The Performance of Short-term Forecasts of the German Economy before and during the 2008/2009 Recession
Katja Drechsel, Rolf Scheufele
International Journal of Forecasting,
Nr. 2,
2012
Abstract
The paper analyzes the forecasting performance of leading indicators for industrial production in Germany. We focus on single and pooled leading indicator models both before and during the financial crisis. Pairwise and joint significant tests are used to evaluate single indicator models as well as forecast combination methods. In addition, we investigate the stability of forecasting models during the most recent financial crisis.
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Flow of Conjunctural Information and Forecast of Euro Area Economic Activity
Katja Drechsel, L. Maurin
Journal of Forecasting,
Nr. 3,
2011
Abstract
Combining forecasts, we analyse the role of information flow in computing short-term forecasts up to one quarter ahead for the euro area GDP and its main components. A dataset of 114 monthly indicators is set up and simple bridge equations are estimated. The individual forecasts are then pooled, using different weighting schemes. To take into consideration the release calendar of each indicator, six forecasts are compiled successively during the quarter. We found that the sequencing of information determines the weight allocated to each block of indicators, especially when the first month of hard data becomes available. This conclusion extends the findings of the recent literature. Moreover, when combining forecasts, two weighting schemes are found to outperform the equal weighting scheme in almost all cases. Compared to an AR forecast, these improve by more than 40% the forecast performance for GDP in the current and next quarter.
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The Financial Crisis from a Forecaster’s Perspective
Katja Drechsel, Rolf Scheufele
Abstract
This paper analyses the recession in 2008/2009 in Germany, which is very different from previous recessions, in particular regarding its cause and magnitude. We show to what extent forecasters and forecasts based on leading indicators fail to detect the timing and the magnitude of the recession. This study shows that large forecast errors for both expert forecasts and forecasts based on leading indicators resulted during this recession which implies that the recession was very difficult to forecast. However, some leading indicators (survey data, risk spreads, stock prices) have indicated an economic downturn and hence, beat univariate time series models. Although the combination of individual forecasts provides an improvement compared to the benchmark model, the combined forecasts are worse than several individual models. A comparison of expert forecasts with the best forecasts based on leading indicators shows only minor deviations. Overall, the range for an improvement of expert forecasts during the crisis compared to indicator forecasts is relatively small.
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Exchange Rate Expectations and the Pricing of Chinese Cross-listed Stocks
Stefan Eichler
Journal of Banking and Finance,
Nr. 2,
2011
Abstract
I show that the price discounts of Chinese cross-listed stocks (American Depositary Receipts (ADRs) and H-shares) to their underlying A-shares indicate the expected yuan/US dollar exchange rate. The forecasting models reveal that ADR and H-share discounts predict exchange rate changes more accurately than the random walk and forward exchange rates, particularly at long forecast horizons. Using panel estimations, I find that ADR and H-share investors form their exchange rate expectations according to standard exchange rate theories such as the Harrod–Balassa–Samuelson effect, the risk of competitive devaluations, relative purchasing power parity, uncovered interest rate parity, and the risk of currency crisis.
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Macroeconomic Challenges in the Euro Area and the Acceding Countries
Katja Drechsel
Dissertation, Fachbereich Wirtschaftswissenschaften der Universität Osnabrück,
2010
Abstract
deutscher Titel: Makroökonomische Herausforderungen für die Eurozone und die Beitrittskandidaten
Abstract: The conduct of effective economic policy faces a multiplicity of macroeconomic challenges, which requires a wide scope of theoretical and empirical analyses. With a focus on the European Union, this doctoral dissertation consists of two parts which make empirical and methodological contributions to the literature on forecasting real economic activity and on the analysis of business cycles in a boom-bust framework in the light of the EMU enlargement. In the first part, we tackle the problem of publication lags and analyse the role of the information flow in computing short-term forecasts up to one quarter ahead for the euro area GDP and its main components. A huge dataset of monthly indicators is used to estimate simple bridge equations. The individual forecasts are then pooled, using different weighting schemes. To take into consideration the release calendar of each indicator, six forecasts are compiled successively during the quarter. We find that the sequencing of information determines the weight allocated to each block of indicators, especially when the first month of hard data becomes available. This conclusion extends the findings of the recent literature. Moreover, when combining forecasts, two weighting schemes are found to outperform the equal weighting scheme in almost all cases. In the second part, we focus on the potential accession of the new EU Member States in Central and Eastern Europe to the euro area. In contrast to the discussion of Optimum Currency Areas, we follow a non-standard approach for the discussion on abandonment of national currencies the boom-bust theory. We analyse whether evidence for boom-bust cycles is given and draw conclusions whether these countries should join the EMU in the near future. Using a broad range of data sets and empirical methods we document credit market imperfections, comprising asymmetric financing opportunities across sectors, excess foreign currency liabilities and contract enforceability problems both at macro and micro level. Furthermore, we depart from the standard analysis of comovements of business cycles among countries and rather consider long-run and short-run comovements across sectors. While the results differ across countries, we find evidence for credit market imperfections in Central and Eastern Europe and different sectoral reactions to shocks. This gives favour for the assessment of the potential euro accession using this supplementary, non-standard approach.
