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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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Gender Diversity and Securities Fraud

TL;DR: In this article, the effect of board of director gender diversity on the broad spectrum of securities fraud was studied, and three key insights were derived based on ethicality, risk aversion, and diversity.
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Stock market volatility around national elections

TL;DR: In this paper, the authors investigated whether the event of a national election induces higher stock market volatility and found that the countryspecific component of index return variance can easily double during the week around the Election Day, which attests to the fact that investors are surprised by the actual election outcome.
Book ChapterDOI

Affine Term Structure Models

TL;DR: In this paper, the authors present a vector auto regression model for bond yields and show that the cross-section of yields are closely tied together, and that bond yields with long maturities are risky when held over short horizons.
Journal ArticleDOI

Random walks and diffusion on networks

TL;DR: Random walks have been studied for many decades on both regular lattices and (especially in the last couple of decades) on networks with a variety of structures as discussed by the authors, and they are one of the most fundamental types of stochastic processes; can be used to model numerous phenomena, including diffusion, interactions, and opinions among humans and animals; and can extract information about important entities or dense groups of entities in networks.
Journal ArticleDOI

Stock market prices and long-range dependence

TL;DR: Using the CRSP (Center for Research in Security Prices) daily stock return data, the question of whether or not actual stock market prices exhibit long-range dependence is revisited and empirical evidence of long- range dependence in stock price returns is found but the evidence is not absolutely conclusive.
References
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An Econometric Analysis of Nonsynchronous Trading

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An ordered probit analysis of transaction stock prices

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Implementing option pricing models when asset returns are predictable

TL;DR: In this article, the authors propose a class of continuous-time linear diffusion processes for asset prices that can capture a wider variety of predictability, and provide several numerical examples that illustrate their importance for pricing options and other derivative assets.
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