3QTR23 UO Matrix via Applied Indexation

In advance: 3QTR23 <U/O> Matrix via Applied Indexation is currently available in multi-sheet format, downloadable thru b-platform Access and PM_composites links.

Featured Clean Tech thematic is derived from a combined Renewables/Diversified Industrials/Technology sector-themed overlay within Invesco’s publicly traded WilderHill Clean Energy subindustry benchmark proxy ETF ticker PBW, utilizing the modularity of business segment operations embedded within company revenue lines to generate effective Tier-2: Alpha and Alpha-Beta screens (adaptive; cross-asset, multi-factor).

>> PBW total return: 3-mos. -24.9%, 3Q23 -21.2%, YTD23 -21.4%; 12-month performance dispersion +171.7%/-75.2% (100623).

>> PBW Fwd adj. PE=23.7 Beta=1.5 versus 28.8/1.5, 29.8/1.5 and 26.7/1.5 sequentially [40.0 limit; N/A totals 59.9% (v. 56.5%) based on portfolio weight and 61.0% of count (+5.0%), 11.8% on market capitalization (+2.1%); Large-cap 18.4% (-3.5%), Mid-cap 42.5% (-4.8%), Small-cap 39.1% (+8.3%)].

>> SPX 12-month Fwd PE=17.9/3Q23 v. 18.9/2Q23, 17.8/1Q23, 17.3/4Q22 (FactSet); CAPE 29.5 from 31.1/29.7/29.2, mean 17.1 (Shiller).

<U/O> Matrix via Applied Indexation segments include Wind, Solar, Fuel Cells, Smart Grid, Water, LED, Biofuel, Automotive, Natural Gas, Storage and Aviation plus further classifications detailing component member assignments based on corporate business segment operations (12 segments, 63 classifications, 270 single and multi-listed component members; n=77).

Successful trading strategies (conventional, systematic, factor-based) and adaptive investable motifs (niche, thematic, megatrend) isolate value in growth, and growth in value, by aligning the prospective Alpha drivers directly associated with ecosystem composition and supply chain verticals (peer group analytics and valuation). Proprietary refined hierarchical data sets isolate drivers of valuation at distinct points of inflection on a relative portfolio-weighted segment/classification basis.

Please message direct with any questions or for product development considerations (cataloged, resourced). 

www.universalorbit.com

note: w/r/t past-positive forward looking indicators featured in <U/O> Matrix via Applied Indexation, a brief primer is provided online along with Data Refinement: Business Segment Operations (BSOs) tab and slideshow tutorial <U/O> Matrix - Establishing Predictive Value: Applied Indexation, Hierarchical Data Sets and Competitive Market Information.

#EnergyComplex #CleanEnergy #Renewables #Strategy #PortfolioManagement #PortfolioStrategies #CorporateFinance #BSOs #Analytics

At Venn’s intersection, sets and subsets of competing interests endure. The dynamic principles of BSOs are three-fold: 1) multinational and Large-cap companies function as benchmark sector/industry/subindustry proxies based on scale (Alpha-Beta), 2) Small- and Mid-cap companies participate as competitive peers (Alpha) and, hence, acquisition candidates and 3) among subsets of 1) and 2) are companies provisioning multiple economic sectors, asset classes and geographies.

Forward looking statements, estimates and certain information contained herein are based upon proprietary and non-proprietary research and other sources. Information contained herein has been obtained from sources believed to be reliable but are not assured as to accuracy. Past performance is not indicative of future results. There is neither representation nor warranty as to the current accuracy of, nor liability for, decisions based on such information. This content is distributed for informational purposes only and should not be considered as investing advice or a recommendation of any particular security, strategy or investment product. The author's opinions are subject to change without notice. No part of this product, related articles, publications or web-based content may be reproduced in any form or referred to in any other publication without express written permission of Universal Orbit © 2023 and David B. Kleinberg.

