ElsevierCervelló Royo, RE.; Guijarro Martínez, F.; Michniuk, K. (2015).
AbstractThis study introduces a new approximation of the flag price pattern recognition. We develop a trading rule which provides positive risk-adjusted returns for intraday data of the Dow Jones Industrial Average Index. In order to mitigate the data snooping problem we use a data set of more than 90,000 observations, results are reported over 96 different configurations of the trading rule parameters. Furthermore, results are examined over 3 non-overlapping sub-periods. The trading rule provides positive results for all the configurations.
To identify the combinations of the economic and social aspects related to female entrepreneurship in OECD countries, we carried out a cross-national analysis of female entrepreneurship using fsQCA methodology. We analyzed 2015 data from 29 OECD countries, covering different geographical areas. Data were retrieved from three databases (Global Entrepreneurship Monitor, Country Risk Score, and Glass Ceiling Index) and the relationship between entrepreneurship by gender and the conditions in a country were studied, especially those socially related to gender under female labor working conditions. The results show that the combination of good country risk score conditions and the low presence of women in power positions is related to high female entrepreneurship and low gender labor-force gap. By contrast, low female entrepreneurship is reached through a combination of high gender labor-force and wage gaps.
PurposeThis paper aims to present a focus for identifying the convergence between the theory of the intellectual capital of nations and that of the National Systems of Innovation from the literature of innovation systems, with the aim of providing a more robust theoretical framework to explore the drivers of intangibles and the policies which foster competitiveness through the development of the national intellectual capital platforms.Design/methodology/approachSelecting 28 indicators which best fit the analyzed theoretic principles and taking into account the member countries of the European Union as a sample (15) with the data taken from the IMD, a simple analysis of the seven‐year (2000‐2006) window was carried out to compare the intangibles pointed out in the two aforementioned perspectives.FindingsThe homogeneity of the results using models of measurement of intellectual capital of countries with those obtained through the models of the National Systems of Innovation prove the considerable convergence between these two theoretic fields, validating the hypotheses proposed in the study.Research limitations/implicationsThe system provided is not an exhaustive use of all the available measures and countries. A more comprehensive practical application on more countries and indicators would be necessary to validate the model.Practical implicationsThe study has implications for the business, politicians and academia. The study opens new lines of research in the sense that it advocates a theoretical approximation and the integration of the abundant literature on the National Systems of Innovation as basic drivers to explain the intangibles at a macro level, their management and politics related to the maintaining and renewal of said assets of intellectual capital.Originality/valueTo the best of the authors' knowledge, so far no study analyzing this convergence has been designed or published. This paper extends and adds robustness to the national IC measurement model to help policymakers and scholars.
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