نتایج جستجو برای: sorted equity indices in tehran stock exchange tse although daily return of large stocks leads small stocks lead

تعداد نتایج: 24524080  

Journal: :Computer Physics Communications 2007
Kyoung Eun Lee Jae Woo Lee Byoung Hee Hong

We consider cross-correlations among stock prices in the Korean stock-market[1,2]. We use the daily Korean stock-market prices of KOSPI 200 for 4 years from January 3, 2000 to December 29, 2004. Let us define logarithmic return as ri(t) = log pi(t)− log pi(t−∆t) where pi(t) is the stock prices of a company i at a time t and ∆t is the return time. We use one day return time ∆t = 1day. The total ...

Journal: :journal of industrial engineering, international 2007
n mansour a rebai b aouni

in the portfolio selection problem, the manager considers several objectives simultaneously such as the rate of return, the liquidity and the risk of portfolios. these objectives are conflicting and incommensurable. moreover, the objectives can be imprecise. generally, the portfolio manager seeks the best combination of the stocks that meets his investment objectives. the imprecise goal program...

Today, export-oriented companies are very important. These companies need a lot of investment to expand their activities, which is one of the best ways to finance the stock market and since market return is one of the factors influencing people's decisions to direct their capital to this market return. Therefore, the analysis of factors affecting this market return is importants and hence the m...

2000
Ravi Jagannathan Ellen R. McGrattan Anna Scherbina

This study demonstrates that the U.S. equity premium has declined significantly during the last three decades. The study calculates the equity premium using a variation of a formula in the classic Gordon stock valuation model. The calculation includes the bond yield, the stock dividend yield, and the expected dividend growth rate, which in this formulation can change over time. The study calcul...

Journal: :SAGE Open 2021

To assess the time-varying dynamics in value-at-risk (VaR) estimation, this study has employed an integrated approach of dynamic conditional correlation (DCC) and generalized autoregressive heteroscedasticity (GARCH) models on daily stock return emerging markets. A log-returns three leading indices such as KSE100, KSE30, KSE-ALL from Pakistan Stock Exchange SSE180, SSE50 SSE-Composite Shanghai ...

2009
James J. Choi Hongjun Yan

We test how ownership breadth predicts stock returns. Using holdings data on a representative Shanghai Stock Exchange investor sample from 1996 to 2007, we find that cross-sectionally, high breadth change quintile stocks underperform low breadth change quintile stocks by 22 percent per year, a result driven by retail investor ownership breadth. This is consistent with breadth increases primaril...

2017
MARK RUBINSTEIN

Throughout their history, puts and calls [1] on common stock have been criticized as mere gambling opportunities. Recently, the creation of listed options on the Chicago Board Options Exchange, the American Stock Exchange and three regional exchanges in the United States, has given new respectability to options as investment vehicles. By year-end 1977, listed options to 217 common stocks were a...

2014
Ralf Brüggemann Markus Glaser Steffen Schaarschmidt Sandra Stankiewicz

We investigate non-linearities in the stock return trading volume relationship by using daily data for 16 European countries in an asymmetric vector autoregressive model. In this framework, we test for asymmetries and analyze the dynamic relationship using a simulation based procedure for computing asymmetric impulse response functions. We find that stock returns have a significant influence on...

2014
Ling Liu Jing Wu Qing Li

Identifying homogeneous groups of stocks, where these stocks have similar movement of returns is called stock return comovement analysis. Stock return comovement analysis is important to financial analysts, decision makers, and academic researchers, in many financial implications. This paper examines firms’ social media, in particular, microblogging metrics’ role on analyzing stock return comov...

2001
Alan Fan Marimuthu Palaniswami

We used the Support Vector Machines in a classification approach to 'beat the market'. Given the fundamental accounting and price information of stocks trading on the Australian Stock Exchange, we attempt to use SVM to identify stocks that are likely to outperform the market by having exceptional returns. The equally weighted portfolio formed by the stocks selected by SVM has a total return of ...

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