Pension systems are usually evaluated from the perspective of two basic criteria: pension adequacy and financial sustainability. The first criterion concerns the level of pension benefits and protection of the elderly from poverty. The second criterion applies to financial liquidity. This paper is primarily of methodological nature. We discuss the problem of measuring pension adequacy, focusing mainly on the replacement rate, which, defined in a number of ways, is the most common measure of pension adequacy. However, as we argue in this paper, it covers only one of its dimensions, namely consumption smoothing. Meanwhile, an equally important dimension, often discussed in the literature and included in most definitions of pension adequacy, is protection of old-age pensioners from poverty. Accordingly, we have proved the thesis that the replacement rate is not a sufficient measure of broadly understood pension adequacy in cross-country studies. Consequently, we have proposed alternative (or possibly complementary) measures called the synthetic pension adequacy indicators (SPAI1-3), defined in basic form as a quotient of relative median income and the at-risk-of-poverty rate. These indicators provide for both the above-mentioned dimensions of adequacy and, according to statistical analysis, also represent them very well. Moreover, the indicators, calculated separately for men and for women, enables evaluation of the third dimension of pension adequacy, namely gender-related differences in pension adequacy.
This paper presents and compares 15 trading systems constructed for the Warsaw Stock Exchange futures contracts. These trading systems are constructed applying technical analysis and artificial neural networks (ANN). The efficiency of constructed trading systems is measured by the profit, which could be gained on the analyzed market when an investor uses various methods of buy and sell signals generating. Investigation is conducted for daily observations of stock index WIG20 futures from December 1, 1999 to November 28, 2003. The conclusion is that the combination of the technical analysis and artificial intelligence in order to gain profit from trading on the Polish futures market can bring much better investment results than trade in the traditional way (JEL G10, C45). Copyright International Atlantic Economic Society 2005G10, C45,
The study attempts to assess the effects of lifting short sale restrictions on the Warsaw Stock Exchange in terms of futures pricing efficiency. The approach implemented in the article involves evaluation and comparison of the mispricing series of the WIG20 index futures listed on the WSE, in a one-year time span before and after the regulatory change introduced in 2010. The results show that lifting short sale constraints has increased the efficiency of the Polish futures market. There was a decline both in the number of mispricing occurrences, and in the mean level and dispersion of deviations from the fair values, especially with regard to underpriced contracts series. The study reveals that, in contrast to the pre-event period, after the regulatory change the arbitrage opportunities were virtually absent for investors bearing the highest transaction costs.
In this paper, we attempt to incorporate an innovative and more comprehensive view of defamilization into the comparative analysis of real-type welfare state models. The study presents four empirically distinguished welfare state regimes where we consider separately both notions associated with (de)familization and (de)genderization together with other dimensions characterizing different welfare state models. In a multivariate statistical analysis framework, we examine 25 European countries using data covering the period between 2014 and 2017. Our findings suggest that whereas Southern European countries represent various welfare state models, most of the analyzed Central and Eastern European countries form a separate group. Similarly, the Nordic countries, except Iceland, belong to the same cluster. However, CEE countries and Nordic countries represent extremely divergent models in terms of the degree of degenderization, but similar in terms of family policy, the public-private mix, as well as welfare state generosity. The data also show that the extensive welfare state coexists with the state's predominance in delivering welfare provisions. Moreover, we demonstrate that neither the general size of the welfare state or its public-private mix nor a pro-family policy differentiate the socio-economic situation of women across countries studied.
The study provides some quantitative information on voluntary pension plans in 10 CEE countries obtained from various local sources. The comparative analysis shows that there is a considerable variation in this group in terms of participation and contributions to the voluntary pension plans. In addition, this study empirically examines several factors that can possibly affect the development of voluntary pensions: income per capita and poverty rate, income inequality, replacement rate from the pension system, education attainment, interest rate and demographic burden. It uses a panel regression framework for the period of 2006-2014. The results reveal that, in the case of participation in voluntary pension plans, only income level per capita is associated with a greater number of pension plan members. As far as contributions are concerned, education seems to be the most important determinant of additional pension savings. Other factors do not seem to explain well both of the studied variables reflecting the development of voluntary pension schemes. However, as individual fixed effects are proven to be significant in the estimated models, one could conclude that country-specific characteristics play a significant role in explaining the development of voluntary pension schemes. They can be referred to the design and parametric settings of the non-mandatory pension system.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.