In this paper, we shall compare the average volatility that characterises the main stablecoin design types with a view to answering the question of whether all stablecoin designs accomplish the goal of minimising their price fluctuations to the same degree. Our research is motivated by the lack of rigorous studies comparing volatility of different stablecoin types stressed in the literature as well as the practical importance of such a comparison from the investors’ viewpoint. We opted for a standard volatility measure, i.e., standard deviation of return rates, corrected it for autocorrelation, and detected differences between distributions of the measure in three stablecoin groups using various non-parametric tests, i.e., the Kruskal–Wallis test, the bootstrap F-test, post-hoc tests and non-parametric contrasts. We proved that stablecoins do not deliver equally on the promise to provide stable market value with tokenised funds being leaders. Tokenised funds design involves complete coverage of the stablecoin supply in units of the currency of reference as well as great dependence on the trusted third-party acting as a trustee for the collateral. Our study reveals that existing complex stablecoins designs hardly compete with this simple design in terms of volatility.

This article deals with the emerging topic of stablecoins, which is an umbrella term used to refer to a stable cryptocurrency. The authors shall address a number of questions, namely: what are stablecoins; when are they used; what are the most common characteristics of stablecoins. The authors shall also present a taxonomy of stablecoins based on the mechanism employed to stabilize their value. A more thorough exploration of the market for stablecoins will follow, with particular attention given to the controversies surrounding the most popular of stablecoins – Tether.

This paper is aimed at presenting application of bootstrap interval estimation methods to the assessment of financial investment’s effectiveness and risk. At first, we give an overview of various methods of bootstrap confidence interval estimation, i.e. bootstrap-t interval, percentile interval and BCa interval. Then, bootstrap confidence interval estimation methods are used to estimate confidence intervals for the Sharpe ratio and TailVaR of the Warsaw Stock Exchange sectoral indices. The results show that the bootstrap confidence intervals of different types are quite similarly positioned for each of the analysed index and measure. Taking into the account the locations of confidence intervals for both the Sharpe ratio and TailVaR, the real estate sector tends to be the most advantageous from the investor’s viewpoint.

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Opracowanie włącza się w nurt rozważań nad możliwościami redukcji emisji gazów cieplarnianych z sektorów nieobjętych Europejskim Systemem Handlu Emisjami. W artykule poddano pod dyskusję zasadność poszczególnych rozwiązań w zakresie ewentualnego włączenia do Europejskiego Systemu Handlu Emisjami trzech sektorów znajdujących się poza nim, tj. transportu, rolnictwa i użytkowania budynków. Zastosowane metody badawcze obejmują elementy analizy opisowej i porównawczej.