After the banking crisis, the European Union (EU) introduced a framework for the restructuring and orderly liquidation of credit institutions. The overarching goal of the new rules is to manage severe banking crisis more efficiently. One of the main pillars of the European bank resolution regime are the powers of the resolution authorities to use resolution tools (sale of business, bridge bank, bad bank and bail-in). However, the question arises whether the implemented toolkit will be sufficient to effectively contain systemic banking crisis. The literature regarding empirical research on the effectiveness of the BRRD tools provides ambiguous conclusions. Therefore, the newly established resolution authorities in the EU were asked to express their opinion about their readiness to combat systemic crisis and the usefulness of the accessible toolkit. The evaluation of the effectiveness of the resolution tools in a systemic crises by the resolution authorities showed that the most effective resolution tool seems to be the bad bank, while bank liquidation was rated as the least appropriate. Nevertheless, the resolution authorities also identified many barriers for all resolution tools that may limit the ability of their implementation and possibly translate into the lower effectiveness of the resolution framework.
The paper aims at the empirical evaluation of the impact of bank size (as measured by median total assets) on the value relevance of two key accounting variables, i.e. book values of equity and net earnings, in terms of their joint explanatory power in the regression model and the relative responsiveness of bank market values to the changes in those variables. The research is based on the multiple linear regression analysis after controlling for the presence of fixed and random effects. The examined sample covers all domestically-based commercial banks listed on the Warsaw Stock Exchange over the period 1998–2017. The final pooled sample comprises 18 banks and 271 bank-year observations. The findings of the study suggest that the equity investors perceive the joint informational content of book values and earnings of larger banks as more value relevant in comparison to the accounting numbers reported by their smaller peers. The responsiveness of banks’ market values to the changes in each of the explanatory variables seems, however, to be affected by their size in a different way. As expected, book values of equity have turned out to be significantly more informative for smaller banks, whereas the evidence regarding the impact of size on the responsiveness of bank market values to the changes in net earnings is ambiguous. Although larger banks appear to exhibit a higher sensitivity of stock prices to variations in net earnings per share than their smaller peers, the difference between the examined subsamples is not statistically significant.
The correlations and the influence of the monetary policy pursued by the central banks of developed countries, primarily by the Federal Reserve System (the central bank of the United States), on the economies of developing countries is a subject of research, especially since the outbreak of the last financial crisis. Decisions concerning shifts in attitudes in the monetary policy taken by the monetary authorities of the largest economies, influence investors’ behaviour. Due to globalization and financialization, short-term capital flows occur very quickly and on a significant scale. Argentina is an illustration of the consequences of monetary policy tapering by the FRS for the economy of a developing country. Argentina was supported during the period of disturbances by the International Monetary Fund. Nevertheless, it seems that this solution is insufficient in view of the globalization of the effects of the monetary policy pursued by the economically strongest countries.
A traditional frequency analysis is not appropriate for observation of properties of non-stationary signals. This stems from the fact that the time resolution is not defined in the Fourier spectrum. Thus, there is a need for methods implementing joint time-frequency analysis (t/f) algorithms. Practical aspects of some representative methods of time-frequency analysis, including Short Time Fourier Transform, Gabor Transform, Wigner-Ville Transform and Cone-Shaped Transform are described in this paper. Unfortunately, there is no correlation between the width of the time-frequency window and its frequency content in the t/f analysis. This property is not valid in the case of a wavelet transform. A wavelet is a wave-like oscillation, which forms its own “wavelet window”. Compression of the wavelet narrows the window, and vice versa. Individual wavelet functions are well localized in time and simultaneously in scale (the equivalent of frequency). The wavelet analysis owes its effectiveness to the pyramid algorithm described by Mallat, which enables fast decomposition of a signal into wavelet components.
The main objective of this paper is to produce an applications-oriented review covering infrared techniques and devices. At the beginning infrared systems fundamentals are presented with emphasis on thermal emission, scene radiation and contrast, cooling techniques, and optics. Special attention is focused on night vision and thermal imaging concepts. Next section concentrates shortly on selected infrared systems and is arranged in order to increase complexity; from image intensifier systems, thermal imaging systems, to space-based systems. In this section are also described active and passive smart weapon seekers. Finally, other important infrared techniques and devices are shortly described, among them being: non-contact thermometers, radiometers, LIDAR, and infrared gas sensors.