Business groups,the financial market and modernization*

Business groups are an important aspect of the industrial organization of many developing countries. This paper develops a theory suggesting that they may be organizations that facilitate modernization in the presence of financial market constraints. An important function of the stockmarket is the diversification of risk that comes with specialized, productive technology. But in the face of serious information problems a well functioning stockmarket may fail to emerge, relegating the economy to a low productivity‐poverty trap. Bilateral links between a firm and a group of others may be a more cost effective way to achieve risk‐sharing. Such business groups may be feasible when a full‐fledged stockmarket is not. As modernization takes place, either because information problems become less severe or more firms enter the economy, business groups actually expand in size before being abruptly rendered obsolete by the stockmarket. This is consistent with empirical results from a number of emerging economies.     

基于CARR模型和GARCH模型的股市波动性预测研究

金融资产波动性建模和预测是金融理论与实践中的一个重要课题,已经有了许多建模与预测方法。本文利用我国股市的高频数据进行实证研究,分别运用CARP,模型和GARCH模型进行波动性预测,进而对两个模型的预测能力进行对比,结果表明：CARP,模型在波动性预测方面比GARCH模型的效果更好。     

论货币政策与股票市场的关系

本文主要探讨了货币政策与股票市场之间的关系。作者认为 ,货币政策与股票市场之间是一种互动的关系 ,一方面 ,股票市场的发展对货币政策及其传导机制带来了深刻的影响 ,股票市场在货币政策传导中的作用越来越大 ;另一方面 ,中央银行货币政策的任何变化都会直接或间接地影响股票市场 ,利率变动对股票市场肯定是有影响的 ,值得研究的是这种影响到底有多大。为了实现我国货币政策与股票市场的良性互动 ,作者建议 :我国中央银行在短期内应将资产价格作为货币政策的参考指标和信息变量 ,长期则宜将资产价格纳入货币政策最终目标 ;规范发展股票市场 ,逐步发挥股票市场传导货币政策的功能 ;疏导货币市场与资本市场的联系 ,提高金融协作监管水平。     

基于CARR模型和GARCH模型的股市波动性预测研究

金融资产波动性建模和预测是金融理论与实践中的一个重要课题,已经有了许多建模与预测方法。本文利用我国股市的高频数据进行实证研究,分别运用CARR模型和GARCH模型进行波动性预测,进而对两个模型的预测能力进行对比,结果表明:CARR模型在波动性预测方面比GARCH模型的效果更好。