{"text_format":"3","workbook":"xlsx","n_sheets":2,"sheets":["General Dictionary","C Matrix Definitions"],"read":"whole","date_system":"1900"}

{"sheet":"General Dictionary","index":0,"n_rows":220,"n_cols":2,"rows_kept":220}
["Company Name","Name of Company"]
["ISIN","Company ISIN"]
["Region","Region of the world in which company is headquartered"]
["Global Sector Count","The number of companies in the sector the company belongs to"]
["Global SubSector Count","The number of companies in the subsector the company belongs to"]
["Global Industry Count","The number of companies in the industry the company belongs to"]
["Regional Sector Count","The number of companies in the regional sector the companies belongs to"]
["Regional SubSector Count","The number of companies n the regional subsector the ocmpany belongs to"]
["Regional Industry Count","The number of companies in the regional industry the company belongs to"]
["E1","OWL KPI for Pollution Prevention: aggregates data on how much a company pollutes, its policies to reduce said pollution, and its transition towards alternative technologies and processes to reduce environmental harm.   The goal of the KPI is to measure how well a company is transitioning towards a lower polluting business model.   It is not meant to measure absolute levels of pollution."]
["E1 Regional Sector Rank","Rank within the Sector Peer Group on the OWL E1 KPI with 1 being the highest rank"]
["E1 Regional SubSector Rank","Rank within the SubSector Peer Group on the OWL E1 KPI with 1 being the highest rank"]
["E1 Regional Industry Rank","Rank within the Industry Peer Group on the OWL E1 KPI with 1 being the highest rank"]
["E1 Regional Sector Percentile","Percentile within the Sector Peer Group on the OWL E1 KPI with 100% being the worst"]
["E1 Regional SubSector Percentile","Percentile within the SubSector Peer Group on the OWL E1 KPI with 100% being the worst"]
["E1 Regional Industry Percentile","Percentile within the Industry Peer Group on the OWL E1 KPI with 100% being the worst"]
["E2","OWL KPI for Environmental Transparency: Aggregates data about a company's policies to reduce pollution and resource consumption.  It also measures a company's environmental reporting and dedication to environmental transparency.  The goal of the KPI is to measure how well a company is transitioning towards being an environmentally transparent company with rigorous policies designed to lower environmental impact."]
["E2 Regional Sector Rank","Rank within the Sector Peer Group on the OWL E2 KPI with 1 being the highest rank"]
["E2 Regional SubSector Rank","Rank within the SubSector Peer Group on the OWL E2 KPI with 1 being the highest rank"]
["E2 Regional Industry Rank","Rank within the Industry Peer Group on the OWL E2 KPI with 1 being the highest rank"]
["E2 Regional Sector Percentile","Percentile within the Sector Peer Group on the OWL E2 KPI with 100% being the worst"]
["E2 Regional SubSector Percentile","Percentile within the SubSector Peer Group on the OWL E2 KPI with 100% being the worst"]
["E2 Regional Industry Percentile","Percentile within the Industry Peer Group on the OWL E2 KPI with 100% being the worst"]
["E3","OWL KPI for Resource Efficiency: Aggregates data about how well a company is reducing resource consumption, including water and energy, in the supply chain.  It also consumes data about the company's dedication and effectiveness in recycling.  The goal of the KPI is to measure how well a company is transitioning towards a lower resource consuming business model.   It is not meant to measure absolute levels of natural resource use."]
["E3 Regional Sector Rank","Rank within the Sector Peer Group on the OWL E3 KPI with 1 being the highest rank"]
["E3 Regional SubSector Rank","Rank within the SubSector Peer Group on the OWL E3 KPI with 1 being the highest rank"]
["E3 Regional Industry Rank","Rank within the Industry Peer Group on the OWL E3 KPI with 1 being the highest rank"]
["E3 Regional Sector Percentile","Percentile within the Sector Peer Group on the OWL E3 KPI with 100% being the worst"]
["E3 Regional SubSector Percentile","Percentile within the SubSector Peer Group on the OWL E3 KPI with 100% being the worst"]
["E3 Regional Industry Percentile","Percentile within the Industry Peer Group on the OWL E3 KPI with 100% being the worst"]
["EMP1","OWL KPI for Compensation & Satisfaction: Aggregates data about how a company creates employee satisfaction through fair pay, benefits, and other practices that encourage employee productivity.   The goal of this KPI is to measure how well a company is transitioning towards a satisfied workplace driven by fair compensation."]
