To study the process of pricing in capital market and look for a new way for decision support in financial market, according to the mechanism of artificial neural network, Capital Market Structure Model is developed in this case due to the influence between bargainer and price of asset in market. During proof-test, result of chaos forecast under the capital market structure model shows that cha...

in this paper, to analyze the transport of autonomous robots, an artificial capital market is used. capital market is considered as a pier which loading and unloading of cargo is done. autonomous robots load and unload from the ship to the warehouse wharf or vice versa. all the robots have the ability of transporting the loads, but depending on loads and the location of unloading (or loading) a...

Rational investor hypothesis, efficient markets hypothesis(EMH), and random walk of yield rate are three basic concepts of modern capital market theory. However, it could not be proved that real capital markets are full with rational investors. The theory, which regards the price movement of capital market as random walks, and regards the yield time series as a normal distribution, is not suppo...

It is widely believed that the resilience of the stock market and its ability to accurately set prices are affected by credit conditions in the economy. A scarcity of deployable capital may cause market-makers to become financially constrained, leading to a breakdown in intermediation. This paper describes another channel by which the supply of available capital affects secondary market liquidi...

In this paper, to analyze the transport of autonomous robots, an artificial Capital market is used. Capital market is considered as a pier which loading and unloading of cargo is done. Autonomous robots load and unload from the ship to the warehouse wharf or vice versa. All the robots have the ability of transporting the loads, but depending on loads and the location of unloading (or loading) a...

An artificial neural network is an intelligent system using computers that allows users to improve performance through pattern recognition. Neural networks benchmark their predictions with actual results and constantly revise their predictions, improving forecasting capability. The purpose of this paper is to support the use of neural networks as a detection mechanism tool to discover market in...

Intraurban land-use change and factors affecting it are critical subjects in land-use planning. If unplanned, such changes can reduce the quality of life and spatial justice and ultimately lead to urban unsustainability. This paper aims to identify factors influencing unsustainable land-use change and analyze the intensity of such changes based on those factors. The artificial neural network an...

the main purpose of this paper is to apply of islamic transactions rules on iran capital market contracts by studying the economic actions of the individuals in tehran stock market. based on the theories of four major islamic laws, i.e., no damage rule, gaining from invalid activities rule, peril rule and usury rule; the basic islamic assumptions is drawn in order to testify in the capital mark...

Using an agent-based multi-asset artificial stock market, we simulate the survival dynamics of investors with different risk preferences. It is found that the survivability of investors is closely related to their risk preferences. Among the eight types of investors considered in this paper, only the CRRA investors with RRA coefficients close to one can survive in the long run. Other types of a...

Using an agent-based multi-asset artificial stock market, we simulate the survival dynamics of investors with different risk preferences. It is found that the survivability of investors is closely related to their risk preferences. Among the eight types of investors considered in this paper, only the CRRA investors with RRA coefficients close to one can survive in the long run. Other types of a...