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Should We Trust in Leading Indicators? Evidence from the Recent Recession
Katja Drechsel, Rolf Scheufele
Abstract
The paper analyzes leading indicators for GDP and industrial production in Germany. We focus on the performance of single and pooled leading indicators during the pre-crisis and crisis period using various weighting schemes. Pairwise and joint significant tests are used to evaluate single indicator as well as forecast combination methods. In addition, we use an end-of-sample instability test to investigate the stability of forecasting models during the recent financial crisis. We find in general that only a small number of single indicator models were performing well before the crisis. Pooling can substantially increase the reliability of leading indicator forecasts. During the crisis the relative performance of many leading indicator models increased. At short horizons, survey indicators perform best, while at longer horizons financial indicators, such as term spreads and risk spreads, improve relative to the benchmark.
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Globalisation and the Competitiveness of the Euro Area
Filippo di Mauro, Katrin Forster
ECB Occasional Paper Series,
Nr. 97,
2008
Abstract
Against the background of increasing competition and other significant structural changes implied by globalisation, maintaining and enhancing competitiveness has evolved into one of the prime concerns in most countries. Following up on previous work (see in particular ECB Occasional Papers No. 30 and No. 55), this Occasional Paper examines the latest developments and prospects for the competitiveness and trade performance of the euro area and the euro area countries. Starting from an analysis of most commonly used, traditional competitiveness indicators, the paper largely confirms the findings of previous studies that there have been substantial adjustments in euro area trade. Euro area firms have taken advantage of the new opportunities offered by globalisation, and have at the same time been increasingly challenged by emerging economies. This is primarily reflected in the loss of export market shares which have been recorded over the last decade. While these can partly be related to the losses in the euro area's price competitiveness, further adjustment also seems warranted with regard to the export specialisation. Compared with other advanced competitors, the euro area remains relatively more specialised in labour intensive categories of goods and has shown only a few signs of a stronger specialisation in research-intensive goods. Nevertheless, the paper generally calls for a more cautious approach when assessing the prospects for euro area competitiveness, as globalisation has made it increasingly difficult to define and measure competitiveness. Stressing the need to take a broader view on competitiveness, specifically with a stronger emphasis on productivity performance, the paper also introduces a more elaborate framework that takes into account the interactions between country-specific factors and firm-level productivity. It thus makes it possible to construct more broadly defined competitiveness measures. Pointing to four key factors determining the global competitiveness of euro area countries - market accessibility, market size, technological leadership of firms and institutional set-up - the analysis provides further arguments for continuing efforts to increase market integration and strengthen the competitive environment within Europe as a mean of enhancing resource allocation and coping with the challenges globalisation creates.
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Forecasting Currency Crises: Which Methods signaled the South African Crisis of June 2006?
Tobias Knedlik, Rolf Scheufele
South African Journal of Economics,
2008
Abstract
In this paper we test the ability of three of the most popular methods to forecast South African currency crises with a special emphasis on their out-of-sample performance. We choose the latest crisis of June 2006 to conduct an out-of-sample experiment. The results show that the signals approach was not able to forecast the out-of-sample crisis correctly; the probit approach was able
to predict the crisis but only with models, that were based on raw data. The Markov-regime- switching approach predicts the out-of-sample crisis well. However, the results are not straightforward. In-sample, the probit models performed remarkably well and were also able to detect, at least to some extent, out-of-sample currency crises before their occurrence. The recommendation is to not restrict the forecasting to only one approach.
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Deeper, Wider and More Competitive? Monetary Integration, Eastern Enlargement and Competitiveness in the European Union
Gianmarco Ottaviano, Daria Taglioni, Filippo di Mauro
ECB Working Paper,
Nr. 847,
2008
Abstract
What determines a country’s ability to compete in international markets? What fosters the global competitiveness of its firms? And in the European context, have key elements of the EU strategy such as EMU and enlargement helped or hindered domestic firms’ competitiveness in local and global markets? We address these questions by calibrating and simulating a conceptual framework that, based on Melitz and Ottaviano (2005), predicts that tougher and more transparent international competition forces less productive firms out the market, thereby increasing average productivity as well as reducing average prices and mark-ups. The model also predicts a parallel reduction of price dispersion within sectors. Our conceptual framework allows us to disentangle the effects of technology and freeness of entry from those of accessibility. On the one hand, by controlling for the impact of trade frictions, we are able to construct an index of ‘revealed competitiveness’, which would drive the relative performance of countries in an ideal world in which all faced the same barriers to international transactions. On the other hand, by focusing on the role of accessibility while keeping ‘revealed competitiveness’ as given, we are able to evaluate the impacts of EMU and enlargement on the competitiveness of European firms. We find that EMU positively affects the competitiveness of firms located in participating economies. Enlargement has, instead, two contrasting effects. It improves the accessibility of EU members but it also increases substantially the relative importance of unproductive competitors from Eastern Europe. JEL Classification: F12, R13.
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Three methods of forecasting currency crises: Which made the run in signaling the South African currency crisis of June 2006?
Tobias Knedlik, Rolf Scheufele
IWH Discussion Papers,
Nr. 17,
2007
Abstract
In this paper we test the ability of three of the most popular methods to forecast the South African currency crisis of June 2006. In particular we are interested in the out-ofsample performance of these methods. Thus, we choose the latest crisis to conduct an out-of-sample experiment. In sum, the signals approach was not able to forecast the outof- sample crisis of correctly; the probit approach was able to predict the crisis but just with models, that were based on raw data. Employing a Markov-regime-switching approach also allows to predict the out-of-sample crisis. The answer to the question of which method made the run in forecasting the June 2006 currency crisis is: the Markovswitching approach, since it called most of the pre-crisis periods correctly. However, the “victory” is not straightforward. In-sample, the probit models perform remarkably well and it is also able to detect, at least to some extent, out-of-sample currency crises before their occurrence. It can, therefore, not be recommended to focus on one approach only when evaluating the risk for currency crises.
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