Remember the game show, Name That Tune? (Look it up...) What if I told you that the basic rubric from that game show - naming a song in fewer notes than your opponent - was useful for predicting all kinds facts about trading and other financial businesses. Tell me your trading strategy and AUM, I can tell you how many employees you have. You are an investment bank with 30,000 employees, I can guess your total technology budget. The list of triangulations like this are actually quite long... Seem strange? Here's some insight: As many of you know, Alphacution is studying the engines of productivity for the full spectrum of financial services firms - and many of their supply chain counterparts - by measuring, modeling and analyzing technology spending patterns and other operational data. Though still relatively early in the game, this research mission has already given birth to a standardized benchmarking framework - "T-Greeks" - that allows us to quantify consensus behaviors within a community of similar entities and determine who is leading or [...]
adjusted net trading revenue Aflac AI Aite Group Alan Greenspan Allston Alphabet Alphacution research vision Alphacution Riffs Amazon Apollo Management Apple AQR Capital artifical intelligence artificial intelligence asset management asset managers assets per employee attention economy attention market AUM/e AUM per employee automation average daily revenue analysis AWS Azure BAML Bank of America banks Barclays BATS benchmarking benchmarks Betterment BGC Partners BlackRock Blackstone blockchain BNP CooperNeff Bridgewater brokers business process outsourcing capex Carlyle Group CBOE Central Banks Charles Schwab Chopper Trading Citadel Citi Cloudera CME CME Group cognitive solutions Cognizant Technology Solutions collaboration collective intellect competitive intelligence Context Machine contextual data contiguous modeling Credit Suisse CRT CSC CyberCorp data automation data fluency data products Dell D E Shaw Deutsche Bank digital attention crisis digital content digital culture digital disruption digital enterprise digital frontier digital platform digital research digital transformation DIKW pyramid DLT Dodd Frank Dr. Evil DRW DTCC DXC Technology E*Trade EDS Enterprise IT eVestment exchanges Facebook fake news FANGs FinTech FIS Flow Traders Form ADV FRTB GETCO Goldman Sachs Google hardware spending Headcount headcount index headcount segmentation hedge funds Hewlett Packard Enterprise HFT HP HPE HPQ Hudson River human capital human capital costs human capital leverage human capital leverage benchmark human latency IaaS IBM ICAP IMC Indigenous Productivity Infosys ING Group innovation innovation laboratories Intel intelligence bottlenecks Interactive Brokers Interventionism ITG IT infrastructure costs IT outsourcing IT Services Janet Yellen Jefferies JPMC J P Morgan Jump Trading KCG Kensho Technologies KKR Knight Capital knowledge decay labor arbitrage Leucadia machine learning Man Group MapR market-making market data market data fees Marty Chavez McKinsey &Co MiFID II Millennium mission modeling methodology model library Morgan Stanley Mr. Bigglesworth Nanex Nasdaq NationsBank navigational intelligence Netflix Northern Trust Numerix Video Blog O'Connor & Associates Och-Ziff operational agility operational alpha operational analytics operational beta operational leverage operational risk opex Optiver Peak6 Personal Capital Point72 post-trade processing private equity process automation process efficiencies process re-engineering process replacement productivity engines proprietary trading prop shops Q4-2016 quantitative research Quantitative Trading Quantlab quote stuffing rant RBC relative-value Renaissance research strategy return on technology Revenue Analysis revenue per employee RGM RGM Advisors Riffs Robo-Advisors robotic process automation RPA RPE RPE Analysis sales enablement Sam Harris SEC smart touch SOES bandits software costs software development Sudoku Puzzle SunGard Sun Trading supply chain management Susquehanna Swiss Bank Sympohony Innovate 2017 T-Greeks T-Spread T-VOL Tata Consultancy Services TCO TCO/e tech debt technical infrastructure technical leverage technical leverage gap technical signature technology capital benchmark technology debt technology economics technology spending benchmarks technology spending volatility The Context Machine Thomson Reuters Timber Hill Tower Research Capital trade automation T R Price Two Sigma Two Sigma Investments UBS Vanguard Viking Global Virtu Virtu Financial VIX volatility Waking Up Podcast Webinar Wells Fargo Winton Capital Wolverine Wolverine Trading workflow automation XL Group
What Does Citadel* Spend on Technology?April 18th, 2018
- No comments have been published yet.