["EMP1 Regional Sector Rank","Rank within the Sector Peer Group on the OWL EMP1 KPI with 1 being the highest rank"]
["EMP1 Regional SubSector Rank","Rank within the SubSector Peer Group on the OWL EMP1 KPI with 1 being the highest rank"]
["EMP1 Regional Industry Rank","Rank within the Industry Peer Group on the OWL EMP1 KPI with 1 being the highest rank"]
["EMP1 Regional Sector Percentile","Percentile within the Sector Peer Group on the OWL EMP1 KPI with 100% being the worst"]
["EMP1 Regional SubSector Percentile","Percentile within the SubSector Peer Group on the OWL EMP1 KPI with 100% being the worst"]
["EMP1 Regional Industry Percentile","Percentile within the Industry Peer Group on the OWL EMP1 KPI with 100% being the worst"]
["EMP2","OWL KPI for Diversity & Rights: Aggregates data on performance and practices regarding diversity in the workplace, labor-management and relations, and workforce rights.   The goal of this KPI is to measure how well a company is building a workplace with diversity and fair treatment of employees."]
["EMP2 Regional Sector Rank","Rank within the Sector Peer Group on the OWL EMP2 KPI with 1 being the highest rank"]
["EMP2 Regional SubSector Rank","Rank within the SubSector Peer Group on the OWL EMP2 KPI with 1 being the highest rank"]
["EMP2 Regional Industry Rank","Rank within the Industry Peer Group on the OWL EMP2 KPI with 1 being the highest rank"]
["EMP2 Regional Sector Percentile","Percentile within the Sector Peer Group on the OWL EMP2 KPI with 100% being the worst"]
["EMP2 Regional SubSector Percentile","Percentile within the SubSector Peer Group on the OWL EMP2 KPI with 100% being the worst"]
["EMP2 Regional Industry Percentile","Percentile within the Industry Peer Group on the OWL EMP2 KPI with 100% being the worst"]
["EMP3","OWL KPI for Education & Work Conditions: Aggregates data on performance and policies regarding workplace safety, worker training, and other metrics to measure worker productivity, health, and morale.  The goal of this KPI is to measure how well the company is transitioning towards a workplace that values the safety, health, and growth of its employees."]
["EMP3 Regional Sector Rank","Rank within the Sector Peer Group on the OWL EMP3 KPI with 1 being the highest rank"]
["EMP3 Regional SubSector Rank","Rank within the SubSector Peer Group on the OWL EMP3 KPI with 1 being the highest rank"]
["EMP3 Regional Industry Rank","Rank within the Industry Peer Group on the OWL EMP3 KPI with 1 being the highest rank"]
["EMP3 Regional Sector Percentile","Percentile within the Sector Peer Group on the OWL EMP3 KPI with 100% being the worst"]
["EMP3 Regional SubSector Percentile","Percentile within the SubSector Peer Group on the OWL EMP3 KPI with 100% being the worst"]
["EMP3 Regional Industry Percentile","Percentile within the Industry Peer Group on the OWL EMP3 KPI with 100% being the worst"]
["CIT1","OWL KPI for Community & Charity: Aggregates data on how well a company treats the communities in which it does business, including data on charitable activities and volunteerism, protection of public health, and the social and environmental impacts of offerings on local communities.  The goal of this KPI is to measure a company's positive contributions to local communities balanced by any potential negative impacts of products."]
["CIT1 Regional Sector Rank","Rank within the Sector Peer Group on the OWL CIT1 KPI with 1 being the highest rank"]
["CIT1 Regional SubSector Rank","Rank within the SubSector Peer Group on the OWL CIT1 KPI with 1 being the highest rank"]
["CIT1 Regional Industry Rank","Rank within the Industry Peer Group on the OWL CIT1 KPI with 1 being the highest rank"]
["CIT1 Regional Sector Percentile","Percentile within the Sector Peer Group on the OWL CIT1 KPI with 100% being the worst"]
["CIT1 Regional SubSector Percentile","Percentile within the SubSector Peer Group on the OWL CIT1 KPI with 100% being the worst"]
["CIT1 Regional Industry Percentile","Percentile within the Industry Peer Group on the OWL CIT1 KPI with 100% being the worst"]
["CIT2","OWL KPI for Human Rights: Aggregates data on a company's policies and performance regarding human rights, including information on child or compulsory labor, treatment of people throughout the supply chain, and treatment of local populaces.   The goal of this KPI is to measure how well a company is transitioning towards the respect of human rights in the communities it operates."]
["CIT2 Regional Sector Rank","Rank within the Sector Peer Group on the OWL CIT2 KPI with 1 being the highest rank"]
["CIT2 Regional SubSector Rank","Rank within the SubSector Peer Group on the OWL CIT2 KPI with 1 being the highest rank"]
["CIT2 Regional Industry Rank","Rank within the Industry Peer Group on the OWL CIT2 KPI with 1 being the highest rank"]
["CIT2 Regional Sector Percentile","Percentile within the Sector Peer Group on the OWL CIT2 KPI with 100% being the worst"]
["CIT2 Regional SubSector Percentile","Percentile within the SubSector Peer Group on the OWL CIT2 KPI with 100% being the worst"]
["CIT2 Regional Industry Percentile","Percentile within the Industry Peer Group on the OWL CIT2 KPI with 100% being the worst"]
["CIT3","OWL KPI for Sustainability Integration: Aggregates data on how well a company evolves its product development, marketing, and sales towards creating sustainable offerings that reduce environmental impact and benefit the health and quality of life of customers.   The goal if this KPI is to measure how well a company is transitioning its offerings to ones with low environmental and social impact."]
