The Offshore Renminbi Exchange Rate: Microstructure and ... · Introduction International use of...

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The Offshore Renminbi Exchange Rate: Microstructure and Links to the Onshore Market* Yin-Wong Cheung & Dagfinn Rime Prepared for the CAFIN Workshop University of California, Santa Cruz April 25-26, 2014

Transcript of The Offshore Renminbi Exchange Rate: Microstructure and ... · Introduction International use of...

Page 1: The Offshore Renminbi Exchange Rate: Microstructure and ... · Introduction International use of the RMB 9th most actively traded (2013; 17th, 2010) 2nd most used in traditional trade

The Offshore Renminbi Exchange Rate: Microstructure and Links to the Onshore Market*

Yin-Wong Cheung & Dagfinn Rime

Prepared for the CAFIN Workshop University of California, Santa Cruz April 25-26, 2014

Page 2: The Offshore Renminbi Exchange Rate: Microstructure and ... · Introduction International use of the RMB 9th most actively traded (2013; 17th, 2010) 2nd most used in traditional trade

Introduction

International use of the RMB

9th most actively traded (2013; 17th, 2010) 2nd most used in traditional trade finance (October 2013) 12th payments currency of the world (October 2013)

Offshore markets: 0.398 B. (2007) to 3.903 B. (2013) One currency, two exchange rates RMB; CNY, CNH CNY: Onshore

Trading band around daily fixing Managed

CNH (2010): Offshore “Market” determined No intervention

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The current study Microstructure determinants of CNH Interactions between CNH and CNY Effects of fixings on CNH and CNY Forecast performance of CNH and CNY Data Reuters trading system (“D2000-2”); tick-by-tick Interbank trading

Signed transactions Difference of limit bid and offer orders

Normalized daily variables (00:00-18:00 GMT)

September 27, 2010 to August 27, 2013

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Upward crawl vs the US$ Variance(CNH) > Variance(CNY) > Variance(Fixing) Variance(CNY) ↑ CNH ~ CNY; exceptions

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Move in “tandem”

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Empirical Analysis

CNH and Microstructure Variables

Ht: CNH return Xt: order flow Ft: 3-mth interest differential volat: EM currency Volatility index LOIm: limit-order imbalance

(1) (2) (3) (4) Constant -.013 -.013 -.008 -.007

(-1.98) (-2.08) (-1.37) (-1.30) Ft .039 .018 -.019 -.02

(1.38) (.65) (-.78) (-.82) Ht-1 -.085 -.114 -.123 -.123

(-.76) (-1.08) (-.95) (-.94) volat 2.196 2.244 2.205

(3.94) (4.22) (4.15) Xt .095 .092

(5.55) (5.45) LOIm .006

(2.11)

Adj. R2 .01 .08 .20 .21

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The VECM of (Ht, Xt, F t)

Ht Xt Ft

ECt-1 -.0264 1.5538 -2.0404(-3.07) ( .74) (-2.46)

Ht-1 -.0986 -5.5316 -4.1240(-2.65) (-.61) (-1.15)

Xt-1 .0004 .0011 .0137 ( 2.74) ( .03) ( .92)

Ft-1 -.0005 .0864 -.2936 (-1.46) ( 1.00) (-8.58)

C -.0001 -.0143 .0021 (-1.93) (-.91) ( .34)

Adj. R2 .0283 -.0026 .1006

ECt-1: Ht -.0012 Xt +.0108 Ft

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The CNH VECM (Ht, Xt, Ft) + augmented variables

(1) (2) (3) (4) (5) Constant -.0001 -.0001 -.0001 -0.0001 -0.0001

(-1.96) (-2.08) (-1.16) (-1.24) (-1.01)ECt-1 -.0264 -.0187 -.0080 -0.0073 -0.0093

(-3.07) (-2.24) (-1.06) (-0.98) (-1.31)Ht-1 -.0986 -.1215 -.1141 -0.1590 -0.1405

(-2.65) (-3.37) (-2.96) (-3.97) (-3.67)Xt-1 .0004 .0003 .0002 0.0003 0.0003

( 2.74) ( 2.02) ( 1.85) (2.19) (2.27)Ft-1 -.0005 -.0005 -.0003 -0.0005 -0.0007

(-1.46) (-1.51) (-1.07) (-1.41) (-2.26)volat .0207 .0219 0.0227 0.0208

( 7.60) ( 9.00) (9.07) (8.69)LOIm t-1 .0001 0.0000 0.0000

( 1.76) (0.93) (1.22)LOIm 0.0001 0.0000

(2.90) (1.64)Xt 0.0010

(7.90) Adj. R2 .03 .10 .12 0.15 0.23

ECt-1: Ht -.0012 Xt +.0108 Ft

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Offshore and Onshore Interactions

