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The geometry of the The geometry of the market market
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  • The geometry of the The geometry of the marketmarket

  • ContentsContents1 The Market Geometry

    Market metricPrincipal directionsEffective dimensionsA measure of structureNew structure after 1997

    2 Market networksNetworks in and outside crises

    Connection intensities3 Market shape: precursor of endogeneous crisis and return to

    normalityGeometrical volumeSkewness and kurtosis

  • The metric

    ((FromFrom thethe EuclideanEuclidean distancedistance ofof thethe timetime seriesseries))

    dd

    IBMIBM

    GEGE

    )1(2 ijij cd −= (Mantegna & Stanley, 1999)

    ))(log())(log()( 1 kpkpkr tt −−= p: pricer: return

    Market space1. The N stock coordinates are computed from the

    distances. Embedding space dimension = N-12. Find the center of mass R=Σ m(k) x(k) / Σ m(k)3. Find coordinates in the center of mass system

    y(k) = x(k) - R4.4. ConstructConstruct thethe inertialinertial tensor tensor TTijij ==ΣΣ m(km(k) ) yyii(k(k) ) yyjj(k(k))5.5. FindFind thethe eigenvectorseigenvectors andand eigenvalueseigenvalues ofof T : (T : (λλii,e,eii))6.6. Compare Compare withwith thethe samesame constructionconstruction for for permutedpermuted

    datadata

    1 - The Market Geometry

  • What is the number of dimensions of the manifoldcontaining the systematic components of all stocks ?

    S&P500 S&P500 andand DowDow JonesJones, , dailydaily datadata

    35 stocks, 10 years 70 stocks, 10 years249 stocks, 33 years 253 stocks, 35 years253 stocks, 22 years 424 stocks, 10 years

    InIn allall cases: cases: 6 dimensions are enough !

    Geometria do Mercado Financeiro

    TheThe systematicsystematic componentcomponentisis containedcontained inin f f dimensionsdimensions

  • OrderedOrdered andand normalizednormalized eigenvalueseigenvalues

    λλ+(1+(1--λλ*)*)

    λ : actualλ* : random

    Geometria do Mercado FinanceiroEffective dimensions

    0 10 20 300.2

    0.3

    0.4

    0.5

    0.6

    0.7

    0.8

    0.9

    11998-2008 424 Stocks

    λ +

    (1- λ

    *)

    0 10 20 300.2

    0.3

    0.4

    0.5

    0.6

    0.7

    0.8

    0.9

    1

    λ +

    (1- λ

    *)

    1988-2008 253 Stocks

  • Redes de Mercado

    Shape changes in the market space

    Shape and crises

    -0.5

    0

    0.5

    -0.5

    0

    0.5-0.5

    0

    0.5

    Jul.1998 to Jul.2000

    Uti IT Fin Heal Cons Ind Ene

    “Spherical” marketTypical in all projections

    for “surrogate data” or in “business-as-usual”

    periods

    During crises there isdistortion and reduction

    of volume

  • Redes de MercadoShape and crises

    -0.5

    0

    0.5-0.5

    0

    0.5

    -0.5

    0

    0.5

    Mar.1998 to Mar.2008

    Uti IT Fin Heal Cons Ind Ene

    -0.500.5

    -0.500.5

    -0.5

    0

    0.5

    2001 253 stocks

    e2

    e3

    -0.5 0 0.5-0.500.5

    -0.5

    0

    0.5

    e1

    2007 253 stocks

    e3

    e2

    -0.5 00.5

    -0.500.5

    -0.5

    0

    0.5

    e1

    1992 253 stocks

    e3

    e2

    -0.50

    0.5

    -0.500.5

    -0.5

    0

    0.5

    e1

    Surrogate Data 253 stocks

    e3

    e2

  • Geometria do Mercado FinanceiroA structure index

    ∑=

    ⎟⎟⎠

    ⎞⎜⎜⎝

    ⎛−=

    6

    11

    )()('

    i t

    tt i

    iSλλ

    Structure index

    After 1997 deviationsfrom sphericity become

    more frequent.

    What happened ?

    λ : actualλ’: random

    17/04/71 07/10/76 30/03/82 20/09/87 12/03/93 02/09/98 23/02/04 15/08/090

    10

    20

    30

    40

    50230 stocks

    S

    88 89 90 91 92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 080

    5

    10

    15

    20253 stocks A new regime after 1997

    SS

    >5

  • Redes de MercadoMarket networks

    MarketMarket networksnetworks: : FromFrom a a fullyfully connectedconnectednetworknetwork to a to a sparsesparse oneone

