Division 06 · Research & Simulation
Experiment with ideas. Understand the outcomes.
Financial research, modelling, forecasting and simulation — with clear research questions, transparent methods, reliable sources and stated limitations. Simulated values are always labelled as illustrations.
Research platform
ARBIMETRA LAB
Discover. Analyze. Understand.
ARBIMETRA LAB is a free, browser-based laboratory for simulation, statistical analysis and econometric research. Upload a CSV or Excel file, or start with a sample dataset, then run established methods and read a plain-language explanation of each result.
Calculations use the open-source scientific libraries NumPy, SciPy, pandas and statsmodels, and interpretations are generated by fixed rules from your actual results. Your dataset is analysed in your own browser and is not uploaded to ARBIMETRA.
Free Access · No Registration Required
Four modules
Simulation Lab
Monte Carlo simulation, probability experiments and interactive simulations.
Statistics Lab
Data analysis, descriptive statistics, correlation, regression and statistical diagnostics.
Econometrics Lab
Time-series analysis, stationarity testing, cointegration, forecasting, VAR and other econometric models.
Academic Research & Reports
Research workflows, interpretation, findings, charts and report generation.
What you can do
Simulation
- Monte Carlo decision modelling with expected profit, probability of loss, percentiles and scenario comparison
- Probability experiments compared with exact theoretical results
- Convergence charts and reproducible seeded runs
Statistics
- CSV and Excel import with data validation and missing-value reports
- Descriptive statistics, correlation and covariance
- Ordinary least squares with ANOVA and robust standard errors
- VIF, Breusch-Pagan, White, Durbin-Watson, Breusch-Godfrey and Jarque-Bera tests
Econometrics
- ADF, Phillips-Perron and KPSS stationarity tests
- Engle-Granger and Johansen cointegration
- AR, MA, ARMA and ARIMA models with forecast intervals
- VAR and VECM, Granger causality, impulse responses and variance decomposition
- CUSUM and CUSUM of squares stability tests
Academic research
- The Story Behind the Results: what was tested, your results, what they mean and what to do next
- Structured reports covering objectives, data, methods, findings and limitations
- PDF, Excel and CSV exports, and downloadable charts
ARBIMETRA LAB is an educational and research tool. Results and automatically assembled reports should be checked by the researcher and do not replace academic supervision or professional advice.
Interactive now
Simulations and modelling resources
Available
Investment scenario simulation
Monte Carlo simulation of a long-term investment, showing the spread of possible outcomes under your assumptions.
Available
Valuation and project models
NPV, IRR, payback, WACC and EVA calculators for capital budgeting and business valuation exercises.
Available
Forecasting and scenarios
Loan, savings, retirement and inflation scenarios built on the time-value-of-money calculators.
Research standards
How ARBIMETRA research is produced
- A clear research question stated at the start
- Transparent methodology and appropriate statistical methods
- Reliable, cited data sources with dates
- Reproducible analysis where possible
- Stated limitations, and facts separated from interpretation and opinion
Planned research areas
Where the research will focus
- Bangladesh economic analysis and inflation
- Banking sector research
- Capital market research
- Investment, portfolio and risk simulation
- Financial case studies and forecasting models
Publications
Research publications
Methodology: Investment Scenario Simulation (Monte Carlo)
How ARBIMETRA’s investment scenario simulation generates return paths, what it assumes, how it was tested and where it falls short.