沪市主要板块指数市场波动实证分析

GARCH—M模型通常应用于预期收益与预期风险密切相关的领域，根据金融理论股票的风险越大，其收益也就越高，故可认为股票收益的指数变动依赖于一个常数。利用GARCH—M模型和E—GARCH—M模型对沪市主要板块指数进行实证分析。结果显示沪市重要板块指数日收益率存在信息非对称效应、高风险对应高回报。     

Mean and Variance Causality between Official and Parallel Currency Markets: Evidence from Four Latin American Countries

This paper examines the issue of mean and variance causality across four Latin American official and black markets for foreign currency using monthly data for the period 1976–1993. We apply a recent test developed by Cheung and Ng (1996) in order to test for mean and variance spillovers. The main findings are: (1) In contrast to the findings of previous studies, EGARCH-M processes characterize each bilateral exchange rate series in both markets; (2) There is substantial evidence of causality in both mean and variance with the causality in mean largely being driven by the causality in variance; and (3) The results indicate that the major exporter of causality is the Mexican black market with the black market of Argentina and the black and official markets of Brazil being the smallest contributors.     

Global and regional integration of the Middle East and North African (MENA) stock markets

We investigate financial integration of MENA region to facilitate a more in-depth exploration of the structure of interdependence and transmission mechanism of stock returns and volatility between MENA and world stock markets. The EGARCH-M models with a generalized error distribution are employed to consider both leverage effect of negative shocks and leptokurtosis prevalent in the MENA stock markets. The estimation results of multivariate AR-GARCH models indicate that there are large and predominantly positive volatility spillovers and volatility persistence in conditional volatility between MENA and world stock markets. Own-volatility spillovers are generally higher than cross-volatility spillovers for all the markets.     

Return predictability in African stock markets

This paper models weekly index returns adjusted for thin trading as a nonlinear autoregressive process with conditional heteroscedasticity to investigate the weak-form pricing efficiency of 11 African stock markets. Specifically, the use of the EGARCH-M model allows us to capture how conditional volatility affects the pricing process without imposing undue restrictions on the parameters of the conditional variance equation. On the basis of such a robust model, we are able to reject the evidence in prior studies that the Nigerian stock market is weak-form efficient. On the other hand, we confirm extant results that the markets in Egypt, Kenya, and Zimbabwe are efficient while that of South Africa is not weak-form efficient. We also generate new results, which point to the efficiency of the stock markets in Mauritius and Morocco, while the markets in Botswana, Ghana, Ivory Coast, and Swaziland are not consistent with weak-form efficiency.     

沪深股市在牛市和熊市阶段的波动非对称效应实证分析

本文分别采用EGARCH-M、TGARCH-M模型对沪深股市在牛市和熊市阶段的非对称波动效应进行了分析,这两个模型得出了相同的结论,在牛市阶段利好消息引起股市更大的波动,在熊市阶段利空消息引起股市更大的波动,而且这两个模型同时也说明了我国股市风险和收益的正相关关系,并从我国股票市场交易者构成和交易机制两方面说明了波动非对称的原因。     

基金投资风格漂移识别——基于收益和风险双维度

修正EGARCH-M模型构建基金投资风格漂移识别模型,考量收益和风险两个维度。实证发现,在较长时期内,中国基金投资风格不存在严重的漂移现象不明显,但在较短时期内,基金投资风格没有表现出较大的漂移度,相对于股市上涨阶段,股市下跌阶段基金投资风格发生漂移的概率更高。与现有的两种主要基金投资风格漂移识别方法相比较,模型具有四个方面的优越性,实证研究表明模型是可行的。     

沪市主要板块指数市场波动实证分析

GARCH-M模型通常应用于预期收益与预期风险密切相关的领域,根据金融理论股票的风险越大,其收益也就越高,故可认为股票收益的指数变动依赖于一个常数。利用GARCH-M模型和EGARCH-M模型对沪市主要板块指数进行实证分析。结果显示沪市重要板块指数日收益率存在信息非对称效应、高风险对应高回报。     

我国股票市场波动非对称性的实证研究

本文首先对沪深两市收益率的性质作了统计分析,由统计分析的结果得知两市的收益率数据可以应用t分布下的EGARCH-M模型作波动的非对称性实证研究,研究结果证实了沪深两市中都存在显著的非对称性波动,并且,从经济意义上讲,上海股市的非对称性更显著;结果还表明,总体上讲沪市中的投机性要比深市严重。