Data Refinement (Business Segment Operations - BSOs)

In advance: Refinement of data inputs intuitively improves peer group analytics and valuation, even within a finite investment universe (index, proxy, asset class). Stochastic opportunities persist in Tier 2: Alpha and Alpha-Beta screens to exploit capital market inefficiencies (e.g. sector/industry/subindustry nomenclature) patterned sequentially at distinct points of inflection.

Asserting the premise, thematically, of a Clean Tech motif derived from a combined Renewables/Diversified Industrials/Technology sector-themed overlay requires only a small allowance. In our example, we assign Invesco’s WilderHill Clean Energy ETF as the benchmark proxy/index to demonstrate an actively managed absolute return portfolio strategy borne from levering a prevalent niche benchmark construct against unconstrained ranged performance dispersion among differentiated growth rates—individually and collectively.

Separately, in suggested independent parallel research, note common limitations in conventional fund reporting (six sector structure) and third-party data presentation (i.e. lithium recycling as Waste Management, etc.).

To begin an iterative process:

1) Revisit tenets of Venn in tandem with adaptive cross-asset multi-factor portfolio strategies: a) multinational and Large-cap companies function as benchmark sector/industry/subindustry proxies based on scale (Alpha-Beta), b) Small- and Mid-cap companies participate as competitive peers (Alpha) and, hence, acquisition candidates and c) among subsets of a) and b) are companies provisioning multiple economic sectors, asset classes and geographies.

2) Deconstruct company revenue lines of component members into business segment operations (BSOs) in order to more descriptively characterize ecosystem composition and supply chain vertical dynamics; link BSOs in <U/O> Matrix via Applied Indexation format.

3) Compute variances of component member market capitalization relative to respective portfolio position weight per segment/classification based on BSOs; chart, ladder in time series.

4) Rerun traditional screens, rank.

5) Complete Tier 3: Fundamental Analysis to assess company-specific performance (cash flow, growth, profitability) and relative value.

PBW total return: 2023YTD -14.3%, 3-mos. -16.3%, 12-mos. -39.2%; YTD performance dispersion +194.7%/-80.1% (092223 am).

<U/O> Matrix via Applied Indexation segments include Wind, Solar, Fuel Cells, Smart Grid, Water, LED, Biofuel, Automotive, Natural Gas, Storage and Aviation plus further classifications detailing component member assignments based on corporate business segment operations (12 segments, 62 classifications, 256 single and multi-listed component members; n=75 as of 063023); next scheduled update 101023.

For additional background, reference slideshow tutorial <U/O> Matrix - Establishing Predictive Value: Applied Indexation, Hierarchical Data Sets and Competitive Market Information along with related tabs online; composite spreadsheets downloadable thru Access link.

www.universalorbit.com

#EnergyComplex #CleanEnergy #Renewables #Strategy #PortfolioManagement #PortfolioStrategies #CorporateFinance #BSOs #Analytics #BenchmarkAnalysis #AppliedIndexation

Forward looking statements, estimates and certain information contained herein are based upon proprietary and non-proprietary research and other sources. Information contained herein has been obtained from sources believed to be reliable but are not assured as to accuracy. Past performance is not indicative of future results. There is neither representation nor warranty as to the current accuracy of, nor liability for, decisions based on such information. This content is distributed for informational purposes only and should not be considered as investing advice or a recommendation of any particular security, strategy or investment product. The author's opinions are subject to change without notice. No part of this product, related articles, publications or web-based content may be reproduced in any form or referred to in any other publication without express written permission of Universal Orbit © 2023 and David B. Kleinberg.

UO Matrix via Applied Indexation (Benchmark Analysis 1.0)

 

In advance: recently reported Clean Tech thematically segmented ETFs indexed price returns charted by a major third party data provider usefully demonstrate performance on an equal weighted price basis (Automotive, Wind, Solar, Battery, Hydrogen) though unfortunately excludes individual component member (stock) performance contributors over +50.0%, and also presents an only standard broad equity means to establish relative performance (S&P 500) as opposed to adopting a direct composite measure (e.g. Clean Tech benchmark ETF - PBW).

w/r/t benchmark analysis, the opportunity cost for institutional players is illustrated by performance dispersion among Clean Tech index proxy PBW component members. Specifically, PBW constituent total returns range from +209.1%/-89.1% (YTD as of 082523) with a significant number (n=10/75; 13.3%) above the +50.0% segment threshold (n=9; 12.0% are below -50.0%).

