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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FDI and Domestic Investment: An Industry-level View
Claudia M. Buch
CEPR. Discussion Paper No. 6464,
2007
Abstract
Previous empirical work on the link between domestic and foreign investment provides mixed results which partly depend on the level of aggregation of the data. We argue that the aggregated home country implications of foreign direct investment (FDI) cannot be gauged using firm-level data. Aggregated data, in turn, miss channels through which domestic and foreign activities interact. Instead, industry-level data provide useful information on the link between domestic and foreign investment. We theoretically show that the effects of FDI on the domestic capital stock depend on the structure of industries and the relative importance of domestic and multinational firms. Our model allows distinguishing intra-sector competition from inter-sector linkage effects. We test the model using data on German FDI. Using panel cointegration methods, we find evidence for a positive long-run impact of FDI on the domestic capital stock and on the stock of inward FDI. Effects of FDI on the domestic capital stock are driven mainly by intra-sector effects. For inward FDI, inter-sector linkages matter as well.
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Where enterprises lead, people follow? Links between migration and FDI in Germany
Claudia M. Buch, J. Kleinert, Farid Toubal
European Economic Review,
Nr. 8,
2006
Abstract
Standard neoclassical models of economic integration are based on the assumptions that capital and labor are substitutes and that the geography of factor market integration does not matter. Yet, these two assumptions are violated if agglomeration forces among factors from specific source countries are at work. Agglomeration implies that factors behave as complements and that the country of origin matters. This paper analyzes agglomeration between capital and labor empirically. We use state-level German data to answer the question whether and how migration and foreign direct investment (FDI) are linked. Stocks of inward FDI and of immigrants have similar determinants, and the geography of factor market integration matters. There are higher stocks of inward FDI in German states hosting a large foreign population from the same country of origin. This agglomeration effect is confined to higher-income source countries.
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