FX rates (last) and forecasts (end 2022/end 2023)
Piotr Wdowiński is Associate Professor and Head of The Econometrics Department at The University of Lodz, Poland. He is a former Director of The Institute of Econometrics at The University of Lodz. In the past, he used to work as an economist at The Polish Financial Supervision Authority. He is the author of monographs and scientific publications in peer-reviewed journals, the principal researcher in European Union projects, The Committee for Scientific Research and The National Science Center. He is also the editor-in-chief of The Econometric Research in Finance journal. Piotr Wdowiński specializes in econometric modelling and forecasting of macroeconomic and financial processes, financial stability and macroprudential policy. He is a lecturer in econometrics, forecasting and data science. He has considerable experience in using econometric software and Linux server systems.
Michał Rubaszek is Associate Professor and Head of Financial Markets Modelling Unit at SGH Warsaw School of Economics. In the past, he used to work as an economic advisor in the National Bank of Poland (Research Department) as well as expert in the European Central Bank (DG Economics). His research interest covers international economics, forecasting, heterogeneous agent models and exchange rate economics. He published in International Journal of Forecasting, Journal of International Economics, European Economic Review, Journal of Money, Credit & Banking, Journal of International Money & Finance and Energy Economics.
The Economic and Financial Forecasts IPEF system was created to help businesses and individuals manage medium-term risk related to the future dynamics of key variables. The underlying procedures are based on the results of most recent studies focusing on forecasting financial variables, which have been published in recognized academic journals. To this end, the IPEF forecasting system has been developed to provide a bridge between businesses’ needs and the findings of academic research.
All forecasts are calculated and updated automatically once a day. They are based on econometric models and the most recent information from financial markets. Calculations are done in R/Shiny statistical package.
The current version is limited to major exchange rates, however future extensions for other variables, e.g. interest rates and commodity prices are to be expected.
Disclaimer: The information provided does not constitute professional financial investment advice. The IPEF is not an investment advisor, broker or dealer and it does not rely on any insider information.
The Economic and Financial Forecasts IPEF's mission is to bridge the gap between the business needs and the findings of academic research.
The Economic and Financial Forecasts IPEF's vision is to make the best use of statistical and econometric methods to improve the quality of models and forecasts.