نتایج جستجو برای: stock model

تعداد نتایج: 2169895  

The option-pricing problem is always an important part in modern finance. Assuming that the stock diffusion is a constant, some literature has introduced many stock models and given corresponding option pricing formulas within the framework of the uncertainty theory. In this paper, we propose a new stock model with uncertain stock diffusion for uncertain markets. Some option pricing formulas on...

Md Abdul Wadud Md Abu Hasan

This paper investigates the nature of volatility characteristics of stock returns in the Bangladesh stock markets employing daily all share price index return data of Dhaka Stock Exchange (DSE) and Chittagong Stock Exchange (CSE) from 02 January 1993 to 27 January 2013 and 01 January 2004 to 20 August 2015 respectively.  Furthermore, the study explores the adequate volatility model for the stoc...

Journal: :تحقیقات مالی 0
غلامرضا اسلامی بیدگلی دانشیار مدیریت مالی، دانشکدة مدیریت، دانشگاه تهران، تهران، ایران اعظم هنردوست کارشناس ارشد مدیریت مالی، دانشکدة مدیریت، دانشگاه تهران، تهران، ایران

to achieve the optimal model for capital asset pricing has always been a central issue in studies of the financial field. in this study we consider fama and french three-factor model augmented by the pastor and stambaugh (2003) liquidity risk factor. unlike most previous studies in this model, stock level beta is allowed to vary with firm-level size and book-to-market value. to verify the above...

Journal: :تحقیقات اقتصادی 0
شاپور محمدی استادیار دانشکده‎ی مدیریت دانشگاه تهران حامد طبسی دانشجوی دکتری مدیریت مالی دانشکده‎ی مدیریت دانشگاه تهران

in this paper using catastrophe theory, we investigate non-smooth changes in tehran stock exchange. stock market crashes bring not only panic among investors, but also in deeper market lead to recession and decrease in consumer's confidence. as catastrophe theory is strong tool in explaining nonlinear phenomena, by applying stochastic cusp catastrophe model we examine sudden change in tehr...

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 ...

Journal: :راهبرد مدیریت مالی 0
حسن قالیباف اصل دانشیار دانشگاه الزهرا (س)، دانشکده اقتصاد و علوم اجتماعی، گروه مدیریت فریده ولی زاده کارشناس ارشد مدیریت مالی، دانشگاه الزهراء (س)

the aim of this study is to investigate the relationship between dividend policy with stock liquidity and information asymmetry considering the characteristics of the company as controlling variables in tehran stock exchange. for this purpose, all listed companies in tehran stock exchange as the statistical population was considered during the period 2009 to 2014, that after screening by simple...

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 purpose of this study is to optimize the stock price forecasting model with meta-innovation method in pharmaceutical companies.In this research, stock portfolio optimization has been done in two separate phases.The first phase is related to forecasting stock futures based on past stock information, which is forecasting the stock price using artificial neural network.The neural network used ...

Journal: :Physical review. E, Statistical, nonlinear, and soft matter physics 2004
Wen-Jong Ma Chin-Kun Hu Ravindra E Amritkar

We propose a model of coupled random walks for stock-stock correlations. The walks in the model are coupled via a mechanism that the displacement (price change) of each walk (stock) is activated by the price gradients over some underlying network. We assume that the network has two underlying structures, describing the correlations among the stocks of the whole market and among those within ind...

In this research, we proposed a new metaheuristic technique for stock portfolio multi-objective optimization employing the combination of Strength Pareto Evolutionary Algorithm (SPEA), Adaptive Neuro-Fuzzy Inference System (ANFIS) and Arbitrage Pricing Theory (APT). To generate the more precise model, ANFIS has implemented to envisage long-term movement values of the Tehran Stock Exchange (TSE)...

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