The VECM of (Yt, Ht)

Yt Ht

ECt-1 .001416 .065539 ( .15) ( 4.21)

Yt-1 -.14084 .049671 (-3.47) ( .73)

Yt-2 -.01664 .121189 (-.41185) ( 1.79200)

Ht-1 .022432 -.08021 ( .93) (-1.98)

Ht-2 .039698 -.08132 ( 1.66) (-2.03)

Constant -.00013 -.00012 (-3.29) (-1.80)

Adj. R2 .013 .037 ECt-1: (Yt-1 - 1.0735Ht-1)

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The VECM(Yt, Ht) + augmented variables (1) (2) (3) (4) (5) Yt Ht Yt Ht Yt Ht Yt Ht Yt Ht

Constant -.0001 -.0001 -.0001 -.0001 -.0001 -.0001 -.0001 -.0001 -0.0001 0.0000(-3.29) (-1.80) (-3.41) (-1.92) (-3.41) (-1.92) (-3.42) (-1.92) (-2.59) (-0.70)

ECt-1 .0014 .0655 -.0036 .0543 -.0032 .0547 -.0031 .0545 0.0025 0.0696( .15) ( 4.21) (-.39) ( 3.61) (-.35) ( 3.63) (-.34) ( 3.62) (0.26) (4.86)

Yt-1 -.1408 .0497 -.1256 .0839 -.1240 .0857 -.1216 .0749 -0.0556 -0.0419(-3.47) ( .73) (-3.15) ( 1.28) (-3.10) ( 1.31) (-3.03) ( 1.14) (-1.25) (-0.65)

Yt-2 -.0166 .1212 -.0191 .1143 -.0198 .1134 -.0194 .1117 -0.0239 0.1187(-.41) ( 1.79) (-.48) ( 1.75) (-.50) ( 1.74) (-.49) ( 1.72) (-0.53) (1.83)

Ht-1 .0224 -.0802 .0043 -.1208 .0054 -.1196 .0083 -.1325 -0.0009 -0.1043( .92) (-1.98) ( .18) (-3.06) ( .22) (-3.03) ( .34) (-3.31) (-0.03) (-2.40)

Ht-2 .0397 -.0813 .0371 -.0856 .0378 -.0847 .0378 -.0847 0.0423 -0.0417( 1.66) (-2.03) ( 1.57) (-2.21) ( 1.60) (-2.19) ( 1.60) (-2.19) (1.48) (-1.01)

volat .0091 .0213 .0090 .0211 .0091 .0206 0.0077 0.0202( 5.58) ( 7.93) ( 5.49) ( 7.85) ( 5.53) ( 7.63) (4.68) (8.53)

Ft .0002 .0002 .0002 .0002 0.0001 -0.0001( .99) ( .68) ( 1.01) ( .64) (0.46) (-0.42)

Xt-1 -.0001 .0003 0.0000 0.0003(-.65) ( 1.77) (-0.19) (2.44)

Xt 0.0003 0.0010(3.87) (8.04)

Adj. R2 .01 .04 .05 .11 .05 .11 .05 .11 0.06 0.25

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(6) (7) (8) (9) (10) Yt Ht Yt Ht Yt Ht Yt Ht Yt Ht

Constant -.0001 .0000 -.0001 .0000 -.0001 .0000 .0000 .0003 .0000 .0001 (-2.60) (-.71) (-2.57) (-.66) (-1.42) (.25) (-.10) (5.54) (.00) (2.31)ECt-1 .0026 .0718 .0029 .0726 -.0006 .0682 .0248 .2484 .0158 .1102 (.26) (5.00) (.29) (5.07) (-.07) (4.36) (1.65) (10.99) (1.47) (6.32)Yt-1 -.0576 -.0487 -.0593 -.0531 -.0890 -.0737 -.0985 -.1416 -.1020 -.1068 (-1.28) (-.75) (-1.32) (-.82) (-2.16) (-1.10) (-2.39) (-2.28) (-2.49) (-1.62)Yt-2 -.0229 .1180 -.0210 .1230 -.0084 .1598 -.0199 .0785 -.0206 .1287 (-.51) (1.81) (-.47) (1.89) (-.20) (2.36) (-.48) (1.26) (-.50) (1.94)Ht-1 -.0002 -.1068 .0000 -.1064 -.0238 -.1312 -.0170 -.0832 -.0173 -.1146 (-.01) (-2.44) (-.00) (-2.44) (-.85) (-2.86) (-.60) (-1.96) (-.62) (-2.54)Ht-2 .0419 -.0435 .0413 -.0450 .0493 -.0510 .0535 -.0216 .0525 -.0430 (1.46) (-1.05) (1.44) (-1.09) (1.86) (-1.17) (2.01) (-.54) (1.99) (-1.01)volat .0076 .0204 .0075 .0200 .0012 .0142 .0010 .0134 .0013 .0146 (4.67) (8.59) (4.57) (8.43) (.76) (5.65) (.68) (5.78) (.85) (5.91)Ft .0001 -.0001 .0001 -.0001 .0001 -.0002 .0001 -.0001 .0001 -.0002 (.49) (-.33) (.46) (-.37) (.45) (-.51) (.47) (-.47) (.47) (-.49)Xt-1 -.0000 .000284 .0000 .0003 -.0001 .0003 -.0001 .0003 -.0001 .0003 (-.24) (2.05) (-.19) (2.15) (-1.50) (2.13) (-1.59) (1.92) (-1.50) (2.19)Xt .0003 .0010 .0003 .0010 .0004 .0010 .0003 .0009 .0004 .0010

