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The econometrics of financial markets

TLDR
In this paper, Campbell, Lo, and MacKinlay present an attempt by three well-known and well-respected scholars to fill an acknowledged void in the empirical finance literature, a text covering the burgeoning field of empirical finance.
Abstract
This book is an ambitious effort by three well-known and well-respected scholars to fill an acknowledged void in the literature—a text covering the burgeoning field of empirical finance. As the authors note in the preface, there are several excellent books covering financial theory at a level suitable for a Ph.D. class or as a reference for academics and practitioners, but there is little or nothing similar that covers econometric methods and applications. Perhaps the closest existing text is the recent addition to the Wiley Series in Financial and Quantitative Analysis. written by Cuthbertson (1996). The major difference between the books is that Cuthbertson focuses exclusively on asset pricing in the stock, bond, and foreign exchange markets, whereas Campbell, Lo, and MacKinlay (henceforth CLM) consider empirical applications throughout the field of finance, including corporate finance, derivatives markets, and market microstructure. The level of anticipation preceding publication can be partly measured by the fact that at least three reviews (including this one) have appeared since the book arrived. Moreover, in their reviews, both Harvey (1998) and Tiso (1998) comment on the need for such a text, a sentiment that has been echoed by numerous finance academics.

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Journal ArticleDOI

Generalized reduced rank tests using the singular value decomposition

TL;DR: In this paper, the authors proposed a rank test based on matrix perturbation theory, which overcomes deficiencies of existing rank statistics, such as: a Kronecker covariance matrix for the canonical correlation rank statistic of Anderson [Annals of Mathematical Statistics (1951), 22, 327-351] sensitivity to the ordering of the variables for the LDU rank statistics of Cragg and Donald [1996, 91, 1301-1309] and Gill and Lewbel [Journal of the American Statistical Association (1992), 87, 766-776] a limiting
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Giving Content to Investor Sentiment: The Role of Media in the Stock Market

TL;DR: The authors quantitatively measure the nature of the media's interactions with the stock market using daily content from a popular Wall Street Journal column and find that high media pessimism predicts downward pressure on market prices followed by a reversion to fundamentals.
Book ChapterDOI

Risk Management: Correlation and Dependence in Risk Management: Properties and Pitfalls

TL;DR: This article deals with the static (nontime- dependent) case and emphasizes the copula representation of dependence for a random vector and the problem of finding multivariate models which are consistent with prespecified marginal distributions and correlations is addressed.
Journal ArticleDOI

The relationship between corporate social responsibility and shareholder value: an empirical test of the risk management hypothesis

TL;DR: In this article, the authors extended the risk management model by theorizing that some types of CSR activities will be more likely to create goodwill and offer insurance-like protection than other types.
Journal ArticleDOI

Robust standard errors for panel regressions with cross–sectional dependence

TL;DR: In this article, the authors present a new Stata program, xtscc, that estimates pooled or dual least squares/weighted least squares regression and xed-eects (within) regression models with Driscoll and Kraay (Review of Economics and Statistics 80: 549{560) standard errors.
References
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An ordered probit analysis of transaction stock prices

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