Identification of useful patterns in price movement of a stock in stock market needs tremendous analytical skills and effort. Careful analysis of the available technical indicators will help finding the right timing of trading of a stock to maximize the gains. To help investors manage their portfolios, we propose a tool for clustering and classification of stock market data using an unsupervise...

Stock trading is an important decision-making problem that involves both stock selection and asset management. Though many promising results have been reported for predicting prices, selecting stocks, and managing assets using machine-learning techniques, considering all of them is challenging because of their complexity. In this paper, we present a new stock trading method that incorporates dy...

We develop a stock return-predictive measure based on an efficient aggregation of the portfolio holdings of all actively managed U.S. domestic equity mutual funds, and use this model to study the source of fund managers’ stock-selection abilities. This “generalized-inverse alpha” (GIA) approach reveals differences in the ability of managers to predict firms’ future earnings from fundamental res...

An artificial stock market is established with the modeling method and ideas of cellular automata. Cells are used to represent stockholders, who have the capability of self-teaching and are affected by the investing history of the neighboring ones. The neighborhood relationship among the stockholders is the expanded Von Neumann relationship, and the interaction among them is realized through se...

A firm’s announcement that it intends to restructure based on tracking stock is usually associated with a positive stock price reaction, at least in the short run. Typically, this reaction is attributed to expected reductions in a diversification discount, through reduced agency costs or information asymmetries. We reinvestigate this latter hypothesis by focusing on the liquidity provided by ma...

The genetic control of propagation effects and the impact of stock-plant age and source was examined in 9 month-old Pinus radiata cuttings. The cuttings investigated were propagated from stock-plants aged between 2 and 5 years, and microcuttings propagated from 12 week old stock-plants. The design included 20 families, with seven clones per family and an average of seven ramets per clone. Five ...

Bombay Stock Exchange (BSE) Limited, established in 1875 as the Native Share and Stock Brokers' Association is considered to be one of Asia’s fastest stock exchanges and oldest stock exchange in the South Asia region. On 31 August 1957, the BSE became the first stock exchange to be recognized by the Indian Government under the Securities Contracts Regulation Act 1956. In this paper, we develope...

Commercial harvesting is recognized to induce adaptive responses of life-history traits in fish populations, in particular by shifting the age and size at maturation through directional selection. In addition to such evolution of a target stock, the corresponding fishery itself may adapt, in terms of fishing policy, technological progress, fleet dynamics, and adaptive harvest. The aim of this s...

Improving carcass composition is one factor that can have an impact on lamb consumption and demand (Ward, 1995; Purcell, 1998). Increased size of cuts and decreased fatness are two factors that affect consumer acceptability of lamb (Jeremiah et al., 1993). The lamb producer that markets superior carcasses, with greater consumer appeal, expects to realize financial rewards from doing so. The exp...

The selection policies in a breeding program may be considered as a two stage process: the selection of replacement breeding stock based on estimates of each individual's genetic merit, and the choice of which animals to mate together (the mating system). Selecting individuals of high genetic merit is typically considered independently of their potential mates and the mating system, although th...