["CIT3 Regional Sector Rank","Rank within the Sector Peer Group on the OWL CIT3 KPI with 1 being the highest rank"]
["CIT3 Regional SubSector Rank","Rank within the SubSector Peer Group on the OWL CIT3 KPI with 1 being the highest rank"]
["CIT3 Regional Industry Rank","Rank within the Industry Peer Group on the OWL CIT3 KPI with 1 being the highest rank"]
["CIT3 Regional Sector Percentile","Percentile within the Sector Peer Group on the OWL CIT3 KPI with 100% being the worst"]
["CIT3 Regional SubSector Percentile","Percentile within the SubSector Peer Group on the OWL CIT3 KPI with 100% being the worst"]
["CIT3 Regional Industry Percentile","Percentile within the Industry Peer Group on the OWL CIT3 KPI with 100% being the worst"]
["G1","OWL KPI for Board Effectiveness: Aggregates data on policies and performance regarding independence of Board from management, Board diversity, alignment with best practices, and effectiveness in using best practices to incent management to achieve financial and sustainability goals.  The goal of this KPI is to measure the independence of a company's Board and its effectiveness in aligning financial and sustainability goals."]
["G1 Regional Sector Rank","Rank within the Sector Peer Group on the OWL G1 KPI with 1 being the highest rank"]
["G1 Regional SubSector Rank","Rank within the SubSector Peer Group on the OWL G1 KPI with 1 being the highest rank"]
["G1 Regional Industry Rank","Rank within the Industry Peer Group on the OWL G1 KPI with 1 being the highest rank"]
["G1 Regional Sector Percentile","Percentile within the Sector Peer Group on the OWL G1 KPI with 100% being the worst"]
["G1 Regional SubSector Percentile","Percentile within the SubSector Peer Group on the OWL G1 KPI with 100% being the worst"]
["G1 Regional Industry Percentile","Percentile within the Industry Peer Group on the OWL G1 KPI with 100% being the worst"]
["G2","OWL KPI for Management Ethics: Aggregates data on how well management works with stakeholders, including information on how well they integrate ethics into decisions and policies, their performance on equitable treatment of shareholders, and their commitment to integrating ESG considerations into operations.   The goal of this KPI is to measure management ethics and how well the management is integrating an ethical approach into business operations."]
["G2 Regional Sector Rank","Rank within the Sector Peer Group on the OWL G2 KPI with 1 being the highest rank"]
["G2 Regional SubSector Rank","Rank within the SubSector Peer Group on the OWL G2 KPI with 1 being the highest rank"]
["G2 Regional Industry Rank","Rank within the Industry Peer Group on the OWL G2 KPI with 1 being the highest rank"]
["G2 Regional Sector Percentile","Percentile within the Sector Peer Group on the OWL G2 KPI with 100% being the worst"]
["G2 Regional SubSector Percentile","Percentile within the SubSector Peer Group on the OWL G2 KPI with 100% being the worst"]
["G2 Regional Industry Percentile","Percentile within the Industry Peer Group on the OWL G2 KPI with 100% being the worst"]
["G3","OWL KPI for Disclosure & Accountability:  Aggregates data on the quality of reporting regarding financial and sustainability goals, engagement of employees and management in sustainability performance, and thoroughness of transparency to all stakeholders.   The goal of this KPI is to measure how well a company has transitioned to a business that has quality reporting and thorough transparency."]
["G3 Regional Sector Rank","Rank within the Sector Peer Group on the OWL G3 KPI with 1 being the highest rank"]
["G3 Regional SubSector Rank","Rank within the SubSector Peer Group on the OWL G3 KPI with 1 being the highest rank"]
["G3 Regional Industry Rank","Rank within the Industry Peer Group on the OWL G3 KPI with 1 being the highest rank"]
["G3 Regional Sector Percentile","Percentile within the Sector Peer Group on the OWL G3 KPI with 100% being the worst"]
["G3 Regional SubSector Percentile","Percentile within the SubSector Peer Group on the OWL G3 KPI with 100% being the worst"]
["G3 Regional Industry Percentile","Percentile within the Industry Peer Group on the OWL G3 KPI with 100% being the worst"]
["ESG","The ESG Score averages the E, S, and G scores from rows 115, 136, and 157 below.   The goal of this means of computing the ESG score is to provide no subjective value judgement of what is more important among E, S, and G."]
