Search results for "optimal liquidation"

showing 4 items of 4 documents

A theory for long-memory in supply and demand

2004

Recent empirical studies have demonstrated long-memory in the signs of orders to buy or sell in financial markets [2, 19]. We show how this can be caused by delays in market clearing. Under the common practice of order splitting, large orders are broken up into pieces and executed incrementally. If the size of such large orders is power law distributed, this gives rise to power law decaying autocorrelations in the signs of executed orders. More specifically, we show that if the cumulative distribution of large orders of volume v is proportional to v to the power -alpha and the size of executed orders is constant, the autocorrelation of order signs as a function of the lag tau is asymptotica…

PhysicsPhysics - Physics and SocietyActuarial scienceQuantitative Finance - Trading and Market MicrostructureCumulative distribution functionAutocorrelationFOS: Physical sciencesOrder (ring theory)Physics and Society (physics.soc-ph)Function (mathematics)Trading and Market Microstructure (q-fin.TR)FOS: Economics and businessCombinatoricsCondensed Matter - Other Condensed MatterExecution Commerce optimal liquidationLong memoryDiffusion (business)Constant (mathematics)Other Condensed Matter (cond-mat.other)
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Market efficiency and the long-memory of supply and demand: is price impact variable and permanent or fixed and temporary?

2016

In this comment we discuss the problem of reconciling the linear efficiency of price returns with the long-memory of supply and demand. We present new evidence that shows that efficiency is maintained by a liquidity imbalance that co-moves with the imbalance of buyer vs. seller initiated transactions. For example, during a period where there is an excess of buyer initiated transactions, there is also more liquidity for buy orders than sell orders, so that buy orders generate smaller and less frequent price responses than sell orders. At the moment a buy order is placed the transaction sign imbalance tends to dominate, generating a price impact. However, the liquidity imbalance rapidly incre…

SupplyPhysics - Physics and SocietyQuantitative Finance - Trading and Market MicrostructureSupply shockMarket demand scheduleMarket clearingCommerceFOS: Physical sciencesPhysics and Society (physics.soc-ph)Trading and Market Microstructure (q-fin.TR)Excess supplySupply and demandFOS: Economics and businessMicroeconomicsExecutionDemand curveEconomicsoptimal liquidationGeneral Economics Econometrics and FinanceFinanceAggregate demand
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What really causes large price changes?

2003

We study the cause of large fluctuations in prices in the London Stock Exchange. This is done at the microscopic level of individual events, where an event is the placement or cancellation of an order to buy or sell. We show that price fluctuations caused by individual market orders are essentially independent of the volume of orders. Instead, large price fluctuations are driven by liquidity fluctuations, variations in the market's ability to absorb new orders. Even for the most liquid stocks there can be substantial gaps in the order book, corresponding to a block of adjacent price levels containing no quotes. When such a gap exists next to the best price, a new order can remove the best q…

Volume-weighted average priceQuantitative Finance - Trading and Market MicrostructureFinancial economicsMid priceFOS: Physical sciencesTrading and Market Microstructure (q-fin.TR)Market liquidityFOS: Economics and businessCondensed Matter - Other Condensed MatterExecution Commerce optimal liquidationMarket depthOrder (exchange)EconomicsOrder bookEconometricsPrice levelGeneral Economics Econometrics and FinanceFinanceLimit priceOther Condensed Matter (cond-mat.other)Quantitative Finance
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The long memory of efficient market

2004

For the London Stock Exchange we demonstrate that the signs of orders obey a long-memory process. The autocorrelation function decays roughly as a power law with an exponent of 0.6, corresponding to a Hurst exponent H = 0.7. This implies that the signs of future orders are quite predictable from the signs of past orders; all else being equal, this would suggest a very strong market inefficiency. We demonstrate, however, that fluctuations in order signs are compensated for by anti-correlated fluctuations in transaction size and liquidity, which are also long-memory processes that act to make the returns whiter. We show that some institutions display long-range memory and others don't.

Execution Commerce optimal liquidation
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