Entropy is a powerful tool for the analysis of time series, as it allows describing the
probability distributions of the possible state of a system, and therefore the information …

This study conducts a systematic survey on whether the pricing behavior of cryptocurrencies
is predictable. Thus, the Efficient Market Hypothesis is rejected and speculation is feasible …

We compare the time-varying weak-form efficiency of Bitcoin prices in terms of US dollars
(BTCUSD) and euro (BTCEUR) at a high-frequency level by using permutation entropy. We …

We examine the impact of COVID-19 pandemic crisis on the pricing efficiency and
asymmetric multifractality of major asset classes (S&P500, US Treasury bond, US dollar …

Although spatial heterogeneity and spatial dependence are two cornerstones of spatial
econometrics, models and methods for dealing at the same time with both issues are still …

Despite the rise in markets for cryptocurrencies at an outstanding pace, with consistently
high trading volume and market capitalization, the increasing volatility of the virtual …

This paper operationalizes the idea of a local indicator of spatial association for the situation
where the variables of interest are binary. This yields a conditional version of a local join …

The paper discusses the standard approaches in constructing the spatial weights matrix, W,
and the implications of using such approaches in terms of the potential mis-specification of …

This study undertakes the challenging task of comparing the weak form efficiency of
conventional and Islamic equity markets. Using 12 different Dow Jones indexes that cover …

When it comes to characterize the distribution of 'things' observed spatially and identified by
their geometries and attributes, the Shannon entropy has been widely used in different …