Browsing by Subject "ennusteet"

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  • Linnamo, Jussi (1960)
    Bank of Finland. Monthly Bulletin 34 ; 5 ; May
  • Francis, Bill; Hasan, Iftekhar; Li, Lingxiang (2014)
    Bank of Finland Research Discussion Papers 19/2014
    Published in Review of Quantitative Finance and Accounting, Volume 46, Issue 2, February 2016: 217–260
    We study the impact of firms' abnormal business operations on their future crash risk in stock prices. Computed based on real earnings management (REM) models, firms' deviation in real operations from industry norms (DRO) is shown to be positively associated with their future crash risk. This association is incremental to that between discretionary accruals (DA) and crash risk found by prior studies. Moreover, after Sarbanes-Oxley Act (SOX) of 2002, DRO's predictive power for crash risk strengthens substantially, while DA's predictive power essentially dissipates. These results are consistent with the prior finding that managers shift from accrual earnings management (AEM) to REM after SOX. We further develop a suspect-firm approach to capture firms' use of DRO for REM purposes. This analysis shows that REM-firms experience a significant increase in crash risk in the following year. These findings suggest that the impact of DRO on crash risk is at least partially through REM.
  • Bank of Finland (2021)
    Bank of Finland. Bulletin 3/2021
    The COVID-19 pandemic will ease due to the vaccination programme, and as a consequence the Finnish economy will start to grow at a brisk pace. As the COVID restrictions end and uncertainty decreases, households will be able to consume more freely. With economic growth also strong globally, this will give a fillip to Finland’s foreign trade. The pandemic is, however, not yet finally over. There is still the threat that it could worsen again, and this casts a shadow over both the growth outlook for Finland and that for the global economy as a whole. The Finnish economy will grow 2.9% in 2021 and 3.0% in 2022. The rapid growth will, however, be temporary, and the pace will slow to 1.3% already in 2023.
  • Bank of Finland (2020)
    Bank of Finland. Bulletin 5/2019
    Economic growth has slowed in the euro area and in Finland’s other important export markets. As a consequence of the weaker trend in the international economy, Finland’s annual economic growth will slow temporarily in 2020 to under 1%. Both the euro area and the global economy will, however, begin to gradually recover and provide a pull for the Finnish economy, too. Finland’s GDP growth will therefore pick up a little, to 1.1% in 2021 and 1.3% in 2022.
  • Bank of Finland (2020)
    Bank of Finland. Bulletin 6/2020
    The economic recession caused by the pandemic has so far been milder in Finland than elsewhere in the euro area, but the coming winter will still be difficult. Vaccinations do, however, bring hope of an end to the crisis, both in Finland and around the world. COVID-19 will gradually be left behind in the course of 2021 due to the vaccines, and household consumption will drive growth of 2.2% in the Finnish economy. This will strengthen to 2.5% in 2022. At the end of the forecast period in 2023 the economy will be growing only slowly, as the conditions for growth in the Finnish economy in the long term are weak.