["ESG Positive Correlation","The ESG Positive Correlation Score weights the OWL KPIs (E1, E2, E3, EMP1, EMP2, EMP3, CIT1, CIT2, CIT3, G1, G2, G3) based on which KPIs are strongly rank correlated (to the positive) to financial metrics that are strongly rank correlated to 1yr and 3 yr total returns for that company's peer group.   It essentially rewards companies for being strong on metrics compared to peers that may be causal to returns.   The most granular peer group is always used when available, with Industry Peer Group being most granular, followed by SubSector Peer Group and then Sector Peer Group."]
["ESG Total Correlation","The ESG Total Correlation Score weights the OWL KPIs (E1, E2, E3, EMP1, EMP2, EMP3, CIT1, CIT2, CIT3, G1, G2, G3) based on which KPIs are strongly rank correlated (to the positive and negative) to financial metrics that are strongly rank correlated to 1yr and 3 yr total returns for that company's peer group.   It essentially rewards companies for being strong on metrics compared to peers that may be causal to returns and also rewards companies for being weak on metrics compared to peers when being weak on those metrics could lead to better financial performance.   The most granular peer group is always used when available, with Industry Peer Group being most granular, followed by SubSector Peer Group and then Sector Peer Group."]
["ESG Regional Sector Rank","Rank within the Sector Peer Group on the ESG Score with 1 being the highest rank"]
["ESG Regional SubSector Rank","Rank within the SubSector Peer Group on the ESG Score with 1 being the highest rank"]
["ESG Regional Industry Rank","Rank within the Industry Peer Group on the ESG Score with 1 being the highest rank"]
["ESG Regional Sector Percentile","Percentile within the Sector Peer Group on the ESG Score with 100% being the worst"]
["ESG Regional SubSector Percentile","Percentile within the SubSector Peer Group on the ESG Score with 100% being the worst"]
["ESG Regional Industry Percentile","Percentile within the Industry Peer Group on the ESG Score with 100% being the worst"]
["ESG Positive Correlation Regional Sector Rank","Rank within the Sector Peer Group on the ESG Positive Correlation Score with 1 being the highest rank"]
["ESG Positive Correlation RegionalSubSector Rank","Rank within the SubSector Peer Group on the ESG Positive Correlation Score with 1 being the highest rank"]
["ESG Positive Correlation Regional Industry Rank","Rank within the Industry Peer Group on the ESG Positive Correlation Score with 1 being the highest rank"]
["ESG Positive Correlation Regional Sector Percentile","Percentile within the Sector Peer Group on the ESG Positive Correlation Score with 100% being the worst"]
["ESG Positive Correlation Regional SubSector Percentile","Percentile within the SubSector Peer Group on the ESG Positive Correlation Score with 100% being the worst"]
["ESG Positive Correlation Regional Industry Percentile","Percentile within the Industry Peer Group on the ESG Positive Correlation Score with 100% being the worst"]
["ESG Total Correlation RegionalSector Rank","Rank within the Sector Peer Group on the ESG Total Correlation Score with 1 being the highest rank"]
["ESG Total Correlation Regional SubSector Rank","Rank within the SubSector Peer Group on the ESG Total Correlation Score with 1 being the highest rank"]
["ESG Total Correlation Regional Industry Rank","Rank within the Industry Peer Group on the ESG Total Correlation Score with 1 being the highest rank"]
["ESG Total Correlation Regional Sector Percentile","Percentile within the Sector Peer Group on the ESG Total Correlation Score with 100% being the worst"]
["ESG Total Correlation Regional SubSector Percentile","Percentile within the SubSector Peer Group on the ESG Total Correlation Score with 100% being the worst"]
["ESG Total Correlation Regional Industry Percentile","Percentile within the Industry Peer Group on the ESG Total Correlation Score with 100% being the worst"]
["E","The E Score averages the E1, E2, and E3 scores from rows 10, 17, and 24 above.   The goal of this means of computing the E score is to provide no subjective value judgement of what is more important among E1, E2, and E3."]
["E Positive Correlation","The E Positive Correlation Score weights the OWL KPIs (E1, E2, E3) based on which KPIs are strongly rank correlated (to the positive) to financial metrics that are strongly rank correlated to 1yr and 3 yr total returns for that company's peer group.   It essentially rewards companies for being strong on metrics compared to peers that may be causal to returns.   The most granular peer group is always used when available, with Industry Peer Group being most granular, followed by SubSector Peer Group and then Sector Peer Group."]
["E Total Correlation","The E Total Correlation Score weights the OWL KPIs (E1, E2, E3) based on which KPIs are strongly rank correlated (to the positive and negative) to financial metrics that are strongly rank correlated to 1yr and 3 yr total returns for that company's peer group.   It essentially rewards companies for being strong on metrics compared to peers that may be causal to returns and also rewards companies for being weak on metrics compared to peers when being weak on those metrics could lead to better financial performance.   The most granular peer group is always used when available, with Industry Peer Group being most granular, followed by SubSector Peer Group and then Sector Peer Group."]
