| 所在主题: | |
| 文件名: xxx.xls | |
| 资料下载链接地址: https://bbs.pinggu.org/a-1761833.html | |
| 附件大小: | |
|
我带入两种日收益率数据,用xlsread做成矩阵,然后调用full_bekk_nvgarch(NUM,1,1),结果出来如下,怎么回事是??并没有outputs里的我要的HT协方差举证啊(因为我要求套保比率),到底是怎么回事?
求解答,其它帖子里还有20个论坛币,解决的话可以奉上全部~~~ >> full_bekk_mvgarch(NUM,1,1) %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Diagnostic Information Number of variables: 5 Functions Objective: scalar_bekk_mvgarch_likelihood Gradient: finite-differencing Hessian: finite-differencing (or Quasi-Newton) Algorithm selected medium-scale: Quasi-Newton line search %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% End diagnostic information Gradient's IterationFunc-count f(x) Step-size infinity-norm 0 6 1457.45 6.69e+003 1 30 1451.35 2.59541e-007 1.31e+003 2 36 1450.36 1 1.17e+003 3 42 1445.34 1 700 4 48 1445.12 1 433 Optimization terminated: relative infinity-norm of gradient less than options.TolFun. %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Diagnostic Information Number of variables: 11 Functions Objective: full_bekk_mvgarch_likelihood Gradient: finite-differencing Hessian: finite-differencing (or Quasi-Newton) Algorithm selected medium-scale: Quasi-Newton line search %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% End diagnostic information Gradient's IterationFunc-count f(x) Step-size infinity-norm 0 12 1445.12 4.61e+003 1 84 1444.69 1.12156e-008 905 Optimization cannot make further progress: relative change in x less than options.TolX. ans = 0.1777 0.1670 0.0356 0.0956 0.0000 -0.0000 0.0956 0.9868 0.0001 -0.0000 0.9869 |
|
熟悉论坛请点击新手指南
|
|
| 下载说明 | |
|
1、论坛支持迅雷和网际快车等p2p多线程软件下载,请在上面选择下载通道单击右健下载即可。 2、论坛会定期自动批量更新下载地址,所以请不要浪费时间盗链论坛资源,盗链地址会很快失效。 3、本站为非盈利性质的学术交流网站,鼓励和保护原创作品,拒绝未经版权人许可的上传行为。本站如接到版权人发出的合格侵权通知,将积极的采取必要措施;同时,本站也将在技术手段和能力范围内,履行版权保护的注意义务。 (如有侵权,欢迎举报) |
|
京ICP备16021002号-2 京B2-20170662号
京公网安备 11010802022788号
论坛法律顾问:王进律师
知识产权保护声明
免责及隐私声明