  • Saarenheimo, Tuomas (2005)
    Bank of Finland Research Discussion Papers 2/2005
    The median age of the global population is presently increasing by nearly three months every year.Over the next couple of decades, almost every country in the world is set to experience an unprecedented increase in the share of elderly population.This development has the potential to fundamentally affect the functioning of economic and financial systems globally.This study concentrates on the effects of ageing on the evolution of global interest rates and financial flows.The study uses a 73-cohort general equilibrium overlapping generations model of five major economic areas (USA, EU-15, Japan, China, and India).Utilising actual population data and UN population projections, the model yields predictions for major economic and financial variables up to 2050.The model predicts a decline in global equilibrium real interest rates over the next two decades, but the size of the decline depends crucially on the future evolution of public pension benefits.If the present generosity of pension systems is maintained - leading to a steep increase in the cost of the pension systems - the maximum decline of interest rates is projected to be about 70 basis points from present levels.If pension benefits are reduced to offset the increasing cost pressures, the decline in global equilibrium interest rates can be much larger, while increases in the retirement age work in the opposite direction.The results do not anticipate a 'financial market meltdown' - a collapse in asset prices associated with the retirement of the baby-boomers - predicted by some.On the contrary, bond prices should fare fairly well over the next three decades.The main reason for this is that increasing life expectancy at retirement creates a need for higher retirement saving - in the future, people will want to retire wealthier than they do today.This trend more than offsets the negative effect of the retirement of baby-boomers on asset demand.Key words: Ageing, real interest rates, financial flows, public pension systems JEL classification numbers: J11, E44
  • Parkkinen, Pekka (1987)
    Bank of Finland. Monthly Bulletin 61 ; 3 ; March
  • Crespo Cuaresma, Jesús; Slacik, Tomás (2007)
    BOFIT Discussion Papers 4/2007
    Published in Economics of Transition, Volume 18, Issue 1, January 2010, Pages 123-141
    We propose exploiting the term structure of relative interest rates to obtain estimates of changes in the timing of a currency crisis as perceived by market participants.Our indicator can be used to evaluate the relative probability of a crisis occurring in one week as compared to a crisis happening after one week but in less than a month.We give empirical evidence that the indicator performs well for two important currency crises in Eastern Europe: the crisis in the Czech Republic in 1997 and the Russian crisis in 1998. Keywords: Currency crisis, term structure of interest rates, transition economies. JEL classi.cation: F31, F34, E43.
  • Niu, Linlin; Xu, Xiu; Chen, Ying (2015)
    BOFIT Discussion Papers 12/2015
    We propose the use of a local autoregressive (LAR) model for adaptive estimation and forecasting of three of China’s key macroeconomic variables: GDP growth, inflation and the 7-day interbank lending rate. The approach takes into account possible structural changes in the data-generating process to select a local homogeneous interval for model estimation, and is particularly well-suited to a transition economy experiencing ongoing shifts in policy and structural adjustment. Our results indicate that the proposed method outperforms alternative models and forecast methods, especially for forecast horizons of 3 to 12 months. Our 1-quarter ahead adaptive forecasts even match the performance of the well-known CMRC Langrun survey forecast. The selected homogeneous intervals indicate gradual changes in growth of industrial production driven by constant evolution of the real economy in China, as well as abrupt changes in interestrate and inflation dynamics that capture monetary policy shifts.
  • Newby, Elisa; Railavo, Jukka; Ripatti, Antti (2011)
    Bank of Finland bulletin. Economic outlook 3
    The purpose of economic forecasts is to support economic agents decision-making by providing a coherent picture of the present state of the economy and the outlook for the future. Since 2004, a key tool for preparing the Bank of Finland s forecast has been the Aino model.1 It is employed as a tool for integrating forecast information. The new version of the Aino model was introduced in the preparation of the March 2010 forecast. This article describes the features of the model and its use in the preparation of forecasts.
  • Oinonen, Sami; Vilmi, Lauri (2021)
    BoF Economics Review 5/2021
    This paper presents the New Keynesian Phillips Curve (NKPC) -based framework for analysing euro area inflation outlook. Our NKPC specification, that relies on market- and surveybased inflation expectations, explains well euro area inflation dynamics. Its forecasting performance is also comparable to the performance of the ECB’s official forecasts in both short- and long-horizons. Overall, the NKPC is a useful tool for monitoring euro area inflation outlook. Thanks to its fast and light updating procedure it provides almost real-time information on inflation outlook.