The goal for portfolio managers of course is to realize incremental (or decremental) outperformance in up (or down) markets thru fundamental research and security selection against a clearly defined benchmark index—first order analysis, the long and short of the matter—irrespective of arbitrary/constrained chart fit distortions or in deference to favorable macro or Beta total return comparables (SPY: +16.5% YTD, -3.3% 1-mo, +5.1% 3-mos, +10.0% 12-mos; PBW: -6.4% YTD, -15.4% 1-mo, -1.6% 3-mos, -39.8% 12-mos).

At times, when Big Data obfuscates or complementary portfolio positioning is prioritized, a redetermination of the research process may likely improve peer group analytics and valuation; an opportunity to isolate and capture differentiated growth rates within/among companies across economic sectors and asset classes, thematic or otherwise. In the example highlighted below, we advocate an alternative methodology for Tier-2: Alpha and Alpha-Beta screening (strategies: index-plus, niche, thematic, megatrend, factor-based, long/short).

<U/O> Matrix - Establishing Predictive Value: Applied Indexation, Hierarchical Data Sets and Competitive Market Information is an intuitive slideshow tutorial derived from a combined Renewables/Diversified Industrials/Technology sector-themed overlay within PBW, utilizing the modularity of corporate business segment operations embedded in company revenue lines to refine conventionally assigned sector/industry/subindustry nomenclature on a portfolio-weighted basis [ref: EPV (Tutorial) link at www.universalorbit.com].

Please message direct for current period product suite access and/or development considerations (cataloged, resourced).

universalorbit[.]com

note: w/r/t past-positive forward looking indicators featured in <U/O> Matrix via Applied Indexation, a brief primer is provided online along with related tabs for background.

#EnergyComplex #CleanEnergy #Renewables #Strategy #PortfolioManagement #PortfolioStrategies #CorporateFinance #BSOs #Analytics #BenchmarkAnalysis #AppliedIndexation

At Venn’s intersection, sets and subsets of competing interests endure. The dynamic principles of BSOs are three-fold: 1) multinational and Large-cap companies function as benchmark sector/industry/subindustry proxies based on scale (Alpha-Beta), 2) Small- and Mid-cap companies participate as competitive peers (Alpha) and, hence, acquisition candidates and 3) among subsets of 1) and 2) are companies provisioning multiple economic sectors, asset classes and geographies. Successful trading strategies (conventional, systematic, factor-based) and adaptive investable motifs (niche, thematic, megatrend) isolate Value in Growth, and Growth in Value, by aligning the prospective Alpha drivers directly associated with ecosystem composition and supply chain verticals.

Forward looking statements, estimates and certain information contained herein are based upon proprietary and non-proprietary research and other sources. Information contained herein has been obtained from sources believed to be reliable but are not assured as to accuracy. Past performance is not indicative of future results. There is neither representation nor warranty as to the current accuracy of, nor liability for, decisions based on such information. This content is distributed for informational purposes only and should not be considered as investing advice or a recommendation of any particular security, strategy or investment product. The author's opinions are subject to change without notice. No part of this product, related articles, publications or web-based content may be reproduced in any form or referred to in any other publication without express written permission of Universal Orbit © 2023 and David B. Kleinberg.

2Q23 Corporate Earnings (Update)

In advance: 2Q23 corporate earnings reports thus far reinforce sentiment for a soft (or no) US economic landing, evidenced in part by outperformance of Small- and Mid-cap factor-based strategies (ref. ETF benchmark proxies: PRFZ +4.4% 1-mo. total return, +17.2% 3-mos., +14.9% YTD23, as of 080423; SMLF +3.0%, +14.7%, +12.7%) relative to higher quality Large- and Mid-cap asset classes (QUAL: +1.5%, +12.0%, +20.7%) at interim-period points of inflection.

