European Government Bond Dynamics (21.4.2017)

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European Government Bond Dynamics during the Euro Crisis Peter Schwendner Zurich University of Applied Sciences [email protected] Martin Schüle [email protected] Thomas Ott [email protected] Martin Hillebrand European Stability Mechanism [email protected] Disclaimer: The views expressed in this presentation are those of the authors, and do not necessarily reflect those of the European Stability Mechanism. MathFinance Conference 2017 Frankfurt am Main 21.4.2017

Transcript of European Government Bond Dynamics (21.4.2017)

Page 1: European Government Bond Dynamics (21.4.2017)

European Government Bond

Dynamics during the Euro Crisis

Peter Schwendner

Zurich University of Applied Sciences

[email protected]

Martin Schüle

[email protected]

Thomas Ott

[email protected]

Martin Hillebrand

European Stability Mechanism

[email protected]

Disclaimer: The views expressed in this presentation are those of the authors,

and do not necessarily reflect those of the European Stability Mechanism.

MathFinance Conference 2017

Frankfurt am Main

21.4.2017

Page 2: European Government Bond Dynamics (21.4.2017)

From a Euro area governance perspective:

How homogeneous/diverse is the market? Are there clusters, blocks?

In the context of the euro crisis, does the market fear contagion risks?

From a public funding perspective:

What is the market risk of sovereign bonds in comparison to other Euro area countries?

EFSF/ESM issued bonds at the private capital market to fund the rescue programmes. How are these bonds trading in

the secondary market? Is the EFSF/ESM bond yield rather driven by asset quality or guarantee structure?

From an investor perspective:

What does the market currently assume?

Which future uncertain events are priced into bond yields and their correlations?

Which events would be «tail events»?

The euro area sovereign bond market as a whole needs attention

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Generic 10yr bonds

12 issuers: EFSF and 11 euro area sovereigns

Case Study: Euro area crisis

Greek 2015

elections

announced

Year

Convergence before

EUR introduction

Financial crisis becomes

Euro area debt crisis.

Yield volatilities spike up,

yield levels diverge.

ECB measures and

EFSF/ESM setup

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High yield levels usually come together with high yield volatilities

Absolute yield levels contain Credit spread, Liquidity premium, Duration risk premium.

High correlations indicate that investors and dealers regard markets as similar.

Correlations give an indication how much a cross-hedge can reduce market (duration) risk.

Yield correlations are essential for a bond portfolio hedge

daily bond returns ~ ( - Duration) × [yield(t)-yield(t-1)]

+ yield(t-1) × dt

Bond Carry

Duration Risk

Issuer

Current 10Yr

Yields

10Y Yields Vol

1Y window

EFSF 0.71 0.50

DE 0.38 0.55

FI 0.49 0.55

NL 0.63 0.55

AT 0.59 0.57

FR 0.95 0.61

BE 0.85 0.62

IE 1.00 0.67

ES 1.66 0.73

IT 2.15 0.81

PT 4.04 1.13

EL 7.12 2.35

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Annual correlations of daily bond yield changes 2004 - 2009

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Annual correlations of daily bond yield changes 2010-2015

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We aim to discuss yield dynamics as close to the market as possible

Therefore, we use a model free approach, based on correlations

The Pearson Correlation coefficient is defined as:

Where Xi and Yi denote the yield return time series of two bonds with n returns

Problem with correlations:

They are unstable

Hidden factors lead to spurious correlations

Yield return correlations

high

motivation

marks at

school

real life

success

?

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Method overview: from time series to networks

