The heterogeneity of convergence in transition countries

For two groups of post-communist countries (CEE and CIS) we estimated the parameters of convergence equations on the basis of annual data. We depart from standard econometric theory, which involves panel regression techniques. We test cross-country heterogeneity of parameters within a system of Seemingly Unrelated Regression Equations (SURE). We show empirical evidence in favour of the variability of parameters describing the convergence effect and productivity growth rates across countries. Our approach seems a convincing alternative to the panel regression approach where random effects can be estimated, imposing an assumption about the constancy of structural parameters within the group of countries under analysis. We discuss the role of the global financial crisis in the heterogeneity of convergence processes and productivity at the country level. The aforementioned SURE model was estimated based on two datasets, one containing observations prior to the crisis and the second containing the whole sample.     

Technical Analysis as a Rational Tool of Decision Making for Professional Traders

The psychological background of technical analysis usage is investigated to further explain the popularity and common usage of technical analysis as an investment decision tool. Attitudes toward technical analysis of professional futures market traders and neophyte investors, represented by finance students, were examined. Technical analysis is one of the most popular methods supporting investment decisions and it is much more popular among future market traders than among neophyte investors. The concept of processing information was used to explain this phenomenon. Neophyte investors are more experiential and intuition-driven while using technical analysis models, while futures market traders are more rationally driven. Technical analysis methods help professional traders on futures markets, which are less transparent than regulated stock markets, to process information; those methods are perceived by them as rational, cognitive tools supporting their decision making.     

The Small Border Traffic Zone between Poland and Kaliningrad Region (Russia): The Impact of a Local Visa-Free Border Regime

After Poland’s accession to the EU, the Polish-Russian border became the EU external border. This significantly changed its nature and started the new type of cross border relation. Since 2012, when the Small Border Traffic (SBT) zone came into force, the border has changed its blockade function and started instead to be treated as a resource. The fundamental loosening of the border crossing regime reduced the social and functional distance between Poland and Kaliningrad, and in a broader sense between EU and Kaliningrad. This paper will try to show how small but meaningful initiative, the SBT, has had an impact on cross-border region. The present paper will describe the relationship between larger geopolitical actors and how they affect local border relations. The aim of this paper is to present phenomenon of new visa regime at the Polish-Russian border. The paper likewise describes the impact of the SBT on local communities and their economies, as well as national relations between adjacent countries. The analysis is based on the interviews and surveys conducted in the Polish-Russian border region in late 2014.     

Fiscal tensions and risk premium

Empirica - The main goal of the paper is to analyse one-dimensional, isolated impact of particular variables which are used in the literature as explanatory variables for risk premium following...     

Urban Geographies of Hesitant Transition: Tracing Socioeconomic Segregation in Post‐Ceauşescu Bucharest

Scholars have raised concerns about the social costs of the transition from state socialism to capitalism in Central and Eastern Europe, and geographers are particularly interested in the spatial expressions and implications of these costs, including apparently increasing residential segregation. Applying a range of segregation measures to 1992 and 2002 census data, this contribution studies socio‐occupational residential segregation in Bucharest. The conclusion is that Bucharest was relatively socio‐spatially mixed at both times; in fact, a modest, yet fully legible, decreasing overall trend is observable. This is at odds with many popular assumptions of the past 20 years.     

A look into the factor model black box: Publication lags and the role of hard and soft data in forecasting GDP

We derive forecast weights and uncertainty measures for assessing the roles of individual series in a dynamic factor model (DFM) for forecasting the euro area GDP from monthly indicators. The use of the Kalman smoother allows us to deal with publication lags when calculating the above measures. We find that surveys and financial data contain important information for the GDP forecasts beyond the monthly real activity measures. However, this is discovered only if their more timely publication is taken into account properly. Differences in publication lags play a very important role and should be considered in forecast evaluation.     

Partial privatisation: The caveats and expriences

Partial privatisation, in which a more or less large number of residul shareholdings remain in the hands of the state, is a widespread phenomenon in the countries of Central and Eastern Europe. The following paper compares experiences in Poland with those of the UK, where there has been extensive privatistion of public utilities in the last 20 years, and concludes with some policy recommendations for the transforming countries. The original version of this paper was commissioned by the OECD and presented at its workshop on Management and Sale of Residual Shareholdings, Berlin, Germany, May 1996.     

Can banks default overnight? Modelling endogenous contagion on the O/N interbank market

We propose a new model of the liquidity-driven banking system focusing on overnight interbank loans. This significant branch of the interbank market is commonly neglected in the banking system modelling and systemic risk analysis. We construct a model where banks are allowed to use both the interbank and the securities markets to manage their liquidity demand and supply as driven by prudential requirements in a volatile environment. The network of interbank loans is dynamic and simulated every day. We show how the intrasystem cash fluctuations alone, without any external shocks, may lead to systemic defaults, and what may be a symptom of the self-organized criticality of the system. We also analyze the impact of different prudential regulations and market conditions on the interbank market resilience. We confirm that the central bank’s asset purchase programmes, limiting the declines in government bond prices, can successfully stabilize banks’ liquidity demands. The model can be used to analyze the interbank market impact of macroprudential tools.     

Selection of a Representative Value Function for Robust Ordinal Regression in Group Decision Making

In this paper, we introduce the concept of a representative value function in a group decision context. We extend recently proposed methods UTA^GMS-GROUP and UTADIS^GMS-GROUP with selection of a compromise and collective preference model which aggregates preferences of several decision makers (DMs) and represents all instances of preference models compatible with preference information elicited from DMs. The representative value function is built on results of robust ordinal regression, so its representativeness can be interpreted in terms of robustness concern. We propose a few procedures designed for multiple criteria ranking, choice, and sorting problems. The use of these procedures is conditioned by both satisfying different degrees of consistency of the preference information provided by all DMs, as well as by some properties of particular decision making situations. The representative value function is intended to help the DMs to understand the robust results, and to provide them with a compromise result in case of conflict between the DMs.