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.

UO Matrix - Establishing Predictive Value: Applied Indexation, Hierarchical Data Sets and Competitive Market Information (rev.)

 

In advance: At Venn’s intersection, sets and subsets of shared and competing interests endure. The competitive market information offered by incorporating sector/industry/subindustry hierarchical data sets in research processes lends compelling perspectives on corporate profiles, peer group analytics and valuation. At times however, often when innovative data analytics are institutionalized, Alpha becomes Beta in the context of incremental portfolio performance attribution and prompts the need for more refined fundamental analysis.

The importance of a disciplined cross-asset multi-factor approach to Tier-2: Alpha and Alpha-Beta screening is underscored after charting the descriptive interrelationships and modularity of corporate business segment operations (BSOs), requisite when creating or assessing nascent indexes and evolving investment universes. Apparent in audit of the differentiated growth rates embedded within company revenue lines and resultant capital market performance dispersion, BSOs effectively serve to delineate drivers of valuation and establish even greater relativity among competitive peers at distinct points of inflection.

Successful trading strategies (conventional, index-plus, factor-based, systematic) and adaptive investable motifs (niche, thematic, megatrend) isolate Value in Growth, and Growth in Value, aligning the prospective Alpha drivers directly associated with ecosystem composition and supply chain verticals.

The dynamic principles of BSOs evident during benchmark analysis are three-fold: 1) multinational and Large-cap companies function as 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.

For a static template illustration of background methodology plus real-time applications, we revisit last year’s <U/O> Matrix - Establishing Predictive Value: Applied Indexation, Hierarchical Data Sets and Competitive Market Information exercise (click here).

Please message direct for product suite access and development considerations.

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

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.

4Q22 UO Matrix via Applied Indexation

In advance: 4QTR22 <U/O> Matrix via Applied Indexation is currently available in multi-sheet format illustrating structured ecosystem composition and supply chain verticals within publicly traded Clean Energy Subindustry Benchmark ETF - PBW.

>> PBW total return: 4Q22 -19.2%, CY2022 -44.5%; 12-month performance dispersion +172.0%/-79.5% (011323).

>> SPX 12-month Fwd PE=17.3/4Q22 v. 15.8/3Q22, 17.5/2Q22, 19.0/1Q22 (FactSet); CAPE 29.2 from 27.5/31.1/34.6, mean 17.0 (Shiller).

>> PBW Fwd adj. PE=26.7 Beta=1.5 versus 31.9/1.5, 30.4/1.5 and 34.4/1.4 sequentially [40.0 limit; N/A totals 62.0% based on portfolio weight (+5.4%) and 62.2% of count (+2.4%), 16.4% on market capitalization (+6.0%); Large-cap 18.2% (-2.1%), Mid-cap 45.5% (+1.7%), Small-cap 36.5% (+0.6%)].

<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, 60 classifications, 250 single and multi-listed component members; n=74).

<U/O> Applied Indexation methodology introduces the concept of business segment operations (BSOs) as a means demonstrating the capacity to link component member corporate profiles within a designated benchmark index/proxy across capitalization and asset classes. On this basis, differentiated growth rates embedded in a company's revenue line provide an opportunity to construct composite Alpha and Alpha-Beta screens borne from the refinement of standardized component member sector/industry nomenclature assignments and modularity offered by BSOs. Competitive market information and corresponding BSO quantitative inversions capture respective points and relative depths of inflection, more accurately profiling fundamental drivers of valuation.

<U/O> Matrix via Applied Indexation illustrates an iterative process designed to improve peer group analytics and isolate ranged performance dispersion among benchmark component members. In just one abstraction, recent market- and equal-weighted portfolio strategy total return performance differentials serve to underscore the importance of a disciplined latticed approach in managing the fluidity of cross-sector multi-factor variables persistent in alternating/convergent/divergent/reverting economic and policy cycles/subcycles (investable motifs: conventional, index-plus, long/short, niche, thematic, megatrend and factor-based).

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.

www.universalorbit.com

#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.

3QTR22 UO Matrix via Applied Indexation

 

In advance: 3QTR22 <U/O> Matrix via Applied Indexation is currently available in multi-sheet format illustrating structured ecosystem composition and supply chain verticals within publicly traded Clean Energy Subindustry Benchmark ETF - PBW.

>> PBW total return: 3Q22 6.2%, YTD 2022 -35.9%; performance dispersion 193.5%/-88.8% (101322).

