Technical Analyst, Vermilion Research

Joe Jasper

Technical Analyst

Technical and Quantitative Research

Vermilion Research

Vermilion’s objective is to deliver timely, actionable, and unique technical research to professional investors through the application of our various technical indicators.

Our research strategists seek to highlight securities which we believe are at major inflection points, based on our various technical and quantitative indicators, and offer asymmetric risk/return profiles. Our unique research methodology, centered on relative strength, enables our strategists to deliver superior investment recommendations.

Our process begins by organizing the universe of actively traded stocks into discrete sectors, then into industry groups. We then apply our technical and quantitative tools to identify developing price trends. Once attractive trends are identified within a selected sector or group, we screen for individual stocks which we believe offer the best risk/reward profile. We provide a historical perspective that often reveals, through our long-term charts, how price patterns often repeat themselves over time.

Technical Analysis

<ul>
<li>Global equities (MSCI ACWI) have marginally broken above the top-end of our anticipated 2023 trading range of $93 on ACWI-US.</li>
<li>In our 4/18/23 Int’l MacroVision we acknowledged that a break above $93 and a reach to $96-$97 was also possible – and so far, this is what has played out.</li>
<li>We will continue to watch the $93 level for a potential false breakout, but as long as the ACWI-US is above $90.50, we cannot be bearish.</li>
</ul>


Global equities (MSCI ACWI) have marginally broken above the top-end of our anticipated 2023 trading range of $93 on ACWI-US.
In our 4/18/23 Int’l MacroVision we acknowledged that a break above $93 and a reach to $96-$97 was also possible – and so far, this is what has played out.
We will continue to watch the $93 level for a potential false breakout, but as long as the ACWI-US is above $90.50, we cannot be bearish.


MSCI EM Improving; Buys in Value & Large-Cap EM; Remain Overweight Japan, India, Taiwan, and Greece

Global Emerging Market Equities, Propitious Research

Wium Malan, CFA

Global Emerging Market Equities

Independent, Fundamental Quantitative Research

Propitious Research

Fully independent, fundamental and quantitative equity research, focused on companies in the Telecommunication, Media, Technology, Internet and Healthcare sectors in the Global Emerging Markets. Idea generation focused on Quality stocks, trading below their intrinsic Value, with sound Corporate Governance.

Quantitative Analysis

<ul>
<li>An overview (and output) of our machine learning-driven GEM screening model, which seeks to find the best medium-term long ideas within the top 100 stocks in the MSCI GEM Index.</li>
<li>The model is based on 1) a quantitative multifactor screening model, enhanced by two AI Technology-based approaches; 2) a Deep Neural Network model, and 3) a Recurrent Neural Network model.</li>
<li>Developed over roughly 4 years and implemented in its current state for over 3 years, the model has a solid real-world alpha-generating performance track record, discussed in detail below.</li>
</ul>


An overview (and output) of our machine learning-driven GEM screening model, which seeks to find the best medium-term long ideas within the top 100 stocks in the MSCI GEM Index.
The model is based on 1) a quantitative multifactor screening model, enhanced by two AI Technology-based approaches; 2) a Deep Neural Network model, and 3) a Recurrent Neural Network model.
Developed over roughly 4 years and implemented in its current state for over 3 years, the model has a solid real-world alpha-generating performance track record, discussed in detail below.


<ul>
<li>An overview (and output) of our machine learning-driven GEM screening model, which seeks to find the best medium-term long ideas within the top 100 stocks in the MSCI GEM Index.</li>
<li>The model is based on 1) a quantitative multifactor screening model, enhanced by two AI Technology-based approaches; 2) a Deep Neural Network model, and 3) a Recurrent Neural Network model.</li>
<li>Developed over roughly 4 years and implemented in its current state for over 2.5 years, the model has a solid real-world alpha-generating performance track record, discussed in detail below.</li>
</ul>


An overview (and output) of our machine learning-driven GEM screening model, which seeks to find the best medium-term long ideas within the top 100 stocks in the MSCI GEM Index.
The model is based on 1) a quantitative multifactor screening model, enhanced by two AI Technology-based approaches; 2) a Deep Neural Network model, and 3) a Recurrent Neural Network model.
Developed over roughly 4 years and implemented in its current state for over 2.5 years, the model has a solid real-world alpha-generating performance track record, discussed in detail below.


Thematic (Sector/Industry)

<ul>
<li>The Global Emerging Markets weekly provides a summary of the key news and related developments impacting the largest countries and constituents of the Global Emerging Markets equity indices.</li>
<li>In our final weekly for the year, we look back at 2022 to see which stocks, countries, and currencies out and underperformed in the Global Emerging Markets.</li>
<li>We also look forward to 2023F to see what’s expected for the major GEM economies next year.  </li>
</ul>


The Global Emerging Markets weekly provides a summary of the key news and related developments impacting the largest countries and constituents of the Global Emerging Markets equity indices.
In our final weekly for the year, we look back at 2022 to see which stocks, countries, and currencies out and underperformed in the Global Emerging Markets.
We also look forward to 2023F to see what’s expected for the major GEM economies next year.  


<ul>
<li>An overview (and output) of our machine learning-driven GEM screening model, which seeks to find the best medium-term long ideas within the top100 stocks in the MSCI GEM Index.</li>
<li>The model is based on 1) a quantitative multifactor screening model, enhanced by two AI Technology-based approaches; 2) a Deep Neural Network model, and 3) a Recurrent Neural Network model.</li>
<li>Developed over roughly 4 years and implemented in its current state for over 2 years, the model has a solid real-world alpha-generating performance track record, discussed in detail below.</li>
</ul>


An overview (and output) of our machine learning-driven GEM screening model, which seeks to find the best medium-term long ideas within the top100 stocks in the MSCI GEM Index.
The model is based on 1) a quantitative multifactor screening model, enhanced by two AI Technology-based approaches; 2) a Deep Neural Network model, and 3) a Recurrent Neural Network model.
Developed over roughly 4 years and implemented in its current state for over 2 years, the model has a solid real-world alpha-generating performance track record, discussed in detail below.


Brazil

Petroleo Brasileiro S.A. - Petrobras explores for and produces oil and natural gas.  The Company refines, markets, and supplies oil products.  Petrobras operates oil tankers, distribution pipelines, marine, river and lake terminals, thermal power plants, fertilizer plants, and petrochemical units.  The Company operates in South America and elsewhere around the world.

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Petroleo Brasileiro (PETR3 BZ)

MSCI EM Improving; Buys in Value & Large-Cap EM; Remain Overweight Japan, India, Taiwan, and Greece

MSCI EM Improving; Buys in Value & Large-Cap EM $TSM #Samsung $BABA; Remain Overweight Japan, India, Taiwan, and Greece. $ACWI break above $93 and...

Vermilion Research

Screening for GEMs: May 2023

This insight provides an overview of our, machine learning-driven, proprietary GEM screening model, based on a Multifactor model, a Deep Neural...

Wium Malan, CFA

Screening for GEMs: January 2023

This insight provides an overview of our, machine learning-driven, proprietary GEM screening model, based on a Multifactor model, a Deep Neural...

Wium Malan, CFA

GEM Weekly: 2022 Yearend Edition

In our final weekly for the year, we look back at 2022 to see which GEM stocks, countries, and currencies out and underperformed, and look forward...

Wium Malan, CFA

Screening for GEMs: November 2022

This insight provides an overview of our, machine learning-driven, proprietary GEM screening model, based on a Multifactor model, a Deep Neural...

Wium Malan, CFA

Price Gauge

52-week Range

Market Cap (USDm)

P/E

Dividend (Yield)