Knowledge (XXG)

Slippage (finance)

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To properly understand slippage, let's use the following example: Say, you (as a trader) wanted to purchase 20,000 shares of SPY right now. The problem here is that the current ASK price of $ 151.08 only contains 3900 shares being offered for sale, but you want to purchase 20,000 shares. If you
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of the above execution is $ 151.11585. The difference between the current ASK price ($ 151.08) and the average purchase price ($ 151.11585) represents the slippage. In this case, the cost of slippage would be calculated as follows: 20,000 X $ 151.08 - 20,000 X $ 151.11585 = $ -717.00
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Knight and Satchell mention a flow trader needs to consider the effect of executing a large order on the market and to adjust the bid-ask spread accordingly. They calculate the liquidity cost as the difference between the execution price and the initial execution price.
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need to purchase those shares now, then you must use a market order and you will incur slippage by doing so. Using a market order to purchase your 20,000 shares would yield the following executions (assuming no hidden orders in the market depth):
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value of the position increases. The danger occurs when the trader attempts to exit their position. If the trader manages to create a squeeze large enough then this phenomenon can be profitable. This can also be considered a type of
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The top left of the image represents the current BID price ($ 151.07) and the top right of the image represents the current ASK price ($ 151.08). At the $ 151.07 bid price point, there are 300 shares available (200 by the
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The left hand side of the image contains the market depth for the current BID prices and the right hand side of the image contains the market depth for the current ASK prices. Each side of the image contains three columns:
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is the difference between where the computer signaled the entry and exit for a trade and where actual clients, with actual money, entered and exited the market using the computer's signals.
448: 64:(1997) defines slippage as the difference between the average execution price and the initial midpoint of the bid and the offer for a given quantity to be executed. 230:
Buy 500 @ $ 151.25 (only 500 shares out of the 2000 being offered at this price point are executed, because this will represent our entire 20,000 share order)
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is often used to reduce slippage, and algorithms can be backtested on past data to see the effects of slippage, but it is impossible to eliminate.
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The associated image depicts the Level II (Market Depth) quotes of the SPY ETF (Exchange-Traded Fund) at a given instant in time.
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Reverse slippage, as described by Taleb, occurs when the purchase of a large position is done at increasing prices, so that the
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Size: the number of shares at this price level (represented in hundreds). So, 2 actually means 200 shares.
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Market Maker). This is typically represented in quote form as: $ 151.07 X 300 by $ 151.08 X 3900).
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Difference between estimated transaction costs and the amount actually paid
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This article is about the financial concept. For other uses, see
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Dynamic Hedging: Managing Vanilla and Exotic Options
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Knight, Stephen Satchell (2003). 301:Learn how and when to remove this message 135:Learn how and when to remove this message 30:as well as other financial instruments, 2065:Power reverse dual-currency note (PRDC) 2005:Constant proportion portfolio insurance 395: 163:MM Name: the Market Maker name column 7: 2000:Collateralized debt obligation (CDO) 279:adding citations to reliable sources 113:adding citations to reliable sources 14: 2119: 705:Electronic communication network 251: 85: 166:Price: the "market depth" price 151:Slippage Example on the SPY ETF 1827:Year-on-year inflation-indexed 332:Taleb, Nassim Nicolas (1997). 1: 1837:Zero-coupon inflation-indexed 699:Multilateral trading facility 68:Using initial execution price 1122:Returns-based style analysis 918:Post-modern portfolio theory 824:Security characteristic line 178:Market Maker and 100 by the 2040:Foreign exchange derivative 1432:Callable bull/bear contract 876:Efficient-market hypothesis 780:Capital asset pricing model 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New York: 333: 312: 297: 288: 273:Please help 261: 233: 188: 172: 157: 154: 131: 122: 107:Please help 95: 71: 60: 44: 31: 25: 1832:Zero Coupon 1762:Correlation 1710:Vanna–Volga 1568:Iron condor 1354:Bond option 1192:Uptick rule 1172:Stock split 1152:Squeeze-out 1147:Speculation 1092:Open outcry 981:Block trade 913:Pairs trade 52:Measurement 2141:Categories 2106:Tax policy 1822:Volatility 1732:Amortising 1573:Jelly roll 1508:Box spread 1503:Backspread 1495:Strategies 1331:Volatility 1326:the Greeks 1291:Expiration 1197:Volatility 1177:Stock swap 1097:Order book 848:strategies 774:Book value 642:Arbitrager 637:Speculator 391:References 1797:Inflation 1747:Commodity 1705:Trinomial 1640:Bachelier 1632:Valuation 1513:Butterfly 1447:Commodore 1296:Moneyness 813:Fed model 808:EV/EBITDA 723:Dark pool 654:Regulator 499:Types of 465:Types of 262:does not 96:does not 40:liquidity 1936:Slippage 1866:Contango 1850:Forwards 1817:Variance 1777:Dividend 1772:Currency 1685:Margrabe 1680:Lattices 1659:equation 1645:Binomial 1593:Strangle 1588:Straddle 1485:Swaption 1467:Lookback 1452:Compound 1394:Warrants 1369:European 1349:American 1341:Vanillas 1306:Pin risk 1286:Exercise 1142:Slippage 1102:Position 1087:Momentum 991:Dividend 670:Exchange 627:Investor 379:See also 291:May 2021 180:DRCTEDGE 125:May 2021 32:slippage 21:Slippage 1855:Futures 1475:Rainbow 1442:Cliquet 1437:Chooser 1417:Barrier 1404:Exotics 1266:Options 1031:Haircut 835:T-model 647:Scalper 467:markets 283:removed 268:sources 117:removed 102:sources 77:Example 1916:Margin 1782:Equity 1675:Heston 1578:Ladder 1528:Condor 1523:Collar 1480:Spread 1427:Binary 1422:Basket 1052:Margin 920:(PMPT) 782:(CAPM) 632:Hedger 605:Trader 578:Broker 501:stocks 367:  344:  1787:Forex 1742:Basis 1737:Asset 1724:Swaps 1650:Black 1553:Fence 1412:Asian 1274:Terms 1207:Yield 1182:Trade 1117:Rally 1038:(IPO) 926:(RMH) 899:(MPT) 878:(EMH) 831:(SML) 820:(NAV) 794:(DDM) 788:(CML) 759:(APT) 752:Alpha 719:(STP) 713:(DMA) 707:(ECN) 701:(MTF) 695:(ATS) 1621:Bull 1617:Bear 1359:Call 1042:Long 846:and 776:(BV) 763:Beta 365:ISBN 342:ISBN 266:any 264:cite 234:The 184:BATS 176:ARCA 100:any 98:cite 1389:Put 277:by 111:by 2143:: 1619:, 1379:FX 363:. 359:. 340:. 322:. 38:, 1661:) 1657:( 1623:) 1615:( 1241:e 1234:t 1227:v 450:e 443:t 436:v 420:. 373:. 350:. 304:) 298:( 293:) 289:( 285:. 271:. 138:) 132:( 127:) 123:( 119:. 105:. 23:.

Index

Slippage
futures contracts
Market impact
liquidity
Algorithmic trading
Nassim Nicholas Taleb

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ARCA
DRCTEDGE
BATS
average purchase price

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mark to market
market making
John Wiley & Sons
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978-0-471-15280-4

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