登录

最新会员 最新下载

成为了本站VIP会员

12月25日 15:38

成为了本站VIP会员

12月25日 12:28

成为了本站VIP会员

12月25日 12:10

成为了本站VIP会员

12月24日 23:54

成为了本站VIP会员

12月24日 23:29

成为了本站VIP会员

12月21日 19:40
已选条件
  1. 编程语言:matlab
  2. 代码类别:金融证券系统
  3. 发布时间:一月内
全部撤销
编程语言 更多 收起
代码类别 更多 收起
发布时间
更多选项

1. copula和多元GARCH的资料

  copula和多元GARCH的资料,包含多个变形的GARCH模型的变形程序(Data of Copula and multiple GARCH)

16
下载
198
浏览
2021-04-25发布

2. hht

说明:  hht变换,hht变换是利用经验模态来进行分解,从而进行信号分析。(HHT transform, hht transform is the use of empirical mode decomposition to carry out in order to carry out signal analysis.)

5
下载
228
浏览
2021-02-14发布

3. MatlabCode

  多因子模型构建。多因子模型是量化选股中最重要的一类模型,其基本思想就是找到某些和收益率最相关的指标。并根据该指标,构建一个股票组合,期望该组合在未来的一段时间跑赢或者跑输指数。如果跑赢,则可以做多该组合,同时做空期指,赚取正向阿尔法收益;如果是跑输,则可以做多期指,融券做空该组合,赚取反向阿尔法收益。多因子模型的关键是找到因子与收益率之间的关联性。(Multi-Factor Model. Multi-factor stock selection model is to quantify the most important class of models, the basic idea is to find some of the most relevant and profitability indicators. And based on the index, to build a stock portfolio, expect the combination index outperformed or underperformed for some time in the future. If outperform, you can do more than this combination, but short of that, to earn positive alpha income if it is underperforming, you can do more than futures, short selling short the combination to earn a reverse alpha returns. Key multi-factor model is to find correlation between factors and yields.)

270
下载
192
浏览
2021-01-12发布

4. 极值模型代码

  极值理论POT模型阈值选取的hill方法,meplot图绘制,研究极端风险,(Extreme Value Thoery,PeakOver Threshold)

23
下载
201
浏览
2020-12-24发布

5. VPIN

  本段代码用于计算股指期货数据的VPIN值。(calculate value of VPIN)

21
下载
243
浏览
2020-12-12发布

6. MI-TVP-SV-VAR

说明:  Koop大神写出来的时变向量自回归模型的进化版,希望对大神写作有帮助。(The evolutionary version of the time-varying vector autoregressive model written by the Koop hopes, to be helpful to your writing.)

6
下载
170
浏览
2020-12-04发布

7. elsevier-MSS-201609

  用小波变换,分析期货螺纹钢RB1610,周期的源代码,含数据,直接执行程序即可; 绝对可以用。 WAVELET ,FUTURE,RB1610(Wavelet transform, analyze futures rebar RB1610, the cycle of the source code, including data, direct executor can definitely use. Wavelet transform, analysis of the futures rebar RB1610, the cycle of the source code, including data, the direct implementation of procedures can be Absolutely available.)

12
下载
124
浏览
2020-11-27发布

8. MIDASv2.2

说明:  midas混频回归,基于高频数据对高频数据做拟合回归使用(Midas mixing regression)

3
下载
176
浏览
2020-10-09发布

9. RISKPARITY

  风险平价模型 大类配置的工具,主要以股票、债券、现金、商品为基础资产(risk parity method)

38
下载
139
浏览
2020-09-21发布

10. OPGCal

  可以根据wind下载的行业工业增加值计算产出缺口(The calculate of OutPutGap.)

7
下载
154
浏览
2020-07-20发布

11. 经验模态分解EMD模型

  经验模态分解(Empirical Mode Decomposition,简称EMD))方法被认为是2000年来以傅立叶变换为基础的线性和稳态频谱分析的一个重大突破?,该方法是依据数据自身的时间尺度特征来进行信号分解,无须预先设定任何基函数。 该方法的关键是经验模式分解,它能使复杂信号分解为有限个本征模函数(Intrinsic Mode Function,简称IMF),所分解出来的各IMF分量包含了原信号的不同时间尺度的局部特征信号。经验模态分解法能使非平稳数据进行平稳化处理,然后进行希尔伯特变换获得时频谱图,得到有物理意义的频率。(The Empirical Mode Decomposition (EMD) method is considered as a major breakthrough in the linear and steady state spectrum analysis based on Fu Liye transform in 2000. The method is based on the time scale characteristics of the data itself to decompose the signal without setting any base functions in advance. The key of this method is the empirical mode decomposition, which can decompose the complex signal into a limited eigenmode function (Intrinsic Mode Function, for short, IMF), and the decomposed IMF components include the local characteristic signals of the different time scales of the original signal. The empirical mode decomposition method can smooth the non-stationary data, and then obtain the time-frequency spectrum by Hilbert transform to get the physical meaning frequency.)