EF

SF

DE FI

NL

AT

FR

BE IE ES IT PT

GR

01-Jan-2010 -31-Dec-2010

EFSFDE FI

NL AT FR BE IE

ES IT

PT GR

EF

SF

DE FI

NL

AT

FR

BE IE ES IT PT

GR

03-Jan-2011 -30-Dec-2011

EFSFDE FI

NL AT FR BE IE

ES IT

PT GR

EF

SF

DE FI

NL

AT

FR

BE IE ES IT PT

GR

02-Jan-2012 -31-Dec-2012

EFSFDE FI

NL AT FR BE IE

ES IT

PT GR

EF

SF

DE FI

NL

AT

FR

BE IE ES IT PT

GR

01-Jan-2013 -31-Dec-2013

EFSFDE FI

NL AT FR BE IE

ES IT

PT GR

EF

SF

DE FI

NL

AT

FR

BE IE ES IT PT

GR

01-Jan-2014 -31-Dec-2014

EFSFDE FI

NL AT FR BE IE

ES IT

PT GR

EF

SF

DE FI

NL

AT

FR

BE IE ES IT PT

GR

01-Jan-2015 -28-Aug-2015

EFSFDE FI

NL AT FR BE IE

ES IT

PT GR

Bond yield time series

Correlation matrix

Bootstrap filter Filtered influence network

1990 1995 2000 2005 2010 20150

5

10

15

20

25

30

35

40

EFSF

DE

FI

NL

AT

FR

BE

IE

ES

IT

PT

GR

-0.5 -0.4 -0.3 -0.2 -0.1 0 0.1 0.20

200

400

600

800

1000

1200

1400

1600

Correlation influence

EF

SF

DE FI

NL

AT

FR

BE IE ES IT PT

GR

03-Jan-2011 -30-Dec-2011

EFSFDE FI

NL AT FR BE IE

ES IT

PT GR

EF

SF

DE FI

NL

AT

FR

BE IE ES IT PT

GR

02-Jan-2012 -31-Dec-2012

EFSFDE FI

NL AT FR BE IE

ES IT

PT GR

EF

SF

DE FI

NL

AT

FR

BE IE ES IT PT

GR

01-Jan-2013 -31-Dec-2013

EFSFDE FI

NL AT FR BE IE

ES IT

PT GR

EF

SF

DE FI

NL

AT

FR

BE IE ES IT PT

GR

01-Jan-2014 -31-Dec-2014

EFSFDE FI

NL AT FR BE IE

ES IT

PT GR

EF

SF

DE FI

NL

AT

FR

BE IE ES IT PT

GR

01-Jan-2015 -28-Aug-2015

EFSFDE FI

NL AT FR BE IE

ES IT

PT GR

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The partial correlation measure is defined as

The partial correlation is the correlation between the residual resulting from the linear regression from X with Z

and Y with Z.

Partial correlation

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Small absolute value would mean „Z

strongly affects correlations between X and

Y“

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Source: Kenett DY, Tumminello M, Madi A, Gur-Gershgoren G, Mantegna RN, Ben-Jacob E (2010) Dominating Clasp

of the Financial Sector Revealed by Partial Correlation Analysis of the Stock Market. PLoS ONE 5(12): e15032

The correlation influence is defined as

The average correlation influence is defined as

Partial correlation influence

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„How much of the correlation between X

and Y is explained by their correlations to

Z?“

„How much does Z explain correlations

between X and all other markets?“

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The noise in the correlation influence estimator depends heavily on the specific pair:

DE->FR is very stable, but DE->GR is very volatile. We need a filtering concept.

We bootstrap average influences

We draw n times a sample (with replacement) from the data, using data blocks of length 1-10 days

For each sample, we calc the average influence matrix and the stddev across the samples

These standard deviations act as „blur“ indicator of the average influences

Constructing Filtered Partial Correlation Networks

abs(mean) > 3 * stddev => correlation influence is «significant»

-0.5 -0.4 -0.3 -0.2 -0.1 0 0.1 0.20

200

400

600

800

1000

1200

1400

1600

Histogram of corr influence bootstrap

Finland -> Greece in 2015

stddev of the bootstrap samples

Correlation influence

fre

qu

en

cy

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Partial correlation networks of daily bond yield changes 2004 - 2009

2004. 2005 2006

2007 2008 2009

Blue arrows:

dominating positive

correlations =>

reinforcing movements

Red arrows: dominating

negative correlations =>

diverging movements

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Partial correlation networks of daily bond yield changes 2010 - 2015

Blue arrows:

dominating positive

correlations =>

reinforcing movements

Red arrows: dominating

negative correlations =>

diverging movements

2010. 2011 2012

2013 2014 2015

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Question:

Did the market imply contagion risk to other Euro area

countries beyond Greece?

