Generating innovations in economic variables
Stock prices should respond only to unpredictable components of economic news ('innovations') in efficient markets. While innovations used in empirical investigations of the economic underpinnings of stock market risk should at least satisfy this basic requirement, this may not guarantee satisfactory research results. Three methods of generating innovations are evaluated for a variety of economic variables. First differencing produces unsatisfactory, serially correlated innovations in general. Both ARIMA and Kalman Filter innovations are unpredictable, but in a further evaluation the component scores from Principal Components Analysis are regressed against economic innovations using PcGets. The results are far less noisy when Kalman Filter innovations are used.
Volume (Year): 4 (2008)
Issue (Month): 6 ()
|Contact details of provider:|| Web page: http://www.tandfonline.com/RAFL20|
|Order Information:||Web: http://www.tandfonline.com/pricing/journal/RAFL20|
When requesting a correction, please mention this item's handle: RePEc:taf:apfelt:v:4:y:2008:i:6:p:409-415. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Michael McNulty)
If references are entirely missing, you can add them using this form.