MAXIMUM LIKELIHOOD ESTIMATION OF FACTOR MODELS ON DATASETS WITH ARBITRARY PATTERN OF MISSING DATA

In this paper we modify the expectation maximization algorithm in order to estimate the parameters of the dynamic factor model on a dataset with an arbitrary pattern of missing data. We also extend the model to the case with a serially correlated idiosyncratic component. The framework allows us to handle efficiently and in an automatic manner sets of indicators characterized by different publication delays, frequencies and sample lengths. This can be relevant, for example, for young economies for which many indicators have been compiled only recently. We evaluate the methodology in a Monte Carlo experiment and we apply it to nowcasting of the euro area gross domestic product. Copyright © 2012 John Wiley & Sons, Ltd.     

Risk Diversification on the Polish Capital Market

The basics of portfolio management theory and methods of efficient selection of assets and their financing have been created by Markowitz and Sharpe. They propose that risk diversification consists, generally speaking, of the increase in the number of securities in a portfolio. So, authors try to answer the question of how many securities have to be bought on a given market to assure a well-diversified portfolio, where the increase in the number of securities does not lead to a significant decrease in portfolio risk. To evaluate such a purpose on the Polish capital market, 20 companies were surveyed that are included in the WIG20 index in the period January 2–October 10, 2001. The returns were estimated on a weekly basis. The research shows that a portfolio of securities constructed, according to the Sharpe Model, has a wide application to the Polish capital market.*University of Szczecin—Poland. This paper was presented at the Fifty-Eighth InternationalAtlantic Economic Conference, October 6Y9, 2005, Chicago, U.S.A.     

Prior symmetry, similarity-based reasoning, and endogenous categorization

This paper presents a rational theory of categorization and similarity-based reasoning. I study a model of sequential learning in which the decision maker infers unknown properties of an object from information about other objects. The decision maker may use the following heuristics: divide objects into categories with similar properties and predict that a member of a category has a property if some other member of this category has this property. The environment is symmetric: the decision maker has no reason to believe that the objects and properties are a priori different. In symmetric environments, categorization is an optimal solution to an inductive inference problem. Any optimal solution looks as if the decision maker categorizes. Various experimental observations about similarity-based reasoning coincide with the optimal behavior in my model.     

The interplay between labor market rigidity and volatility-growth nexus

Using a simple innovation‐driven growth model I investigate to what extent labor market regulations underlie the devastating effects of output volatility on long‐run growth trends. Empirical analysis conducted for 154 countries over the 1996–2005 period shows that an increase from low values of the rigidity of employment index strengthens the influence of volatility on growth. This effect weakens with further increases in rigidity. Hence implementation of labor protection legislation is recommended in economies frequently hit by shocks.     

Metrisable assessment of the course of stream-systemic processes in vector form in industry 4.0

Quality & Quantity - The goal of this paper is to present an innovative conception how to use metrisable vector structure of a manufacturing process, based on quantitative relations between the...     

Toward sustainable corporate behavior: The effect of the critical mass of female directors on environmental,social, and governance disclosure

Boards of directors have recently become more attentive to their stakeholders' concerns, providing more transparent information and adopting more sustainable business strategies. This study investigates the influence of a critical mass of women on boards on the environmental, social, and governance (ESG) disclosure score and its three components separately. Using a sample of the FTSE-MIB listed companies in the 2005–2017 period, we show that reaching a critical mass of female board members—going from one or two women to at least three—enhances the level of ESG disclosure. The results also show that the critical mass of female board members has a positive influence on every component of the ESG score, with the highest contribution of women reaching the governance score. These findings provide insights to shareholders and policymakers and suggest that a critical mass of female board members is particularly effective in improving transparency, and it can be seen as a mechanism to transit to stakeholder governance, fostering more sustainable behavior in firms.     

Optimality and efficiency of incomplete split-block designs

In this paper, a balanced incomplete split-block design (BISBD) is shown to be universally optimum for the estimation of the interaction effects with respect to each of the intra-plot stratum estimation and the GLSE. Furthermore, the efficiency factor of an optimal design is investigated.     

Institutional investors and stock returns volatility: Empirical evidence from a natural experiment

In this paper, we provide empirical evidence on the impact of institutional investors on stock market returns dynamics. The Polish pension system reform in 1999 and the associated increase in institutional ownership due to the investment activities of pension funds are used as a unique institutional characteristic. Performing a Markov-switching-GARCH analysis we find empirical evidence that the increase of institutional ownership has temporarily changed the volatility structure of aggregate stock returns. The results are interpretable in favor of a stabilizing effect on index stock returns induced by institutional investors.     

Limiting Factors of Foreign Direct Investment Undertaken By Polish Enterprises

Limiting factors of foreign direct investment are of great significance for managers, governments, and scholars as they directly influence the profitability of a foreign subsidiary and a parent multinational company. The aim of the paper is to identify FDI limiting factors of host country location choices among Polish enterprises and differences in the perception of the factors depending on the establishment mode choice, i.e. whether it is through greenfield investments or acquisitions. The paper presents results of a field surveyed carried out in 2012–2013 among Polish companies. The research results revealed that regardless of the establishment mode choice, investors from Poland perceived market-related limiting factors as significant. The empirical findings also proved that there were no significant differences in the perception of the importance of FDI limiting factors, between investors who undertook acquisitions and those who decided to make greenfield investments. However, single cases of differences were identified at the level of the policy framework-related factors.