نتایج جستجو برای: the stock price bubble
تعداد نتایج: 16078352 فیلتر نتایج به سال:
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...
We present a simple macroeconomic model that includes a role for an asset-price bubble. We then derive optimal monetary policy settings for two policymakers: a skeptic, for whom the best forecast of future asset prices is the current price; and an activist, whose policy recommendations take into account the complete stochastic implications of the bubble. We show that the activist’s recommendati...
In the wake of the dot.com collapse, investor sentiment toward initial public offerings (IPOs) has turned negative. To many investors, IPOs have come to symbolize the insider abuses and stock market excesses of the Internet bubble period; to others, investing in IPOs is inherently fraught with danger. This paper asks the question, Have IPOs indeed become more perilous to the investing public ov...
The aim of this study was to investigate the asymmetric effects of exchange rate fluctuations on Stock index of Tehran Stock Exchange. For this purpose, we first calculated the exchange rate fluctuations using model General Autoregressive Conditional Heteroskedastic (GARCH), and then the effect of these fluctuations on the Stock index of Tehran Stock Exchange was estimated using the Generalized...
وجود حبابهای قیمتی کالاها و داروهای پزشکی در بیثباتی بازار دارویی نقشی اساسی ایفا می کند. از آنجا که بازار مواد دارویی در هر کشوری با سطح توسعهیافتگی آن کشور ارتباط مستقیم دارد، بررسی حبابی بودن بازار مواد دارویی، تاریخگذاری و تعیین نوع حبابهای موجود، یگانه یا چندگانه بودن آنها در بازار اهمیت ویژه ای دارد.در این مقالهاز الگوهای نوین کشف و تاریخگذاری حباب چون GSADF و RADF، استفاده شده است. ...
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...
Put options are commonly used in the stock market to protect against the decline of the price of a stock below a specified price. On the other hand, finite difference approach is a well-known and well-resulted numerical scheme for financial differential equations. As such in this work, a new spatial discretization based on finite difference semi-discretization procedure with high order of accur...
Investors and other contributors to stock exchange need a variety of tools, measures, and information in order to make decisions. One of the most common tools and criteria of decision makers is price-to earnings per share ratio. As a result, investors are in pursuit of ways to have a better assessment and forecast of price and dividends and get the highest returns on their investment. Previous ...
there are several researches that deal with the behavior of ses and their relationships with different economical factors. these range from papers dealing with this subject through econometrical procedures to statistical methods known as copula. this article considers the impact of oil and gold price on tehran stock exchange market (tse). oil and gold are two factors that are essential for the ...
Stock based rewards are often used to motivate high-level managers to take actions to increase the stock price of the fi rm. However, numerous constraints may weaken the perceived link between individual effort and stock price appreciation for many recipients. This study introduces a new construct, stock price expectancy, which we defi ne as individuals’ perceptions of infl uence over their fi ...
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