Characteristics of Critical Fluctuations Caused by Self-Modulation and its Application
自调制引起的临界波动特性及其应用
基本信息
- 批准号:16540346
- 负责人:
- 金额:$ 2.05万
- 依托单位:
- 依托单位国家:日本
- 项目类别:Grant-in-Aid for Scientific Research (C)
- 财政年份:2004
- 资助国家:日本
- 起止时间:2004 至 2006
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
I analyzed so-called the self-modulation systems which are dynamical stochastic processes whose parameters are given by the moving averages of their own traces. In these 3 years I have studied the basic properties and also applications.The most typical example of the self-modulation systems is the transaction intervals in open markets such as the Yen-Dollar exchange market. I have shown that the time sequence of the intervals normalized by an optimal moving average is quite well approximated by a pure Poisson process. Here, the optimal moving average is given by a weighted moving average with exponential decay of characteristic time about 30 seconds.Then the basic idea of self-modulation is generalized to the market prices especially to the Yen-Dollar market which I have the high quality data for more than 10 years. I firstly introduced an optimal moving average for the market prices and then observed the dynamics of this noise-reduced market price. It is found that the dynamics is not purely random as assumed by the financial technology, I found clear evidence that there exists a potential force of market. This potential force is not a constant but its center is moving with a larger scale moving average and the curvature of the potential is also changing slowly between a positive stable state to a negative unstable state. This dynamical property can be characterized by the potential coefficient. As this analysis is suitable for risk evaluation of markets, I developed a real time data analysis algorithm which is ready to be applied to the real open market.It is also shown theoretically that the potential force formulation is expressed as a kind of self-modulation process for the price difference, so the applicability of the self-modulation has been enlarged considerably.
我分析了所谓的自调制系统,它们是动态随机过程,其参数由其自身迹线的移动平均值给出。在这三年里,我研究了它的基本特性和应用。自调节系统最典型的例子是日元-美元交易市场等公开市场的交易间隔。我已经证明,通过最佳移动平均数标准化的时间间隔的时间序列可以很好地通过纯泊松过程来近似。这里,最佳移动平均线由特征时间指数衰减约30秒的加权移动平均线给出。然后将自调节的基本思想推广到市场价格,特别是日元美元市场,我拥有10多年的高质量数据。我首先引入了市场价格的最佳移动平均线,然后观察了这个降噪后的市场价格的动态。发现动态并不像金融技术所假设的那样是纯粹随机的,我发现了明确的证据表明存在潜在的市场力量。这个势力不是一个常数,但它的中心在以较大尺度的移动平均移动,并且势的曲率也在正的稳定状态到负的不稳定状态之间缓慢变化。这种动力学特性可以用势系数来表征。由于这种分析适合市场风险评估,我开发了一种实时数据分析算法,可以应用于真实的公开市场。理论上还表明,势力公式表达为一种价差的自调节过程,因此自调节的适用性大大扩大。
项目成果
期刊论文数量(75)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Modeling a foreign exchange rate using moving average of Yen-Dollar market data
使用日元-美元市场数据的移动平均线对外汇汇率进行建模
- DOI:
- 发表时间:2005
- 期刊:
- 影响因子:0
- 作者:Takayuki Mizuno;Misako Takayasu;Hideki Takayasu
- 通讯作者:Hideki Takayasu
Correlation networks among currencies
- DOI:10.1016/j.physa.2005.08.079
- 发表时间:2006-05-15
- 期刊:
- 影响因子:3.3
- 作者:Mizuno, T;Takayasu, H;Takayasu, M
- 通讯作者:Takayasu, M
Dynamics Complexity in Internet Traffic
互联网流量的动态复杂性
- DOI:
- 发表时间:2005
- 期刊:
- 影响因子:0
