Currency Crisis Prediction Using ADR Market Data: An Options-based Approach
Stefan Eichler, Dominik Maltritz
International Journal of Forecasting,
Nr. 4,
2010
Abstract
During capital control episodes, large price deviations between American Depositary Receipts (ADR) and their underlying stocks signal that a currency crisis is about to occur. We interpret this price spread as the price of a call option. Using option pricing theory we derive detailed information about both the probability of a currency crisis and the expected magnitude of devaluation. Analyzing daily ADR market data preceding the Venezuelan crisis (1996), our approach predicts crisis probabilities of almost 100% and forecasts the exchange rate after floating quite accurately. During the Argentine crisis (2002), the estimated exchange rates are similar to the actual ones.
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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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A First Look on the New Halle Economic Projection Model
Sebastian Giesen, Oliver Holtemöller, Juliane Scharff, Rolf Scheufele
Abstract
In this paper we develop a small open economy model explaining the joint determination of output, inflation, interest rates, unemployment and the exchange rate in a multi-country framework. Our model – the Halle Economic Projection Model (HEPM) – is closely related to studies recently published by the International
Monetary Fund (global projection model). Our main contribution is that we model the Euro area countries separately. In this version we consider Germany and France, which represent together about 50 percent of Euro area GDP. The model allows for country specific heterogeneity in the sense that we capture different adjustment patterns to economic shocks. The model is estimated using Bayesian techniques. Out-of-sample and pseudo out-of-sample forecasts are presented.
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Inflation Expectations: Does the Market Beat Professional Forecasts?
Makram El-Shagi
IWH Discussion Papers,
Nr. 16,
2009
Abstract
The present paper compares expected inflation to (econometric) inflation forecasts
based on a number of forecasting techniques from the literature using a panel of
ten industrialized countries during the period of 1988 to 2007. To capture expected
inflation we develop a recursive filtering algorithm which extracts unexpected inflation from real interest rate data, even in the presence of diverse risks and a potential Mundell-Tobin-effect.
The extracted unexpected inflation is compared to the forecasting errors of ten
econometric forecasts. Beside the standard AR(p) and ARMA(1,1) models, which
are known to perform best on average, we also employ several Phillips curve based approaches, VAR, dynamic factor models and two simple model avering approaches.
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Will There Be a Shortage of Skilled Labor? An East German Perspective to 2015
Herbert S. Buscher, Eva Dettmann, Marco Sunder, Dirk Trocka
IWH Discussion Papers,
Nr. 13,
2009
Abstract
We analyze the supply and demand of skilled labor in an East German federal state, Thuringia. This state has been facing high unemployment in the course of economic transformation and experiences population ageing and shrinking more rapidly than most West European regions. In a first step, we use extrapolation techniques to forecast labor supply and demand for the period 2009-2015, disaggregated by type of qualification. The analysis does not corroborate the notion of an imminent skilled-labor shortage but provides hints for a tightening labor market for skilled workers. In the second step, we ask firms about their appraisal of future recruitment conditions, and both current and planned strategies in the context of personnel management. The majority of firms plan to expand further education efforts and hire older workers. The study closes with policy recommendations to prevent occupational mismatch.
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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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Will Oil Prices Decline Over the Long Run?
Filippo di Mauro, Robert K. Kaufmann, Pavlos Karadeloglou
ECB Occasional Paper Series,
Nr. 98,
2008
Abstract
At present, oil markets appear to be behaving in a fashion similar to that in the late 1970s and early 1980s when oil prices rose sharply over an extended period. Furthermore, like at that time, analysts are split on whether such increases will persist or reverse, and if so by how much. The present paper argues that the similarities between the two episodes are not as strong as they might appear at first sight, and that the likelihood of sharp reversals in prices is not particularly great. There are a number of reasons in support of the view that it is unlikely that the first two decades of this century will mimic the last two decades of the previous century. First, oil demand is likely to grow significantly in line with strong economic growth in non-OECD countries. Second, on the supply side, OPEC is likely to enhance its control over markets over the next two decades, as supply increases in newly opened areas will only partially offset declining rates of production in other geologically mature non-OPEC oil regions. Moreover, while concerns about climate change will spur global efforts to reduce carbon emissions, these efforts are not expected to reduce oil demand. Finally, although there is much talk about alternative fuels, few of these are economically viable at the prices currently envisioned, and given the structural impediments, there is a reduced likelihood that the market will be able to generate sufficient quantities of these alternative fuels over the forecast horizon. The above factors imply that oil prices are likely to continue to exceed the USD 70 to USD 90 range over the long term.
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Flow of conjunctural information and forecast of euro area economic activity
Katja Drechsel, L. Maurin
ECB Working Paper, no. 925,
2008
Abstract
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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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