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摘要: "The Commission should not stand in the way of such ETPs coming to market" given Cboe's arguments for addressing the SEC's concerns, the derivatives exchange said Friday in a letter to the SEC, published online Monday. The letter from Cboe President and COO Chris Concannon was addressed to the director of the SEC's division of investment management, Dalia Blass, in response to her letter in January that pushed back on applications for bitcoin-related ETFs. Separately, the commission said Friday it would begin the process of determining whether it will allow NYSE Arca to list two ProShares funds tracking bitcoin futures.

摘要: Goldman Sachs' bull/bear indicator is sitting above 70 percent.That level is "normally associated with high risks for equity investors," Goldman strategists say. However, the strategists are telling investors not to worry. They note that the indicator's high level is mainly due to the low unemployment rate and strong economic growth momentum rather than rising rates or strong core inflation. "It is because of the lack of inflation that some of these variables can appear stretched without ringing alarm bells for equity investors," the Goldman note said.

摘要: Regression techniques are one of the most popular statistical techniques used for predictive modeling and data mining tasks. On average, analytics professionals know only 2-3 types of regression which are commonly used in real world. They are linear and logistic regression. But the fact is there are more than 10 types of regression algorithms designed for various types of analysis. Each type has its own significance. Every analyst must know which form of regression to use depending on type of data and distribution.

摘要: A recent survey of over 16,000 data professionals showed that the most common challenges to data science included dirty data (36%), lack of data science talent (30%) and lack of management support (27%). Also, data professionals reported experiencing around three challenges in the previous year. A principal component analysis of the 20 challenges studied showed that challenges can be grouped into five categories.

摘要: After decades stuck in research labs, artificial intelligence (AI) is ready for prime-time, transforming if not disrupting all the sectors of the economy that generate lots of data (big data), from tech to finance, communications, energy, healthcare, mobility or manufacturing.

摘要: The following blog article is based on the opening statements delivered by Chiara Perillo at the panel discussion on “New Conditions for Monetary and Fiscal Policy” with Martin F. Hellwig, Edward C. Prescott, Peter A. Diamond, Christopher A. Sims, 6th Lindau Nobel Laureate Meeting on Economic Sciences, Lindau, August 2017.

摘要: 在本文中,我會討論大數據方法與金融行業的相關性,描繪出金融行業採用大數據面臨的挑戰和科技發展的未來機會。儘管很多應用領域都與消費金融相關,由於金融行業的交易體量和資金體量的緣故,本文集中在企業銀行方面(金融市場、企業信貸、交易等)。

摘要: 在電影《魔球》裡,敘述美國職棒大聯盟球隊經理Billy Beane運用統計數據,精準評估出球員們的價值、有效分配資源,以組成最能發揮戰力團隊的能力讓人印象深刻;透過資訊整理、數據分析,再加上對於資訊和數據的敏銳觀察,讓Billy Beane能夠聰明地解讀出資訊背後所隱藏的意義,進而準確做出預測和分析。這段曾經真人實事發生於MLB奧克蘭運動家隊的故事,有可能再重現於我們的生活當中嗎?答案絕對是肯定的,而且就靠著目前不容忽視的Big Data浪潮!

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