Introduction |
Access to Financial and Economic Databases |
The DATASOURCE procedure and the SAS/ETS data access interface LIBNAME Engines (SASECRSP, SASEFAME and SASEHAVR) provide seamless, efficient access to time series data from data files supplied by a variety of commercial and governmental data vendors.
The DATASOURCE procedure includes the following features:
support for data files distributed by the following data vendors:
DRI/McGraw-Hill
FAME Information Services
HAVER ANALYTICS
Standard & Poors Compustat Service
Center for Research in Security Prices (CRSP)
International Monetary Fund
U.S. Bureau of Labor Statistics
U.S. Bureau of Economic Analysis
Organization for Economic Cooperation and Development (OECD)
ability to select the series, frequency, time range, and cross sections of extracted data
ability to create an output data set containing descriptive information on the series available in the data file
ability to read EBCDIC data on ASCII systems and vice versa
The SASECRSP interface LIBNAME engine includes the following features:
enables random access to time series data residing in CRSPAccess databases
provides a seamless interface between CRSP and SAS data processing
uses the LIBNAME statement to enable you to specify which time series you would like to read from the CRSPAccess database, and how you would like to perform selection
enables you access to CRSP Stock, CRSP/COMPUSTAT Merged (CCM) or CRSP Indices Data.
provides convenient formats, informats, and functions for CRSP and SAS datetime conversions
The SASEFAME interface LIBNAME engine includes the following features:
provides SAS and FAME users flexibility in accessing and processing time series data, case series, and formulas that reside in either a FAME database or a SAS data set
provides a seamless interface between FAME and SAS data processing
uses the LIBNAME statement to enable you to specify which time series you would like to read from the FAME database
enables you to convert the selected time series to the same time scale
works with the SAS DATA step to perform further subsetting and to store the resulting time series into a SAS data set
performs more analysis if desired either in the same SAS session or in another session at a later time
supports the FAME CROSSLIST function for subsetting via BYGROUPS using the CROSSLIST= option
you can use a FAME namelist that contains your BY variables for selection in the CROSSLIST
you can use a SAS input dataset, INSET, that contains the BY selection variables along with the WHERE= option in your SASEFAME libref
supports the use of FAME in a client/server environment that uses the FAME CHLI capability on your FAME server
enables access to your FAME remote data when you specify the port number of the TCP/IP service that is defined for your FAME server and the node name of your FAME master server in your SASEFAME libref’s physical path
The SASEHAVR interface LIBNAME engine includes the following features:
enables Windows users random access to economic and financial data residing in a HAVER ANALYTICS Data Link Express (DLX) database
the following types of HAVER data sets are available:
United States Economic Indicators
Specialized Databases
Financial Indicators
Industry
Industrial Countries
Emerging Markets
International Organizations
Forecasts and As Reported Data
United States Regional
enables you to limit the range of data that is read from the time series
enables you to specify a desired conversion frequency. Start dates are recommended on the LIBNAME statement to help you save resources when processing large databases or when processing a large number of observations.
enables you to use the WHERE, KEEP, or DROP statements in your DATA step to further subset your data
supports use of the SQL procedure to create a view of your resulting SAS data set
Copyright © 2008 by SAS Institute Inc., Cary, NC, USA. All rights reserved.