The ‘Forecast static items’ are the basic information related to an instrument which does not change on a regular basis. Examples of ‘Forecast static items’ include Recommendation, Target Price, Year End Month, Multiplier, etc. The Forecast Static Information Types can be added to the system with the help of this ADBMS tool.
In this document, we shall illustrate the below steps involved in completing//updating the Static Item.
To perform these steps, Login to ADBMS tool using the ResearchWise credentials.
Step1: Click on the ‘ADBMS static’ node from ‘Miscellaneous’ section.
Step2: Under the ‘Static information’ section, click on the ‘New’ button to
add a new static information type.
Step3: Type in the static code, its
description and select the other Static properties as shown in the figure below.
A brief description of each Static item fields and its properties are mentioned
below.
a. Static Code: The Static Code begins with the sign ‘@’. The system accepts alphabetical as well as alpha-numeric values for Static Codes. The existing codes in the system are provided in a manner that enables faster identification of Static Codes with the items that they refer to.
b.
Static Description: This is a brief description for
a Static item.
c.
Static Datatype: The available static data types
in system are ‘Date’ (Date format), ‘Numeric’ (numeric format) and ‘String’ (alpha-numeric
format). This affects the format in which the static information is to be
uploaded in the system.
d.
Required Field: This field determines if it
is mandatory for the data of particular ‘Static Item’ to be present during
uploading financial data of a financial model to the system. From the ‘Required
field’ drop down list, select the option ‘Yes’ if the static information is a
required field.
e. Allow Blanks: Allow/Permitting blanks for static items implies that an error is not generated if there is no data present for a particular ‘Static Item’ during uploading financial data of a financial model. If the option ‘No’ is selected, then the system would not allow the upload of financial data in a financial model to the system if there is no data present for the particular static item. From the ‘Allow blanks’ drop down list, select the ‘Yes’ option if blanks are permitted as values for the static information.
f.
Display: This displays the Forecast
Static Information and enables the user to retrieve data through ‘Excel
Retriever’ tool within the ‘ResearchWise System’. From the ‘Display’ drop down
list, select the option ‘Yes’ if the static information type is to be displayed
during retrieval.
g. Sensitive Item: If an item is set up as a
sensitive item, then the restrictions applicable for retrieval of sensitive
items will apply to this static item also. Select whether the static item is
sensitive or not by selecting ‘Yes’ or ‘No’ option from the ‘Sensitive item’
dropdown list.
Step4: Click on the ‘Add’ button to add the Forecast Static Item to the database.
Step5: A pop-up window appears on the screen
confirming the successful addition of the static item. Click on the ‘OK’ button
to complete the process.
The
ADBMS enables the System Administrator to define the permissible values for the
data of a Static Item. For example, the System Administrator specifies the
permissible values for ‘Recommendation’ as ‘BUY’, ‘HOLD’ and ‘SELL’. Hence
while uploading the Financial Model, the system will not permit any other
values as Recommendation. The setting of the ‘Allowable Values’ for each ‘Static
Item’ has to be set individually with reference to the ‘Forecast Source’ and
‘Accounting Template’.
Step1: Under ‘Allowable values’ section, select the ‘Berenberg Live Information
source’ from the dropdown list.
Step2: Select the accounting template from the ‘Accounting Template’ dropdown
list. The ‘Accounting Template’ refers to the ‘ResearchWise Sheet’ that is used
to upload financial information in the model to the database.
Select the operator and the constraint value from
the respective dropdowns. The available operators for numeric static data type
in the system are ‘=’, ‘>’, ‘<’, ‘<=’, ‘>=’, ‘Any’. The
functionality of the various operators is explained below:
Operator Explanation
= Accepts only the specified value for the forecast static information
< Accepts values lesser than the specified value for the forecast static information.
> Accepts values greater than the specified value for the forecast static information.
<= Accepts values less than or equal to the specified value for the forecast static information.
>= Accepts values greater than or equal to the specified value for the forecast static information.
Any Accepts any value for the forecast static data
type.
Step4: The constraints are different for different Static Data Types such as Date, String and Numeric. An example for each data type is given below for better understanding.
‘DATE’ Static Data TypeFor Date and Numeric Data Types, if a particular allowable value is to be defined as a combination of two constraints, the System Administrator needs to click on the ‘And’ button. This enables us to add two constraints for an allowable value.
‘STRING’ Static Data Type
For
example, the requirement is to allow only defined text as input value for the
static item. Then we must setup the allowable as that Keyword in the Constraint
textbox.
Step5: Click on the ‘Add’ button to add the value constraint for the selected static type, forecast source and accounting template.
Step6: The system displays the constraint(s) in a window. Confirm the correctness of the value constraint. Click on the ‘Done’ button to complete the process of addition of allowable values for the selected static information types.
In case
the value constraint is incorrect, select the value constraint and click on the
‘Remove’ button to remove the value constraint from the system.
The System Administrator can manage the ‘Forecast
Source’ to which the data for static items in a financial model can be
uploaded. This can be achieved by mapping a particular Forecast Static Type, to
a Forecast Source.
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