基于R语言的时间序列分析以及garch模型拟合

[{"title":"（ 15 个子文件 2.05MB ） 基于R语言的时间序列分析以及garch模型拟合","children":[{"title":"0710（1）","children":[{"title":"GARCH模型残差图.png <span style='color:#111;'> 5.95KB </span>","children":null,"spread":false},{"title":"基于ARIMA模型的证券利率时间序列研究预测_吕淑睿.pdf <span style='color:#111;'> 1.90MB </span>","children":null,"spread":false},{"title":"DATA308.csv <span style='color:#111;'> 3.92KB </span>","children":null,"spread":false},{"title":"残差图.png <span style='color:#111;'> 5.32KB </span>","children":null,"spread":false},{"title":"偏自相关（平稳性处理后）.png <span style='color:#111;'> 4.00KB </span>","children":null,"spread":false},{"title":"自相关图（平稳化处理前）.png <span style='color:#111;'> 3.48KB </span>","children":null,"spread":false},{"title":"证券利率.R <span style='color:#111;'> 912B </span>","children":null,"spread":false},{"title":".RData <span style='color:#111;'> 108.40KB </span>","children":null,"spread":false},{"title":"预测的12个月.png <span style='color:#111;'> 5.75KB </span>","children":null,"spread":false},{"title":".Rhistory <span style='color:#111;'> 22.04KB </span>","children":null,"spread":false},{"title":"DATA308.xlsx <span style='color:#111;'> 14.96KB </span>","children":null,"spread":false},{"title":"时间序列图（平稳化处理前）.png <span style='color:#111;'> 4.36KB </span>","children":null,"spread":false},{"title":"自相关图（平稳化处理后）.png <span style='color:#111;'> 3.41KB </span>","children":null,"spread":false},{"title":"时间序列图（平稳化处理后）.png <span style='color:#111;'> 4.70KB </span>","children":null,"spread":false},{"title":"偏自相关（平稳性处理前）.png <span style='color:#111;'> 3.57KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]