曼德?tīng)柌剂_特分形市模型分析
發(fā)布時(shí)間:2022-08-23 17:33
這篇論文是關(guān)于一個(gè)股票時(shí)間序列新模型的研究。一九九七年,曼德?tīng)柌剂_特(BenoitMandelbrot)提出了這個(gè)新股票模型。Mandelbrot主要用分形理論模仿真正的股票時(shí)間序列。我的論文研究的一個(gè)目的就是說(shuō)明為什么分形理論在金融市場(chǎng)(股票,國(guó)際兌換率和商品指數(shù)等)方面是有效的。這個(gè)新股票模型引入了新的分析工具。其中,赫斯特(Hurst)指數(shù)和R/S分析就是Mandelbrot模型的重要工具。這篇論文的另一個(gè)目的就是研究清楚這兩個(gè)工具。最后,我將在論文用中國(guó)股票時(shí)間序列,國(guó)際兌換率和商品指數(shù)三項(xiàng)金融市場(chǎng)指數(shù)來(lái)驗(yàn)證這個(gè)新模型的有效性。 這篇論文主要分為4個(gè)部分。第一個(gè)部分是關(guān)于經(jīng)典和新股票時(shí)間序列的模型的,主要是介紹這些模型創(chuàng)造的理由和新舊兩個(gè)模型的比較。第二部分是對(duì)曼德?tīng)柌剂_特引入的兩個(gè)重要工具的研究:赫斯特指數(shù)和R/S分析。這個(gè)部分主要說(shuō)明它們的特點(diǎn)和有效性。第三個(gè)部分是關(guān)于Mandelbrot的新股票模型的研究。這個(gè)部分說(shuō)明怎么樣利用這個(gè)新的模型真正創(chuàng)造一個(gè)時(shí)像真實(shí)的股票時(shí)間序列。最后一個(gè)部分包括所有數(shù)據(jù)試驗(yàn)的結(jié)果(模型比較,Hurst指數(shù)的計(jì)算和說(shuō)明,Hurst指數(shù)的...
【文章頁(yè)數(shù)】:51 頁(yè)
【學(xué)位級(jí)別】:碩士
【文章目錄】:
Abstract
詳細(xì)摘要
1 Models of market
1.1 Market Theories
1.2 Classic model of stock time series
1.2.1 Random Walk
1.2.2 Brownian Motion
1.2.3 Arbitrage Theorem
1.2.4 Black-Scholes Formula
1.3 Limits of classic model
1.4 Fractals in Markets
1.4.1 Non independence
1.4.2 Turbulence
2 Hurst Coefficient,R/S Analysis
2.1 History and Main Idea
2.2 Hurst Exponent and Fractal Dimension
2.2.1 Self-similar Processes
2.2.2 Fractional Brownian Motion
2.2.3 Correlation function properties
2.2.4 Long-range dependence
2.3 R/S Analysis
2.3.1 Independent Processes
2.3.2 R/S Analysis
2.3.3 Hurst Exponent
2.3.4 Efficiency
3 Building Mandelbrot's Model
3.1 Ideas
3.2 Generator
3.2.1 Unit Generators
3.2.2 Turbulence
3.2.3 Hurst parameter
3.3 Multifractality
3.3.1 Relation between generators
3.3.2 Mathematical terms
4 Experiments on Data
4.1 Difference between models and reality
4.1.1 Independence/dependence
4.1.2 Normality
4.1.3 Correlation
4.2 Real Stock Hurst coefficient
4.2.1 Hurst computed
4.2.2 Findings
4.2.3 Explanation
4.3 Predictability
4.3.1 Goals and ideas
4.3.2 Results
4.4 Close looks on the RS Analysis
4.5 Conclusion
Appendix A Thanks and Statement
Appendix B References
B.1 Books and papers
B.2 Web resources
Appendix C Matlab
C.1 RS Analysis
C.2 Recherche Possible Evolutions
C.3 Other codes
本文編號(hào):3678192
【文章頁(yè)數(shù)】:51 頁(yè)
【學(xué)位級(jí)別】:碩士
【文章目錄】:
Abstract
詳細(xì)摘要
1 Models of market
1.1 Market Theories
1.2 Classic model of stock time series
1.2.1 Random Walk
1.2.2 Brownian Motion
1.2.3 Arbitrage Theorem
1.2.4 Black-Scholes Formula
1.3 Limits of classic model
1.4 Fractals in Markets
1.4.1 Non independence
1.4.2 Turbulence
2 Hurst Coefficient,R/S Analysis
2.1 History and Main Idea
2.2 Hurst Exponent and Fractal Dimension
2.2.1 Self-similar Processes
2.2.2 Fractional Brownian Motion
2.2.3 Correlation function properties
2.2.4 Long-range dependence
2.3 R/S Analysis
2.3.1 Independent Processes
2.3.2 R/S Analysis
2.3.3 Hurst Exponent
2.3.4 Efficiency
3 Building Mandelbrot's Model
3.1 Ideas
3.2 Generator
3.2.1 Unit Generators
3.2.2 Turbulence
3.2.3 Hurst parameter
3.3 Multifractality
3.3.1 Relation between generators
3.3.2 Mathematical terms
4 Experiments on Data
4.1 Difference between models and reality
4.1.1 Independence/dependence
4.1.2 Normality
4.1.3 Correlation
4.2 Real Stock Hurst coefficient
4.2.1 Hurst computed
4.2.2 Findings
4.2.3 Explanation
4.3 Predictability
4.3.1 Goals and ideas
4.3.2 Results
4.4 Close looks on the RS Analysis
4.5 Conclusion
Appendix A Thanks and Statement
Appendix B References
B.1 Books and papers
B.2 Web resources
Appendix C Matlab
C.1 RS Analysis
C.2 Recherche Possible Evolutions
C.3 Other codes
本文編號(hào):3678192
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