    1. minimal spanning tree2. LD6 = smallest distance in

    R6 that guarantees the network connectivity

    3. hierarchical clustering

    02

    12

    ,,6

    ,,6

    6

    6

    =⇒>

    =⇒≤

    jiDji

    jiDji

    bL

    d

    bL

    d

    Aug2000

    28

    Energy

    73

    Industrial

    114

    Consumer

    44

    Health

    70

    Financial

    56

    Technology

    39

    Utilities

    Few connections in normal periods

  • MarketMarket networksnetworks

    The economic agentsare much more correlated duringmarket crises

    Redes de MercadoMarket networks

    Jan2008

    28

    Energy

    73

    Industrial

    114

    Consumer

    44

    Health

    70

    Financial

    56

    Technology

    39

    Utilities

    An increased number of connections, mostly inside sectors

  • Redes de MercadoMarket networks

    Sep2001

    28

    Energy

    73

    Industrial

    114

    Consumer

    44

    Health

    70

    Financial

    56

    Technology

    39

    Utilities

  • Redes de MercadoMarket networks

    Another structure indexAnother structure index

    Ratio of weak and

    strong links

    1997 1998 2000 2001 2002 2004 2005 2006 20080

    0.5

    1

    1.5424 stocks From Jan.1998 to Mar.2008

    R

    1997 1998 2000 2001 2002 2004 2005 2006 2008

    R>0

    .5

    >

    ≤=

    66

    66

    ),(

    6

    ),(

    6

    ),(

    ),(

    Dt

    Dt

    Ljidt

    Ljidt

    tjid

    jid

    R

  • SynchronizationSynchronizationRedes de MercadoSynchronization

    Sep2001

    Uti IT Fin Heal Cons Ind Ene

    Mar1998otherwises

    Ljids

    i

    Dti

    02

    ),(166

    =

    ∃⇔= ≤

    The state depends on the existence of a strong link inside or outside the sector

  • Redes de MercadoTopologiaSynchronization

    Dec2007

    Jan2008

    Feb2008

    Uti IT Fin Heal Cons Ind Ene

    Aug2000

    Sep2000

  • Redes de MercadoMarket shape as a precursor of crises and indicator of return to normality

    -- CharacterizingCharacterizing shapeshape::-- Volume, Volume, asymmetryasymmetry andand tailstails-- MardiaMardia’’ss SkewnessSkewness KK33 andand KurtosisKurtosis KK44

    -- TheThe volume volume isis thethe productproduct ofof thethe firstfirst 6 6 eigenvaueseigenvaues-- KK33 andand KK44 are are computedcomputed afterafter thethe dimensionsdimensions are are

    renormalizedrenormalized to to havehave thethe samesame volumevolume

    ( ) ( ){ }∑∑= =

    − −−=n

    i

    n

    jji XXSXX

    nK

    1 1

    31'

    231

    ( ) ( ){ }∑=

    − −−=n

    iii XXSXXn

    K1

    21'

    41

  • Redes de MercadoMarket shape as a precursor of crises and indicator of return to normality

    07/09/97 17/09/97 27/09/97 07/10/97 17/10/97 27/10/97 06/11/97

    102

    K4

    w=8 2nd Black Monday: 27/10/97

    07/09/97 17/09/97 27/09/97 07/10/97 17/10/97 27/10/97 06/11/97

    10-3

    V

    w=8 2nd Black Monday: 27/10/97

    07/09/97 17/09/97 27/09/97 07/10/97 17/10/97 27/10/97 06/11/97850

    900

    950

    1000

    PS&

    P500

    28/08/97 07/09/97 17/09/97 27/09/97 07/10/97 17/10/97 27/10/97 06/11/97 16/11/97100

    101

    102

    K3

    w=8 2nd Black Monday: 27/10/97

  • Redes de MercadoMarket shape as a precursor of crises and indicator of return to normality

    30/09/87 10/10/87 20/10/87 30/10/87 09/11/87 19/11/87 29/11/87 09/12/87 19/12/8710

    −6

    10−5

    10−4

    10−3

    10−2

    V

    w=8 Black Monday: 19/10/1987

    30/09/87 10/10/87 20/10/87 30/10/87 09/11/87 19/11/87 29/11/87 09/12/87 19/12/87200

    250

    300

    350

    PS

    &P

    500

    30/09/87 10/10/87 20/10/87 30/10/87 09/11/87 19/11/87 29/11/87 09/12/87 19/12/8710

    0

    101

    102

    K3

    w=8 Black Monday: 19/10/1987

    30/09/87 10/10/87 20/10/87 30/10/87 09/11/87 19/11/87 29/11/87 09/12/87 19/12/8710

    1

    102

    103

    K4

    w=8 Black Monday: 19/10/1987

  • - From some of the cases studied so far it looks as if the shape of the market might provide some precursors of impending crises and would also be an indicator of when normality has returned.

    - However this is just work in progress. More to come.

    Redes de MercadoMarket shape as a precursor of crises and indicator of return to normality

  • - RVM., T. Araújo and F. Louçã; Reconstructing an Economic Space from a Market Metric, Physica A 323 (2003) 625-648

    - T. Araújo and F. Louçã; The Geometry of Crashes: A Measure of the Dynamics of Stock Market Crises, Quantitative Finance 7 (2007) 63-74

    - T. Araújo and F. Louçã; The Seismography of Crashes in Financial Markets, Physics Letters A 372 (2008) 429-434

    - T. Araújo and F. Louçã; Tribes under Threat - The Collective Behavior of Firms During Stock Market Crises, Working paper ISEG 2008/28, to appear in Int. Journ. of Industrial and Corporate Change

    - T. Araújo and F. Louçã; Trouble Ahead - The Subprime Crisis as Evidence of a New Regime in the Stock Market, Working paper ISEG 2008/26, Economics Letters

    Redes de MercadoReferences


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