Skip to main content

ICMA Centre Professor elected an Honorary Fellow of the International Institute of Forecasters

Professor Michael Clements has been elected an Honorary Fellow of the International Institute of Forecasters (IIF), in recognition of major contributions to the field of forecasting. The IIF is a non-profit organisation 'dedicated to developing and furthering the generation, distribution, and use of knowledge on forecasting' (see http://forecasters.org/about/for a full description of the Institute's objectives).

Michael joins two Nobel Prize winners and a Knight!

Michael is Professor of Econometrics at the ICMA Centre and his interests are in the areas of time-series econometrics and forecasting, and he has been published widely in academic journals on forecast evaluation, mixed-frequency data modelling, non-linear modelling and business cycle analysis, real-time modelling and forecasting, factor model forecasting, and the analysis of survey expectations.

Professor Michael P. Clements

Professor of Econometrics
Published 1 August 2014

You might also like

Making a splash in the stock market: Does listing status affect stakeholder orientation?

1 August 2018
With that thought in mind, it has been dry lately, hasn’t it?

What can history tell us about pensions

25 January 2010
A current article in the magazine Professional Investor, 'Annuities: Lessons from the past and concerns from the future', discusses what, if anything we can learn from history about the pricing of modern annuities. Adrian Bell and Charles Sutcliffe discuss the current methods used to price annuities and warn that a shake up in the industry is needed if it is to cope with predicted demand for such products.

Econometrics and Financial Data Science conference at the ICMA Centre

6 November 2017
The ICMA Centre at Henley Business School hosted the first edition of the Econometrics and Financial Data Science conference on 2 November 2017. Financial data science is an emerging field that uses novel datasets and technologies made possible through recent advances in computer science to answer important financial questions.