This article explores Airbnb accommodation spatial distribution and it estimates the main determinants of its location choice. It employs bivariate correlations econometrics to understand heterogeneous relationship between established hotels for three kinds local tourism destinations: sun beach, nature-based, city. The case study concerns Canary Islands where a good mixture these attractions can be found. conclusion drawn is that regulation needs distinguish kind tourism. More precisely,...

Finding the best trading rules is a well-known problem in field of technical analysis stock markets. One option to employ genetic algorithms, as they offer valuable characteristics towards retrieving "good enough" solution timely manner. However, depending on size, their application might not be viable iterative search through multitude possible solutions does take considerable time. Even more so if variety stocks are analysed.In this paper we concentrate enhancement previously published...

This paper investigates the profitability of a simple and very common technical trading rule applied to General Index Madrid Stock Market. The optimal parameter values are found using genetic algorithm. results suggest that, for reasonable costs, is always superior risk-adjusted buy-and-hold strategy.

With the latest developments in area of advanced computer architectures, we are already seeing large scale machines at petascale level and faced with exascale computing challenge. All these require scalability system, algorithmic mathematical model level. In particular, e_cient scalable algorithms required to bridge performance gap. this paper, examples various approaches designing for such architectures will be given. We briefly present our approach Monte Carlo Linear Algebra explain how...

This paper investigates the profitability of a simple and very common technical trading rule applied to General Index Madrid Stock Market. The optimal parameter values are found using genetic algorithm. results suggest that, for reasonable costs, is always superior risk-adjusted buy-and-hold strategy.

Purpose This study aims to explore the use of time series analyses examine changes in travelers’ preferences accommodation features by disentangling seasonal, trend and COVID-19 pandemic’s once-off disruptive effects. Design/methodology/approach Longitudinal data are retrieved online traveler reviews ( n = 519,200) from Canary Islands, Spain, over a period seven years (2015 2022). A analysis decomposes effects six prominent (view, terrace, pool, shop, location room). Findings Single reveal...

Objective Newcomb-Benford’s Law (NBL) proposes a regular distribution for first digits, second digits and digit combinations applicable to many different naturally occurring sources of data. Testing deviations from NBL is used in datasets as screening tool identifying data trustworthiness problems. This study aims compare public available waiting lists (WL) Finland Spain testing an instrument flag up potential manipulation WLs. Design Analysis the frequency Finnish Spanish WLs determine if...

This paper describes an alternative approach to measuring score heterogeneity between online consumer review websites. topic is important in tourism management and the hospitality sector, where it helpful be aware of ratings obtained by services, from information readily available on website. We this issue considering tests multiple population means, assuming question can viewed as a clustering problem that all feasible data configurations tested using Bayesian procedure which posterior...

The increasing availability of open data resources provides opportunities for research and science. It is necessary to develope tools that take advantage the full potential new information resources. In this work we developed package R istacr a collection eurostat functions be able consult discard Eurostat, including retrieve, download manipulate set available through ISTAC BASE API Canary Institute Statistics (ISTAC). addition, A Shiny app was designed responsive visulization data. This...