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Maria M. Correia

Researcher at London School of Economics and Political Science

Publications -  15
Citations -  1156

Maria M. Correia is an academic researcher from London School of Economics and Political Science. The author has contributed to research in topics: Consolidation (business) & Enforcement. The author has an hindex of 10, co-authored 15 publications receiving 934 citations. Previous affiliations of Maria M. Correia include London Business School.

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Political Connections and SEC Enforcement

TL;DR: This article examined whether firms and executives with long-term political connections through contributions and lobbying incur lower costs from the enforcement actions by the Securities and Exchange Commission (SEC) and found that politically connected firms on average are less likely to be involved in SEC enforcement actions and face lower penalties if they are prosecuted by the SEC.
Journal ArticleDOI

Political connections and SEC enforcement

TL;DR: This paper examined whether firms and executives with long-term political connections through contributions and lobbying incur lower costs from the enforcement actions by the Securities and Exchange Commission (SEC) and found that politically connected firms on average are less likely to be involved in SEC enforcement actions and face lower penalties if they are prosecuted by the SEC.
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Do differences in financial reporting attributes impair the predictive ability of financial ratios for bankruptcy

TL;DR: This paper explored the effect of cross-sectional and time-series differences in financial reporting attributes on the predictive ability of financial ratios for bankruptcy and identified proxies for discretion over financial reporting, the importance of intangible assets, the comprehensiveness of the accounting model and recognition of losses.
Book

Financial Statement Analysis and the Prediction of Financial Distress

TL;DR: A Brief History of the Literature on Financial Ratios as Predictors of Distress can be found in this article, where the authors propose a model for predicting the probability of bankruptcy.
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Value investing in credit markets

TL;DR: In this article, a parsimonious empirical model to assess the relative usefulness of accounting and equity market-based information to explain corporate credit spreads is presented, and it is shown that credit spreads reflect information about forecasted default rates with a significant lag.