Core sectors represent a continuum of investable opportunities, amidst both evolving public policy and technological innovation, even across volatile economic cycles and subcycles. The Energy complex for example, bounded by Oil&Gas (XLE: +6.8%, +12.3%, +1.3%; XOP: +11.8%, +24.9%, +7.7%; OIH: +17.6%, +34.3%, +12.4%) and Clean Tech (PBW: -0.9%, +19.1%, +7.1%), provides structured parameters for complementary niche/thematic/megatrend institutional portfolio strategies.

For depth, relevant subsector ETFs further characterize Clean Tech segments: Solar (TAN: -12.2%, -8.1%, -14.0%), Wind (FAN: -5.7%, -6.6%, -3.9%), Grid (GRID: -3.5%, +6.8%, +17.3%), Lithium (LIT: -4.9%, +7.8%, +8.9%) and Automotive (CARZ: -0.5%, +20.4%, +40.0%).

Adaptive principles of indexation are requisite to improve peer group analytics and valuation during this third iteration of benchmark analysis, an essential means to isolate and capture PBW component member performance dispersion in Alpha-strategies (+62.6%/-81.2% 1-mo., +178.7%/-81.5% 3-mos., +199.5%/-91.9% YTD23, +102.6%/-97.1% 12-mos.).

Proprietary <U/O> Matrix via Applied Indexation, derived from a combined Renewables/Diversified Industrials/Technology sector-themed overlay within PBW, utilizes the modularity of corporate business segment operations embedded in company revenue lines to refine conventionally assigned sector/industry/subindustry nomenclature on a relative portfolio-weighted basis (12 segments, 62 classifications, 256 single and multi-listed component members; n=75).

Effective <U/O> Matrix via Applied Indexation Tier-2: Alpha and Alpha-Beta screens are generated from a comprehensive set of four spreadsheets: 1] Anatomy (component members, data introduction), 2] Iteration (industry sort, computations), 3] Matrix (applied indexation, data analytics) and 4] Summary Template (composite data, portfolio characteristics).

For Excel downloads, reference https://www.universalorbit.com/access (PayPal hosted, nominal expense; auto-generated password).

Please message direct with any questions or for product development considerations.

www.universalorbit.com

note: w/r/t past-positive forward looking indicators featured in <U/O> Matrix via Applied Indexation, a brief primer is provided online along with related tabs and slideshow tutorial <U/O> Matrix - Establishing Predictive Value: Applied Indexation, Hierarchical Data Sets and Competitive Market Information for background methodology.

#EnergyComplex #CleanEnergy #PortfolioStrategies #CorporateFinance #BSOs

At Venn’s intersection, sets and subsets of competing interests endure. The dynamic principles of BSOs are three-fold: 1) multinational and Large-cap companies function as benchmark sector/industry/subindustry proxies based on scale (Alpha-Beta), 2) Small- and Mid-cap companies participate as competitive peers (Alpha) and, hence, acquisition candidates and 3) among subsets of 1) and 2) are companies provisioning multiple economic sectors, asset classes and geographies. Successful trading strategies (conventional, systematic, factor-based) and adaptive investable motifs (niche, thematic, megatrend) isolate Value in Growth, and Growth in Value, by aligning the prospective Alpha drivers directly associated with ecosystem composition and supply chain verticals.

Forward looking statements, estimates and certain information contained herein are based upon proprietary and non-proprietary research and other sources. Information contained herein has been obtained from sources believed to be reliable but are not assured as to accuracy. Past performance is not indicative of future results. There is neither representation nor warranty as to the current accuracy of, nor liability for, decisions based on such information. This content is distributed for informational purposes only and should not be considered as investing advice or a recommendation of any particular security, strategy or investment product. The author's opinions are subject to change without notice. No part of this product, related articles, publications or web-based content may be reproduced in any form or referred to in any other publication without express written permission of Universal Orbit © 2023 and David B. Kleinberg.

2QTR23 UO Matrix via Applied Indexation

 

In advance: 2QTR23 <U/O> Matrix via Applied Indexation is currently available in multi-sheet format.

