Positive Carry Academy

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MASTER THESIS/
MANUSCRIPT

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

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