  • Oinonen, Sami; Paloviita, Maritta (2014)
    Bank of Finland Research Discussion Papers 29/2014
    This paper examines aggregated inflation expectations based on the ECB Survey of Professional Forecasters (ECB SPF). We analyse possible impacts of changing panel composition on short and long term point forecasts and forecast uncertainties using approach, which is based on a set of sub-panels of fixed composition. Our results indicate that the unbalanced panel data do not cause systematic distortions to aggregated survey information. However, micro level analysis of expectations would also be useful, especially in times of wide disagreement across forecasters and high levels of inflation uncertainty. Keywords: survey data, expectations, changing panel composition
  • Ahlstedt, Monica (1998)
    Suomen Pankki. E 11
    This study uses GARCH modelling to estimate and forecast conditional variances and covariances of returns calculated from a set of financial market series: twelve markka exchange rates, twelve corresponding shortterm euro interest rates and the Finnish short-term interest rate, the Finnish long-term interest rate, the Finnish all-share index and real estate prices. The variances are specified through univariate estimation and the analysis is then extended to a portfolio of assets by presenting and applying two alternative methods for covariance modelling.The first method is based on the assumption of identical autocorrelation structure for variances and covariances.The other method is based on the assumption of constant correlation.Both methods are flexible and enable the extension of the analysis to a large number of return series. The study then derives a forecast function from the models estimated from pooled data for variances and covariances of exchange rates and interest rates and from individual data for the other rates, in the form of a weighted moving average of past squared residuals.GARCH forecasts for the variances of individual return series as well as portfolios are compared in an ex post context, on the one hand, to two alternative forecasts based on piecewise homoscedastic variance models and, on the other, to actual data on squared returns. The empirical results in the study show that the estimated variance-covariance models display a high degree of similarity both across the variables and across subsamples (ie across exchange rate regimes); GARCH(1,1) seems to represent the underlying conditional variance process fairly well.In terms of persistence in the variance processes, which is nearly IGARCH(l,1), the estimated models are also remarkably similar both for the individual variables and for pooled data.Hence parsimony suggests using an integrated process to represent volatility in the sample.The study also argues that the estimated GARCH models represent a methodological and empirical improvement over those estimates typically used eg in value-at-risk calculations. Keywords: time-dependent volatility, GARCH estimation, value-at-risk models
  • Paloviita, Maritta; Virén, Matti (2014)
    Bank of Finland Research Discussion Papers 8/2014
    This paper studies forecasts errors at the micro level using two alternative survey data sets. The main focus is on inflation and real GDP growth forecasts in the ECB Survey of Professional Forecasters. For comparison, inflation forecasts in the US Survey of Professional Forecasters are also examined. Our analysis indicates that forecast errors are positively related to the subjective uncertainties based on probability distributions, but not to disagreement (standard deviation of point forecasts). We also show that forecast errors, which are rather persistent, are related to forecast revisions. Revisions of expectations generally lead to larger forecast errors. Subjective uncertainty measures, which are available at the time of forecasting, are useful in assessing future forecast errors. Key words: Forecasting, Survey data, Expectations JEL Classification: C53, E37, E31
  • Vlasov, Sergey (2013)
    BOFIT Online 9/2013
    This study examines Russia's short- and long run fiscal sustainability. The study reveals the possible risks, if fiscal sustainability deteriorates on the general government budget level. By employing a special fiscal stress index, Russia's public finances are evaluated as sustainable in the short run. In the long run, the study analyzes advantages and limitations of the new fiscal rules, compares the new rules with the previous fiscal rules suspended during the financial crisis and discusses the possibilities for further development of the fiscal rules in Russia. The official long run socio-economic development forecast is employed for the estimates. The analysis suggests that comparing to 2012 government revenue will decrease by 7.5 p.p. of GDP by 2050, explained by the drop in oil-and-gas revenue by 8.7 p.p. of GDP. Government expenditure will decrease by 6.0 p.p. of GDP. The value of government net worth will become negative by 2050 but on the infinite projection horizon should stabilize on the safe level close to -15% of GDP. Keywords: fiscal sustainability, fiscal stress index, fiscal rules, general government budget, budget forecast
