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11.
12.
价值型投资在中国证券市场上的有力证据 总被引:1,自引:0,他引:1
本文给出了1994年至2005年间价值型投资在中国A股市场中的有力证据。Fama—MacBeth回归表明在中国A股市场中存在着显著的市盈率和市净率溢价,1994年至2005年中牛市和熊市的滚动策略显示了我国A股市场中的价值效应,并且风险和收益之间基本上呈现出收益大、风险大的特征。本文的实证研究结果将有助于中小投资者以及机构投资者的长期投资决策。 相似文献
13.
回归分析在土地估价中的应用 总被引:3,自引:0,他引:3
回归分析是一种统计学方法,在地价分析与测算中得到广泛应用。本文从统计学的角度阐明了回归分析的原理,并介绍了如何建立回归方程解决土地估价中出现的有关问题。 相似文献
14.
本选取了我国1994年至2000年的统计数据,通过统计学的方法来分析货币政策在分流我国居民的巨额储蓄时是否有效,并进一步分析了对货币政策效果产生干扰的制度因素。 相似文献
15.
在新零销售模式的推动下,客户越来越倾向于消费个性化的商品。为了精准预测客户的消费需求,论文以单款单色产品为研究对象,通过建立多元回归分析的数学模型,来探究影响商品销售量的相关因素。经过分析发现,除了一些定性因素外,定量因素对销售量也产生了一定的影响,其中实际花费总金额、实际销售单价、库存数等定量因素对销售量的影响较大,且各个变量之间具有相关性,所以电商平台应特别关注这三个变量的影响。 相似文献
16.
Moumita Saha Anirban Santara Pabitra Mitra Arun Chakraborty Ravi S. Nanjundiah 《International Journal of Forecasting》2021,37(1):58-71
The study of climatic variables that govern the Indian summer monsoon has been widely explored. In this work, we use a non-linear deep learning-based feature reduction scheme for the discovery of skilful predictors for monsoon rainfall with climatic variables from various regions of the globe. We use a stacked autoencoder network along with two advanced machine learning techniques to forecast the Indian summer monsoon. We show that the predictors such as the sea surface temperature and zonal wind can predict the Indian summer monsoon one month ahead, whereas the sea level pressure can predict ten months before the season. Further, we also show that the predictors derived from a combination of climatic variables can outperform the predictors derived from an individual variable. The stacked autoencoder model with combined predictors of sea surface temperature and sea level pressure can predict the monsoon (June-September) two months ahead with a 2.8% error. The accuracy of the identified predictors is found to be superior to the state-of-the-art predictions of the Indian monsoon. 相似文献
17.
Public-private sector wage differentials in Germany: Evidence from quantile regression 总被引:5,自引:0,他引:5
Blaise Melly 《Empirical Economics》2005,30(2):505-520
This paper measures and decomposes the differences in earnings distributions between public sector and private sector employees in Germany for the years 1984–2001. Oaxaca decomposition results suggest that conditional wages are higher in the public sector for women but lower for men. Using the quantile regression decomposition technique proposed by Machado and Mata (2004), we find that the conditional distribution of wages is more compressed in the public sector. At the low end of wages, differences in characteristics explain less than the raw wage gap when it is the opposite at high wages. Separate analyses by work experience and educational groups reveal that the most experienced employees and those with basic schooling do best in the public sector. All these results are stable over the 80s and 90s.I thank Michael Lechner and the Centre for European Economic Research (ZEW), Mannheim, for letting me work with the full sample of the German Socio-Economic Panel (GSOEP). I am grateful to an anonymous referee and particularly to the editor, Bernd Fitzenberger, for providing me detail comments and suggestions that have significantly improved the paper. I have also benefited from discussions with Michael Lechner and Ruth Miquel.First version received: April 2002/Final version received: June 2004 相似文献
18.
Does Gibrat's Law hold among young,small firms? 总被引:1,自引:0,他引:1
Francesca?Lotti Enrico?SantarelliEmail author Marco?Vivarelli 《Journal of Evolutionary Economics》2003,13(3):213-235
According to Gibrat's Law of Proportionate Effect, the growth rate of a given firm is independent of its size at the beginning of the examined period. Aimed at extending this line of investigation, the present paper uses quantile regression techniques to test whether Gibrat's Law holds for new entrants in a given industry: that is for new small firms in the early stage of their life cycle. The main finding is that for some selected industries in Italian manufacturing Gibrat's Law fails to hold in the years immediately following start-up, when smaller firms have to rush in order to achieve a size large enough to enhance their likelihood of survival. Conversely, in subsequent years the patterns of growth of new smaller firms do not differ significantly from those of larger entrants, and the Law therefore cannot be rejected.JEL Classification:
L11, L60Previous versions of this paper were presented at the 27th Annual EARIE Conference (Lausanne, 7-10 September 2000) and at seminars held between 2000 and 2003 at the Economics Department of Harvard University, the Catholic University of Milan, the University of Ferrara, the University of Bologna, the Bank of Italy, and Athens University of Economics & Business. We would like to thank Carlo Bianchi, Giuseppe Colangelo, Giovanni Dosi, Steven Klepper (Editor), Stephen Martin, Ariel Pakes, Aman Ullah and, in particular, Helen Louri and two anonymous referees for their valuable comments on earlier drafts. Financial support from MIUR (Year 2000; protocol #MM13038538_001; project leader: E. Santarelli) is gratefully acknowledged.Correspondence to: E. Santarelly 相似文献
19.
John Baffoe-Bonnie 《Empirical Economics》2003,28(3):461-478
Recent application of the switching regression model to allocate workers into the primary and secondary labor markets is
considered to be the best solution to the classification problem of the empirical testing of the dual labor market theory.
In such models, normality of the error terms is assumed. This paper adopts the switching regression model to test the dual
labor market theory by assuming different distributions of the error terms. The test results strongly support the dual labor
market theory regardless of the assumption one makes about the error terms. However, the results indicate that different distribution
can lead to different percentage distributions of workers in the two segments. In particular, the normal distribution generates
more workers in the primary segment than the non-normal distributions. Therefore, care must be taken not to generalize the
type of industries or occupations that fall under the primary and secondary segments.
First version received: October 2000/Final version received: March 2002
RID="*"
ID="*" I would like to thank Kevin Lang, Robert Marshall, and two anonymous referees for their helpful comments. I am grateful
for comments received from the session participants of the Western Economic Association International Conference, San Francisco,
CA, June 28–July 2, 1996, and the Midwest Economic Association Conference, Kansas City, 1997. I thank George Bonney, the Chief
Statistician of Fox Chase Cancer Center, Philadelphia for his comments. Any remaining errors are my responsibility. I gratefully
acknowledge financial support from Penn State Research and Development Grant, 1995. 相似文献
20.
Jií Reif 《Journal of econometrics》2007,140(2):413-424
Pre-test estimators (PTE) are considered which are optimal under a Bayes risk among PTE with general measurable sets as “regions of significance” for the test statistic t associated with the estimate of a given regression coefficient. Asymptotic and some finite sample results are stated and numerical experiments are commented on. 相似文献