Case Study: Negotiations of third Greek Programme

Q4-14 Q1-15 Q2-15 Q3-150

2

4

6

8

10

12

14

16

18

20

EFSF

DE

FI

NL

AT

FR

BE

IE

ES

IT

PT

GR

Timespan 10/2014 – 9/2015

10

Y B

on

d Y

ield

s in

%

Reuters, 19 April 2015:

“Greece's Varoufakis warns of

Grexit contagion”

Reuters, 27 June 2015:

“Euro zone prepared to guard

against Greek risks –

Dijsselbloem”

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EF

SF

DE FI

NL

AT

FR

BE IE ES IT PT

GR

19-Jan-2015 08:00:00 -23-Jan-2015 17:00:00

EFSF

DE

FI

NL

AT

FR

BE

IE

ES

IT

PT

GR

EF

SF

DE FI

NL

AT

FR

BE IE ES IT PT

GR

26-Jan-2015 07:00:00 -30-Jan-2015 17:00:00

EFSF

DE

FI

NL

AT

FR

BE

IE

ES

IT

PT

GR

EF

SF

DE FI

NL

AT

FR

BE IE ES IT PT

GR

02-Feb-2015 08:00:00 -06-Feb-2015 17:00:00

EFSF

DE

FI

NL

AT

FR

BE

IE

ES

IT

PT

GR

EF

SF

DE FI

NL

AT

FR

BE IE ES IT PT

GR

09-Feb-2015 08:00:00 -13-Feb-2015 17:00:00

EFSF

DE

FI

NL

AT

FR

BE

IE

ES

IT

PT

GR

EF

SF

DE FI

NL

AT

FR

BE IE ES IT PT

GR

16-Feb-2015 07:00:00 -20-Feb-2015 17:00:00

EFSF

DE

FI

NL

AT

FR

BE

IE

ES

IT

PT

GR

EF

SF

DE FI

NL

AT

FR

BE IE ES IT PT

GR

23-Feb-2015 07:00:00 -27-Feb-2015 17:00:00

EFSF

DE

FI

NL

AT

FR

BE

IE

ES

IT

PT

GR

Weekly correlations of hourly bond yield changes Jan – Feb 2015

EF

SF

DE FI

NL

AT

FR

BE IE ES IT PT

GR

19-Jan-2015 08:00:00 -23-Jan-2015 17:00:00

EFSF

DE

FI

NL

AT

FR

BE

IE

ES

IT

PT

GR

EF

SF

DE FI

NL

AT

FR

BE IE ES IT PT

GR

26-Jan-2015 07:00:00 -30-Jan-2015 17:00:00

EFSF

DE

FI

NL

AT

FR

BE

IE

ES

IT

PT

GR

EF

SF

DE FI

NL

AT

FR

BE IE ES IT PT

GR

02-Feb-2015 08:00:00 -06-Feb-2015 17:00:00

EFSF

DE

FI

NL

AT

FR

BE

IE

ES

IT

PT

GR

EF

SF

DE FI

NL

AT

FR

BE IE ES IT PT

GR

09-Feb-2015 08:00:00 -13-Feb-2015 17:00:00

EFSF

DE

FI

NL

AT

FR

BE

IE

ES

IT

PT

GR

EF

SF

DE FI

NL

AT

FR

BE IE ES IT PT

GR

16-Feb-2015 07:00:00 -20-Feb-2015 17:00:00

EFSF

DE

FI

NL

AT

FR

BE

IE

ES

IT

PT

GR

EF

SF

DE FI

NL

AT

FR

BE IE ES IT PT

GR

23-Feb-2015 07:00:00 -27-Feb-2015 17:00:00

EFSF

DE

FI

NL

AT

FR

BE

IE

ES

IT

PT

GR -0.6

-0.4

-0.2

0

0.2

0.4

0.6

0.8

1

Correlations in

weekly intervals,

using hourly yields

14

19.1.-23.1. 26.1.-30.1. 2.2.-6.2.

9.2.-13.2. 16.2.-20.2. 23.2.-27.2.

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Partial correlation networks of daily bond yield changes Jan – Feb 2015

After Syriza won Before Greek elections

19.1.-23.1. 26.1.-30.1. 2.2.-6.2.

9.2.-13.2. 16.2.-20.2. 23.2.-27.2.

