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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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Anticipations of Monetary Policy in Financial Markets

TL;DR: In this paper, the authors consider institutional developments in FOMC policy making that may have contributed to each of these components, including gradualism in adjusting the federal funds rate target and transparency regarding the setting of the target and future policy intentions.
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What has driven oil prices since 2000? A structural change perspective

TL;DR: In this article, the authors characterized weekly international oil price fundamentals since 2000 by analyzing the transformation of the market mechanism based on structural change perspective using endogenously-determined break tests that allow for changes in both level and trend.
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High frequency financial econometrics : recent developments

TL;DR: In this paper, a multivariate integer count hurdle model is proposed for high frequency financial econometrics and the mixture of distribution hypothesis is used to model exchange rate volatility and order aggressiveness and order book dynamics.
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Rational Inattention and Portfolio Selection

TL;DR: In this article, the authors show that rational inattention to important news may make investors over- or under invest, and that the optimal trading strategy is myopic with respect to future news frequency and accuracy.
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A New Class of Tests of Contagion With Applications

TL;DR: In this article, a new class of tests of contagion is proposed identifying transmission channels of financial market crises through changes in higher order moments of the distribution of returns such as coskewness.
References
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An Econometric Analysis of Nonsynchronous Trading

TL;DR: In this article, a stochastic model of nonsynchronous asset prices based on sampling with random censoring is developed to estimate the effects of infrequent trading on the time series properties of asset returns.
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An Econometric Analysis of Nonsynchronous Trading

TL;DR: In this paper, a stochastic model of nonsynchronous asset prices based on sampling with random censoring is developed, which allows the explicit calculation of the effects of infrequent trading on the time series properties of asset returns.
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An ordered probit analysis of transaction stock prices

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Quantitative Financial Economics: Stocks, Bonds and Foreign Exchange

TL;DR: This new edition of the hugely successful Quantitative Financial Economics has been revised and updated to reflect the most recent theoretical and econometric/empirical advances in the financial markets as discussed by the authors.
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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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