The paper deals with maritime risk, which we consider important, no doubt, for ship-owners acting in volatile markets. Traditionally, risk is measured by "standard deviation". Other risk measures like "excess kurtosis", "excess skewness", "long-term dependence" and the "catastrophe propensity"...

In this paper we show the results achieved by integrating Six Sigma, discrete simulation techniques and multi-criteria techniques for improving a beauty service that desires to obtain the best compromise solution between incomes, costs, use of resources and customer satisfaction. DMAIC...

This paper features an analysis of cryptocurrencies and the impact of the COVID-19 pandemic on their effectiveness as a portfolio diversification tool and explores the correlations between the continuously compounded returns on Bitcoin, Ethereum and the S&P500 Index using a variety of parametric...

Exposure to market risk is a core objective of the Capital Asset Pricing Model (CAPM) with a focus on systematic risk. However, traditional OLS Beta model estimations (Ordinary Least Squares) are plagued with several statistical issues. Moreover, the CAPM considers only one source of risk and...

Cryptocurrencies such as Bitcoin rely on a proof-of-work system to validate transactions and prevent attacks or double-spending. A new proof-of-work is introduced which seems to be the first number theoretic proof-of-work unrelated to primes: it is based on a new metric associated to the Collatz...

Filtering has had a profound impact as a device of perceiving information and deriving agent expectations in dynamic economic models. For an abstract economic system, this paper shows that the foundation of applying the filtering method corresponds to the existence of a conditional expectation...

In machine learning and data science literature, clustering is the task of dividing the observations (data points) into several categories in such a way that data points falling into one group are being dissimilar than the data points falling to the other groups such that the variation within a...

The aim of this presentation is to develop a composite indicator, which should be consistent and reliable, to evaluate the physiological conditions of a group of patients on dialysis therapy. The composite indicators are developed based on key performance indicators. They have the advantage of...

In Mexico the National Institute of Statistic and Geography (INEGI) publishes a monthly indicator of business confidence (ICE) for various economic sectors using the Monthly Survey of Business Opinion (EMOE). In the present work reference is made only to the construction segment as it is one of...

The assessment of tourism potential allows delimiting the attractiveness of tourism destinations, constituting the basis for the design of tourism products and experiences. To date, several studies have been conducted to measure destination attractiveness from a synthetic approach. However,...