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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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Wealth Effects on Consumption - Evidence from the Euro Area

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Strong convergence and stability of implicit numerical methods for stochastic differential equations with non-globally Lipschitz continuous coefficients

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Are there exploitable inefficiencies in the futures market for oil

TL;DR: In this article, the authors used an ANN model with moving average crossover inputs to predict price in the crude oil futures market, which is used to construct buy and sell signals for traders.
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Do Bank Loans and Credit Standards Have an Effect on Output? A Panel Approach for the Euro Area

TL;DR: In this paper, the authors apply the identification strategy employed by Driscoll (2004) for the United States, and provide empirical evidence for the existence of a bank lending channel of monetary policy transmission in the euro area.
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Concentration of measure and spectra of random matrices: Applications to correlation matrices, elliptical distributions and beyond

TL;DR: In this paper, the authors studied the asymptotic properties of correlation and covariance matrices, in the setting where p/n→ρ∈(0, ∞) for general population covariance.
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.
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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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