How can we help?

Our group, StataProfessor, provides paid help in the estimation and application of empirical methods in finance and allied disciplines. So far, we have completed a number of projects. Our core competence is in Stata® programming and statistical analysis. Regarding the nature of the help we provide, we cooperate with researchers throughout the data management, data processing, writing and implementing Stata codes for analysis, or auxiliary analysis that supervisors/donors may ask for.

It is important to note that we do not help in thesis write-up or proofreading of the thesis or any other illegal or unethical practices. We believe in students’ learning, hence we help in the application of empirical methods in finance, develop relevant Stata® codes, share those codes with the student/researchers, and then enable them to apply the relevant steps on their own. So the process is more like paid tuition or paid personal tutor in learning and application of empirical methods in finance, rather than like paid essay-writing or paid help in doing someone’s class assignment.

We have completed a decent number of projects related to asset pricing models, mutual funds performance evaluation, persistence in mutual funds returns, implied cost of equity models, earning management models, momentum portfolio profits, herding behavior models, dynamic panel data models, and others. To see our portfolio of completed projects, click on the ‘Completed Projects’ link above.

Frequently Asked Questions

Q1. Will this paid help negatively interfere with my learning process?
Answer: Not so quite. In fact, our experience with previous projects led us to believe that researchers learned a lot and far more quickly than what they could have learned on their own. During the process, we not only develop relevant Stata/Excel codes for doing a specific task but also enable the researchers to do the same on their own. Researchers can ask questions related to the steps/techniques being taken. So there is no chance of missing the crucial learning process and things that researchers ought to do and learn during a research project. What makes us different from other websites offering illegal solutions such as those selling ready-made essays, we believe in student learning and hence we develop and share codes for statistical analysis and not just the final results tables.

Q2. Shall I have to provide the actual data?

We encourage researchers to provide actual data, though it is not a strict requirement. We respect the confidentiality of the researchers’ identity and their data. Actual data is helpful in applying the statistical analysis and preparing and cleaning it before analysis. This way final analysis is directly linked to the already processed data. However, if researchers choose not to provide their data, still we can develop codes on dummy data that researchers can apply on their own to the actual data.

Q3. How long does it take to finish the analysis?
The duration of the project usually depends upon how quickly we get and prepare the data for the final analysis. It also depends upon the nature of analysis and the number of steps involved. Our previous experience indicates that it takes almost from one week to three weeks’ time to complete a project.

Q4: How interaction/coordination takes place?
We share a Dropbox folder and share our codes, data, and results through that folder. Researchers can access this folder in real-time. Any questions/updates are communicated through emails.

Q5. What is the preferred method of payment?
We accept payment through bank transfer and Paypal, whichever method is convenient and less costly for a customer.

Q6. Do I get suggestions related to methods and tests?
We do provide suggestions on best practices and leave the final decision to the researcher and their supervisors.

Q7. What is the refund policy?
Before the start of a project, if a customer wants to cancel his project, we shall refund the full amount after deducting any bank/ PayPal transfer fee. Once a project is in the completion stages, refunds are not possible. Similarly, after we have shared our paid data with the customers, refunds cannot be issued.

Q8. Are the codes and programs used in paid projects for personal use?
Yes. Codes, techniques, programs, macros, or any other material shared during the project are strictly for personal use and cannot be shared with friends, supervisors, or the general public through emails, internet, or any other means.

Paid Help Pricing

We charge fairly affordable prices when compared to the complexity and number of steps involved in data cleaning, data preparation, and estimation of the relevant empirical models in finance. The following are our price lists for a single model and bundle offers.


Data Cleaning and Management

Raw data needs proper cleaning, merging with other data sets to create the desired set of variables, and usually reshaping from wide format to long. For example, to test a standard asset pricing model such as Fama and French model, one needs to merge financial and share price data, t-bills rates, and market index data before the rest of the analysis. We provide such services for $50 or Rs. 5000


Price of a Single Model

If data is already in ready to use format, then the standard rate is $100 or Rs. 10,000 for a single model. However, the rate might vary with complexities e.g., comparisons of models in two or three different markets, comparisons of models in different economic conditions, or estimating a model on two different time frequencies such weekly and monthly. For each such additional step of analysis, an additional $50 or Rs. 5000 will be charged. Examples of single model definitions are given below:

▬ Application of CAPM using cross-sectional regressions (Fama and Mcbeth, 1973) or time-series regression (Jensen, 1983)

▬ Fama and French three-factor (1993) or Fama and French five-factor (2015) model

▬ Carhart (1997) four-factor model

▬ Event studies models using the market model

▬ Momentum portfolio returns

▬ Panel Data models

▬ Models used in earning management research such as Jhones model, Kanzik model, Dechow et al, and Kothari model

▬ Mutual fund performance evaluation using factor models

▬ Time-series analysis including co-integration, GARCH/ ARACH/ VECM/ VAR, etc.

▬ Implied Cost of Equity models

▬ 2SLS and GMM regressions

▬ Credit risk models, Merton Model, KMV-Merton model

You can ask for a quote through email if a desired model/method is not mentioned in the above list. The email address is


Bundle Offers

In the bundle offer list, the service fee charged per table/model declines significantly. For example, if you choose to follow the methodology of a given paper and want to replicate the results of a table that has 10 different regressions, then the pricing formula is as follows:

▬ Fixed $100 plus $30 for each regression / variation

The bundle offer reduces the price per model from $100 to $65 if there are two models / variations in the analysis; to $55 if there are four models, and so on. This offer is best for Ph.D. and MS level students as the rigor in empirical analysis lend significant support to the hypotheses being tested from a whole lot of angles.

For any additional information, please feel free to contact at:


We respect the privacy and confidentiality of our customers and their data. For complete details in this regard, read our privacy policy by clicking on the link ‘Privacy Policy’ tab. For other frequently asked questions (FAQs), click on the FAQ tab.

Misconception about the paid help

Every now and then, we receive odd requests, such as requests for ready-made proposals, thesis write-up, paper write-up as a ghostwriter, and so on. As before, here we want to clarify that we do not entertain any such requests. Our paid help is only related to writing Stata and Excel codes, data provision, data management, and guidance on selecting appropriate analytical tools. We do not do any of the following activities: doing students’ assignments, writing a thesis, conducting a literature review, developing hypotheses, selling ready-made results, publishing papers for others, or any other activity that might negatively affect students’ learning.