>> SPX 12-month Fwd PE=15.8/3Q22 v. 17.5/2Q22, 19.0/1Q22, 21.1/4Q21 (FactSet); CAPE 27.5 from 31.1/34.6/38.5, mean 17.0 (Shiller).

>> PBW Fwd adj. PE=31.9 Beta=1.5 versus 30.4/1.5, 34.4/1.4 and 34.4/1.4 sequentially (40.0 max.; N/A totals 56.6% based on portfolio weight and 59.8% of count, 10.4% on market capitalization; Large-cap 20.3%, Mid-cap 43.8%, Small-cap 35.9%).

<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, 267 single and multi-listed component members; n=82).

<U/O> Applied Indexation methodology introduces the concept of business segment operations as a means to highlight the modularity of corporate profiles, producing deeper comparables by deconstructing company revenue lines then linking resultant business segment operations across asset classes and capitalization within a designated composite benchmark portfolio in order to improve peer group analytics and valuation; reference <U/O> Matrix - Establishing Predictive Value: Applied Indexation, Hierarchical Data Sets and Competitive Market Information slideshow tutorial (www.universalorbit.com).

Please message direct for product suite access and development considerations.

#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 © 2022 and David B. Kleinberg.

2QTR22 UO Matrix via Applied Indexation

 

In advance: 2QTR22 <U/O> Matrix via Applied Indexation is currently available in multi-sheet format illustrating structured ecosystem composition and supply chain verticals within publicly traded Clean Energy Subindustry Benchmark ETF - PBW.

>> PBW total return: 2Q22 -29.4%, YTD 2022 -16.7%; performance dispersion +93.2%/-83.9% (080522).

>> SPX 12-month Fwd PE=17.5/2Q22 v. 19.0/1Q22, 21.1/4Q21, 20.5/3Q21 (FactSet); CAPE 31.1 from 34.6/38.5/37.9, mean 17.0 (Shiller).

>> PBW Fwd adj. PE=30.4 Beta=1.5 versus 34.4/1.4, 34.4/1.4 and 33.2/1.4 sequentially (40.0 max.; N/A totals 58.6% based on portfolio weight and 61.7% of count, 14.0% on market capitalization; Large-cap 20.2%, Mid-cap 45.7%, Small-cap 34.4%).

<U/O> Applied Indexation methodology introduces the concept of business segment operations as a means to highlight the modularity of corporate profiles, producing deeper comparables by deconstructing a company’s revenue line then linking resultant business segment operations across asset classes and capitalization within a designated composite benchmark portfolio.

<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=81).

Please message direct for product suite access and development considerations.

--

<U/O> Matrix - Establishing Predictive Value: Applied Indexation, Hierarchical Data Sets and Competitive Market Information slideshow tutorial (click here) is developed with the intent to improve peer group analytics and valuation. The premise is to complement existing institutional portfolio strategies and lend Tier-2 Alpha and Alpha-Beta screening tools to effort outperformance in both up and down markets. A goal of this <U/O> Applied Indexation abstraction is to demonstrate the many persistent Venn-like qualities present throughout the capital markets which may be exploited for profitable portfolio positioning at distinct points of inflection.

While capital markets inefficiencies is not a new concept, perhaps the attributes of <U/O> Applied Indexation may be another useful tool for research teams and client driven solutions.

www.universalorbit.com

#EnergyComplex #CleanEnergy #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 © 2022 and David B. Kleinberg.

UO Matrix - Establishing Predictive Value: Applied Indexation, Hierarchical Data Sets and Competitive Market Information

 

In advance: <U/O> Matrix - Establishing Predictive Value: Applied Indexation, Hierarchical Data Sets and Competitive Market Information is currently available without restriction, developed with the intent to improve peer group analytics and valuation (click here).

<U/O> Applied Indexation methodology introduces the concept of business segment operations as a means to highlight the modularity of corporate profiles, producing deeper comparables by breaking down a company’s revenue line then linking resultant business segment operations across asset classes and capitalization within a designated composite benchmark portfolio.

The premise is to complement existing institutional portfolio strategies and lend Tier-2 Alpha and Alpha-Beta screening tools to effort outperformance in both up and down markets.

A goal of this <U/O> Applied Indexation abstraction is to demonstrate the many persistent Venn-like qualities present throughout the capital markets which may be exploited for profitable portfolio positioning at distinct points of inflection.

While capital markets inefficiencies is not a new concept, perhaps the attributes of <U/O> Applied Indexation may be another useful tool for research teams and client driven solutions.

Please message direct for product suite access or development considerations.

www.universalorbit.com

#EnergyComplex #CleanEnergy #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 © 2022 and David B. Kleinberg.