IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to follow this author

Alessandro Cardinali

This is information that was supplied by Alessandro Cardinali in registering through RePEc. If you are Alessandro Cardinali, you may change this information at the RePEc Author Service. Or if you are not registered and would like to be listed as well, register at the RePEc Author Service. When you register or update your RePEc registration, you may identify the papers and articles you have authored.

Personal Details

First Name:Alessandro
Middle Name:
Last Name:Cardinali
RePEc Short-ID:pca935
[This author has chosen not to make the email address public]
in new window
  1. Alessandro Cardinali, 2012. "Estimating volatility from ATM options with lognormal stochastic variance and long memory," Applied Financial Economics, Taylor & Francis Journals, vol. 22(9), pages 733-748, May.
  2. Cardinali Alessandro & Nason Guy P, 2011. "Costationarity of Locally Stationary Time Series," Journal of Time Series Econometrics, De Gruyter, vol. 2(2), pages 1-35, January.
  3. Alessandro Cardinali, 2009. "A Generalized Multiscale Analysis Of The Predictive Content Of Eurodollar Implied Volatilities," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 12(01), pages 1-18.

Most cited item

Access and download statistics for all items

For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Alessandro Cardinali should log into the RePEc Author Service

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.