(3.86) (8.05) (3.62) (7.61) (4.32) (7.53) (4.07) (7.00) (4.25) (7.52)LOIm(-1) .0000 .0001 .0000 .0000 .0000 .0000 .0000 .0000 .0000 .0000

(.15) (1.85) (-.02) (1.52) (-.49) (1.08) (-.46) (1.34) (-.33) (1.37)LOIm .0000 .0001 .0000 .0001 .0000 .0001 .0000 .0001

(1.13) (2.04) (1.75) (2.24) (1.71) (2.22) (1.79) (2.32)Pt .5707 .4197 .5707 .4199 .5671 .4105

(13.28) (5.97) (13.32) (6.51) (13.30) (5.96)Pt -Ht-1 -.0170 -.1206

(-2.19) (-10.32) Pt -Yt-1 -.0230 -.0585

(-3.19) (-5.04)Adj. R2 .06 .25 .06 .26 .28 .28 .29 .39 .29 .31

Pt: central parity rate

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Additional Analyses

Time-Varying Relationship

VECM(Yt, Ht) for different subsamples 09/30/2010 – 09/21/2011 09/22/2011 – 04/13/2012 04/14/2012 – 08/27/2013 ΔYt ΔHt ΔYt ΔHt ΔYt ΔHt

ECt-1 0.0040 0.069 -0.0939 0.3083 0.0100 0.1464 (0.30) (2.98) (-1.60) (2.95) (0.31) (3.71)

ΔYt-1 -0.1403 0.3250 -0.1295 -0.5949 -0.1448 0.1350 (-2.03) (2.70) (-1.36) (-3.50) (-2.08) (1.61)

ΔYt-2 -0.0407 0.0389 0.0078 0.16067 0.0245 0.0776 (-0.58) (0.32) (0.08) (0.92) (0.37) (0.96)

ΔHt-1 0.0363 -0.0743 -0.0535 0.0197 0.1555 -0.0534 (0.92) (-1.08) (-1.05) (0.22) (2.81) (-0.80)

ΔHt-2 0.0395 -0.0649 0.0490 -0.0574 -0.0677 -0.1813 (1.03) (-0.97) (0.97) (-0.63) (-1.26) (-2.80)

Constant -0.0002 -0.0001 -0.0001 -0.0001 -0.0001 -0.0001 (-2.63) (-1.05) (-0.88) (-0.66) (-2.03) (-1.72)

Adj. R2 -0.00 0.06 0.05 0.13 0.02 0.07

Granger causality test; p-values 09/30/2010 – 09/21/2011 09/22/2011 – 04/13/2012 04/14/2012 – 08/27/2013ΔH ≠› ΔY 0.439 0.315 0.002 ΔY ≠› ΔH 0.026 0.001 0.242

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Rolling Estimates (moving window of 200 observations)

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Forecasting Performance

Pt = + βWt-1 + t; Pt: central parity rate

ΔHt-1 ΔYt-1 ΔXt-1 RW RMSE 0.541 0.547 0.538 0.546

(0.84) (-0.27) (2.54) MAE 0.415 0.427 0.418 0.427 (2.56) (0.09) (2.77)

The trading band effect (?)

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Pt = + β1Ht-1 + β2Xt-1 + t

Full sample: both significant

Rolling samples (moving window of 200 observations)

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Concluding Remarks

Microstructure variables

CNH CNY Official central parity rate

CNH-CNY Long term and short term interactions Time varying CNH effect stronger over time Predicting the official central parity rate

CNH Order flow

Informational role of the offshore market