Density forecast evaluation for dependent financial data: Theory and applications
In this paper, we propose a formal test for density forecast evaluation in presence of dependent data. Apart from accepting or rejecting the tested model, our smooth test identifies the possible sources (such as the location, scale and shape of the distribution) of rejection, thereby helping in revi...
Saved in:
Main Authors: | GHOSH, Aurobindo, BERA, Anil K. |
---|---|
格式: | text |
語言: | English |
出版: |
Institutional Knowledge at Singapore Management University
2015
|
主題: | |
在線閱讀: | https://ink.library.smu.edu.sg/lkcsb_research/5087 https://ink.library.smu.edu.sg/context/lkcsb_research/article/6086/viewcontent/densityforecastdep2016.pdf |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
機構: | Singapore Management University |
語言: | English |
相似書籍
-
Smooth test for density
由: GHOSH, Aurobindo, et al.
出版: (2005) -
Smooth Test of Density Forecast Evaluation with Independent and Serially Dependent Data
由: GHOSH, Aurobindo
出版: (2004) -
Neyman's smooth test and its use in econometrics
由: BERA, Anil K., et al.
出版: (2001) -
Neyman's Smooth Test and its applications in econometrics
由: BERA, Anil K., et al.
出版: (2002) -
Diagnostics for conditional heteroscedasticity models: Some simulation results
由: Tsui, A.K.
出版: (2011)