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The paper obtains some conclusions after many theories analysis and empirical tests: Firstly, Volume-price relativity is extensive: total volume or it's change, disassembled volume promoting price movement or it's change all has plus relativity to equilibria price. Secondly, there is unilateralisms Granger casuality in bullmarket, while there is bidirectional Granger casuality in bearmarket. There is not nonlinear Granger casuality in both markets. Third, Behavior finance has remarkable effects after contrasting to different investment conditions. Moreover, causality research by moving tendency can reflect the stable relation while usual causality research can't do. Fourth, it can be ture forecasing key period of tendency reversion by building volume-price elasticity coefficient containing composite information of volume-price and analysis methods of moving tendency.
本文大量的理论分析和实证研究得到以下结果：第一，量价之间的相关性具有广泛性，总成交量及变化、分解的促进股价变化的成交量及变化都与均衡价格收益有正相关关系；第二，在牛市中，收益和成交量之间存在单向的Granger因果关系，而在熊市中，收益和成交量之间存在双向的Granger因果关系，不论熊市和牛市，上证和深证量价间均没有非线性因果关系；第三，不同市场环境的比较中还发现行为金融在股市中的作用明显，通过比较发现依据运行趋势的因果关系分析能反映量价间的稳定关系，而常规因果分析方法却反映不出来；第四，通过建立包含量价信息的量价弹性系数指标和依据运行趋势的关键区域研究法，可以实现对趋势转变关键区域的预测。
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According to the emprical results,we draw this conclusion that there is a bi-directional casuality between A and B shares volatility in Shanghai stock market,while there is no evident and reliable Granger-casuality between A and B shares volatility in Shenzhen stock market.
本文利用时间序列分析中的格兰杰因果关系检验法对中国证券市场A、B股的波动性进行分析，发现上海市场A、B股的波动间存在双向因果关系，而深圳市场A、B股的波动间则不存在显著可信的因果关系。
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The precondition of the model is being linearity casuality between the expected return of an asset and variance of the market portfolio.
资本资产定价模型的前提是建立在资产的预期收益对于其市场投资组合收益的方差为线性的关系上。
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casuality：非正式
"非正式用户","casual user" | "非正式","casuality" | "故障报告","casualty report,CASREP"