Featured Clean Tech thematic is derived from a combined Renewables/Diversified Industrials/Technology sector-themed overlay within publicly traded subindustry benchmark ETF – PBW, utilizing the modularity of business segment operations embedded within company revenue lines to generate effective Tier-2: Alpha and Alpha-Beta screens (adaptive; cross-asset, multi-factor).

>> PBW total return: 3-mos. +10.6% (070723), 2Q23 -0.1%, YTD23 +8.3%; 12-month performance dispersion +255.8%/-85.5%.

>> PBW Fwd adj. PE=28.8 Beta=1.5 versus 29.8/1.5, 26.7/1.5 and 31.9/1.5 sequentially [40.0 limit; N/A totals 56.5% (v. 54.6%) based on portfolio weight and 56.0% of count (-5.3%), 9.7% on market capitalization (-0.8%); Large-cap 21.9% (+0.6%), Mid-cap 47.3% (-0.2%), Small-cap 30.8% (-0.4%)].

>> SPX 12-month Fwd PE=18.9/2Q23 v. 17.8/1Q23, 17.3/4Q22, 15.8/3Q22 (FactSet); CAPE 31.1 from 29.7/29.2/27.5, mean 17.0 (Shiller).

<U/O> Matrix via Applied Indexation segments include Wind, Solar, Fuel Cells, Smart Grid, Water, LED, Biofuel, Automotive, Natural Gas, Storage and Aviation plus further classifications detailing component member assignments based on corporate business segment operations (12 segments, 62 classifications, 256 single and multi-listed component members; n=75).

Successful trading strategies (conventional, systematic, factor-based) and adaptive investable motifs (niche, thematic, megatrend) isolate value in growth, and growth in value, by aligning the prospective Alpha drivers directly associated with ecosystem composition and supply chain verticals (peer group analytics and valuation). Proprietary refined hierarchical data sets isolate drivers of valuation at distinct points of inflection on a relative portfolio-weighted segment/classification basis.

<U/O> Matrix via Applied Indexation product suite is readily downloadable with auto-generated password at ‘PM composites’ link [ref: https://www.universalorbit.com/access; PayPal hosted, nominal contribution (200USD)]. User will find four spreadsheets: 1] Anatomy (component members, data introduction), 2] Iteration (industry sort, computations), 3] Matrix (applied indexation, data analytics) and 4] Summary Template (composite data, portfolio characteristics).

Please message direct with any questions or for product development considerations (cataloged, resourced).

universalorbit[.]com

Please note: w/r/t past-positive forward looking indicators featured in <U/O> Matrix via Applied Indexation, a brief primer is provided online along with related tabs and slideshow tutorial <U/O> Matrix - Establishing Predictive Value: Applied Indexation, Hierarchical Data Sets and Competitive Market Information for background methodology.

#EnergyComplex #CleanEnergy #Renewables #Strategy #PortfolioManagement #PortfolioStrategies #CorporateFinance #BSOs #Analytics

At Venn’s intersection, sets and subsets of competing interests endure. The dynamic principles of BSOs are three-fold: 1) multinational and Large-cap companies function as benchmark sector/industry/subindustry proxies based on scale (Alpha-Beta), 2) Small- and Mid-cap companies participate as competitive peers (Alpha) and, hence, acquisition candidates and 3) among subsets of 1) and 2) are companies provisioning multiple economic sectors, asset classes and geographies. Successful trading strategies (conventional, systematic, factor-based) and adaptive investable motifs (niche, thematic, megatrend) isolate Value in Growth, and Growth in Value, by aligning the prospective Alpha drivers directly associated with ecosystem composition and supply chain verticals.

Forward looking statements, estimates and certain information contained herein are based upon proprietary and non-proprietary research and other sources. Information contained herein has been obtained from sources believed to be reliable but are not assured as to accuracy. Past performance is not indicative of future results. There is neither representation nor warranty as to the current accuracy of, nor liability for, decisions based on such information. This content is distributed for informational purposes only and should not be considered as investing advice or a recommendation of any particular security, strategy or investment product. The author's opinions are subject to change without notice. No part of this product, related articles, publications or web-based content may be reproduced in any form or referred to in any other publication without express written permission of Universal Orbit © 2023 and David B. Kleinberg.

