Financial firms team up on racial equity initiative

This article presents a case study of the 2006-2007 Asian American and Pacific Islander (AAPI) student-led Count Me In! (CMI) campaign. This successful campaign convinced the University of California (UC) to account for 23 AAPI ethnic identities in its data system. Celebrated as a victory for AAPI interests in discourses over racial equity in education, which are often defined by a Black- white racial paradigm, CMI should also be remembered as originating out of efforts to demonstrate AAPI solidarity with Black students and to counter racial wedge politics. In the evolution of the CMI campaign, efforts for cross-racial solidarity soon faded as the desire for institutional validation of AAPI educational struggles was centered. Our case study analysis, guided by sociological frameworks of racism, revealed key limitations in the CMI campaign related to the intricate relations between people of color advocating for racial justice. We conclude with cautions for research and campaigns for ethnically disaggregated AAPI data, and encourage advocates and scholars to address AAPI concerns over educational disparities while simultaneously and intentionally building coalitions for racial equity in higher education.

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Role of Credit Rating in determining Capital structure: Evidence from Non-Financial sector of Pakistan

Studies of Applied Economics ◽

10.25115/eea.v38i3.3066 ◽

2020 ◽

Vol 38 (3) ◽

Cited By ~ 1

Author(s):

Shoaib Ali ◽

Imran Yousaf ◽

Muhammad Naveed

Keyword(s):

Capital Structure ◽

Credit Rating ◽

Least Square ◽

Annual Data ◽

Leverage Ratio ◽

Financial Decisions ◽

Financial Firms ◽

High Level ◽

The Impact ◽

The Capital Structure

This paper aims to examine the impact of external credit ratings on the financial decisions of the firms in Pakistan. This study uses the annual data of 70 non-financial firms for the period 2012-2018. It uses ordinary least square (OLS) to estimate the impact of credit rating on capital structure. The results show that rated firm has a high level of leverage. Moreover, Profitability and tanagability are also found to be a significantly negative determinant of the capital structure, whereas, size of the firm has a significant positive relationship with the capital structure of the firm. Besides, there exists a non-linear relationship between the credit rating and the capital structure. The rated firms have higher leverage as compared to the non-rated firms. The high and low rated firms have a low level of leverage, while mid rated firms have a higher leverage ratio. The finding of the study have practical implications for the manager; they can have easier access to the financial market by just having a credit rating no matter high or low. Policymakers must stress upon the rating agencies to keep improving themselves as their rating severs as the measure to judge the creditworthiness of the firm by both the investors and management as well.

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Effect of Enterprise Risk Management on Firm Value: Empirical Evidence from Non-Financial Firms in Pakistan

GIS Business ◽

10.26643/gis.v13i2.3298 ◽

1970 ◽

Vol 13 (2) ◽

pp. 15-28

Author(s):

Nouman Nasir

Keyword(s):

Risk Management ◽

Firm Value ◽

Positive Impact ◽

Stock Exchange ◽

Enterprise Risk Management ◽

Least Square ◽

Return On Equity ◽

Financial Firms ◽

Enterprise Risk ◽

Ordinary Least Square Regression

This research examines the effect of enterprise risk management on firm value in Pakistan. Further, this study empirically examines company characteristics that establish the execution of an enterprise risk management system. Using a sample of final dataset of 83 non-financial firms located in Pakistan. The sample included non-financial firms from the year 1999 to 2015 and so up to seventeen observation years per company. As in context of Pakistan, most of the organizations are already implement an ERM programs and establish specialized ERM departments because the ERM is now a global term and has become increasingly relevant because of the growing difficulty of risk and an additional development of regulatory frame works. For the empirical evidences, data collected from non-financial firms listed at the Pakistan Stock Exchange (PSX). Results of logistic regression shows that Capital Opacity, Profitability, Financial Leverage, Firm Size and Slack have positive impact on the implementation of an ERM system but Industrial diversification, Industry and Return on Equity are negatively related to an ERM engagement. The results of ordinary least square regression finds positive relationship between use of an ERM and firm value.

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