16
下载
215
浏览
2020-07-07发布

12. univariate

  GARCH模型的matlab程序,使用最大似然估计方法进行参数估计(The matlab program of the GARCH model uses maximum likelihood estimation to estimate the parameters.)

6
下载
174
浏览
2018-07-13发布

13. matlab_stock

  通过网络爬虫,获取股票数据,主要通过的是凤凰财经的数据接口(Through the crawler, to acquire stock data, mainly through the Phoenix Financial Data Interface)

25
下载
142
浏览
2017-07-13发布

14. genetic-algorithm

  文章利用支持向量机进行财务危机模型类别化设定及样本类别化训练,获得基于SVM的财务危机 在风险程度差异化基础上的检验样本,由对应的检验样本形成分类别预警。研究基于风险预测类别化的线性 转化获得各类型层的训练样本支持向量,并向样本集进行基于遗传算法粗糙集属性约简的决策知识表达系统 预测层级化处理和最小二乘SVM(LS-SVM)的财务危机预测(Using genetic algorithm and support vector machine for financial analysis)

8
下载
148
浏览
2017-05-31发布

15. TB

说明:  以Treynor Black的方式将20支股票及无风险利率产品的投资组合进行优化的方式,并且以夏普值等数据评价其优劣(Way to Treynor Black 20 stock portfolio and the risk-free interest rate products optimized manner, and with the value of Sharp and other data to uate the pros and cons)

0
下载
137
浏览
2016-07-20发布

16. Strategy

  量化股票全市场交易策略,通过判断大盘和股票的买卖提示,通过这个策略计算 净值 变化 最大回撤 净值最低点 周转 成功率 ,可以通过调整,变化出不一样的策略(Quantitative stock market trading strategy, through the judgment of the market and the stock trading tips, through this strategy to calculate net worth change maximum retracement net worth low turnover success , can adjust, change a different 2) strategy)

84
下载
129
浏览
2014-02-22发布

17. Strategy

  量化股票全市场交易策略,通过判断大盘和股票的买卖提示,通过这个策略计算 净值 变化 最大回撤 净值最低点 周转 成功率 ,可以通过调整,变化出不一样的策略(Quantitative stock market trading strategy, through the judgment of the market and the stock trading tips, through this strategy to calculate net worth change maximum retracement net worth low turnover success , can adjust, change a different 2) strategy)

87
下载
125
浏览
2014-02-22发布

18. New-folder

  课堂作业boxcox变换。在金融中应用广泛。提供给大家参考。(Classwork boxcox transformations. Widely used in finance. Provided for your reference.)

7
下载
139
浏览
2013-11-11发布

19. New-folder

  课堂作业boxcox变换。在金融中应用广泛。提供给大家参考。(Classwork boxcox transformations. Widely used in finance. Provided for your reference.)

7
下载
116
浏览
2013-11-11发布

20. code

  一个利用MATLAB编写的螺纹钢期货高频交易套利策略。本策略主要使用移动平均(Moving Average)+RSI 指数策略进行交易判定。其基本思想是 MA 策略对 于明显 趋势走效果较好,而 RSI 策略适用于震荡的行情 ,对两种策略 产生的信号合成之后具有较强抵抗风险的能力 。实际验中,在对初始价格信号进行处理并 通过以往数据回测,得到最佳据回测,得到最佳参数组合之后,策略的年均收益率 达到了23.6,夏普比率为 2.05。(One using MATLAB rebar futures arbitrage high frequency trading strategies. This strategy is mainly used moving average (Moving Average)+ RSI index trading strategy determination. The basic idea is a clear trend to go for MA strategy is better, while RSI strategy for market shocks, the two signals generated after synthesis strategy has a strong ability to resist risks. Practical experience, in the pair. Practical experience, in the pair. Actual experiment, in the initial price signals to be processed and the data back through the previous test, get the best according to backtesting, get the best combination of parameters, the strategy to achieve an average annual rate of return of 23.6 2, the Sharpe ratio of 2.05.)

395
下载
173
浏览
2013-10-09发布