About
Rigorous analysis, explained clearly.
NashBridge Analytics is a data analytics and business intelligence consultancy based in Victoria, British Columbia. It helps organizations turn complex or fragmented data into clearer, more useful information.
Who I am
I’m Najeh Chaabane, an economist and quantitative analyst. I hold a PhD in Economics, validated by WES as Canadian-equivalent, and I have more than a decade of university teaching experience.
My background spans statistics, econometrics, research and data analytics.
After more than a decade of research and teaching, I kept seeing the same gap: the organizations that could benefit most from careful analysis — small businesses, nonprofits, local public bodies — were the least likely to have anyone doing it. NashBridge is my attempt to close that gap in Victoria, with the rigour of academic work and the practicality that a small team actually needs.
Credentials
- PhD in Economics, 2013 · Habilitation (HdR), 2024
- Former Assistant Professor — taught statistics, financial modelling and economics; supervised seven M.Sc. theses
- Eleven peer-reviewed journal articles and a book chapter, including Energy Economics, International Journal of Finance & Economics, Research in International Business and Finance, The Quarterly Review of Economics and Finance and Journal of Economic Studies
- IBM Data Analytics · Microsoft AI-900
- Federal bilingual certification (PSC C/C/E)
PublicationsShow all publications
Journal articles
- 2026
Gaies, B., Chaabane, N., Arfaoui, N., Sahut, J.M.
International Journal of Finance & EconomicsDOI 10.1002/ijfe.70128
- 2025
Cyber risk, market fear and financial instability: hunting down risk through contagion analysis
Gaies, B., Chaabane, N., Sahut, J.M.
Journal of Economic StudiesDOI 10.1108/JES-02-2025-0131
- 2025
Climate transition risks, ESG sentiment and market value: Insights from the European stock market
Gaies, B., Chaabane, N., Adeosun, O.A., Sahut, J.M.
Energy Economics, 148, 108605DOI 10.1016/j.eneco.2025.108605
- 2024
Dynamics of global energy, geopolitics, and climate policy on inflation: a cross-regional analysis
Chaabane, N.
Development and Sustainability in Economics and FinanceDOI 10.1016/j.dsef.2024.100017
- 2024
Gaies, B., Chaabane, N., Arfaoui, N., Sahut, J.M.
Research in International Business and Finance, 70(A), 102302DOI 10.1016/j.ribaf.2024.102302
- 2024
Gaies, B., Chaabane, N.
Journal of Economic Studies, 51(3), 546–568DOI 10.1108/JES-03-2023-0158
- 2024
Gaies, B., Chaabane, N., Bouzouita, N.
The Quarterly Review of Economics and Finance, 93, 43–70DOI 10.1016/j.qref.2023.11.007
- 2022
Elmalki, A., Chaabane, N., Benammar, R.
International Journal of Blockchains and Cryptocurrencies, 3(3), 256–268DOI 10.1504/IJBC.2022.126287
- 2014
Chaabane, N.
Journal of Applied Statistics, 41(3), 635–651DOI 10.1080/02664763.2013.847068
- 2014
A hybrid ARFIMA and neural network model for electricity price prediction
Chaabane, N.
International Journal of Electrical Power & Energy Systems, 55, 187–194DOI 10.1016/j.ijepes.2013.09.004
- 2012
Modelling power spot prices in deregulated European energy markets: a dual long memory approach
Chaabane, N., Saâdaoui, F., Benammou, S.
Global Business and Economics Review, 14(4), 338–361DOI 10.1504/GBER.2012.049870
Book chapter
- 2023
Chaabane, N., Elmalki, A.
Handbook of Research on Blockchain Technology and the Digitalization of the Economy, IGI Global, pp. 346–363DOI 10.4018/978-1-6684-7455-6.ch017
Areas of expertise
- Statistics
- Econometrics
- Quantitative methods
- Economics
- Research
- Data analysis
- Business intelligence
Toolkit
- Python
- R
- SQL
- BigQuery
- Dataform
- Power BI
- DAX
- Tableau
- Excel / VBA
- Stata
- EViews
- SPSS
- SAS
- Google Cloud
Tools support the work. They aren’t the point of it.
How I work
Every project starts by understanding the problem. The typical sequence:
- 01
Understand
Your goals, your data and the decisions it needs to support.
- 02
Assess
Data quality, reporting gaps and analytical challenges.
- 03
Analyze
Appropriate quantitative and analytical methods.
- 04
Visualize
Important information in a form people can understand.
- 05
Improve
Automate or streamline repetitive processes where it helps.
- 06
Support
Help your team use the results with confidence.
What I believe about analytics
Good analytics shouldn’t make information more complicated. It should make important information easier to understand.
I combine analytical rigour with practical communication, so that data becomes useful to the people making decisions.
Working in English or French
I deliver work, from the first conversation to the final report, in English or French.
How I handle your data
Client data is stored in a Canadian Microsoft 365 tenant and accessed only by me. I use it solely for the work you’ve engaged me to do.
Nothing from a client project appears on this site or in any public example without written permission, and anonymized examples are labelled as such.
When an engagement ends, your data is returned or securely deleted at your choice, and I confirm it in writing.
Let’s make your data more useful.
Have a reporting, analytics or data challenge? Let’s discuss what you’re working with and what you need to accomplish.