Search results for "stock market"
showing 10 items of 159 documents
Régimen disciplinario en la ley del mercado de valores
2017
[ES] Según la legislación vigente, tendrán la consideración de infracciones, por acción o por omisión, las conductas o comportamientos derivados del incumplimiento de de determinados requisitos, conductas o imposiciones tales como la de reserva de actividad y/o de la obligación de obtener autorizaciones exigidas, entre otras. Más concretamente, el régimen jurídico de las infracciones y sanciones viene recogido en el Título VIII del RD Lg. 4/2015, de 23 de octubre, que aprueba el TR la Ley del Mercado de Valores (en adelante LMV 15), bajo la rúbrica del Régimen de supervisión, inspección y sanción. El presente trabajo tiene como objeto el estudio del sistema que así se configura en materia d…
A fuzzy ranking strategy for portfolio selection applied to the Spanish stock market
2007
In this paper we present a fuzzy ranking procedure for the portfolio selection problem. The uncertainty on the returns of each portfolio is approximated by means of a trapezoidal fuzzy number. The expected return and risk of the portfolio are then characteristics of that fuzzy number. A rank index that accounts for both expected return and risk is defined, allowing the decision-maker to compare different portfolios. The paper ends with an application of that fuzzy ranking strategy to the Spanish stock market.
Prediction of stock index futures prices based on fuzzy sets and multivariate fuzzy time series
2015
Abstract This paper makes a prediction of Chinese stock index (CSI) future prices using fuzzy sets and multivariate fuzzy time series method. We select Chinese CSI 300 index futures as the research object. The fuzzy time series model combines the fuzzy theory and the time series theory, thus this model can solve the fuzzy data in stock index futures prices. This paper establishes a multivariate model and improves the accuracy of computation. By combing traditional fuzzy time series models and rough set method, we use fuzzy c-mean algorithm to make the data into discrete. Further more, we deal with the rules in mature modules of the rough set and then refine the rules using data mining algor…
A Cluster Analysis of Stock Market Data Using Hierarchical SOMs
2016
The analysis of stock markets has become relevant mainly because of its financial implications. In this paper, we propose a novel methodology for performing a structured cluster analysis of stock market data. Our proposed method uses a tree-based neural network called the TTOSOM. The TTOSOM performs self-organization to construct tree-based clusters of vector data in the multi-dimensional space. The resultant tree possesses interesting mathematical properties such as a succinct representation of the original data distribution, and a preservation of the underlying topology. In order to demonstrate the capabilities of our method, we analyze 206 assets of the Italian stock market. We were able…
Autonomous Operation of Stationary Battery Energy Storage Systems—Optimal Storage Design and Economic Potential
2021
Global warming requires a changeover from fossil fuel based to renewable energy sources on the electrical supply side and electrification of the demand side. Due to the transient nature of renewables and fluctuating demand, buffer capacities are necessary to compensate for supply/demand imbalances. Battery energy storage systems are promising. However, the initial costs are high. Repurposing electric vehicle batteries can reduce initial costs. Further, storage design optimization could significantly improve costs. Therefore, a battery control algorithm was developed, and a simulation study was performed to identify the optimal storage design and its economic potential. The algorithm used is…
Predictable Dynamics in the Small Stock Premium
2014
We start this paper by providing a detailed study of how the mean monthly return on the Small-Minus-Big (SMB) Fama-French factor is affected by the January effect and the stock market return during the preceding month and preceding calendar year. We then proceed to building a predictive model for the monthly SMB factor return that incorporates the January effect and the dependence on both the market return during the preceding month and preceding calendar year. Our findings suggest that a positive small stock premium appears mainly during the years following the years with a negative return on the market as the result of a delayed and stronger reaction of small stocks to good news and a str…
Calendar Anomalies in Stock Index Futures
2011
There exist a large and increasing number of papers that describe different calendar anomalies in stock markets. Although empirical evidence suggests that seasonal effects disappeared after the early 1990s, new studies and approaches assert the continuation of some anomalies in stock indexes. In this paper, we present a comprehensive study of 188 possible cyclical anomalies in S&P 500, DAX and Nikkei stock index futures contracts from 1991 to 2008. Frictions in futures markets, unlike spot markets frictions, make it feasible to produce economically significant profits from trading rules based on calendar effects. By applying a percentile-t-bootstrap and Monte Carlo methods, our analysis rev…
Law of Finance: Evidence from Finland
2003
Although it is widely acknowledged that the benefits of corporate governance reform could be substantial, systematic evidence on such reforms is scant. We both document and evaluate a contemporary corporate governance reform by constructing 18 measures of shareholder and creditor protection for Finland for the period 1980-2000. The measures reveal that shareholder protection has been strengthened whereas creditor protection has been weakened. We also demonstrate how the reform is consistent with a reorganisation of the Finnish financial market in which a bank-centred financial system shifted from relationship-based debt finance towards increasing dominance by the stock market. We find evide…
RELEVANCE OF CORPORATE SOCIAL RESPONSIBILITY INDICATORS FOR MEASURING FINANCIAL PERFORMANCE
2013
Clarifying the impact of corporate social responsibility on the economic and/or financial performance of the firm has been the subject of numerous studies, which focus on the nature of the interaction between the ability of companies to achieve a high level of corporate social responsibility on the one hand, and financial performance, on the other. The paper aims to contribute to the literature in this field by studying the relevance of stock exchange indexes built on the principles of corporate social responsibility as a tool to measure the financial performance of firms that adopt corporate social responsibility as manner of approach to business.
Stock Market Bubbles and Monetary Policy Effectiveness
2016
In this paper we provide evidence on the response of stock prices to monetary policy shocks, but conditioning the analysis to the direction of the monetary policy surprises and to the business conditions. We follow a two steps approach: First we use the SVAR approach to identify monetary policy shocks; and then we conduct regression analyses of contemporary stock market returns and monetary policy shocks in order to extract the implicit relationship between these variables in the four scenarios defined. Our results show that monetary policy do not impact on stock market returns in a significant form in the scenario defined by a positive shock and an expansion period, coinciding the poor eff…