نتایج جستجو برای: stock price
تعداد نتایج: 166496 فیلتر نتایج به سال:
Stock price prediction is an important and challenging problem in stock market analysis. Existing prediction methods either exploit autocorrelation of stock price and its correlation with the supply and demand of stock, or explore predictive indictors exogenous to stock market. In this paper, using transaction record of stocks with identifier of traders, we introduce an index to characterize ma...
This paper describes the prediction scheme of stock price by using multiagent systems. Agents predict the stock price according to their strategies which is defined from technical and fundamental parameters such as some index related to the stock price, the currency exchange rate of the Japanese Yen (JPY) against the US Dollar and so on. Agents are randomly generated to construct population and...
In this paper, the effects of oil and gold prices on stock market index are investigated. We use a cointegrated vector autoregressive Markov-switching model to examine the nonlinear properties of these three variables during the period of January 2003 - December 2014. The Markov-switching vector-equilibrium-correction model with three regimes representing "deep recession", "mild recession" and ...
Stock prices in each industry are one of the major issues in the stock market. Given the increasing number of shareholders in the stock market and their attention to the price of different stocks in transactions, the prediction of the stock price trend has become significant. Many people use the share price movement process when com-paring different stocks while investing, and also want to pred...
Predicting stock prices is complicated; various components, such as the general state of the economy, political events, and investor expectations, affect the stock market. The stock market is in fact a chaotic nonlinear system that depends on various political, economic and psychological factors. To overcome the limitations of traditional analysis techniques in predicting nonlinear patterns, ex...
The especial importance of capital market in countries is undeniable in economic development via effective capital conduct and optimum resources allocation. Investment in capital market requires decision making in new stock exchanges, and accessing information in the case of future status of capital market. Undoubtedly, nowadays most part of capital is exchanged via stock exchange all around ...
Using an agent-based model we examine the dynamics of stock price fluctuations and their rates of return in an artificial financial market composed of fundamentalist and chartist agents with and without confidence. We find that chartist agents who are confident generate higher price and rate of return volatilities than those who are not. We also find that kurtosis and skewness are lower in our ...
This paper uses a quantile impulse response approach to investigate the impact of oil price shocks on Chinese stock returns. This process allows us to uncover asymmetric effects of oil price shocks on stock market returns by taking into account the different quantiles of oil price shocks. Our results show that the responses of Chinese stock market returns to oil price shocks differ greatly, dep...
this world; though all the discussions are focused on the causal relationships in allthe scientific arguments. one of the methods to study the designed causal relationshipsobjectively is granger causality test. this paper aims to investigate the longtermcausal relationship between the stock price and dividends. the statisticalpopulation includes 180 active companies in stock exchange of tehran ...
هدف این مقاله تجزیه و تحلیل اثرات متغیرهای کلان اقتصادی بر شاخص کل بورس اوراق بهادار در چارچوب تئوری قیمتگذاری آربیتراژ است. این مطالعه، هشت متغیر کلان اقتصادی شامل شاخص قیمت مصرفکننده، نرخ بهره بانکی، قیمت طلا، شاخص تولیدات صنعتی، قیمت نفت، تلاطم قیمت سهام، نرخ ارز و عرضه پول را به عنوان متغیرهای اثرگذار بر شاخص کل قیمت بورس اوراق بهادار تهران، به عنوان شاخص اصلی بازار سهام ایران را بر اساس...
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