aakarsh ramchandani
SVP, Corporate Strategy at RavenPack
RavenPack
https://www.linkedin.com/company/ravenpack
Greater New York City Area
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SVP, Corporate Strategy
Poocho
https://www.linkedin.com/company/justpoocho
Mumbai Area, India
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Board Member
causaLens
https://www.linkedin.com/company/causalens
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Advisory Board Member
Knoema
https://www.linkedin.com/company/knoema
Greater New York City Area
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Advisory Board
Copra Produce
https://www.linkedin.com/company/copra-produce
Greater New York City Area
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Investor & Advisor
In this study, we use data from FactSet Relationships to build a monthly stock selection model centered on customer and supplier companies in the Russell 3000 universe. We first study customer‐to‐supplier momentum and vice versa in modified FactSet Revere industry groups. We find that the customer‐to-supplier lead‐lag effect (or vice versa) is not only contingent on the industry group in which the underlying company exists, but is also dependent on the directionality of the source of the information which changes over time. We then build a dynamically‐updating model, which incorporates our empirical observations, to find that our Sharpe ratio drastically increases to 2.2 with annualized returns of 11%. Finally, we test the limited investor attention theory by studying how media attention on an individual firm itself impacts economically‐linked price momentum. Incorporating asymmetrical media reaction improves the annualized returns on the underlying strategies to over 15% with a Sharpe of 1.5. Our results are consistent even when restricting our universe to companies with a market capitalization
of over $1 billion dollars.
Incorporating Bidirectional Momentum Effects and Media Attention to Profitably Trade Economically Linked Companies
Apr 2014
http://Factset.com
The Construction and Performance of Passive Rules-Based Geographic Revenue Portfolios
Revere Data
The Revere Hierarchy™ is compared with a widely used Industry Classification System (“ICS”) in its ability to provide a better context for economic and financial analysis at the company level. The comparisons are made using company level information: financial ratios, valuation metrics and price changes. Research results show that industry groups created using Revere Hierarchy™ are better at explaining price return co-movements, as well as cross-sectional variations in valuation-multiples and other key financial ratios.
Comparing Industry Classification Systems: Verifying the efficacy of Revere’s industry grouping
Revere Data
http://www.reveredata.com/media/classification_system_Research_Note-FINAL.pdf
In this paper we combine multiple specialized datasets from Revere Data to forecast the future returns of conglomerate firms, following the methodology of Cohen and Lou (2011). With some important caveats, we document the viability of a profitable trading strategy for conglomerate firms using the prior performance of single line of business companies. Next, we extend the Cohen study in multiple ways. First, we use the unique Revere Industry Hierarchy structure to define conglomerate firms both more broadly and more precisely. Second, we use the unique granularity of the Revere Industry Hierarchy to improve the profitability of the trading strategy. Finally, we offer a novel asset pricing factor for forecasting the performance of conglomerate returns. We show this factor to be uncorrelated with the Cohen factor and that a strategy combining the two has a significantly improved risk adjusted returns.
Capitalizing On Information Anomalies
Revere Data
https://www.linkedin.com/in/daniel-benitez-14b60240
New York, NY
Daniel Benitez
VP of Product @ RavenPack
https://es.linkedin.com/in/armando-gonzalez-a28572b
Greater Málaga Metropolitan Area
Armando Gonzalez
CEO at RavenPack
https://www.linkedin.com/in/robert-tupper-42423654
New York, NY
Robert Tupper
Vice President of Sales, Americas at RavenPack
https://www.linkedin.com/in/brettvandyke
New York, NY
Brett Van Dyke
Vice President - Corporate Development & Strategy at RavenPack
https://www.linkedin.com/in/jose-marques-b5a911
New York, NY
Jose Marques
Incoming Chief Executive Officer at Intech
https://es.linkedin.com/in/malcolmbain
Greater Marbella Metropolitan Area
Malcolm Bain
Director of Sales at RavenPack
https://www.linkedin.com/in/charles-poliacof-84753832
New York City Metropolitan Area
Charles Poliacof
Chief Executive Officer at Knoema
https://www.linkedin.com/in/devika-darbari-8187618
New York, NY
Devika Darbari
Vice President Strategy Operations at Synctera
https://uk.linkedin.com/in/alexwinstone
London
Alex Winstone
Account Director at causaLens
https://www.linkedin.com/in/steinerben
New York, NY
Ben Steiner
Bringing Causal AI to the Asset Management industry   |   Adjunct Lecturer at Columbia University
https://www.linkedin.com/in/alan-liu-29997b106
New York, NY
Alan Liu
Quantitative Researcher at RavenPack
https://www.linkedin.com/in/davidhannibal
New York City Metropolitan Area
Dave Hannibal
Product & Partnerships
https://es.linkedin.com/in/alexandra-rand-ab4604b1
Marbella
Alexandra Rand
Project Manager at RavenPack
https://www.linkedin.com/in/emily-somma
New York, NY
Emily Somma
Vice President of Solutions at Knoema
https://www.linkedin.com/in/ronsuber
Denver, CO
Ron Suber
ReWiring
https://www.linkedin.com/in/josh-kuzon-78035a5
New York, NY
Josh Kuzon
Partner at Reciprocal Ventures - early stage fintech, crypto investor
https://www.linkedin.com/in/david-j-la-placa-4ab26
San Francisco Bay Area
David J. La Placa
Chief Executive Officer | Founder at Intellectus Partners, LLC
https://www.linkedin.com/in/peter-moustakerski
New York, NY
Peter Moustakerski
Providing family offices and their trusted advisors with curated peer exchange, continuous learning, and objective guidance
https://www.linkedin.com/in/james-j-r-rieger-2018
Garden City, NY
J.R. Rieger
Author of The Rieger Report. Consultant for institutions on ETFs,  indexing, and bond pricing/valuation issues.
https://www.linkedin.com/in/maryjosephs
Greater Chicago Area
Mary Sullivan Josephs
Expert advisor recognized as a top woman counselor to privately held business owners; Corporate Board Director
Naixian Carucci, CFA, VP
      
          



            
              
        
              
  

    
        Aakarsh is a driven, dedicated professional with great passion to tackle difficult problems both at work and in financial markets. His passion is well equipped with his abrasive intelligence dwarfing his peers of similar age or much senior ones. Moreover, he is persevere and persistent to start and complete research projects, writing articles that are comparable to PhD thesis. Aakarsh is also a charming person with great communication skills and sharp business acumen, naturally falling into the role of a leader. Lih-Hann Chiu
      
          



            
              
        
              
  

    
        Aakarsh is a driven, dedicated, and passionate professional who is not afraid to take personal responsibility for the success of his team. He has consistently exhibited the drive and capacity to learn new skills, take on unforeseen challenges, and work long hours in order to accomplish difficult but necessary objectives. His combination of personal ambition and team dedication make him a valuable asset to any enterprising organization.
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Spotify taking its podcast search and discovery experience to the next level using dense vector models build with deep neural networks using past…
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At Poocho, we’ve never needed to look too far to find women role models. We have many strong women in our ranks, none more so than our Founder, Dr…
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Credit Suisse has now traded over 1 BILLION DOLLARS in derivatives linked to the Credit Suisse RavenPack Artificial Intelligence Index. This…