نتایج جستجو برای: stock prices

تعداد نتایج: 128223  

Journal: :Environmental Modelling and Software 2005
Alessandro Lanza Matteo Manera Margherita Grasso Massimo Giovannini

The identification of the forces that drive oil stock prices is extremely important given the size of the Oil&Gas industry and its links with the energy sector and the environment. In the next decade oil companies will have to deal with international policies to contrast climate change. This issue is likely to affect companies' shareholder values. In this paper we focus on the long-run financia...

2007
Jean-Paul Décamps Thomas Mariotti Jean-Charles Rochet Stéphane Villeneuve

We study the issuance and payout policy that maximizes the value of a firm facing both agency costs of free cash-flow and external financing costs. We find that firms have target cash levels and optimally issue equity when they run out of cash. We characterize the process modelling the number of outstanding shares and the dynamics of the stock prices. In line with the leverage effect identified...

2014
Pascal Busch Stefan Obernberger

We examine the impact of share repurchases on the information content of stock prices using several measures of price efficiency. The study is based on manually collected data on share repurchases in the United States for the period 2004-2010. We find that share repurchases make prices more efficient. In particular, share repurchases increase the accuracy of the stock price after negative infor...

Journal: :تحقیقات مالی 0
محمد اسماعیل فدایی نژاد دانشیار و عضو هیئت علمی دانشکده مدیریت و حسابداری دانشگاه شهید بهشتی محسن صادقی دانشجوی دکترای مدیریت مالی دانشگاه شهید بهشتی تهران

the aim of this paper is analyzing the role of psychology of numbers in financial markets and in this area, investigates the price clustering phenomenon in trading prices of tehran stock exchange. price clustering is one of anomalies that have been observed in financial markets that representative psychological biases or tendency to specific numbers in the market. this phenomenon includes of de...

The most common starting point for investors when buying a stock is to look at the trend of price changes. In recent years, different models have been used to predict stock prices by researchers, and since artificial intelligence techniques, including neural networks, genetic algorithms and fuzzy logic, have achieved successful re-sults in solving complex problems; in this regard, more exploita...

2016
Tran Quang Huy

This study researches the causal relationship between exchange rates and stock prices during pre and post financial crisis in Viet Nam, based on the collected daily data from 2005 to 2015. The paper investigates the long-run relationship between above-mentioned two variables using Johansen and Juselius (1990) co-integration test and short run dynamic causal relationships by using Toda and Yamam...

2003
Salvatore Nisticò

Is the Federal Reserve at all concerned with stock market performance, as the observation of its recent conduct might seem to suggest? Is there a theoretical scope for such a concern? This paper addresses both questions, presenting and estimating a small structural model that provides a theoretical rationale for looking at equity prices in conducting Monetary Policy. The focus is on the effects...

2008
Mohamed Abdelaziz

We consider the linkage between stock prices and exchange rates in four Middle East emerging markets. The existing evidence on stock prices and exchange rates typically relies on introduction of a global market index. On the contrary, we find that for the countries of our sample oil prices emerge as the dominant factor in the above relationship. When we focus on the extended sample we do not de...

Journal: :iranian economic review 0

modeling and analysis of future prices has been hot topic for economic analysts in recent years. traditionally, the complex movements in the prices are usually taken as random or stochastic process. however, they may be produced by a deterministic nonlinear process. accuracy and efficiency of economic models in the short period forecasting is strategic and crucial for business world. nonlinear ...

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