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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

Efficient estimation of a multivariate multiplicative volatility model

TL;DR: This article proposed a multivariate generalization of the multiplicative volatility model of Engle and Rangel (2008), which has a nonparametric long run component and a unit multivariate GARCH short run dynamic component.
Journal ArticleDOI

Are combination forecasts of S&P 500 volatility statistically superior?

TL;DR: In this paper, the authors consider whether combination forecasts of S&P 500 volatility are statistically superior to a wide range of model-based forecasts and implied volatility and find that a combination of model based forecasts is the dominant approach.
Posted Content

The Investor Recognition Hypothesis in a Dynamic General Equilibrium: Theory and

TL;DR: In this paper, Merton's investor recognition hypothesis (IRH) is mapped into corresponding portfolio restrictions that bind a subset of agents, and the model is formulated in continuous time and detailed characterization of equilibrium quantities is provided.
Journal ArticleDOI

Scaling in the Norwegian stock market

TL;DR: In this paper, the authors investigated the validity of the much-used assumptions that stock market returns follow a random walk and are normally distributed and applied the concepts of chaos theory and fractals to examine price variations in the Norwegian and US stock markets.
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Inspecting The Mechanism: Closed-Form Solutions For Asset Prices In Real Business Cycle Models*

TL;DR: In this paper, the authors derive closed-form solutions for asset prices in an RBC economy based on a log-linear solution of the RBC model and allow a clearer understanding of the determination of risk premia in models with production.
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.
Book

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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