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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

The Value of Connections in Turbulent Times: Evidence from the United States

TL;DR: The authors found that the announcement of Timothy Geithner as nominee for Treasury Secretary in November 2008 produced a cumulative abnormal return for financial firms with which he had a connection, which reflected the perceived impact of relying on the advice of a small network of financial sector executives during a time of acute crisis and heightened policy discretion.
Book ChapterDOI

Measuring and Modeling Variation in the Risk-Return Trade-off

TL;DR: In this paper, the authors review what is known about the time-series evolution of the risk-return tradeoff for stock market investment and present some new empirical evidence, which is crucial to the development of theoretical models capable of explaining observed patterns of stock market predictability and volatility.
Journal ArticleDOI

LAPM: A Liquidity-Based Asset Pricing Model

TL;DR: In this paper, the authors develop an alternative approach to asset pricing based on corporations' desire to hoard liquidity. But their approach is limited to the case of financial assets and does not consider consumer's time preference and risk aversion in determining asset prices.
Journal ArticleDOI

Convergence trading with wealth effects: an amplification mechanism in financial markets

TL;DR: In this paper, the authors study convergence traders with logarithmic utility in a continuous-time equilibrium model and show that when an unfavorable shock causes them to suffer capital losses, thus eroding their risk-bearing capacity, they liquidate their positions, thereby amplifying the original shock.
Journal ArticleDOI

International capital flows

TL;DR: The authors developed the implications of portfolio choice for both gross and net international capital flows in the context of a simple two-country dynamic stochastic general equilibrium (DSGE) model.
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.
Book

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.
Journal ArticleDOI

An ordered probit analysis of transaction stock prices

TL;DR: In this paper, the authors estimate the conditional distribution of trade-to-trade price changes using ordered probit, a statistical model for discrete random variables, recognizing that transaction price changes occur in discrete increments, typically eighths of a dollar, and occur at irregularly-spaced time intervals.
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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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