["E Regional Sector Rank","Rank within the Sector Peer Group on the E Score with 1 being the highest rank"]
["E Regional SubSector Rank","Rank within the SubSector Peer Group on the E Score with 1 being the highest rank"]
["E Regional Industry Rank","Rank within the Industry Peer Group on the E Score with 1 being the highest rank"]
["E Regional Sector Percentile","Percentile within the Sector Peer Group on the E Score with 100% being the worst"]
["E Regional SubSector Percentile","Percentile within the SubSector Peer Group on the E Score with 100% being the worst"]
["E Regional Industry Percentile","Percentile within the Industry Peer Group on the E Score with 100% being the worst"]
["E Positive Correlation Regional Sector Rank","Rank within the Sector Peer Group on the E Positive Correlation Score with 1 being the highest rank"]
["E Positive Correlation Regional SubSector Rank","Rank within the SubSector Peer Group on the E Positive Correlation Score with 1 being the highest rank"]
["E Positive Correlation Regional Industry Rank","Rank within the Industry Peer Group on the E Positive Correlation Score with 1 being the highest rank"]
["E Positive Correlation Regional Sector Percentile","Percentile within the Sector Peer Group on the E Positive Correlation Score with 100% being the worst"]
["E Positive Correlation Regional SubSector Percentile","Percentile within the SubSector Peer Group on the E Positive Correlation Score with 100% being the worst"]
["E Positive Correlation Regional Industry Percentile","Percentile within the Industry Peer Group on the E Positive Correlation Score with 100% being the worst"]
["E Total Correlation Regional Sector Rank","Rank within the Sector Peer Group on the E Total Correlation Score with 1 being the highest rank"]
["E Total Correlation Regional SubSector Rank","Rank within the SubSector Peer Group on the E Total Correlation Score with 1 being the highest rank"]
["E Total Correlation Regional Industry Rank","Rank within the Industry Peer Group on the E Total Correlation Score with 1 being the highest rank"]
["E Total Correlation Regional Sector Percentile","Percentile within the Sector Peer Group on the E Total Correlation Score with 100% being the worst"]
["E Total Correlation Regional SubSector Percentile","Percentile within the SubSector Peer Group on the E Total Correlation Score with 100% being the worst"]
["E Total Correlation Regional Industry Percentile","Percentile within the Industry Peer Group on the E Total Correlation Score with 100% being the worst"]
["S","The S Score averages the CIT and EMP scores from rows 178 and 199 below   The goal of this means of computing the S score is to provide no subjective value judgement of what is more important among CIT and EMP."]
["S Positive Correlation","The S Positive Correlation Score weights the OWL KPIs (EMP1, EMP2, EMP3, CIT1, CIT2, and CIT3) based on which KPIs are strongly rank correlated (to the positive) to financial metrics that are strongly rank correlated to 1yr and 3 yr total returns for that company's peer group.   It essentially rewards companies for being strong on metrics compared to peers that may be causal to returns.   The most granular peer group is always used when available, with Industry Peer Group being most granular, followed by SubSector Peer Group and then Sector Peer Group."]
["S Total Correlation","The S Total Correlation Score weights the OWL KPIs (EMP 1, EMP2, EMP3, CIT1, CIT2, and CIT3)  based on which KPIs are strongly rank correlated (to the positive and negative) to financial metrics that are strongly rank correlated to 1yr and 3 yr total returns for that company's peer group.   It essentially rewards companies for being strong on metrics compared to peers that may be causal to returns and also rewards companies for being weak on metrics compared to peers when being weak on those metrics could lead to better financial performance.   The most granular peer group is always used when available, with Industry Peer Group being most granular, followed by SubSector Peer Group and then Sector Peer Group."]
