Search
Profile

Ask your question

Close

evgeny-m Evgeny Mayukovsky|   Apr 01, 2021

Factors and Methods influencing Dividend Forecasting

Many factors influence the type of ML program used to forecast stock dividends. (For instance, company stock price vs industry stock price pushing an analyst toward using regression analysis or moving averages.) But what are the best analytical methods to use when you don’t have access to full historical financial data? Could enough industry and competitor company data make up for incomplete company data?

Likes (0) Views (0)

Relevant datasets

PipeCandy Alternative Data for Hedge Funds

by pipecandy

PipeCandy Alternative Data for Hedge Funds leverages their excellent e-commerce and marketing data to help guide hedge fund growth.

0 (0)   Reviews (0)

Entelligent Portfolio Optimization

by

Portfolio Optimization by Entelligent provides data about changes in climate and energy for businesses to optimize and align existing investment portfolios.

0 (0)   Reviews (0)

FactSet Portfolio Analytics

by

Portfolio Analytics by FactSet monitor business’s portfolios and provide insight into their performance, attribution and risk.

0 (0)   Reviews (0)

TipRanks Smart Portfolio

by

TipRanks Smart Portfolio is a portfolio that can be used on the web and mobile app that allows users use investment tools.

0 (0)   Reviews (0)

TransUnion Portfolio Management Services

by

TransUnion Portfolio Management Services helps its clients to understand and provide solutions to changes in customer credit.

0 (0)   Reviews (0)

Similar Data Providers

  • The Arabesque GroupThe Arabesque Group
    5 (1)
    Reviews ()
    Data sets (4)
    Established in 2013, the Arabesque Group is a leading global financial technology company that combines AI with environmental, social and governance (ESG) data to assess the performance and sustainability of corporations worldwide. In addition to their Asset Management consultation service, the groups offers Arabesque S-Ray GmbH and Arabesque AI Ltd. datasets.
  • Black Box Intelligence Consumer IntelligenceBlack Box Intelligence Consumer Intelligence
    5 (1)
    Reviews ()
    Data sets (0)
    Black Box Intelligence Consumer Intelligence is designed to provide detailed analysis on individual competitor sales and performance data.
  • Home by VendigiHome by Vendigi
    4.3 (3)
    Reviews (1)
    Data sets (1)
    Home by Vendigi provides audience data for all things home buyers, remodelers, and sellers. Their data comes from first-party sources like top multiple listing systems (MLSs) major brokers like RE/MAX, Coldwell Banker, Century 21, and Sotheby's. Users of Vendigi's Home data range from home and garden retailers to insurance institutions to telecom companies.