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[PDF] Intraday patterns in FX returns and order flow

Keywords: Foreign Exchange Microstructure Order Flow Liquidity As an OTC market that trades across several time zones the foreign exchange market 

  • 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.

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ISSN 1660-7716 (printed version)

ISSN 1660-7724 (online version)

1

IntradaypatternsinFXreturns

andorderflow

FrancisBreedonandAngeloRanaldo

November2010

ABSTRACT

foreign flow and tocorroboratethat interpretation.

JELͲkeys:G15

NicholasBrownof

23
2

1.Introduction

1 andreturns.As our evidence index (cf.,forexample,Rogoff

Rimeetal(2010).

1 Order 23
3 2

Ranaldo(2009)usesindicativequotesfromthe

2 45
4 interdealer allowing

EberlyandPanageas(2009).

2DataandtimeͲofͲdayeffects

2.1Data

45
5 turnover(whereReutersdominates). 3 For 4 .Forthe hour

2.2TimeofDayeffects

Cornett

effect. 3 consideredandtheresultsremainunchanged. 4 67
6

Table1:EstimatedtradinghoursinFXmarkets

(standard/daylightsaving)Futuresmarkets

Japan8.00Ͳ15.00+13/+14hoursTIF(noFX)

calculations significant parametricsigntestofreturns.

1) Simpletestofsignificantexcessreturns.WeconducttwoͲsampletͲtestsfortheacceptanceofthe

67
7 5

2) Excessreturnsallowingforheteroscedasticityandautocorrelation.Adrawbackofasimpletestof

performedGARCHregressionsasfollows: 24
11 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 heteroscedasticity

3) Signtest.AsasimplenonͲparametrictestofthepropertiesofhourlyreturnswealsoassessthe

5 89
8 resultsavailablefromtheauthors). 89
9 pair

TradingsessionMidͲquote

returnMidͲquote returnGARCHSharepositiveTradingreturn EUR/USDEURsession Ͳ0.084**Ͳ0.095**0.44**0.06

USDsession0.100**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**Ͳ0.12

USDsession0.092**0.126**0.55**Ͳ0.08

USDsession Ͳ0.088**Ͳ0.105**0.48Ͳ0.02

AUD/USDAUDsession Ͳ0.028**Ͳ0.038*0.50Ͳ0.51

USDsession0.016**0.0230.52**Ͳ0.50

Starting

1011
10 afternoonlong.This 6 sincewewishtominimisethe possibilityofdataͲminingbiases.

2.3Stabilitythroughtime

6 day (see

Ranaldo(2009)forfurtheranalysis).

1011
11

1999 2000 2001 2002 2003 2004 2005 2006 2007

EURsession

USDsession

Average

standardtͲtest.

3Timeofdayeffectsandorderflow

3.1TimeofdayeffectsinFXorderflow

1213
12

TimeperiodOrderflowOrderflow

GARCHSharepositiveResidualreturns

EUR/USDEURsession Ͳ2.190**Ͳ1.415**0.457**0.0098

USDsession2.284**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** Ͳ0.0001

USDsession0.132**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 1213
13

EUR/USDUSD/JPY

EUR/JPYGBP/USD

USD/CHFAUD/USD

1415
14

3.2Theorderflowreturnsrelationship

returns. our tradingsessionandtests 4

Furtherevidenceonorderflow

unclear flows. inordertoaddresstheselimitations. 1415
15

4.1Datafromasinglemarketmaker

EuropeanͲbasedorderflowͲ0.85Ͳ0.30 Ͳ0.04 Ͳ0.28 US Ͳbasedorderflow0.01 Ͳ0.20*0.03 Ͳ0.06 0.02

Average

aggregate orderflowoverwholetradingday not 1617
16

Cornettetal(1995).

checktwopropositions

1) IsitthecasethatUSinvestorstendtobenetpurchasersofforeignequityandviceversa,asour

Paribasdatasuggest?

2) AretheintraͲdaypatternswehaveidentifiedcorrelatedwithmeasuredflowsatthemacro

viceversaforflowsintotheUS)?

Table5:Evidence

fromUScrossͲborderequityflowdata

EUR/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

1617
17 equity purchasesthatmonth. outflowsarelarge.

5Conclusion

portfoliomanagement 1819
18

References

265.
rates"ReviewofEconomicStudies58,565-585.

Chinn,

EvidencefromaNovelDataSet",NBERWP14175.

Froot,

investor flows",JournalofFinance60,1535Ͳ1566.

JournalofFinancialEconomics16.99Ͳ117.

207.
markets:

Economics20,637Ͳ664.

1819
19 ofBanking&Finance33,2199Ͳ2206.

FederalReserveSystem(U.S.).

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