["S Regional Sector Rank","Rank within the Sector Peer Group on the S  Score with 1 being the highest rank"]
["S Regional SubSector Rank","Rank within the SubSector Peer Group on the S  Score with 1 being the highest rank"]
["S Regional Industry Rank","Rank within the Industry Peer Group on the S  Score with 1 being the highest rank"]
["S Regional Sector Percentile","Percentile within the Sector Peer Group on the S  Score with 100% being the worst"]
["S Regional SubSector Percentile","Percentile within the SubSector Peer Group on the S  Score with 100% being the worst"]
["S Regional Industry Percentile","Percentile within the Industry Peer Group on the S  Score with 100% being the worst"]
["S Positive Correlation Regional Sector Rank","Rank within the Sector Peer Group on the S Positive Correlation Score with 1 being the highest rank"]
["S Positive Correlation Regional SubSector Rank","Rank within the SubSector Peer Group on the S Positive Correlation Score with 1 being the highest rank"]
["S Positive Correlation Regional Industry Rank","Rank within the Industry Peer Group on the S Positive Correlation Score with 1 being the highest rank"]
["S Positive Correlation Regional Sector Percentile","Percentile within the Sector Peer Group on the S Positive Correlation Score with 100% being the worst"]
["S Positive Correlation Regional SubSector Percentile","Percentile within the SubSector Peer Group on the S Positive Correlation Score with 100% being the worst"]
["S Positive Correlation Regional Industry Percentile","Percentile within the Industry Peer Group on the S Positive Correlation Score with 100% being the worst"]
["S Total Correlation Regional Sector Rank","Rank within the Sector Peer Group on the S Total Correlation Score with 1 being the highest rank"]
["S Total Correlation Regional SubSector Rank","Rank within the SubSector Peer Group on the S Total Correlation Score with 1 being the highest rank"]
["S Total Correlation Regional Industry Rank","Rank within the Industry Peer Group on the S Total Correlation Score with 1 being the highest rank"]
["S Total Correlation Regional Sector Percentile","Percentile within the Sector Peer Group on the S Total Correlation Score with 100% being the worst"]
["S Total Correlation Regional SubSector Percentile","Percentile within the SubSector Peer Group on the S Total Correlation Score with 100% being the worst"]
["S Total Correlation Regional Industry Percentile","Percentile within the Industry Peer Group on the S Total Correlation Score with 100% being the worst"]
["G","The G Score averages the G1, G2, and G3 scores from rows 73, 80, and 87 above.   The goal of this means of computing the E score is to provide no subjective value judgement of what is more important among E1, E2, and E3."]
["G Positive Correlation","The G Positive Correlation Score weights the OWL KPIs (G1, G2, G3) based on which KPIs are strongly rank correlated (to the positive) to financial metrics that are strongly rank correlated to 1yr and 3 yr total returns for that company's peer group.   It essentially rewards companies for being strong on metrics compared to peers that may be causal to returns.   The most granular peer group is always used when available, with Industry Peer Group being most granular, followed by SubSector Peer Group and then Sector Peer Group."]
["G Total Correlation","The G Total Correlation Score weights the OWL KPIs (G1, G2, G3) based on which KPIs are strongly rank correlated (to the positive and negative) to financial metrics that are strongly rank correlated to 1yr and 3 yr total returns for that company's peer group.   It essentially rewards companies for being strong on metrics compared to peers that may be causal to returns and also rewards companies for being weak on metrics compared to peers when being weak on those metrics could lead to better financial performance.   The most granular peer group is always used when available, with Industry Peer Group being most granular, followed by SubSector Peer Group and then Sector Peer Group."]
["G Regional Sector Rank","Rank within the Sector Peer Group on the G Score with 1 being the highest rank"]
["G Regional SubSector Rank","Rank within the SubSector Peer Group on the G Score with 1 being the highest rank"]
["G Regional Industry Rank","Rank within the Industry Peer Group on the G Score with 1 being the highest rank"]
["G Regional Sector Percentile","Percentile within the Sector Peer Group on the G Score with 100% being the worst"]
["G Regional SubSector Percentile","Percentile within the SubSector Peer Group on the G Score with 100% being the worst"]
["G Regional Industry Percentile","Percentile within the Industry Peer Group on the G Score with 100% being the worst"]
["G Positive Correlation Regional Sector Rank","Rank within the Sector Peer Group on the G Positive Correlation Score with 1 being the highest rank"]
["G Positive Correlation Regional SubSector Rank","Rank within the SubSector Peer Group on the G Positive Correlation Score with 1 being the highest rank"]
["G Positive Correlation Regional Industry Rank","Rank within the Industry Peer Group on the G Positive Correlation Score with 1 being the highest rank"]
["G Positive Correlation Regional Sector Percentile","Percentile within the Sector Peer Group on the G Positive Correlation Score with 100% being the worst"]
["G Positive Correlation Regional SubSector Percentile","Percentile within the SubSector Peer Group on the G Positive Correlation Score with 100% being the worst"]
["G Positive Correlation Regional Industry Percentile","Percentile within the Industry Peer Group on the G Positive Correlation Score with 100% being the worst"]
["G Total Correlation Regional Sector Rank","Rank within the Sector Peer Group on the G Total Correlation Score with 1 being the highest rank"]
["G Total Correlation Regional SubSector Rank","Rank within the SubSector Peer Group on the G Total Correlation Score with 1 being the highest rank"]
["G Total Correlation Regional Industry Rank","Rank within the Industry Peer Group on the G Total Correlation Score with 1 being the highest rank"]
["G Total Correlation Regional Sector Percentile","Percentile within the Sector Peer Group on the G Total Correlation Score with 100% being the worst"]
["G Total Correlation Regional SubSector Percentile","Percentile within the SubSector Peer Group on the G Total Correlation Score with 100% being the worst"]
["G Total Correlation Regional Industry Percentile","Percentile within the Industry Peer Group on the G Total Correlation Score with 100% being the worst"]
["EMP","The EMP Score averages the EMP1, EMP2, and EMP3 scores from rows 31, 38, and 45 above.   The goal of this means of computing the E score is to provide no subjective value judgement of what is more important among E1, E2, and E3."]
