TAILIEUCHUNG - SAS/ETS 9.22 User's Guide 258

SAS/Ets User's Guide 258. Provides detailed reference material for using SAS/ETS software and guides you through the analysis and forecasting of features such as univariate and multivariate time series, cross-sectional time series, seasonal adjustments, multiequational nonlinear models, discrete choice models, limited dependent variable models, portfolio analysis, and generation of financial reports, with introductory and advanced examples for each procedure. You can also find complete information about two easy-to-use point-and-click applications: the Time Series Forecasting System, for automatic and interactive time series modeling and forecasting, and the Investment Analysis System, for time-value of money analysis of a variety of investments | 2562 F Chapter 37 The SASEHAVR Interface Engine Following is an example of the LIBNAME libref SASEHAVR statement LIBNAME libref sasehavr physical-name FREQ MONTHLY By default the SASEHAVR engine reads all time series in the Haver database that you reference by libref. The start_date is specified in the form YYYYMMDD. The start date is used to delimit the data to a specified start date. For example to read the time series in the TEST library starting on July 4 1996 specify the following statement LIBNAME test sasehavr physical-name STARTDATE 19960704 When you use the START option you limit the range of observations that are read from the time series and that are converted to the desired frequency. Start dates can help save resources when processing large databases or when processing a large number of observations. It is also possible to select specific variables to be included or excluded from the SAS data set by using the KEEP or the DROP option respectively. LIBNAME test sasehavr physical-name KEEP ABC XYZ LIBNAME test sasehavr physical-name DROP SC T When the KEEP or the DROP option is used the resulting SAS data set keeps or drops the variables that you select in that option. Three wildcards are available and . The wildcard corresponds to any character string and includes any string pattern that corresponds to that position in the matching variable name. The means that any single alphanumeric character is valid. The wildcard corresponds to a single numeric character. You can also select time series in your data by using the GROUP SOURCE SHORT LONG GEOG1 or the GEOG2 option to select on group name source name short source name long source name geography1 code or the geography2 code respectively. Alternatively you can deselect time series by using the DROPGROUP DROPSOURCE DROPSHORT DROPLONG DROPGEOG1 or the DROPGEOG2 option respectively. Following are examples that perform variable selection or deselection based on groups or sources LIBNAME test sasehavr .

• Tài chính doanh nghiệp
• Hướng dẫn sử dụng SAS ETS
• các mô hình phân tích tài chính
• báo cáo tài chính
• phân tích đầu tư
• phân tích tính khả dụng các khoản đầu tư