Nowcasting norwegian GDP: the role of asset prices in a small open economy
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This article finds that asset prices on Oslo Stock Exchange is the single most important block of data to improve estimates of current quarter GDP in Norway. We use an approximate dynamic factor model that is able to handle new information as it is released, thus the marginal impact on mean square nowcasting error can be studied for a large number of variables. We use a panel of 148 non-synchronous variables. The high informational content in asset prices is explained by reference to the small size of companies on Oslo Stock Exchange and the small and open nature of the Norwegian economy.
KeywordsForecasting Financial markets Monetary policy Factor models Small open economy
JEL ClassificationC33 C53 E52 G14
We gratefully acknowledge Domenico Giannone for making Matlab codes used by Giannone et al. (2008) available to us. We will also thank the editor, the referees, Hilde C. Bjørnland, Michele Modugno, Ragnar Nymoen, Terje Skjerpen, Shaun Vahey as well as conference participants at The 28 International Symposium on Forecasting in Nice, The 23rd Annual Congress of the European Economic Association in Milan and seminar participants at The 2007 Nowcasting Seminar in Norges Bank and University of Oslo for helpful comments. Views expressed are those of the authors and do not necessarily reflect the views of Norges Bank and The World Bank.
This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
- Aastveit KA, Trovik TG (2008) Estimating the output gap in real time: a factor model approach. Working Paper 2008/23, Norges BankGoogle Scholar
- Angelini E, Banbura M, Rünstler G (2008a) Estimating and forecasting the euro area monthly national accounts from a dynamic factor model. Working Paper Series 953, European Central BankGoogle Scholar
- Angelini E, Camba-Mendez G, Giannone D, Reichlin L, Rünstler G (2008b) Short-term forecasts of euro area gdp growth. CEPR Discussion Papers 6746Google Scholar
- Boivin J, Ng S (2005) Understanding and comparing factor-based forecasts. Int J Central Bank 1(3): 117–151Google Scholar
- Doz C, Giannone D, Reichlin L (2007) A two-step estimator for large approximate dynamic factor models based on kalman filtering. CEPR Discussion Papers 6043Google Scholar
- Evans MD (2005) Where are we now? real-time estimates of the macro economy. Int J Central Bank 1(2): 127–175Google Scholar
- Giannone D, Reichlin L, Sala L (2005) Monetary policy in real time. In: Gertler M, Rogoff K (eds) NBER macroeconomics annual 2004. MIT Press, Cambridge, pp 161–224Google Scholar
- Næs R, Skjeltorp JA, Ødegaard BA (2010) Stock market liquidity and the business cycle. J Financ (Forthcoming)Google Scholar