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How to find liquidity in Forex pdf?
A liquidity zone is an area in the forex market where there is a high concentration of buyers and sellers, leading to high trading volume and tight bid-ask spreads.What is the liquidity zone in Forex?
Usually, liquidity is calculated by taking the volume of trades or the volume of pending trades currently on the market. Liquidity is considered “high” when there is a significant level of trading activity and when there is both high supply and demand for an asset, as it is easier to find a buyer or seller.How do you identify an area of liquidity in Forex?
FX is global, trading 24 hours, 5.5 days a week.
2011-4
Swiss National Bank Working Papers
Intraday patterns in FX returns and order flow
Francis Breedon and Angelo Ranaldo
The views expressed in this paper are those of the author(s) and do not necessarily represent those of the
Swiss National Bank. Working Papers describe research in progress. Their aim is to elicit comments and to
further debate.Copyright ©
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The SNB accepts no responsibility for any information it provides. Under no circumstances will it accept any
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applies, in particular, to the topicality, accuracy, validity and availability of the information.ISSN 1660-7716 (printed version)
ISSN 1660-7724 (online version)
1IntradaypatternsinFXreturns
andorderflowFrancisBreedonandAngeloRanaldo
November2010
ABSTRACT
foreign flow and tocorroboratethat interpretation.JELͲkeys:G15
NicholasBrownof
232
1.Introduction
1 andreturns.As our evidence index (cf.,forexample,RogoffRimeetal(2010).
1 Order 233 2
Ranaldo(2009)usesindicativequotesfromthe
2 454 interdealer allowing
EberlyandPanageas(2009).
2DataandtimeͲofͲdayeffects
2.1Data
455 turnover(whereReutersdominates). 3 For 4 .Forthe hour
2.2TimeofDayeffects
Cornett
effect. 3 consideredandtheresultsremainunchanged. 4 676
Table1:EstimatedtradinghoursinFXmarkets
(standard/daylightsaving)FuturesmarketsJapan8.00Ͳ15.00+13/+14hoursTIF(noFX)
calculations significant parametricsigntestofreturns.1) Simpletestofsignificantexcessreturns.WeconducttwoͲsampletͲtestsfortheacceptanceofthe
677 5
2) Excessreturnsallowingforheteroscedasticityandautocorrelation.Adrawbackofasimpletestof
performedGARCHregressionsasfollows: 2411 k t i h h h t i k t i hk rɲdʌrɸ (1) 24222
,, 1 , 1
1t ih h t i t i
h (2) criterion.Theconditionalvarianceʍ 2 ofthe for heteroscedasticity3) Signtest.AsasimplenonͲparametrictestofthepropertiesofhourlyreturnswealsoassessthe
5 898 resultsavailablefromtheauthors). 89
9 pair
TradingsessionMidͲquote
returnMidͲquote returnGARCHSharepositiveTradingreturn EUR/USDEURsession Ͳ0.084**Ͳ0.095**0.44**0.06USDsession0.100**0.111**0.53*0.07
USDsession0.0000.0180.50Ͳ0.05
JPYsession Ͳ0.057**Ͳ0.040*0.48**Ͳ0.42
GBP/USDGBPsession Ͳ0.071**Ͳ0.066**0.45**Ͳ0.12USDsession0.092**0.126**0.55**Ͳ0.08
USDsession Ͳ0.088**Ͳ0.105**0.48Ͳ0.02
AUD/USDAUDsession Ͳ0.028**Ͳ0.038*0.50Ͳ0.51USDsession0.016**0.0230.52**Ͳ0.50
Starting
101110 afternoonlong.This 6 sincewewishtominimisethe possibilityofdataͲminingbiases.
2.3Stabilitythroughtime
6 day (seeRanaldo(2009)forfurtheranalysis).
101111
1999 2000 2001 2002 2003 2004 2005 2006 2007
EURsession
USDsession
Average
standardtͲtest.3Timeofdayeffectsandorderflow
3.1TimeofdayeffectsinFXorderflow
121312
TimeperiodOrderflowOrderflow
GARCHSharepositiveResidualreturns
EUR/USDEURsession Ͳ2.190**Ͳ1.415**0.457**0.0098USDsession2.284**3.950**0.522**0.0004
USD/JPYJPYsession0.3740.2220.5050.0003
USDsession Ͳ0.278*Ͳ0.1640.4960.0003
EUR/JPYEURsession0.0650.0200.487* Ͳ0.0006
JPYsession0.308**0.450*0.520**0.0001
GBP/USDGBPsession Ͳ0.264**Ͳ0.284**0.483** Ͳ0.0001USDsession0.132**0.213**0.509*0.0004
USD/CHFCHFsession1.461**1.500**0.530** Ͳ0.0002
USDsession0.3291.254*0.496Ͳ0.0005
USDsession Ͳ0.500*Ͳ0.2710.5980.0000
Average
returns. ratherthanexporters,asimports 121313
EUR/USDUSD/JPY
EUR/JPYGBP/USD
USD/CHFAUD/USD
141514
3.2Theorderflowreturnsrelationship
returns. our tradingsessionandtests 4Furtherevidenceonorderflow
unclear flows. inordertoaddresstheselimitations. 141515
4.1Datafromasinglemarketmaker
EuropeanͲbasedorderflowͲ0.85Ͳ0.30 Ͳ0.04 Ͳ0.28 US Ͳbasedorderflow0.01 Ͳ0.20*0.03 Ͳ0.06 0.02Average
aggregate orderflowoverwholetradingday not 161716
Cornettetal(1995).
checktwopropositions1) IsitthecasethatUSinvestorstendtobenetpurchasersofforeignequityandviceversa,asour
Paribasdatasuggest?
2) AretheintraͲdaypatternswehaveidentifiedcorrelatedwithmeasuredflowsatthemacro
viceversaforflowsintotheUS)?Table5:Evidence
fromUScrossͲborderequityflowdataEUR/USDUSD/JPYGBP/USDUSD/CHFAUD/USD
(%ofholdings,AR)6.0%1.9%14.3%3.1%2.1%AveragenetpurchasesofforeignequitybyUS(%
ofholdings,AR)0.1%6.3%4.2%0.3%3.4%0.040.110.100.09
purchases0.18*0.06 Ͳ0.030.070.18*Average
161717 equity purchasesthatmonth. outflowsarelarge.
5Conclusion
portfoliomanagement 181918
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207.markets:
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181919 ofBanking&Finance33,2199Ͳ2206.
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