P22 - Socialist Systems and Transitional Economies: PricesReturn

When there is bad news hoarding from managers, returns of stocks are no longer efficient. We hypothesize that a proxy for efficient returns predicts stock price bubbles, crashes and crash risk. We find evidence in support of our hypotheses. Lagged price efficiency significantly predicts bubbles, crashes and crash risk in multivariate linear regressions and logit regressions, as predicted by our hypotheses. We also find that the lagged probability of bubbles is only correlated with future returns. In contrast, the lagged probability of crashes is correlated with both future returns and fundamental values of stocks. This result validates our explanation for the formation of bubbles and crashes. Finally, the out-of-sample accuracy ratio of our bubble and the crash prediction model is higher than in previous studies. Our results provide alternative explanations of the mechanics of stock price bubbles and crashes and are helpful for academicians, investors and policymakers.

The article analyses the process of nominal convergence of the new EU member states (NMS) with particular attention paid to some applied and theoretical aspects, which may have impact on the process of the euro adoption. Chapter two addresses selected theoretical and methodological issues connected with the International Comparison Project (ICP). It discusses determinants and influences affecting price level convergence and some issues that have set off new trends, such as the globalization or process of the on-going European integration. This chapter also presents a brief summary of the main trends of price convergence observed by focusing on changes of comparative price levels (CPL) for various disaggregated items of GDP. It also deals with potential issues and problems arising in this context. Chapter three is aimed at an empirical verification of price convergence and at a search for main driving factors using data for the NMS and the old EU member states over 11 years (1995-2006). There are some differences in results depending on the applied econometric method. The most important determinants of price level are GDP and population, the openness and public finance's indicators are not significant. The last section summarises the main findings.