F37 - International Finance Forecasting and Simulation: Models and ApplicationsNávrat zpět

We construct a simple model of exchange rates stemming from the methodology of behavioural equilibrium exchange rate (BEER) models on annual panel data for 34 countries with a floating exchange rate regime during the period 2000-2020. The basic building block of the model is the absolute version of purchasing power parity theory (the ratio of domestic and foreign price levels), further extended by other variables rooted in economic theory. A complementary interpretation of our approach could be a measurement of exchange rate deviations from purchasing power parity caused by variation in economic fundamentals. The results suggest that purchasing power parity is an appropriate reference point for exchange rate models. Furthermore, national currencies tend to be stronger against the euro with higher GDP per capita, interest rates, investment freedom, urbanization rate and terms of trade, and with lower inflation. The presented deviations of exchange rates from the model equilibrium are significantly lower than those implied by a naïve model based on purchasing power parity alone.

The traditional view of international economics is that exchange rate is a leading factor which can strongly affect a country's foreign trade. However, the production fragmentation widespread around the world due to the recent globalization may weaken the role of exchange rate on international trade. As the Czech economy is a very open one, a quantitative knowledge of the impact of exchange rate on export is a valuable information for all actors in the economy. In our contribution, we examine effect of the exchange rate of the Czech crown on domestic export in three macroeconomic models in both short and long run. The first one is a Keynesian model representing the demand for export in the form of marginal propensities. The second one is a VAR model in elasticities of the reduced form. The last one is a structural model resulting from the findings from the previous one. To estimate their parameters, we use quarterly data from 2000 Q1 to 2016 Q1. In all three cases we identify statistically significant impact of exchange rate on export in short-run models.

We study the effects of corruption on firm efficiency using a unique comprehensive dataset of private firms from 10 Central and Eastern European countries for the period from 2002 to 2013. We find that an environment characterized by a high level of corruption has an adverse effect on firm efficiency. This effect is amplified for firms with a lower propensity to behave corruptly, i.e. foreign-controlled firms, while domestically-owned firms are not penalized. At the same time, an environment characterized by considerable heterogeneity in perception of corruption is associated with an increase in firm efficiency.

Cluster Analysis of Jumps on Capital Markets We analyze the behavior and performance of multiple price jump indicators across capital markets and over time. By using high-frequency we perform cluster analysis of price jump indicators that share similar properties in terms of their performance in that they minimize Type I and Type II errors. We show that clusters of price jump indicators do not exhibit equal size. Clusters are stable across stock market indices and time. Detected numbers of price jumps are also stable over time. The recent financial crisis does not seem to affect the overall jumpiness of mature or emerging stock markets. Our results support the stress testing approach of the Basel III. Accords in that the jump component of the volatility process does not need to be treated separately for the purpose of stress testing.