Temporal optimisation of signals emitted automatically by securities exchange indicators

Stock exchange indicators deliver buy/sell signals that enable analysts to improve the results of a strategy based strictly on fundamental analysis. Nonetheless, since the automatic implementation of signals as they appear may not yield optimal returns, the present paper analysed the suitability of using a series of technical indicators as guidance for portfolio results. A second aim pursued was to study how delaying the implementation of indicator signals may enhance profitability. A simulation was performed for the years 2005-2016 using the most representative index for the Spanish stock exchange, the IBEX35 and all its constituent securities, along with seven indicators (RoC, RSI, SMA, EMA, MACD, Bollinger bands and Stochastic Oscillator) and a total of 81 combinations of buy/sell lag times. The definition of three non-overlapping sub-periods to guarantee the reliability of the findings yielded a total of 61 236 simulated portfolios. The conclusion drawn from the results was that for certain combinations of indicators, delaying the implementation of buy/sell signals improves returns. More specifically, optimal lag times identified for RSI and EMA signals were shown to deliver statistically significant improvements in portfolio returns, irrespective of the period studied. Those findings were consistent the results of an alternative simulation in which the five securities that were both the most liquid and had the greatest impact on the index were not considered, to rule out the possible effect of the relative weight of securities on either portfolio returns or their normalisation.

Hybrid fuzzy neural network versus backpropagation neural network: An application to predict the Ibex-35 index stock

The use of neural networks has been extended in all areas of knowledge due to the good results being obtained in the resolution of the different problems posed. The prediction of prices in general, and stock market prices in particular, represents one of the main objectives of the use of neural networks in finance. This paper presents the analysis of the efficiency of the hybrid fuzzy neural network against a backpropagation type neural network in the price prediction of the Spanish stock exchange index (IBEX-35). The paper is divided into two parts. In the first part, the main characteristics of neural networks such as hybrid fuzzy and backpropagation, their structures and learning rules are presented. In the second part, the prediction of the IBEX-35 stock exchange index with these networks is analyzed, measuring the efficiency of both as a function of the prediction errors committed. For this purpose, both networks have been constructed with the same inputs and for the same sample period. The results obtained suggest that the Hybrid fuzzy neuronal network is much more efficient than the widespread backpropagation neuronal network for the sample analysed.

Análisis de los tipos de acoso y discriminación recogidos en los códigos de conducta de las empresas cotizadas en la Bolsa española en el mercado continuo a 31-12-2015/Analysis of the types of harassment and discrimination included in the codes of conduct

En este trabajo se analizan los diferentes tipos de acoso y discriminación recogidos en los códigos éticos de las empresas cotizadas en la Bolsa española a 31-12-2015. Los resultados muestran que las empresas incluyen una amplia variedad de tipos de acoso y discriminación en su código de conducta, entre los que destaca el rechazo a la discriminación por razón de sexo. Asimismo, el análisis por sectores pone de manifiesto que en todos los sectores no se da la misma importancia a los diferentes tipos de acoso y discriminación. Abstract In this paper we analyze the different types of harassment and discrimination included in the ethical codes of companies listed on the Spanish Stock Exchange on 12/31/2015. The results show that companies include a wide variety of types of harassment and discrimination in their code of conduct, among which the rejection of discrimination based on sex stands out. Likewise, the analysis by sectors shows that in all sectors, the different types of harassment and discrimination are not given the same importance.

Retrenchment Strategies and Family Involvement: The Role of Survival Risk

This article analyzes retrenchment strategies that family businesses adopt during periods of crisis. From a socioemotional wealth perspective, we propose that the influence of family board members and family CEOs on retrenchment depends on survival risk. We collected empirical data from companies on the Spanish Stock Exchange (2008-2012). Our findings reveal that family involvement intensifies retrenchment when performance is declining, and that retrenchment intensifies when survival is at risk. We also demonstrate that family firms are able to implement retrenchment measures when required to improve their performance.

Managerial change and strategic change: The temporal sequence

The relationship between managerial change and strategic change is a complex issue that challenges our understanding of how firms react to their business environment. In this study, we analyse the influence of the management team and more specifically their knowledge and capabilities in the process of strategic change. To do so, we delve deeper into the relationship between managerial change and strategic change by identifying the sequence of these changes. Using qualitative methodology, we analyse 10 companies listed on the Spanish Stock Exchange over an extensive period to formulate our propositions. Our analysis shows that managerial change precedes strategic change. Top management team reorganization, even without Chief Executive Officer succession, was a sufficient condition for strategic change to take place. Moreover, we identified key modifications that took place whenever strategic change occurred. Our results provide meaningful insights into the processes of strategic change within firms that broaden our theoretical knowledge in this area.