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POSITIVECARRY.ACADEMY@GMAIL.COM


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Complete your in record time PhD THESIS/
MASTER THESIS/
MANUSCRIPT Register now


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

Mode of DeliveryOnline via ZoomOnsite delivery
Mode of Delivery
 * Mode of Delivery
 * Online via Zoom
 * Onsite delivery



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



Get A Quote


Testimonial


CLIENT’S FEEDBACK

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
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
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.