- 作者:Takaaki Ohnishi;Takayuki Mizuno;Kazuyuki Aihara;Misako Takayasu;Hideki Takayasu;Misako Takayasu
- 通讯作者:Misako Takayasu
人間と社会の時間の矢
人类和社会的时间之箭
- DOI:
- 发表时间:2004
- 期刊:
- 影响因子:0
- 作者:Yosuke Tamura;Misako Takayasu;Hideki Takayasu;高安美佐子
- 通讯作者:高安美佐子
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
TAKAYASU Misako其他文献
TAKAYASU Misako的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('TAKAYASU Misako', 18)}}的其他基金
Statistical physics analysis of collective human behaviors observed in the internet information
对互联网信息中观察到的人类集体行为的统计物理分析
- 批准号:
22656025 - 财政年份:2010
- 资助金额:
$ 2.05万 - 项目类别:
Grant-in-Aid for Challenging Exploratory Research
Congestion and Critical Fluctuation in the Internet Information Traffics and Control of Complex Systems
互联网信息流量的拥塞和严重波动与复杂系统的控制
- 批准号:
13831010 - 财政年份:2001
- 资助金额:
$ 2.05万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
相似国自然基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
- 批准号:
- 批准年份:2024
- 资助金额:万元
- 项目类别:合作创新研究团队
相似海外基金
CRII: AF: Efficiently Computing and Updating Topological Descriptors for Data Analysis
CRII:AF:高效计算和更新数据分析的拓扑描述符
- 批准号:
2348238 - 财政年份:2024
- 资助金额:
$ 2.05万 - 项目类别:
Standard Grant
Tracing the evolution of sensory cell types in animal diversity: multidisciplinary training in 3D cellular reconstruction, multimodal data analysis
追踪动物多样性中感觉细胞类型的进化:3D 细胞重建、多模式数据分析的多学科培训
- 批准号:
EP/Y037081/1 - 财政年份:2024
- 资助金额:
$ 2.05万 - 项目类别:
Research Grant
Uncovering Sex-Specific Biological Mechanisms of Depression: Insights from Large-Scale Data Analysis
揭示抑郁症的性别特异性生物学机制:大规模数据分析的见解
- 批准号:
MR/Y011112/1 - 财政年份:2024
- 资助金额:
$ 2.05万 - 项目类别:
Fellowship
CAREER: Machine learning, Mapping Spaces, and Obstruction Theoretic Methods in Topological Data Analysis
职业:拓扑数据分析中的机器学习、映射空间和障碍理论方法
- 批准号:
2415445 - 财政年份:2024
- 资助金额:
$ 2.05万 - 项目类别:
Continuing Grant
NERC Earth Observation Data Analysis and Artificial-Intelligence Service (NEODAAS)
NERC 地球观测数据分析和人工智能服务 (NEODAAS)
- 批准号:
NE/Y005406/1 - 财政年份:2024
- 资助金额:
$ 2.05万 - 项目类别:
Research Grant
Market Orientation, Big Data Analysis Capability, and Business Performance: The Moderating Role of Supplier Relationship, Big data Analysis Outscoring
市场导向、大数据分析能力与经营绩效:供应商关系的调节作用、大数据分析得分
- 批准号:
24K05127 - 财政年份:2024
- 资助金额:
$ 2.05万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
ATTRIBUTION – DATA- ANALYSIS – COUNTERMEASURES – INTEROPERABILITY: ADAC.IO
归因 – 数据分析 – 对策 – 互操作性:ADAC.IO
- 批准号:
10105669 - 财政年份:2024
- 资助金额:
$ 2.05万 - 项目类别:
EU-Funded
Optimising Air Transport Route & Demand Planning Using AI Powered Data Analysis
优化航空运输路线
- 批准号:
10079293 - 财政年份:2023
- 资助金额:
$ 2.05万 - 项目类别:
Collaborative R&D
Complexity of couplings in multivariate time series via a marriage of ordinal pattern analysis with topological data analysis
通过序数模式分析与拓扑数据分析的结合研究多元时间序列中耦合的复杂性
- 批准号:
23K03219 - 财政年份:2023
- 资助金额:
$ 2.05万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
ExCALIBUR HES: Exascale Data Testbed for Simulation, Data Analysis & Visualisation
ExCALIBUR HES:用于仿真、数据分析的百亿亿次数据测试台
- 批准号:
EP/Y004051/1 - 财政年份:2023
- 资助金额:
$ 2.05万 - 项目类别:
Research Grant














{{item.name}}会员




