Viktor Todorov and Yang Zhang, "Information Gains from using Short-Dated Options for Measuring and Forecasting Volatility", Journal of Applied Econometrics, Vol. 37, No. 2, 2022, pp. 368-391. The raw data used in the article are from the OptionMetrics Ivy DB US, NYSE Trade and Quote (TAQ), and TickData databases. These are proprietary data sets and do not permit open access. Hence the raw data could not be stored here. The csv file "Todorov-Zhang-JAE-2021.csv" provides the key variables used to generate the volatility forecasting results in Tables 2-4. The file contains 6 volatility estimators for the S&P 500 Index over the period from 2008-01-03 to 2018-12-31. After data filtering, each variable has 2758 observations. Details about data filtering are provided in the Online Appendix. The file Todorov-Zhang-JAE-2021.csv is an ASCII file in DOS format. It is zipped in the file tz-data.zip. Unix/Linux users should use "unzip -a". The column names are consistent with the notation in the paper: Date: date in the format of yyyy-mm-dd RV: realized volatility calculated as described in Section 2.1, equation (2) TV: truncated volatility calculated as described in Section 2.1, equation (3) OV: option-implied spot volatility calculated as described in Section 2.2, equation (8) EV: optimal spot volatility calculated as described in Section 2.3, equation (10) ORV: efficient total quadratic variation calculated as described in Section 4.2, equation (31) JV: risk neutral jump variation as described in Section 5.1 All variables are annualized and reported in variance units. The VIX index data used to generate the predictive regression results in Figure 5 is downloaded from the CBOE website. The market return data is downloaded from the Kenneth R. French Data Library. Permission to use this shared data and any questions should be directed to: Viktor Todorov Department of Finance, Kellogg School of Management Northwestern University Evanston, IL 60208, United States of America Email: v-todorov [AT] northwestern.edu