  • Kukkonen, Pertti (1968)
    Suomen Pankin taloustieteellisen tutkimuslaitoksen julkaisuja. B 28
    1. INTRODUCTION 9 2. THE METHOD OF ITERATED MOVING AVERAGES 2.1. General Remarks 12 2.2. Weighted Moving Averages 13 2.3. Computational Steps 15 3. THE METHOD OF ITERATED MOVING AVERAGES AS A METHOD OF ESTIMATION 3.1. Constant Seasonal Patterns 18 3.1.1. The Method of Moving Averages in Operator Notation 19 3.1.2. Some Concepts of Spectral Analysis 21 3.1.3. The Efficiency of Iteration 22 3.1.4. HANNAN's Estimator for Constant Seasonal Patterns 24 3.2. Changing Seasonal Patterns 25 3.2.1. The Frequency Response Function of the Filters C 26 3.2.2. Expectation of the Estimate of the Seasonal Component 31 3.2.3. Iteration and the Slutzky-Yule Effect 36 3.2.4. On the Treatment of the First and Last Observations in a Time Series 42 3.3. Examples of the Application of the Method of Iterated Moving Averages 45 3.4. Alternative Methods 48 4. REGRESSION ANALYSIS AS A METHOD OF ESTIMATING SHORT-TERM VARIATIONS 4.1. Effect of the Residual Component on the Forecast Error in the Case of Optimal Linear Filters 51 4.2. On Defining the Seasonal and Calendar Variations in Regression Analysis 53 4.3. Various Types of Models Employed in the Regression Analysis of Seasonal and Calendar Variations 59 4.4. The Least Squares of Differences Method 61 4.4.1. The Criterion Suggested by RUIST 62 4.4.2. The Least-squares Criterion for Differences and the Classical Linear Regression Model 63 4.4.3. Restrictions on the Parameters 67 4.4.4. The Method of Restricted Least Squares 69 4.4.5. A Computational Procedure for the Method of Restricted Least Squares 70 4.5. Elimination of Seasonal and Calendar Variations from the Time-series Data for Econometric Models through the Regression Method 75 4.5.1. LOVELL's Theorem 76 4.5.2. The Effect of Linear Restrictions 79 4.5.3. The Trend-cycle Component, Calendar Variations and Short-term Changes in the Seasonal Pattern 82 4.6. Applications of the Regression Method 84 4.6.1. Specification of the Trend-cycle Component in Applications of the Least Squares of Differences Method 85 4.6.2. Abrupt Changes in the Seasonal Pattern 97 4.6.3. Calendar Variations100 4.6.4. The Special Seasonal Variations due to Unseasonal Weather Conditions103 4.6.5. The Impact of the Choice of a Seasonal Adjustment Method on the Estimation of a Demand for Labour Model109 4.6.6. A Summary of the Application of the Least Squares of Differences Method114 REFERENCES 115 LIST OF SYMBOLS 117 APPENDIX 1. The Bank of Finland Method of Iterated Moving Averages for the Analysis of Seasonal Variations 119 APPENDIX 2. The Weights of Alternative Smoothing Formulae in the Method of Iterated Moving Averages 123 APPENDIX 3. Finnish Economic Time Series Data Used in Applications 128
  • Hukkinen, Juhana; Virén, Matti (1996)
    Suomen Pankin keskustelualoitteita 23/1996
    This paper contains a description of a small quarterly forecasting model for the Finnish economy.We evaluate the forecasting properties of the model by means of stochastic simulation involving both the endogenous and exogenous variables of the model.The simulations allow us to identify and quantify the main sources of forecasting uncertainty.We are also able to assess the linearity of the model.Forecasting performance is also analyzed in a conventional way by means of dynamic simulation.The important issue in these simulations is the stability of the model: how simulated values depend on the estimation period and the ordering of time periods. Key words: forecasting, macro models, simulation
  • Barker, Jamie; Herrala, Risto (2021)
    BOFIT Policy Brief 8/2021
    Since embarking on economic reform in 1991, India has experienced three decades of rapid economic development. Recently, however, there has been significant uncertainty about the growth outlook of the Indian economy in the mid-term perspective. In this paper we use standard regression techniques to project the path of the Indian economy over the next 4 years. The analysis, which abstracts from the pandemic period, mainly serves as support to forecasting the global economy. After the pandemic, GDP growth is projected to rebound this year and then slide to-wards 6 ‒ 7% in the medium term. The analysis broadly agrees with the recent projections of India’s mid-term growth rate by other institutions.
  • Airikkala, Reino; Sukselainen, Tuomas (1972)
    Bank of Finland. Monthly Bulletin 46 ; 7 ; July
  • Bank of Finland (2021)
    Bank of Finland. Bulletin 3/2021
    Bar raised for economic policy – demographic trend and public debt weigh on national economy ... 3 Forecast: Finnish economy takes off as pandemic eases ... 7 Households use their savings more quickly than anticipated ... 28 Public purse carried households and businesses through the COVID crisis ... 33 Forecast tables for 2021–2023 (June 2021) ... 44