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1.
Testing for Causality in the Intraday Volatility-Volume Relation: Shanghai Stock Market s Evidence;
上海股市日内波动性与成交量之间引导关系的实证分析
2.
Research on the Intraday Volatility of Chinese Stock Market Conditional on Asymmetric Information;
信息非对称条件下中国股市波动性日内特性研究
3.
Structural Changes and Fluctuations of the Japanese Contents Business
日本内容产业的市场结构变化与波动
4.
An Empirical Analysis of the Relation between Daily Liquidity and Volatility in Shanghai Copper Futures Market;
沪铜期货日流动性与日波动性关系的实证研究
5.
Price-range and Return Based Stochastic Volatility Model--with an Application to Chinese Stock Market Volatility;
基于日内价格幅度与回报的随机波动率模型
6.
Intraday Risk Management of Future Markets in the World
国际期货市场日内价格波动的防范与管理
7.
An Empirical Analysis of the Relation between Daily Liquidity and Volatility in the Shanghai Copper Futures Market;
上海铜期货日流动性与日波动性关系的实证研究
8.
Study of Pressure Fluctuation on Electronic Controlled Common Rail Injection System of Diesel Engine;
电控柴油机共轨管内压力波动性研究
9.
The Inner Natural Relativity Property of Schredinger Wave Mechanics;
Schredinger波动力学的内禀相对论性
10.
Measurement of Artery Compliance Based on Cuff Pulse Waves
基于袖带内脉搏波的动脉顺应性检测
11.
A Conintegration and Comparison Research on RMB Onshore and Offshore Forward Exchange Rates
境内外人民币远期汇率联动性及其波动性比较
12.
Rational Analysis on the Reason of A Decline in Japan′s Internal Labour Market;
日本内部劳动力市场衰败的理性分析
13.
The Optimal Liquidation Strategies on Intraday Liquidity Patterns;
基于日内流动性模式的最优变现策略
14.
The Relativity Research of China s Economy and the Economic Fluctuations of Japan and the United States;
中国经济与美、日经济波动的相关性研究
15.
An Empirical Research in the Fluctuation Characteristic of Shenzhen 100 Index Daily Income Rate;
深证100指数日收益率波动性的实证研究
16.
Study on International and Domestic Gold Price's Volatilities and their Interrelationship
国内外黄金价格的波动性与互动关系研究
17.
Research on inner-day volatility difference among industries in China s stock market;
中国股票市场日内波动率的分行业差异研究——以高频数据为样本
18.
Duration,Ultra-High-Frequency Volatility and Value-at-Risk:Forecasting Financial Market Risk Using Intraday Information
交易间隔、超高频波动率与VaR——利用日内信息预测金融市场风险