Haku
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Use of unit root methods in early warning of financial crises
(03.11.2016)
Bank of Finland Research Discussion Papers 27/2016
Bank of Finland Research Discussion Papers 27/2016
Unit root methods have long been used in detection of financial bubbles in asset prices. The basic idea is that fundamental changes in the autocorrelation structure of relevant time series imply the presence of a rational ...
Testing the Q theory of investment in the frequency domain
(20.12.2016)
Bank of Finland Research Discussion Papers 32/2016
Bank of Finland Research Discussion Papers 32/2016
We revisit the empirical performance of the Q theory of investment, explicitly taking into account the frequency dependence of investment, Tobin’s Q, and cash flow. The time series are decomposed into orthogonal components ...
How to explain errors in budget balance forecasts in euro area countries? Empirical evidence based on real-time data
(17.06.2016)
Bank of Finland Research Discussion Papers 17/2016
Bank of Finland Research Discussion Papers 17/2016
The aim of this study is to explore budget planning in the euro area countries in 2004-2014. Our analyses are based on annual real-time data from the IMF World Economic Outlook publications. As forecasts made by different ...
How informative are aggregated inflation expectations? Evidence from the ECB Survey of Professional Forecasters
(24.05.2016)
Bank of Finland Research Discussion Papers 15/2016
Bank of Finland Research Discussion Papers 15/2016
This study examines aggregated short- and long-term inflation expectations in the unbalanced panel of the ECB Survey of Professional Forecasters. The focus of the study is on heterogeneity of expectations and changing panel ...
The Aino 2.0 model
(31.05.2016)
Bank of Finland Research Discussion Papers 16/2016
Bank of Finland Research Discussion Papers 16/2016
This paper presents Aino 2.0 – the dynamic stochastic general equilibrium (DSGE) model currently used at the Bank of Finland for forecasting and policy analysis. The paper provides a detailed theoretical description of the ...
Forecasting stock market returns by summing the frequency-decomposed parts
(28.11.2016)
Bank of Finland Research Discussion Papers 29/2016
Bank of Finland Research Discussion Papers 29/2016
We generalize the Ferreira and Santa-Clara (2011) sum-of-the-parts method for forecasting stock market returns. Rather than summing the parts of stock returns, we suggest summing some of the frequency-decomposed parts. The ...





