In this study, we utilize the genetic algorithm (GA) to select high quality stocks with investment value. Given the fundamental financial and price information of stocks trading, we attempt to use GA to identify stocks that are likely to outperform the market by having excess returns. To evaluate the efficiency of the GA for stock selection, the return of equally weighted portfolio formed by th...

This paper tests whether aggregate matching is consistent with unemployment being mainly due to search frictions or due to job queues. Using U.K. data and correcting for temporal aggregation bias, estimates of the random matching function are consistent with previous work in this field, but random matching is formally rejected by the data. The data instead support ‘stock-flow’ matching. Estimat...

Stock market price index prediction is regarded as a challenging task of the financial time series prediction process. Support vector regression (SVR) has successfully solved prediction problems in many domains, including the stock market. This paper hybridizes SVR with the self-organizing feature map (SOFM) technique and a filter-based feature selection to reduce the cost of training time and ...

The stock market is a complex and dynamic system with noisy, non-stationary and chaotic data series. Prediction of a financial market is more challenging due to chaos and uncertainty of the system. Soft computing techniques are progressively gaining presence in the financial world. Compared to traditional techniques to predict the market direction, soft computing is gaining the advantage of acc...

MATERIALS Reagents AmpliTaq polymerase (Perkin Elmer) Bovine serum albumin (BSA) (nuclease-free; Boehringer Mannheim; stock 1.6 mg/ml) Dimethyl sulfoxide (DMSO) (Aldrich) DNA in ES PCR Lysis buffer (include positive and negative controls) dNTPs (Pharmacia; stock of the mix 10 mM) ES colonies in G418 selection (see Electroporating DNA into Embryonic Stem (ES) Cells and Selection) Light mineral o...

This paper examines how, over the course of the nineteenth and early twentieth centuries, the appreciation of skill in surgery shifted in characteristic ways. Skill is a problematic category in surgery. Its evaluation is embedded into wider cultural expectations and evaluations, which changed over time. The paper examines the discussions about surgical skill in a variety of contexts: the highly...

Synchronized action is considered as a manifestation of shared skill. Most synchronized behaviors in humans and other animals are based on periodic repetition. Aperiodic synchronization of complex action is found in the experimental task of synchronous speaking, in which naive subjects read a common text in lock step. The demonstration of synchronized behavior without a periodic basis is presen...

in recent years stock exchange has become one of the most attractive and growing businesses in respect of investment and profitability. but applying a scientific approach in this field is really troublesome because of variety and complexity of decision making factors in the field. this paper tries to deliver a new solution for portfolio selection based on multi criteria decision making literatu...

In this paper, we propose a Hybrid Kansei-SOM model, using Kansei Evaluation integrated with Self-Organizing Map (SOM) for stock market investment strategies. The proposed approach, using a group Decision Support System (DSS), aims to aggregate experts’ preferences with the selection of the most suitable stocks, matching with investing strategies to achieve investment returns by dealing with co...

Studies uniformly conclude that union wage effects are largest for work­ ers with low measured skills. Longitudinal analysis using 19891901994195 Current Population Survey matched panels produces union pre­ mium estimates equivalent across skill groups, following appropriate sam­ ple restrictions and control for worker-specific skills. Evidence from the National Longitudinal Survey of Youth on ...