UO Matrix via Applied Indexation (Migration)

 

In advance: <U/O> Matrix via Applied Indexation is migrating to a contributory/open forum, product suite in multi-sheet format is readily accessible with auto-generated password at Universal Orbit © 2023 PM composites link (<U/O> Product List; PayPal hosted).

User will find four downloadable spreadsheets: 1] Anatomy (component members, data introduction), 2] Iteration (industry sort, computations), 3] Matrix (applied indexation, data analytics) and 4] Summary Template (composite data, portfolio characteristics); cross-asset/multi-factor (peer group analytics and valuation).

1QTR23 <U/O> Matrix via Applied Indexation segments include Wind, Solar, Fuel Cells, Smart Grid, Water, LED, Biofuel, Automotive, Natural Gas, Storage and Aviation plus further classifications detailing component member assignments based on corporate business segment operations (12 segments, 61 classifications, 256 single and multi-listed component members; n=75).

The modularity of business segment operations (BSOs) embedded within company revenue lines is utilized to generate effective Tier-2: Alpha and Alpha-Beta screens derived from a combined Renewables/Diversified Industrials/Technology sector-themed overlay within publicly traded Clean Energy Subindustry Benchmark ETF – PBW (performance dispersion, differentiated growth rates).

w/r/t past-positive forward looking indicators featured in <U/O> Matrix via Applied Indexation, a brief primer is provided online along with slideshow tutorial <U/O> Matrix - Establishing Predictive Value: Applied Indexation, Hierarchical Data Sets and Competitive Market Information for background methodology.

Please message direct with any questions or for product development considerations; supplemental data is available under a separate agreement, reference requisite disclaimer.

universalorbit[.]com

#EnergyComplex #CleanEnergy #Renewables #DiversifiedIndustrials #Technology #Strategy #PortfolioManagement #PortfolioStrategies #CorporateFinance #BSOs #Analytics

At Venn’s intersection, sets and subsets of competing interests endure. The dynamic principles of BSOs are three-fold: 1) multinational and Large-cap companies function as benchmark sector/industry/subindustry proxies based on scale (Alpha-Beta), 2) Small- and Mid-cap companies participate as competitive peers (Alpha) and, hence, acquisition candidates and 3) among subsets of 1) and 2) are companies provisioning multiple economic sectors, asset classes and geographies. Successful trading strategies (conventional, systematic, factor-based) and adaptive investable motifs (niche, thematic, megatrend) isolate Value in Growth, and Growth in Value, by aligning the prospective Alpha drivers directly associated with ecosystem composition and supply chain verticals.

Forward looking statements, estimates and certain information contained herein are based upon proprietary and non-proprietary research and other sources. Information contained herein has been obtained from sources believed to be reliable but are not assured as to accuracy. Past performance is not indicative of future results. There is neither representation nor warranty as to the current accuracy of, nor liability for, decisions based on such information. This content is distributed for informational purposes only and should not be considered as investing advice or a recommendation of any particular security, strategy or investment product. The author's opinions are subject to change without notice. No part of this product, related articles, publications or web-based content may be reproduced in any form or referred to in any other publication without express written permission of Universal Orbit © 2023 and David B. Kleinberg.

1QTR23 UO Matrix via Applied Indexation

 

In advance: 1QTR23 <U/O> Matrix via Applied Indexation is currently available in multi-sheet format utilizing the modularity of business segment operations to illustrate effective Alpha and Alpha-Beta screens derived from a combined Renewables/Diversified Industrials/Technology sector-themed overlay within publicly traded Clean Energy Subindustry Benchmark ETF - PBW.

>> PBW total return: 1Q23 +6.7%, CY23 -6.4%; 12-month performance dispersion +127.0%/-56.0% (042823).