["EMP Positive Correlation","The EMP Positive Correlation Score weights the OWL KPIs (EMP1, EMP2, EMP3) based on which KPIs are strongly rank correlated (to the positive) to financial metrics that are strongly rank correlated to 1yr and 3 yr total returns for that company's peer group.   It essentially rewards companies for being strong on metrics compared to peers that may be causal to returns.   The most granular peer group is always used when available, with Industry Peer Group being most granular, followed by SubSector Peer Group and then Sector Peer Group."]
["EMP Total Correlation","The EMP Total Correlation Score weights the OWL KPIs (EMP1, EMP2, EMP3) based on which KPIs are strongly rank correlated (to the positive and negative) to financial metrics that are strongly rank correlated to 1yr and 3 yr total returns for that company's peer group.   It essentially rewards companies for being strong on metrics compared to peers that may be causal to returns and also rewards companies for being weak on metrics compared to peers when being weak on those metrics could lead to better financial performance.   The most granular peer group is always used when available, with Industry Peer Group being most granular, followed by SubSector Peer Group and then Sector Peer Group."]
["EMP Regional Sector Rank","Rank within the Sector Peer Group on the EMP Score with 1 being the highest rank"]
["EMP Regional SubSector Rank","Rank within the SubSector Peer Group on the EMP Score with 1 being the highest rank"]
["EMP Regional Industry Rank","Rank within the Industry Peer Group on the EMP Score with 1 being the highest rank"]
["EMP Regional Sector Percentile","Percentile within the Sector Peer Group on the EMP Score with 100% being the worst"]
["EMP Regional SubSector Percentile","Percentile within the SubSector Peer Group on the EMP Score with 100% being the worst"]
["EMP Regional Industry Percentile","Percentile within the Industry Peer Group on the EMP Score with 100% being the worst"]
["EMP Positve Correlation Regional Sector Rank","Rank within the Sector Peer Group on the EMP Positve Correlation Score with 1 being the highest rank"]
["EMP Positve Correlation Regional SubSector Rank","Rank within the SubSector Peer Group on the EMP Positve Correlation Score with 1 being the highest rank"]
["EMP Positve Correlation Regional Industry Rank","Rank within the Industry Peer Group on the EMP Positve Correlation Score with 1 being the highest rank"]
["EMP Positve Correlation Regional Sector Percentile","Percentile within the Sector Peer Group on the EMP Positve Correlation Score with 100% being the worst"]
["EMP Positve Correlation Regional SubSector Percentile","Percentile within the SubSector Peer Group on the EMP Positve Correlation Score with 100% being the worst"]
["EMP Positve Correlation Regional Industry Percentile","Percentile within the Industry Peer Group on the EMP Positve Correlation Score with 100% being the worst"]
["EMP Total Correlation Regional Sector Rank","Rank within the Sector Peer Group on the EMP Total Correlation Score with 1 being the highest rank"]
["EMP Total Correlation Regional SubSector Rank","Rank within the SubSector Peer Group on the EMP Total Correlation Score with 1 being the highest rank"]
["EMP Total Correlation Regional Industry Rank","Rank within the Industry Peer Group on the EMP Total Correlation Score with 1 being the highest rank"]
["EMP Total Correlation Regional Sector Percentile","Percentile within the Sector Peer Group on the EMP Total Correlation Score with 100% being the worst"]
["EMP Total Correlation Regional SubSector Percentile","Percentile within the SubSector Peer Group on the EMP Total Correlation Score with 100% being the worst"]
["EMP Total Correlation Regional Industry Percentile","Percentile within the Industry Peer Group on the EMP Total Correlation Score with 100% being the worst"]
["CIT","The CIT Score averages the CIT1, CIT2, and CIT3 scores from rows 52, 59, and 66 above.   The goal of this means of computing the E score is to provide no subjective value judgement of what is more important among E1, E2, and E3."]
["CIT Total Correlation","The CIT Positive Correlation Score weights the OWL KPIs (CIT1, CIT2, CIT3) based on which KPIs are strongly rank correlated (to the positive) to financial metrics that are strongly rank correlated to 1yr and 3 yr total returns for that company's peer group.   It essentially rewards companies for being strong on metrics compared to peers that may be causal to returns.   The most granular peer group is always used when available, with Industry Peer Group being most granular, followed by SubSector Peer Group and then Sector Peer Group."]
