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positivecarry.academy@gmail.com

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Have any questions, send an e-mail to: positivecarry.academy@gmail.com

Have any questions, send an e-mail to: positivecarry.academy@gmail.com

What if you can overcome that fear in just over a few weekends?

The easiest part of academic writing/manuscript writing/publication in finance and/or economics/econometrics is the empirical sections. However, that is where most people struggle, delay, and sometimes give up. This handicap comes from poor background in basic mathematics/ statistics, econometrics, coding, and the use of statistical and econometric software in general. This breeds a very unhealthy fear for early career researchers, especially.

Well, you should learn from one of the best. Enroll in a crash course to learn and implement one main empirical technique (and supporting techniques) in just over two weekends, by your own hands. A weekend course provides all you need to complete one empirical chapter or one manuscript. From theory → method → estimation → results → analysis.

Contents of one Class/Cohort

  • One main method/technique theory → methodology → estimation → results → analysis.
  • 1-2 supporting/auxiliary/motivating methods.
  • Bonus - descriptive statistics.

Pre-course training

  • 2-hour into R session.

Post class /training side attractions:

  • A 90-day mentorship window to complete one manuscript*
  • Foolproof codes for your own estimations and practice.
  • Error/code fixing.
  • Accredited journal suggestions
  • Data sourcing suggestions
  • Access to recorded sessions

4

max. class size

Mode of delivery

→ Online via Zoom.
→ Onsite delivery can be arranged. Cohort will bear the cost of transportation and logistics.

.

Terms

→ Payment must be made before start of class.
→ Zoom links are shared a day/hours before class begins.

Techniques toolbox

  • Quantile regressions
  • Causality in-quantiles
  • Non-linear causality
  • EFA, CFA, SEM
  • Entropy
  • Wavelets – bi-variate, partial, multiple
  • Connectedness indices
  •       Diebold – Yilmaz
  •       Barunik and Krehlik connectedness indices.
  •       VAR, TVP-VAR, QVAR connectedness
  • Frequency – domain
  • Time – domain
  • Time – frequency domain
  • Tail risk modelling
  • GAS- and GARCH-based on VaR, ES, and VaRES
  • Model confidence set for model ranking
  • Model Predictive Ability
  • Back testing
  • Higher moments modeling
  • Generalised lambda distribution, asymmetric distributions
  • Spatial autocorrelation (Moran’s I)
  • Network analysis
  • Tree – Assisted Naïve Bayes Network (TAN-BN)
  • Panel data modelling
  •       Fixed effects, Random effect
  •       Instrumentation for Endogeneity
  •       Generalised method of moments
  • Quantile panel regression
  • Linear and non-linear ARDL
  • Quantile ARDL
  • Quantile cointegration
  • Bibliometric analysis

Concepts/ Theories
Addressed By The Techniques

  • Linear and non-linear causality
  • Non-linearity
  • Asymmetry
  • Diversification, hedge, safe – haven
  • Interdependence, spillover, connectedness, co-movement
  • Contagion – time-varying, shifting contagion
  • Efficient market hypothesis (EMH), Heterogeneous market hypothesis (HMH), Adaptive market hypothesis (AMH), and Competitive market hypothesis (CMH)
  • Tail risk; fat tails
  • Volatility clustering
  • Predictability
  • Network
  • Complex causal/relational associations
  • Hierarchical explanatory regression for mediation/moderation
  • Information transmission
  • Event study
  • Flight-to-quality, flight-to-safety
  • Endogneity and instrumentation
  • Long-run relationships
  • And many more

Getting In Touch/Setting Up

  • If you know the exact techniques/methods you want to use, list them.
  • If you need assistance identifying your method, explain your objective and direction of the research. We will suggest techniques for you.
  • If you already have a group of 4, we can set up the dates.
  • If you are alone, you will have to wait for the class of your identified method to be full.

Have any Questions?

positivecarry.academy@gmail.com

Get in touch

Contact Form

    indicate one main technique and/or concept, if you know (from the list)

    Testimonial

    Client’s Feedback

    Ratings

    Dr. Owusu Junior exhibited an in-depth understanding of the subject matter and was able to communicate even the most difficult concepts in a clear and engaging manner. His mastery of contemporary techniques and methods in Financial Econometrics is unparalleled. He meticulously designed each module to provide a balanced blend of theoretical concepts and practical applications, ensuring that participants acquired a comprehensive understanding of both the underlying theory and its practical applications.

    KSO
    Assistant Prof. of Finance, International University of Grand-Bassam.
    Ratings

    Dr Owusu Junior’s online classes are uniquely engaging and well-tailored to address all needs. The few virtual classes we had have paved way for me to flesh out my PhD thesis with ease. I won’t blink in recommending his classes to any interested person.

    U-F
    A PhD. Candidate, University of the Witwatersrand.
    Ratings

    Dr Owusu Junior is such an amazing tutor and one of the few I have encountered. He made econometrics using R easy for beginners to understand. His teaching style and technique has left a memorable impression on me and made my PhD journey a lot more easier.

    Providence
    PhD Candidate, University of South Africa
    Ratings

    One of the difficult challenges for a PhD candidate can be the use of open-source software for advanced econometrics. However, in-depth knowledge and insightful engagements with Dr. Owusu Junior of selected cutting-edge models for analysis with R have made my PhD thesis very easy. Currently, I have been able publish papers in top-tier journals and at the completion stage of my PhD thesis.

    Moh Armah
    PhD Candidate, GIMPA