金融波动

金融波动金融波动
  1. 金融波动持续性及多元GARCH建模研究;

    Persistence of financial volatility and multivariate GARCH modeling ;

  2. 金融波动分析的小波和频域方法研究

    Study on the Wavelet and Frequency Domain Methods of Financial Volatility Analysis

  3. 基于平行数据的金融波动模型研究

    Research on Financial Volatility Models Based on Panel Data

  4. 非线性金融波动率模型及其实证研究

    Nonlinear Financial Volatility Models and Their Empirical Research

  5. 第三章研究金融波动的时间&尺度分析方法。

    In Chapter three , the time-scale method of financial volatility analysis is studied .

  6. 随机分形与金融波动的市场机制

    Random Fractal and Market Mechanism of Financial Volatility

  7. 基于小波分析的金融波动分析

    Analysis of Financial Volatility Based on Wavelet Analysis

  8. 基于非正态分布的动态金融波动性模型研究

    Dynamic Financial Volatility Model Based on Non-normal Distribution

  9. 全球大系统关联结构与金融波动的国际传播

    The Link Structure in the Global Large-scale System and the International Propagation of Financial Fragility

  10. 金融波动持续性的研究

    Research on the Persistence of Financial Volatility

  11. 分形理论与金融波动

    Fractal theory and financial volatility

  12. 本文就度量金融波动性的方法和模型及应用进行了论述和研究。

    This thesis has carried out a research on measuring method and application of the financial volatility .

  13. 而金融波动的度量和分析,必须借助于科学的方法和工具来实现。

    And the measurement and analysis of financial volatility must be realized through scientific methods and tools .

  14. 但到目前为止,金融波动尽管令人无限沮丧,但看来不失为一种健康的风险重估。

    So far , though , the financial wobbles , however unnerving , look like a healthy repricing of risk .

  15. 针对政策上的矛盾和失误,作者提出了减少金融波动、保持金融稳定的政策建议。

    According to the contradictions and faults in Policies , the authors give the counter-suggestions about reducing financial fluctuation and maintaining financial stability .

  16. 但这中间存在一个陷阱:对今天的美国而言,关键问题不在于经济和金融波动,而在于不断加剧的政治动荡。

    But therein lies the rub : what matters in the us today is not economic and financial volatility , but rising political volatility too .

  17. 从市场信息流以及信息对于市场波动影响的角度,分析了金融波动持续性的市场机制和经济涵义,进一步扩展了分形市场理论的内涵。

    The dissertation studies the market mechanism of persistence in financial volatility by investigating the market information and its influences on market volatility . The discussion broadens the connotation of Fractal Market Theory .

  18. 论文以金融波动分析的小波和频域方法为研究内容,共分为八章,主要研究工作和创新之处在第二&第七章中。

    This dissertation studies the wavelet and frequency methods of financial volatility analysis . There are eight chapters in it . The main work and innovations are included in Chapter two to Chapter seven .

  19. 度量金融波动、刻画和分析金融波动的特征,对于认识和掌握金融市场波动的规律和结构具有重要意义。

    It is important to understand and master the law and structure of fluctuations in the financial markets that how to measure the financial fluctuations , analyse and depict the characteristics of financial volatility .

  20. 是的,上证综指(ShanghaiCompositeStockIndex)从6月份的高峰下跌了近40%,但中国经济很少受国内金融市场波动的影响。

    Yes , the Shanghai Composite Stock Index has dropped almost 40 per cent since its June peak , but the Chinese economy has rarely been upset by fluctuations of its financial markets .

  21. 金融市场波动性CARR类模型与GARCH类模型的比较研究

    The Comparative Study Between the CARR Model and the GARCH Race Models on the Volatility of the Financial Market

  22. 近期金融市场波动性的走势;国际清算银行报告2

    The recent behaviour of financial market volatility ; BIS paper 2

  23. 这些金融指标波动,增加了投资风险。

    These fluctuations in financial index increase the risk of investment .

  24. 金融市场波动测量方法新进展

    Review on the Progress of Measuring Method of Financial Market Volatility

  25. 金融市场波动性的拟合分析

    Simulating and Analyzing the Volatility of Financial Market in China

  26. 中国金融市场波动率模型预测能力比较研究

    A Forecast Comparison of Volatility Models in Chinese Financial Markets

  27. 可加模型及其在金融市场波动率估计中的应用

    Additive Model and Its Application in the Estimation of Financial Market Volatility

  28. 金融市场波动模型化研究进展

    Review on the Progress for Modeling Financial Market Volatility

  29. 本文研究的实际背景则是金融市场波动所呈现出来的各种特征。

    The empirical backgrounds of this dissertation are the volatility characters in financial markets .

  30. 倾向性分析用于金融市场波动率的研究

    The Research on Financial Volatility with Sentiment Analysis