The HKU Scholars Hub (University of Hong Kong) · 2010 · 19 citations · 48 references
BusinessEconomicsFinanceFinancial EconomicsFinancial MarketsQuantitative FinanceCapital MarketsFutures MarketsMarket MicrostructureStock MarketsArbitrage EffectsBid-ask DynamicsImbalanceIndex ArbitrageMarket Microstructure AnalysisSpurious CorrelationStock Index Futures
This study uses transaction records of index futures and index stocks, with bid/ask price quotes, to examine the impact of stock market order imbalance on the dynamic behavior of index futures and cash index prices. Spurious correlation in the index is purged by using an estimate of the "true" indexwith highly synchronous and active quotes of individual stocks. A smooth transition autoregressive error correction model is used to describe the non-linear dynamics of the index and futures prices. Order imbalance in the cash stock market is found to affect significantly the error correction dynamics of index and futures prices. Order imbalance impedes error correction particularly when the market impact of order imbalance works against the error correction force of the cash index, explaining why real potential arbitrage opportunities may persist over time. Incorporating order imbalance in the framework significantly improves its explanatory power. The findings indicate that a stock market microstructure that allows a quick resolution of order imbalance promotes dynamic arbitrage efficiency between futures and underlying stocks. The results also suggest that the unloading of cash stocks by portfolio managers in a falling market situation aggravates the price decline and increases the real cost of hedging with futures. © 2007 Wiley Periodicals, Inc.
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Inferring Trade Direction from Intraday Data
Charles M.C. Lee, Mark J. Ready · The Journal of Finance · 1991 · 3K citations
Business, Data Science, Data Mining +11
Order Flow and Exchange Rate Dynamics
Martin D.D. Evans, Richard K. Lyons · Journal of Political Economy · 2002 · 980 citations