نتایج جستجو برای: price momentum
تعداد نتایج: 136029 فیلتر نتایج به سال:
Jegadeesh and Titman (1993) document individual stock momentum: strategies that buy stocks that have performed relatively well in the past and sell stocks that have performed relatively poorly in the past generate significant positive returns over the 3to 12-month horizon. This finding, obtained using data from the U.S. market, also holds for a number of international markets [e.g., Haugen and ...
We test the hypothesis that investment constraints in delegated portfolio management may distort demand for stocks, leading to price underreaction to news and stock return predictability. We find that institutions tend not to buy more of a stock with good news that they already overweight; they are reluctant to sell a stock with bad news that they already underweight. Stocks with good news over...
In a binary prediction market in which risk-neutral traders have heterogeneous prior beliefs and are allowed to invest a limited amount of money, the static rational expectations equilibrium price is demonstrated to underreact to information. This effect is consistent with a favorite-longshot bias, and is more pronounced when prior beliefs are more heterogeneous. Relaxing the assumptions of ris...
We conducted preference assessments with 4 typically developing children to identify potential reinforcers and assessed the reinforcing efficacy of those stimuli. Next, we tested two predictions of economic theory: that overall consumption (reinforcers obtained) would decrease as the unit price (response requirement per reinforcer) increased and that the cost and benefit components that defined...
We seek the analogy of the mathematical form of the alternative form of Einstein's field equations for Lovelock's field equations. We find that the price for this analogy is to accept the existence of the trace anomaly of the energy-momentum tensor even in classical treatments.
This paper proposes and tests a flow-based explanation for three important empirical findings on return predictability – the persistence of mutual fund performance, the “smart money” effect, and stock price momentum. Since mutual fund managers generally scale up or down their existing positions in response to investment flows, and since the portfolios of funds receiving capital generally differ...
The main objective of this study is to find out whether an Artificial Neural Network (ANN) will be useful to predict stock market price, which is highly non-linear and uncertain. Specifically, this study will focus on forecasting TSE Price Index (TEPIX) as the most significant index of Iran Stock Market. Many data have been used as inputs to the network. These data are observations of 2000 day...
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