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Great conversation on manager selection and due diligence in the age of technology and big data at
@BerylElites conferencepic.twitter.com/IsPVVs1cnh
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The number of AI hedge funds launched in 2018 was up 77% on 2016. As of Q3 2019, Preqin tracked 305 such funds, with aggregate AUM of $17bn. Over 3 year horizon AI funds had better risk-adjusted parameters than the Preqin All-Strategies HF benchmark https://bit.ly/34Rv7nr
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“AI is going to raise the bar across everything. Those that are not paying attention to it now will fall behind”. The largest hedge funds are developing ML tools, including Bridgewater and Man Group. JPMorgan Asset Management plans to invest in ML funds.https://bit.ly/2NNP5Zm
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Managers say the rise of quantitative and passive investing has distorted how stocks move and reduced the chances to profit. Quants can spot and eliminate certain mispricings of securities that once offered opportunities to stock pickers. https://on.wsj.com/2JsQtPq pic.twitter.com/sBfWq9qTRY
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"From 1988 to 2018, Medallion returned 66.1% annually before fees. Net of fees, 39.1%. Estimated profits during those 30 years amounted to $104.5 bln. If the standard hedge fund fee of 2 and 20 sounds expensive, what do you think of Medallion's 5 and 44?"https://bloom.bg/2pkHlFT
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AllianceBernstein has introduced a robot to execute corporate-bond trades directly with bots at dealer counterparties. Citi and Morgan Stanley both expect their algos to be able to trade bonds directly without human command.https://bit.ly/2LYIUSk
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Asset managers’ ability to use big data technology may become critical for their survival amid growing outflows to passive funds. https://bloom.bg/2IvtN0t Superior data acquisition capabilities and data science skills could be key performance drivers.pic.twitter.com/yo7A7pp7gL
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Olga Kokareva proslijedio/la je Tweet
#BerylElites We are excited to announce that our Beryl Elites Speaker@Olga_Kokareva, Managing Director at Synthesis, will speak at our 3rd Annual Beryl Elites Alternative Investment Conference in New York City this November 11-12!#AlternativeData#ArtificialIntelligencepic.twitter.com/gWszWScIjC
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Greenwich Associates' survey: AI is far and away considered the technology that will disrupt Wall Street the most in the coming years. https://bit.ly/2oaG4QK pic.twitter.com/nbxGSWxBSu
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Venture capitalists and executives from hundreds of private companies are gathering in Silicon Valley to discuss alternatives to an IPO model. Investment bankers are largely uninvited.https://bloom.bg/2mAZMVn
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The mere fact we still call this data alternative means this is just the beginning. Collecting data in real-time from underlying sources and applying machine learning techniques to process it will become an integral part of the quest for alpha. https://bit.ly/2kzu61C pic.twitter.com/mcpmB4By9y
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Point 72 talks to about 1,200 'alternative data' vendors a year, but only purchases data from about 30 or 40 of them.https://bloom.bg/2mdSeay
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The Treasury recommended that FINRA start releasing weekly aggregate treasuries trading volume statistics broken down by market segments. The statistics are expected to become available to the public early next year.https://bloom.bg/2mvcSmC
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I look forward to speaking at
#altdata panel at AI & Emerging Tech for Finance Conference. https://bit.ly/2kvk0Pq Please comment below: In your opinion, what aspects of big data application in investment management should be prioritized in discussions at industry events?pic.twitter.com/qWZQl65qicHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
One of the most influential investor conferences
#DeliveringAlpha included Alpha Data panel in their agenda this year. Data-driven investment research is now a topic of interest for the biggest asset managers and institutional investors.pic.twitter.com/eWcRoqVclG
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As traditional touchstones of fund strategies are being challenged by unprecedented economic-policy uncertainty, investors are stepping up the use ML to capture market sentiment. Data-driven investing may be just the thing for the Trump era.https://bloom.bg/2mcfSUR
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UBS has created a machine-learning algorithm that shows its salespeople the most likely counterparty to buy/sell a bond. HSBC is developing a bot that will send asset managers suggestions for bond transactions tailored to their trading patterns.https://bloom.bg/2kpDiFP
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Existing taxonomies of alt-datasets don’t embed value proposition, ignore the organizational context or assume investment alpha use case. Six-dimensional characterization schema helps clarify what kinds of questions can be answered by an alt-dataset. https://bit.ly/2ZrNUqd pic.twitter.com/ewOZ8qLwZR
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Quandl now sees more opportunity creating proprietary data sets as opposed to just selling others' feeds. The change in philosophy comes at a time when larger data companies have gotten into the lucrative business of selling alternative data.https://bit.ly/2ZyX6cc
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Quantitative funds didn’t take over the world because, in part, they competed head-on. The new breed of data scientists will bleed into the industry, under the guise of enablement, as is therefore likely to make a much more marked impact.https://bit.ly/2TYyFjd
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