>> SPX 12-month Fwd PE=18.1/042823 v. 17.8/1Q23, 17.3/4Q22, 15.8/3Q22, 17.5/2Q22 (FactSet); CAPE 29.7 from 29.2/27.5/31.1/34.6, mean 17.0 (Shiller).

>> PBW Fwd adj. PE=29.8 Beta=1.5 versus 26.7/1.5, 31.9/1.5 and 30.4/1.5 sequentially [40.0 limit; N/A totals 54.6% (v. 62.0%) based on portfolio weight and 61.3% of count (-0.9%), 10.5% on market capitalization (-5.9%); Large-cap 21.3% (+3.1%), Mid-cap 47.5% (+2.0%), Small-cap 31.2% (-5.3%)].

<U/O> Matrix via Applied Indexation segments include Wind, Solar, Fuel Cells, Smart Grid, Water, LED, Biofuel, Automotive, Natural Gas, Storage and Aviation plus further classifications detailing component member assignments based on corporate business segment operations (12 segments, 61 classifications, 256 single and multi-listed component members; n=75).

Current capital markets sentiment indicates consensus on approaching near-term peaks in both rates and equity valuations, evident in select benchmark proxy ETF total return performance comparisons: e.g., Smart Beta Quality factor ETF (QUAL +11.1%, CY23 042823) over the S&P500 ETF (SPY +9.2%) bested by Large-cap technology Nasdaq 100 (QQQ +21.3%; FY22 -32.6%). Given ecosystem dynamics and supply chain verticals prevalent in institutional portfolio strategies (conventional, index-plus, long/short, niche, thematic, megatrend, factor-based), the permanence of tiered/laddered risks to valuation across economic cycles and subcycles underscores persistent opportunities to capture breadth of performance dispersion within an investment universe.

<U/O> Matrix via Applied Indexation characterizes the corporate composition of component members within an assigned benchmark, defining parameters of differentiated growth rates within companies then linking to peers via business segment operations (Large-cap, Mid-cap, Small-cap; international and domestic). Proprietary research suggests refined hierarchical data sets improve analytics, isolating drivers of valuation at distinct points of inflection. This, coupled with competitive market information and embedded forward looking fundamental analysis, efficiently profiles idiosyncratic catalysts on a portfolio-weighted segment/classification relative basis to isolate Value in Growth (and Growth in Value; cross-asset, multi-factor).

Please message direct for product suite access and development considerations; reference ‘<U/O> Matrix - Establishing Predictive Value: Applied Indexation, Hierarchical Data Sets and Competitive Market Information’ slideshow tutorial for background methodology at www.universalorbit.com.

#EnergyComplex #CleanTech #Renewables #Strategy #PortfolioManagement #CorporateFinance #BSOs #Analytics

At Venn’s intersection, sets and subsets of competing interests endure. The dynamic principles of BSOs are three-fold: 1) multinational and Large-cap companies function as benchmark sector/industry/subindustry proxies based on scale (Alpha-Beta), 2) Small- and Mid-cap companies participate as competitive peers (Alpha) and, hence, acquisition candidates and 3) among subsets of 1) and 2) are companies provisioning multiple economic sectors, asset classes and geographies. Successful trading strategies (conventional, systematic, factor-based) and adaptive investable motifs (niche, thematic, megatrend) isolate Value in Growth, and Growth in Value, by aligning the prospective Alpha drivers directly associated with ecosystem composition and supply chain verticals.

Forward looking statements, estimates and certain information contained herein are based upon proprietary and non-proprietary research and other sources. Information contained herein has been obtained from sources believed to be reliable but are not assured as to accuracy. Past performance is not indicative of future results. There is neither representation nor warranty as to the current accuracy of, nor liability for, decisions based on such information. This content is distributed for informational purposes only and should not be considered as investing advice or a recommendation of any particular security, strategy or investment product. The author's opinions are subject to change without notice. No part of this product, related articles, publications or web-based content may be reproduced in any form or referred to in any other publication without express written permission of Universal Orbit © 2023 and David B. Kleinberg.