Tsipras’ tour across Europe

Nervousness before Eurogroup

Brussels Tsipras confirms election

promises

Blue arrows: dominating

positive correlations =>

reinforcing movements

Red arrows: dominating

negative correlations =>

diverging movements

Greece commits to programme extension;

«Troika» become «Institutions»

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EF

SF

DE FI

NL

AT

FR

BE IE ES IT PT

GR

08-Jun-2015 08:00:00 -12-Jun-2015 17:00:00

EFSF

DE

FI

NL

AT

FR

BE

IE

ES

IT

PT

GR

EF

SF

DE FI

NL

AT

FR

BE IE ES IT PT

GR

15-Jun-2015 07:00:00 -19-Jun-2015 17:00:00

EFSF

DE

FI

NL

AT

FR

BE

IE

ES

IT

PT

GR

EF

SF

DE FI

NL

AT

FR

BE IE ES IT PT

GR

22-Jun-2015 08:00:00 -26-Jun-2015 17:00:00

EFSF

DE

FI

NL

AT

FR

BE

IE

ES

IT

PT

GR

EF

SF

DE FI

NL

AT

FR

BE IE ES IT PT

GR

29-Jun-2015 08:00:00 -03-Jul-2015 17:00:00

EFSF

DE

FI

NL

AT

FR

BE

IE

ES

IT

PT

GR

EF

SF

DE FI

NL

AT

FR

BE IE ES IT PT

GR

06-Jul-2015 08:00:00 -10-Jul-2015 17:00:00

EFSF

DE

FI

NL

AT

FR

BE

IE

ES

IT

PT

GR

EF

SF

DE FI

NL

AT

FR

BE IE ES IT PT

GR

13-Jul-2015 07:00:00 -17-Jul-2015 17:00:00

EFSF

DE

FI

NL

AT

FR

BE

IE

ES

IT

PT

GR

Weekly correlations of hourly bond yield changes Jun - Jul 2015

Correlations in

weekly intervals,

using hourly yields

EF

SF

DE FI

NL

AT

FR

BE IE ES IT PT

GR

19-Jan-2015 08:00:00 -23-Jan-2015 17:00:00

EFSF

DE

FI

NL

AT

FR

BE

IE

ES

IT

PT

GR

EF

SF

DE FI

NL

AT

FR

BE IE ES IT PT

GR

26-Jan-2015 07:00:00 -30-Jan-2015 17:00:00

EFSF

DE

FI

NL

AT

FR

BE

IE

ES

IT

PT

GR

EF

SF

DE FI

NL

AT

FR

BE IE ES IT PT

GR

02-Feb-2015 08:00:00 -06-Feb-2015 17:00:00

EFSF

DE

FI

NL

AT

FR

BE

IE

ES

IT

PT

GR

EF

SF

DE FI

NL

AT

FR

BE IE ES IT PT

GR

09-Feb-2015 08:00:00 -13-Feb-2015 17:00:00

EFSF

DE

FI

NL

AT

FR

BE

IE

ES

IT

PT

GR

EF

SF

DE FI

NL

AT

FR

BE IE ES IT PT

GR

16-Feb-2015 07:00:00 -20-Feb-2015 17:00:00

EFSF

DE

FI

NL

AT

FR

BE

IE

ES

IT

PT

GR

EF

SF

DE FI

NL

AT

FR

BE IE ES IT PT

GR

23-Feb-2015 07:00:00 -27-Feb-2015 17:00:00

EFSF

DE

FI

NL

AT

FR

BE

IE

ES

IT

PT

GR -0.6

-0.4

-0.2

0

0.2

0.4

0.6

0.8

1

16

8.6.-12.6. 15.6.-19.6. 22.6.-26.6.

29.6.-3.7. 6.7.-10.7. 13.7.-17.7.

Page 18: European Government Bond Dynamics (21.4.2017)

Partial correlation networks of daily bond yield changes Jun - Jul 2015

Ongoing negotiations Blue arrows: dominating

positive correlations =>

reinforcing movements

Red arrows: dominating

negative correlations =>

diverging movements

Tsipras meets Putin

8.6.-12.6. 15.6.-19.6. 22.6.-26.6.

29.6.-3.7. 6.7.-10.7. 13.7.-17.7.

Greece commits to third programme

Many Eurogroup

meetings without results

Referendum announced.

ECB does not raise ELA.

Capital controls.

