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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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Market Force, Ecology, and Evolution

TL;DR: In financial markets, an excess of buying tends to drive prices up, and a excess of selling tend to drive them down as mentioned in this paper, and this is called market impact, which is defined as the tendency for self-fulfilling prophesies.
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Glossary to ARCH (GARCH)

TL;DR: The literature on modeling and forecasting time-varying volatility is ripe with acronyms and abbreviations used to describe the many different parametric models that have been put forth since the original linear ARCH model introduced in the seminal Nobel Prize winning paper by Engle (1982).
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Leverage effect in financial markets: the retarded volatility model.

TL;DR: This work investigates quantitatively the so-called "leverage effect," which corresponds to a negative correlation between past returns and future volatility, which is moderate and decays over 50 days, while for stock indices it is much stronger but decays faster.
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Policy Punctuations in American Political Institutions

TL;DR: The authors used a stochastic process approach to compare the extent of punctuations among 15 data sets that assess change in U.S. government budgets, in a variety of aspects of the public policy process, in election results, and in stock market returns in the United States.
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Dynamic Mean-Variance Portfolio Selection with No-Shorting Constraints

TL;DR: A continuous function is constructed via two Riccati equations, and it is shown that this function is a viscosity solution to the HJB equation, enabling one to explicitly obtain the efficient frontier and efficient investment strategies for the original mean-variance problem.
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