The stock evaluation process plays an important role in portfolio selection because it is the prerequisite for investment and directly influences on the stock allocation. This paper presents a methodology based on Data Envelopment Analysis for portfolio selection, decision making units which can be stocks or other financial assets. First, DMUs efficiencies are computed based on input/output, an...

us 2008 financial crisis, spreaded out across the international stock markets in the second half of the year 2008. the crisis decreased the returns and increased the volatilities of almost all of the stock indices, however, its effects on iran’s stock markets were unexplored. financial limitations create an exclusive situation in iran’s stock market. using weekly data on the stock indices from ...

An optimal selling strategy for stock trading is presented in this paper. An investor with a long position in one stock decides to close the position before a given time. The investor continuously observes the stock price performance and has to determine the point in time to close out the position (selling strategy) so that the stock price is as close as possible to the maximum price. The proba...

Currently, stock price forecasting is carried out using either time series prediction methods or trend classifiers. The trend classifiers are designed to predict the behaviour of stock price’s movement. Recently, soft computing methods, like support vector machines, have shown promising results in the realization of this particular problem. In this paper, we apply several prototype generation c...

The previous work is carried out on sliding window approach for fragment mining rules which results in large & complex processing the data. In this paper we present an idea to find out association within inter-transaction with different windowing approach. These approaches first minimizes the huge input dataset using tumbling window approach and then apply fragment mining to generate rules amon...

We study the issuance and payout policy that maximizes the value of a firm facing both agency costs of free cash-flow and external financing costs. We find that firms have target cash levels and optimally issue equity when they run out of cash. We characterize the process modelling the number of outstanding shares and the dynamics of the stock prices. In line with the leverage effect identified...

It is difficult to find out which is more effective and accurate method for stock rate prediction so that a buy or sell signal can be generated for given stocks. This paper presents a number of technical indicators and Back Propagation Neural Network to predict the stock price of the day. Stock rate prediction accuracy of different technical indicators and backpropagation neural network has bee...

Bacteria resembling two Bordetella species were isolated from both normal and pneumonic ovine lungs using a selective charcoal agar. Twenty-eight of the 33 isolates showed similarities to stock NCTC B. parapertussis strains in their SDS-PAGE gel protein profiles, in their biochemical reactions and in causing browning on tyrosine agar. Five isolates behaved similarly to stock B. bronchiseptica s...

According to the present value model, the long-run expected return on stocks, stock yield, is the dividend yield on stocks plus a weighted average of expected future growth rates in dividends. We construct a measure of the expected stock yield using the realized dividend yield and a weighted average growth rate proxy from sell-side analysts near-term earnings forecasts. During 1977-2012, this s...

In Taiwan stock market, it has been accumulated large amounts of time series stock data and successful investment strategies. The stock price, which is impacted by various factors, is the result of buyer-seller investment strategies. Since the stock price reflects numerous factors, its pattern can be described as the strategies of investors. In this paper, pattern recognition concept is adapted...