The existence of memory in financial time series has been extensively studied for several stock markets around the world by means of different approaches. However, fixed income markets, i.e. those where corporate and sovereign bonds are traded, have been much less studied. We believe that, given the relevance of these markets, not only from the investors', but also from the issuers' point of view (government and firms), it is necessary to fill this gap in the literature. In this paper, we study the sovereign market efficiency of thirty bond indices of both developed and emerging countries, using an innovative statistical tool in the financial literature: the complexity-entropy causality plane. This representation space allows us to establish an efficiency ranking of different markets and distinguish different bond market dynamics. We conclude that the classification derived from the complexity-entropy causality plane is consistent with the qualifications assigned by major rating companies to the sovereign instruments. Additionally, we find a correlation between permutation entropy, economic development and market size that could be of interest for policy makers and investors.

Purpose The purpose of this paper is to organize and present the literature related to firm’s capital structure across the years and find the most relevant publications and authors in the research area. Moreover, the authors pretend to fill the gap in the literature by studying different works and their compatibility with the main theories. Design/methodology/approach The systematic literature review is conducted by using the Scopus database. The methodology applied is through a concise searching considering keywords, the most cited papers, the latest publications and theories that explain small and medium enterprises (SMEs) capital structure. Findings Some key aspects about the capital structure of firms and SMEs are identified, such as documents per year, type of publications, the most used languages, the top journals, the most cited papers, the most productive and influential authors and the latest published papers. Research limitations/implications The information presented is only informative from the Scopus database. Hence, this work only gives a general orientation of the most relevant research and its tendency of this database. More exhaustive works could be done using different keywords and analyzing other firms’ characteristics. Practical implications This kind of study is effective in evaluating the scientific production and to find the most important contributions of the subject. Furthermore, this information is useful for researchers’ studies on SME capital structure to underline the research direction and to be acquainted with the literature tendency. Originality/value There are not similar works that delve into the literature respect to SME capital structure and compare the main theories in relation to empirical works. Therefore, a synthesized evolution of previous works related to the capital structure of firms and SMEs is presented.

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This paper analyzes Libor interest rates for seven different maturities and referred to operations in British Pounds, Euro, Swiss Francs and Japanese Yen, during the period years 2001 to 2015. The analysis is performed by means of two quantifiers derived from Information Theory: the permutation Shannon entropy and the permutation Fisher information measure. An anomalous behavior in the Libor is detected in all currencies except Euro during the years 2006-2012. The stochastic switch is more severe in 1, 2 and 3 months maturities. Given the special mechanism of Libor setting, we conjecture that the behavior could have been produced 1 by the manipulation that was uncovered by financial authorities. We argue that our methodology is pertinent as a market overseeing instrument.

This paper analyzes several interest rates time series from the United Kingdom during the period 1999 to 2014. The analysis is carried out using a pioneering statistical tool in the financial literature: the complexityentropy causality plane. This representation is able to classify different stochastic and chaotic regimes in time series. We use sliding temporal windows to assess changes in the intrinsic stochastic dynamics of the time series. Anomalous behavior in the Libor is detected, especially around the time of the last financial crisis, that could be consistent with data manipulation.