Our Services

Empirical models

We provide customized help in empirical models. See the following menu for more details:

 

PSX data

We have a comprehensive coverage of data related to corporate sector of Pakistan. We have the following data:

 

Data Management

We have done many research projects in large data set processing as well as data visualization. Data processing or manipulation can be the most cumbersome part of a research project. Specifically, if a researcher has to manually convert data from fixed format or data with many irregular fields and expressions, that can take a long time. Similarly, many data sets need to be merged with other data sets. We provide customized help in all such tasks. Specifically, we can help in the following areas of data management:

Published Software Components

Our Recent Blog Posts

Log vs simple returns: Examples and comparisons

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Simple vs log returns Properties Conversion from daily to other frequencies MS Excel Example  [Download Example] id date prices simple ri log_ri ri+1 1 1/1/2010 70 1 1/2/2010 72 2.857% 2.817% 102.857% 1 1/3/2010 75 4.167% 4.082% 104.167% 1 1/4/2010 73 -2.667% -2.703% 97.333% 1 1/5/2010 74 1.370% 1.361% 101.370% 1 1/6/2010 76 2.703% 2.667%

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Stata Dates: Conversion from one format to another

Case 1: From String to Stata format Usually, when we import data manually into the Stata Editor, the dates are shown in string format. For example, Nov202011, November202011, or  etc. We can use the gen command with date function gen newdate = date(oldDate, “MDY”)   Case 2: From daily to monthly gen monthly = mofd(daily_date)

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Find annual | monthly cumulative (product) of returns

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The problem Let’s say that we have daily stock returns. We want to convert those returns to cumulative returns for a weekly, monthly or yearly frequency. Where cumulative returns = (1+Ri1) * (1+Ri2) * (1+R3) * … (1+R4) – 1   Solution First create the weekly, monthly or year identifier, and then use asrol program.

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