["CIT Positive Correlation","The CIT Total Correlation Score weights the OWL KPIs (CIT1, CIT2, CIT3) based on which KPIs are strongly rank correlated (to the positive and negative) to financial metrics that are strongly rank correlated to 1yr and 3 yr total returns for that company's peer group.   It essentially rewards companies for being strong on metrics compared to peers that may be causal to returns and also rewards companies for being weak on metrics compared to peers when being weak on those metrics could lead to better financial performance.   The most granular peer group is always used when available, with Industry Peer Group being most granular, followed by SubSector Peer Group and then Sector Peer Group."]
["CIT Regional Sector Rank","Rank within the Sector Peer Group on the CIT Score with 1 being the highest rank"]
["CIT Regional SubSector Rank","Rank within the SubSector Peer Group on the CIT Score with 1 being the highest rank"]
["CIT Regional Industry Rank","Rank within the Industry Peer Group on the CIT Score with 1 being the highest rank"]
["CIT Regional Sector Percentile","Percentile within the Sector Peer Group on the CIT Score with 100% being the worst"]
["CIT Regional SubSector Percentile","Percentile within the SubSector Peer Group on the CIT Score with 100% being the worst"]
["CIT Regional Industry Percentile","Percentile within the Industry Peer Group on the CIT Score with 100% being the worst"]
["CIT Postivie Correlation Regional Sector Rank","Rank within the Sector Peer Group on the CIT Postivie Correlation Score with 1 being the highest rank"]
["CIT Postivie Correlation Regional SubSector Rank","Rank within the SubSector Peer Group on the CIT Postivie Correlation Score with 1 being the highest rank"]
["CIT Postivie Correlation Regional Industry Rank","Rank within the Industry Peer Group on the CIT Postivie Correlation Score with 1 being the highest rank"]
["CIT Postivie Correlation Regional Sector Percentile","Percentile within the Sector Peer Group on the CIT Postivie Correlation Score with 100% being the worst"]
["CIT Postivie Correlation Regional SubSector Percentile","Percentile within the SubSector Peer Group on the CIT Postivie Correlation Score with 100% being the worst"]
["CIT Postivie Correlation Regional Industry Percentile","Percentile within the Industry Peer Group on the CIT Postivie Correlation Score with 100% being the worst"]
["CIT Total Correlation Regional Sector Rank","Rank within the Sector Peer Group on the CIT Total Correlation Score with 1 being the highest rank"]
["CIT Total Correlation Regional SubSector Rank","Rank within the SubSector Peer Group on the CIT Total Correlation Score with 1 being the highest rank"]
["CIT Total Correlation Regional Industry Rank","Rank within the Industry Peer Group on the CIT Total Correlation Score with 1 being the highest rank"]
["CIT Total Correlation Regional Sector Percentile","Percentile within the Sector Peer Group on the CIT Total Correlation Score with 100% being the worst"]
["CIT Total Correlation Regional SubSector Percentile","Percentile within the SubSector Peer Group on the CIT Total Correlation Score with 100% being the worst"]
["CIT Total Correlation Regional Industry Percentile","Percentile within the Industry Peer Group on the CIT Total Correlation Score with 100% being the worst"]
["Date","End of month date for the month in which metrics were compiled"]

{"sheet":"C Matrix Definitions","index":1,"n_rows":38,"n_cols":2,"rows_kept":38}
["Correlation Matrix"]
[]
["Column Definitions"]
["x_var","X Variable in Pairwise Spearman Rank Correlation"]
["y_var","Y Variable in Pairwise Spearman Rank Correlation"]
["coefficient","Spearman Rank Correlation Coefficient"]
["p_value","Spearman Rank Correlation P-Value"]
["n_x","Number of x variable observations"]
["n_y","number of y variable observations"]
[]
["Row Definitions"]
["PM","Profit Margins"]
["PM1Y","1 Year Profit Margins"]
["PM3Y","3 Year Profit Margins"]
["ROA","Return on Assets"]
["ROA1Y","1 Year Return on Assets"]
["ROA3Y","3 Year Return on Assets"]
["ROE","Return on Equity"]
["ROE1Y","1 Year Return on Equity"]
["ROE3Y","3 Year Return on Equity"]
["ESG","Environmental, Social & Governance Score"]
["E","Environmental Score"]
["S","Social Score"]
["G","Governance Score"]
["EMP","Employer Score"]
["CIT","Citizenship Score"]
["E1","Environmental KPI 1 Score"]
["E2","Environmental KPI 2 Score"]
["E3","Environmental KPI 3 Score"]
["EMP1","Employer KPI 1 Score"]
["EMP2","Employer KPI 2 Score"]
["EMP3","Employer KPI 3 Score"]
["CIT1","Citizenship KPI 1 Score"]
["CIT2","Citizenship KPI 2 Score"]
["CIT3","Citizenship KPI 3 Score"]
["G1","Governance KPI1 Score"]
["G2","Governance KPI2 Score"]
["G3","Governance KPI3 Score"]