Referendum against

programme,

ECB still does not raise ELA

limit

Ongoing negotiations

17

Page 19: European Government Bond Dynamics (21.4.2017)

Question: Did the unexpected Brexit decision foster

fears about a further dissolution of Europe?

Case study: Brexit Referendum, June 2016

UK and Switzerland are included into the analysis

Brexit

Referendum

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Page 20: European Government Bond Dynamics (21.4.2017)

Case study: Brexit Referendum, June 2016

EF

SF

DE FI

NL

AT

FR

BE IE ES IT PT

GR

19-Jan-2015 08:00:00 -23-Jan-2015 17:00:00

EFSF

DE

FI

NL

AT

FR

BE

IE

ES

IT

PT

GR

EF

SF

DE FI

NL

AT

FR

BE IE ES IT PT

GR

26-Jan-2015 07:00:00 -30-Jan-2015 17:00:00

EFSF

DE

FI

NL

AT

FR

BE

IE

ES

IT

PT

GR

EF

SF

DE FI

NL

AT

FR

BE IE ES IT PT

GR

02-Feb-2015 08:00:00 -06-Feb-2015 17:00:00

EFSF

DE

FI

NL

AT

FR

BE

IE

ES

IT

PT

GR

EF

SF

DE FI

NL

AT

FR

BE IE ES IT PT

GR

09-Feb-2015 08:00:00 -13-Feb-2015 17:00:00

EFSF

DE

FI

NL

AT

FR

BE

IE

ES

IT

PT

GR

EF

SF

DE FI

NL

AT

FR

BE IE ES IT PT

GR

16-Feb-2015 07:00:00 -20-Feb-2015 17:00:00

EFSF

DE

FI

NL

AT

FR

BE

IE

ES

IT

PT

GR

EF

SF

DE FI

NL

AT

FR

BE IE ES IT PT

GR

23-Feb-2015 07:00:00 -27-Feb-2015 17:00:00

EFSF

DE

FI

NL

AT

FR

BE

IE

ES

IT

PT

GR -0.6

-0.4

-0.2

0

0.2

0.4

0.6

0.8

1

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Case study: Brexit Referendum, June 2016

Blue arrows: dominating

positive correlations =>

reinforcing movements

Red arrows: dominating

negative correlations =>

diverging movements

Source: https://www.fnalab.com/data/firamis/charts/public/ContagionRiskMonitor_weekly.html

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23.5.-27.5. 30.5.-3.6. 6.6.-10.6.

13.6.-17.6. 20.6.-24.6. 27.6.-1.7.

Page 22: European Government Bond Dynamics (21.4.2017)

Questions:

What risks are priced into the European sovereign bond

market?

How do the French bonds move relative to «core

European» and «peripheral» bonds?

Case study: French presidential elections, 2017

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French bond spread reflects political risk

0

5

10

15

20

25

30

35

40

0

0.1

0.2

0.3

0.4

0.5

0.6

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0.8

0.9

%ch

ance

of

Le P

en

win

nin

g se

cou

nd

ro

un

d

spre

ad F

R -

DE

FR Spread (left)

Oddschecker Le Pen odds

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What happened since 2016?

GR

PT

ES

IT

«Core

Europe»

2017 2016

Irish bonds improved, Portuguese and Italian bonds slid.

IE

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How is France positioned in Europe?

Bond market separation into core and periphery becomes

less and less pronounced, with the exception of Greece. 24

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Dendrograms with hourly bond yield changes - 2016

In 2016, the «European core» was still a quite pronounced

pattern in bond correlations. 25

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Dendrograms with hourly bond yield changes - 2017

In 2017, France is more correlated to Belgium and Ireland than to the

northern group of countries, but far away from the periphery. 26

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In periods of financial and political distress like 2012, the market fears contagion risk,

leading to shearing forces between a core and a periphery bloc.

Market trusts the guarantee structure of EFSF: market treats EFSF as a „core“ issuer.

Market believes in stability framework: reattachment of periphery to core since 2013,

Greece a special case.

The Brexit referendum has caused only very short-term turbulences on the bond market,

without triggering a „domino effect“.

The French bond spread moves along with the probability of a le Pen victory in the second

round, an event which would weaken the countries‘ credit.

Separation into core and periphery becomes less and less pronounced. Contagion risk

decreases.

Conclusions and Outlook

27