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Order Imbalance, Liquidity, and Market Returns

TLDR
In this paper, the authors focus on the aggregate daily order imbalance on the New York Stock Exchange and find that market returns are strongly affected by contemporaneous and lagged order imbalances.
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This article is published in Journal of Financial Economics.The article was published on 2002-07-01 and is currently open access. It has received 723 citations till now. The article focuses on the topics: Market liquidity & Order (exchange).

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Citations
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Journal ArticleDOI

Liquidity Risk and Expected Stock Returns

TL;DR: In this article, the authors investigated whether marketwide liquidity is a state variable important for asset pricing and found that expected stock returns are related cross-sectionally to the sensitivities of returns to fluctuations in aggregate liquidity.
Journal ArticleDOI

Econometric measures of connectedness and systemic risk in the finance and insurance sectors

TL;DR: In this article, the authors proposed several econometric measures of connectedness based on principal component analysis and Granger-causality networks, and applied them to the monthly returns of hedge funds, banks, broker/dealers, and insurance companies.
Journal ArticleDOI

Idiosyncratic Risk Matters

TL;DR: In this paper, the authors take a new look at the predictability of stock market returns with risk measures and find a signi cant positive relation between average stock variance (largely idiosyncratic) and the return on the market.
Journal ArticleDOI

Liquidity and Expected Returns: Lessons From Emerging Markets

TL;DR: In this paper, the authors examined the impact of liquidity on expected returns in emerging markets and found that unexpected liquidity shocks are positively correlated with contemporaneous return shocks and negatively correlated with shocks to the dividend yield.
Journal ArticleDOI

Liquidity Risk and Expected Stock Returns

TL;DR: This article investigated whether market-wide liquidity is a state variable important for asset pricing and found that expected stock returns are related cross-sectionally to the sensitivities of returns to fluctuations in aggregate liquidity.
References
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Journal ArticleDOI

Continuous Auctions and Insider Trading

Albert S. Kyle
- 01 Nov 1985 - 
Book

The Theory and Practice of Econometrics

TL;DR: The Classical Inference Approach for the General Linear Model, Statistical Decision Theory and Biased Estimation, and the Bayesian Approach to Inference are reviewed.
Journal ArticleDOI

Inferring Trade Direction from Intraday Data

TL;DR: In this paper, the authors evaluate alternative methods for classifying individual trades as market buy or market sell orders using intraday trade and quote data and identify two serious potential problems with this method, namely, that quotes are often recorded ahead of the trade that triggered them and that trades inside the spread are not readily classifiable.
Journal ArticleDOI

The Relation between Price Changes and Trading Volume: A Survey

TL;DR: In this paper, the authors reviewed previous and current research on the relation between price changes and trading volume in financial markets, and made four contributions: two empirical relations are established: volume is positively related to the magnitude of the price change and, in equity markets, to the price changes per se.
Journal ArticleDOI

Stock return variances: The arrival of information and the reaction of traders

TL;DR: In this paper, the authors consider three explanations for the volatility of asset prices during exchange trading hours than during non-trading hours: public information which is more likely to arrive during normal business hours, private information which affects prices when informed investors trade, and pricing errors that occur during trading.
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Frequently Asked Questions (9)
Q1. What are the contributions mentioned in the paper "Order imbalance, liquidity, and market returns" ?

In this paper, the authors focus on the aggregate daily order imbalance on the New York Stock Exchange and find that market returns are strongly affected by contemporaneous and lagged order imbalance. 

The authors also performed regressions using value-weighted and equally-weighted order imbalances for all NYSE stocks, and value-weighted imbalances for NYSE stocks in the top size decile. 

A trade is excluded if it is out of sequence, recorded before the open or after the closing time,or has special settlement conditions (because it might then be subject to distinct liquidity considerations).• 

Because their trading characteristics might differ from ordinary equities, assets in thefollowing categories were also expunged: certificates, ADRs, shares of beneficial interest, units, companies incorporated outside the U.S., Americus Trust components, closed-end funds, preferred stocks and REITs. 

This finding relates to the fact that the authors sign market orders in their analysis, which suggests that the excess of buy market orders over sell market orders is accommodated by the limit order book, provided specialists succeed in maintaining zero inventory levels on average. 

The transactions data sources are the Institute for the Study of Securities Markets (ISSM) and the New York Stock Exchange TAQ (trades and automated quotations). 

To avoid the influence of unduly high-priced stocks, if the price at any month-end during theyear was greater than $999, the stock was deleted from the sample for the year. 

If the firm changed exchanges from Nasdaq to NYSE during the year (no firms switchedfrom the NYSE to the Nasdaq during their sample period), it was dropped from the sample for that year.• 

To keep the size of their sample manageable, and also because signing trades for Nasdaqstocks is problematic (see, e.g., Christie and Schultz, 1999), and also, the authors include only NYSE stocks in the calculation of aggregate order imbalance.•