1. Introduction and Overview. 2. Detecting Influential Observations and Outliers. 3. Detecting and Assessing Collinearity. 4. Applications and Remedies. 5. Research Issues and Directions for Extensions. Bibliography. Author Index. Subject Index.

Regression Diagnostics: Identifying Influential Data and Sources of Collinearity

Offering a unifying theoretical perspective not readily available in any other text, this innovative guide to econometrics uses simple geometrical arguments to develop students' intuitive understanding of basic and advanced topics, emphasizing throughout the practical applications of modern theory and nonlinear techniques of estimation. One theme of the text is the use of artificial regressions for estimation, reference, and specification testing of nonlinear models, including diagnostic tests for parameter constancy, serial correlation, heteroscedasticity, and other types of mis-specification. Explaining how estimates can be obtained and tests can be carried out, the authors go beyond a mere algebraic description to one that can be easily translated into the commands of a standard econometric software package. Covering an unprecedented range of problems with a consistent emphasis on those that arise in applied work, this accessible and coherent guide to the most vital topics in econometrics today is indispensable for advanced students of econometrics and students of statistics interested in regression and related topics. It will also suit practising econometricians who want to update their skills. Flexibly designed to accommodate a variety of course levels, it offers both complete coverage of the basic material and separate chapters on areas of specialized interest.

Estimation and Inference in Econometrics

Earnings Management and Investor Protection: An International Comparison

Stable non-Gaussian random processes , by G. Samorodnitsky and M. S. Taqqu. Pp. 632. £49.50. 1994. ISBN 0-412-05171-0 (Chapman and Hall).

Features of Financial Returns Modelling Price Volatility Forecasting Standard Deviations The Accuracy of Autocorrelation Estimates Testing the Random Walk Hypothesis Forecasting Trends in Prices Evidence Against the Efficiency of Futures Markets Valuing Options Appendix: A Computer Program for Modelling Financial Time Series.

Modelling Financial Time Series

This study provides empirical evidence on how corporate sustainability performance (CSP), as proxied by membership of the Dow Jones sustainability index, is reflected in the market value of equity. Using a theoretical framework combining institutional perspectives, stakeholder theory, and resource-based perspectives, we develop a set of hypotheses that relate the market value of equity to CSP. For a sample of North American firms, our preliminary results show that CSP has significant explanatory power for stock prices over the traditional summary accounting measures such as earnings and book value of equity. However, further analyses suggest that we should not focus on corporate sustainability itself. Our findings suggest that what investors really do is to penalize large profitable firms with low level of CSP. Firms with incentives to develop a high level of CSP not engaging on such strategy are, thus, penalized by the market.

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How Does the Market Value Corporate Sustainability Performance

This study investigates whether the market valuation of the two summary accounting measures, book value of equity and net income, is higher for firms with reputation for sustainability leadership, when compared to firms that do not enjoy such reputation. The results are interpreted through the lens of a framework combining signalling theory and resource-based theory, according to which firms signal their commitment to sustainability to influence the external perception of reputation. A firm’s reputation for being committed to sustainability is an intangible resource that can increase the value of a firm’s expected cash flows and/or reduce the variability of its cash flows. Our findings are according to expectations and show that the net income of firms with good sustainability reputation has a higher valuation by the market, when compared to their counterparts.

The Value Relevance of Reputation for Sustainability Leadership

In this paper, we propose a new corrected variance inflation factor (VIF) measure to evaluate the impact of the correlation among the explanatory variables in the variance of the ordinary least squares estimators. We show that the real impact on variance can be overestimated by the traditional VIF when the explanatory variables contain no redundant information about the dependent variable and a corrected version of this multicollinearity indicator becomes necessary.

The corrected VIF (CVIF)

Through rule 1606/2002 by the European Commission, Portuguese listed firms were required to adopt IASB standards in the preparation and presentation of consolidated accounts for the periods beginning on or after 2005. IASB standards are developed in environments where accounting practices are especially directed at the private sector, reporting rules are largely unaffected by taxation requirements and capital is traditionally raised in public markets. However, in Portugal, financial reporting is closely related to tax reporting and banks play a key role in providing finance and inside access to information. We investigate whether adopting IASB standards is associated with higher earnings quality and higher value relevance. We compare the earnings quality and value relevance of accounting data of 34 Portuguese listed firms before (1995-2004) and after (2004-2005) the adoption of IASB standards. We find that firms, during the period when they adopt IASB standards, report less smooth earnings than those firms in periods when they adopted national accounting standards, which seems to suggest an improvement in earnings quality. However, we also find that the value relevance of accounting information decreases with the adoption of IASB standards.

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Accounting quality and the adoption of IASB standards: portuguese evidence

Background and objectives: There is increasing evidence that altered bone metabolism is associated with cardiovascular calcifications in patients with stage 5 chronic kidney disease on hemodialysis (HD). This study was conducted to evaluate the association between bone volume, turnover, and coronary calcifications in HD patients. Design, setting, participants, & measurements: In a cross-sectional study, bone biopsies and multislice computed tomography were performed in 38 HD patients. Bone volume/total volume, activation frequency, and bone formation rate/bone surface were determined by histomorphometry and coronary calcifications were quantified by Agatston scores. Results: Prevalence of low bone turnover was 50% and of low bone volume was 16%. Among the studied traditional cardiovascular risk factors, only age was found to be associated with coronary calcifications. Lower bone volume was a significant risk factor for coronary calcifications during early years of HD, whereas this effect was not observed in patients with dialysis duration >6 yr. Histomorphometric parameters of bone turnover were not associated with coronary calcifications. Conclusions: Low bone volume is associated with increased coronary calcifications in patients on HD. Clin J Am Soc Nephrol 4: 450–455, 2009. doi: 10.2215/CJN.01870408

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José Dias Curto

Papers

How Does the Market Value Corporate Sustainability Performance

The Value Relevance of Reputation for Sustainability Leadership

The corrected VIF (CVIF)

Accounting quality and the adoption of IASB standards: portuguese evidence

Low bone volume--a risk factor for coronary calcifications in hemodialysis patients