We are looking for people that are connectors and community builders to join us as Community Partners to help connect the fintech world for impact.

If you are already doing this for your city or country and want to bring your skills to a global organization that is actively connecting experts and entrepreneurs to innovate financial services, then reach out to me and let's chat.

Check out the attached PDF for more information on how to become a Community Partner for your city.

#FinTechConnector #FintechCareers #Community #Partnerships

Pdf icon blue FTC_-_CP_Deck_Oct2022.pdf

  3 comments
Angel L. Nov 8, 2022 - 7:51PM Let me know if interested in learning more Alan Manuel . Looking for a Community Partner in Australia.
Angel L. Nov 2, 2022 - 2:06PM Alan Manuel I'll send you a message with the pdf.
Alan M. Nov 2, 2022 - 2:03PM Hi somehow cannot see the pdf that you refer. Unsure if because accessing via Android mobile
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Elena A. Oct 30, 2022
Knowledge Share
Last active over 7 days
Last active over 7 days
What is the current state of #AI adoption within Financial Services and on the #buyside?🔽




💥#RPA, #ML techniques and #NLP test understanding are the top 3 use- cases of the AI adoption within the financial services industry, according to Stanford University.

💥According to Massachusetts Institute of Technology 56% of Financial Services organizations have used AI for Fraud Detection and a further 41% for finance processes and analyses.

How can AI help your Fund in active portfolio management?🔽

One of the use cases is the fusion between AI and Big Data, allowing it to run a search on the internet. The result is a highly intricate model that can predict future market movements better.

Clustering models allow you to categorize records into a certain number of clusters. This can help you identify natural groups in your data. Clustering models focus on identifying groups of similar records and labelling the records according to the group to which they belong.

These models take your data (for example, a list of stocks) and create a scatter plot based on absolute values of the portfolio's relative risk, which can then be arranged hierarchically.

And this is just one example of how fintech innovations can help you improve your Fund's performance.

Take digital transformation in your Fund to another level. Get in touch with us today. We will help you look for trading software to improve your Fund's processes. Put this into your development plan for 2023 now.

Infographic below provided by Raconteur

#digitaltransformation #changemanagement #vendormanagement #portfoliomanagement #assetallocation
#fundmanagement

Pdf icon blue How_FinServ_uses_AI.pdf

 
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