| Article ID | Journal | Published Year | Pages | File Type | 
|---|---|---|---|---|
| 5060503 | Economics Letters | 2012 | 5 Pages | 
Abstract
												⺠We assess out-of-sample volatility forecasting performance of the Mixed Data Sampling (MIDAS) model. ⺠The MIDAS model offers statistically better forecasting precision for highly volatile periods. ⺠This finding is mainly due to MIDAS' ability to exploit fluctuations in higher frequency data. ⺠The results suggest fruitful implications for stress testing, option pricing, and trading options.
											Keywords
												
											Related Topics
												
													Social Sciences and Humanities
													Economics, Econometrics and Finance
													Economics and Econometrics
												
											Authors
												C. Emre Alper, Salih Fendoglu, Burak Saltoglu, 
											