Customer Logins

Obtain the data you need to make the most informed decisions by accessing our extensive portfolio of information, analytics, and expertise. Sign in to the product or service center of your choice.

Customer Logins

Dividend Forecasting

The world’s most comprehensive dividend forecasting service with independent estimates of dividend payments powered by analyst expertise and advanced analytics

Better understand how companies are performing and what their projected dividends are with the IHS Markit Dividend Forecasting service. We estimate the amount and timing of dividend payments for global securities based on equity research, market announcements and unique quantitative insight. Forecasting out for five years, our global forecasting universe of 28,000+ stocks offers unrivalled coverage.

In addition to our global team of analysts applying a research-based methodology, we have developed an advanced predictive model in partnership with the data science team at IHS Markit. By incorporating probabilistic machine learning, statistical modelling and time series techniques to analyse and uncover patterns, implicit policies and add interconnected datasets, we can better predict dividends for companies, worldwide.

You can also subscribe to a dividend point service, which provides insight into the expected impact on equity index values.

Key benefits

  • Scale – Access fundamental, bottom-up analysis for over 28,000+ stocks, including ETFs and ADRs, provided by 40+ experts.
  • Cutting-edge technology – Leverage data science techniques to provide granular forecasts and unique insights.
  • Granularity – Find individual forecasts for each dividend amount, ex-date, record date and pay dates, including confidence analytics.
  • Timeliness – Receive daily updates containing major dividend announcements and significant changes.
  • Up-to-date forecasts – See the latest policy changes, company data and earnings releases.
  • News and research – Gain insights from independent research and commentary highlighting market trends and risk.
  • Support – Obtain full access to our analysts for additional insight.
Access unrivalled dividend forecasting coverage
REQUEST INFORMATION
Dividend Forecasting Portal: Free trial Calculate projected equity income and better manage risk across your portfolios
Dividend Forecasting Email Alerts Keep up to date on the latest dividend changes. Receive announcements and commentary via email alerts.
SIGN UP

Resources

Thought Leadership

Customers

  • Asset managers
  • Custodians
  • Derivative exchanges
  • Hedge funds
  • Investment banks
  • Middle office
  • Risk managers
  • Security lenders
  • Single stock & index traders

Experts

Tom Matheson

With more than a decade of experience at IHS Markit, he partners with industry leaders to optimize the use of dividend forecasting in quantitative investment strategies and smart-beta index design. An expert commentator, Mr. Matheson regularly speaks with financial media, and at industry events. He graduated with honors from the University of Exeter, UK, where he studied Business Economics, Financial Accounting and Management Strategy.

View Profile

Alessandro Ferretti

Mr. Ferretti is global head of Quantitative Analytics and Research (QAR) at IHS Markit. Mr. Ferretti's responsibilities include managing product strategy, business development and customer engagement for Dividend Forecasting, Research Signals and Trading Analytics products. With a special interest in strategy and innovation, he has a proven track record of leading cross-functional teams to deliver new solutions for buy-side and sell-side partners. Prior to joining the firm in 2007, Mr. Ferretti worked at Bear Sterns Private Client Services in London, where he assisted clients on alternative investment products. Educated in the UK, Mr. Ferretti holds a Bachelor of Arts (Hons) in International Business from the Nottingham Trent University and a Master of Science in Global Banking and Finance from Regent's University, London.

View Profile

Ryan Bransfield

He is responsible for the integrity of estimates and analysis generated by the global Dividend Forecasting team. He joined the firm in 2003, and prior to that worked at Thomson Reuters in the Global Estimates division. Mr. Bransfield graduated with a Bachelor of Arts in Economics and English from University College Dublin, Republic of Ireland. He holds the Investment Management Certificate and is a member of the CFA Society of the UK.

View Profile

Related Products

Explore

{"items" : [ {"name":"login","url":"","enabled":false,"desc":"Product Login for existing customers","alt":"Login","large":true,"mobdesc":"Login","mobmsg":"Product Login for existing customers"},{"name":"facts","url":"https://cdn.ihsmarkit.com/www/pdf/0821/Dividend-Forecasting.pdf","enabled":true,"desc":"Download product information","alt":"Download product information","mobdesc":"PDF","mobmsg":"Download product information"},{"name":"sales","override":"","number":"[num]","enabled":true,"desc":"Call Sales</br><strong>[num]</strong>","alt":"Call Sales</br>[num]","mobdesc":"Sales","mobmsg":"Call Sales: [num]"}, {"name":"share","enabled":true,"desc":"<strong>Share</strong>","mobdesc":"Share","options":[ {"name":"facebook","url":"https://www.facebook.com/sharer.php?u=http%3a%2f%2fihsmarkit.com%2fproducts%2fdividend-forecasting.html","enabled":true},{"name":"twitter","url":"https://twitter.com/intent/tweet?url=http%3a%2f%2fihsmarkit.com%2fproducts%2fdividend-forecasting.html&text=Dividend+Forecasting+%7c+IHS+Markit","enabled":true},{"name":"linkedin","url":"https://www.linkedin.com/sharing/share-offsite/?url=http%3a%2f%2fihsmarkit.com%2fproducts%2fdividend-forecasting.html","enabled":true},{"name":"email","url":"?subject=Dividend Forecasting | IHS Markit&body=http%3a%2f%2fihsmarkit.com%2fproducts%2fdividend-forecasting.html","enabled":true},{"name":"whatsapp","url":"https://api.whatsapp.com/send?text=Dividend+Forecasting+%7c+IHS+Markit http%3a%2f%2fihsmarkit.com%2fproducts%2fdividend-forecasting.html","enabled":true}]}, {"name":"rtt","enabled":true,"mobdesc":"Top"} ]}
Filter Sort