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HFM-Winners-2019-IHSMarkit
auto-generated 31-Jan-2021
FINANCIAL SERVICES The future of portfolio management Ed Chidsey of IHS Markit considers the power of alternative data like I ntegrating alternative data into the investment process is the future of portfolio management, yet the practice of identifying valu- able, non-traditional datasets is age old. Some call it fundamental anal- ysis, interviewing customers about a company s product. Others call it plain smarts , like using satel- lite imagery to measure crop yields or revenue at the mall. For

Keywords

future of portfolio management data alternative data alternative future of portfolio portfolio management ihs markit chidsey ihs markit portfolio management ed chidsey

Sources: IHS Markit

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This section lists the Pathway type, Priority/ function areas, Sectors/ fields of life and People/ roles for the pathway.
Type:   Industry Standards
Priority/ Function Areas:   Business & Industrial
Sectors/ Fields of Life:   Economy-wide
People/ Roles:   Manufacturers  Organizations  Multi-Nationals  Public Companies  Private Corporations
This section lists the Categories, Goals, Measures and Actions included in the pathway.
Categories:   supply   markit   greenwich   future   firm   manager   market   short   production   source   alternative   agree   services   equity   business   insight   company   portfolio   using   model   component   chidsey   type   mostly   investor   information   medium   asset   economy   analyse   value   derive   credit
Profiles:   we testing   this information   a model   an assistance   the list   an call   hfm services   the power   the crowd   the edge   that edge   the question   the data   the quants   the survey   the forms   the value   financial services   the market   the managers   hi areas   the practice
Goals:   identify nontraditional datasets   set demystifying study   install sensors tracking   validate derived value   give beginning edge   aggregate pipe analyse   access spanning data   understand ingesting data   give investing edge   span real economy
Measures:   economic risk   critical component   fundamental ysis   combina tion   class team   derive economy   manage director   fix pricing   new datasets   strong focus   twitter activity   wearablesdronesiot sensors   insight technology   last count   same time   ingest data   datum models   high likelihood   mechanical engineering   science team   lite imagery   financial services   prepackage analytics   alternative access   institutional tools   automotive sales   such information   short squeezes   grow number   predictive power   alternative sources   derivative valuations   alternative data   datum study   strong power   grow team   new relationships   able datasets   nontraditional datasets   proprietary analytics   big impact   real economy   lead indicator   significant alpha   short data   credit cards   profound shift   datum cards   multiple sources   social media   hide value   webscraped data   such insights   alternative spectrum   datum sources   datum access   demystify study   anal ysis   cial traffic   clude bills   major driver   crop yields   raw data   supplemental expertise   hfm services   invest edge   prepackage models   satel imagery   alternative sets   ternative data   most firms   early stages   plain smarts   unique sets   advance models   alternative factors   great source   alternative study   crowdsourced cards   direct indicators   large segments
Actions:   span economy   use imagery   need expertise   test indicators   get data   show alpha   see world   call it   find insight   hold mba   analyse activity   ntegrating data   ingest it   give edge   install tracking   use tion   join markit   evaluate access   see fig   use associates   find value   discover relationships   understand es   include data   measure yields   consume it   interpret data   use data   report hfmglobal   use plan   backtesting datasets   demand examples   understand data   validate value   forecast cards   track sensors   test metrics   test models   spend years   access data   analyse sources   focus transactions   derive new   interview customers   bring benefits   set study   identify datasets   turn information   identify valu   aggregate analyse
This section lists the details about pathway-specific attributes.