A KADS based requirement analysis for the management of stock trading portfolios is presented. This provides a theoretical foundation for a stock trading system. This system is designed around portfolio management tasks that include eliciting user profiles, collecting information on the user’s portfolio position, monitoring the environment on behalf of the user, and making decision suggestions ...

abstract portfolio definition is the most important decision for individuals and legal persons that invest in stock. the main objective of this paper is study and determination of optimal portfolio for stock of active food industrial company in tehran stock based on value at risk (var) index. for this purpose, we used weekly static of stock of active food industrial company in tehran from bahma...

the relationship between finance and other social sciences as known behavioural finance, evaluate investors to the decision-making process and their reaction to different conditions of financial markets deals. in this study assumed that analysts are specialist in fundamental and technical analysis and then influence their personality characteristics is evaluated on their performance. statistica...

The aim of this study is to investigate the effect coronavirus health crisis (COVID-19) on performance Saudi stock market, Tadawul. Prices Tadawul All-Shares Index (TASI) and all sector indices are collected from December 2019 end July 2020. Analysis pandemic return volatility carried out using GARCH (1, 1) model. results show that has a positive impact mean returns except for REITS sector, but...

In this paper we provide empirical findings on the significance of positive feedback trading for the return behavior in the German stock market. Relying on the ShillerSentana-Wadhwani model, we use the link between index return auto-correlation and volatility to obtain a better understanding into the return characteristics generated by traders adhering to positive feedback trading strategies. O...

In this paper, we propose formulations and algorithms for robust portfolio optimization under both aleatory uncertainty (i.e., natural variability) and epistemic uncertainty (i.e., imprecise probabilistic information) arising from interval data. Epistemic uncertainty is represented using two approaches: (1) moment bounding approach and (2) likelihood-based approach. This paper first proposes a ...

The problem of portfolio optimization is one of the most important issues in asset management. We here propose a new dynamic portfolio strategy based on the time-varying structures of MST networks in Chinese stock markets, where the market condition is further considered when using the optimal portfolios for investment. A portfolio strategy comprises two stages: First, select the portfolios by ...

This paper develops a sequential random matching model of asset trading to analyze how the extent of information about an asset that is available in the market can affect its tradeability. Liquidity traders are rational agents with higher impatience, which make optimal intertemporal consumption decisions given the trading constraints. Information asymmetries result in unexecuted trades. Agents ...

In this study, we explored data from StockTwits, a microblogging platform exclusively dedicated to the stock market. We produced several indicators and analyzed their value when predicting three market variables: returns, volatility and trading volume. For six major stocks, we measured posting volume and sentiment indicators. We advance on the previous studies on this subject by considering a l...

A requirement analysis for a portfolio management in stock trading is presented. This provides a theoretical foundation for a stock trading system. The overall portfolio management tasks include eliciting user profiles, collecting information on the user’s initial portfolio position, monitoring the environment on behalf of the user, and making decision suggestions to meet the user’s investment ...