this research analyze the resource and structure of cross-autocorrelation in returns and volatility of stocks that listed in the tehran stock exchange during the period farvardin 1382–eisfand 1386, with employing the garch model. at the first, the results show that, in down(bear) market, return on high trading volume portfolio lead return on low trading volume portfolio, when controlled for fir...

In this study, the profitability of contrarian and momentum strategies were traded in mid- term based on trading volume. The stocks were categorized into three parts (high, middle and low) at the outset. Then, the relationship between excess return with three components such as cross-sectional risk, lead-lag effect and time-series pattern were examined based on Jegadeesh and Titman approach.The...

return and volatility spillovers are important for portfolio selection, asset valuation and market efficiency investigation. using a var-bekk framework model, this paper investigates return and volatility spillover effects between three size-sorted equity indices in tehran stock exchange (tse). although daily return of large stocks leads small stocks (lead-lag effect), there wasn’t any spillove...

in this study, the profitability of contrarian and momentum strategies were traded in mid- term based on trading volume. the stocks were categorized into three parts (high, middle and low) at the outset. then, the relationship between excess return with three components such as cross-sectional risk, lead-lag effect and time-series pattern were examined based on jegadeesh and titman approach.the...

This paper presents a model of portfolio choice and stock trading volume with lossaverse investors. The demand function for risky assets is discontinuous and non-monotonic: as wealth rises beyond a threshold investors follow a generalized portfolio insurance strategy. This behavior is consistent with the evidence in favor of the disposition effect. In addition, loss-averse investors will not ho...

in this research the asymmetric and non-linear correlation between the market returns and trading volume variables has modeled with the dcc-garch approach; and the impacts of market shocks, weekend and calendar effects on the market returns and trading volume are surveyed. the estimation results of parameters of the model by the maximum likelihood method show that previous day’s market return h...

We derive an intertemporal capital asset pricing model with multiple assets and heterogeneous investors, and explore its implications for the behavior of trading volume and asset returns. Assets contain two types of risks: market risk and the risk of changing market conditions. We show that investors trade only in two portfolios: the market portfolio, and a hedging portfolio, which allows them ...

Modern portfolio theory is based on the relationship between risk and return and in this paper, specific uncertainty conditions are introduced as ambiguity which affects the asset pricing. Also, the relationship between risk, ambiguity and return is examined. First, ambiguity is estimated by the means of three-variable and main component method, trading volume, ask-bid spread, error of earnings...

This paper derives in closed form the optimal dynamic portfolio policy when trading is costly and security returns are predictable by signals with different mean-reversion speeds. The optimal updated portfolio is a linear combination of the existing portfolio, the optimal portfolio absent trading costs, and the optimal portfolio based on future expected returns and transaction costs. Predictors...

Dynamic portfolio trading system is used to allocate one’s capital to a number of securities through time in a way to maximize the portfolio return and to minimize the portfolio risk. Genetic programming (GP) as an artificial intelligence technique has been used successfully in the financial field, especially for the forecasting tasks in the financial markets. In this paper, GP is used to devel...