Banknii Uil Ajillgaani Ersdeliin Risk Matritsiin Argaar Unelj San Baiguulah Bolomj U.khishigdari-san-2013

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Banknii uil ajillgaani ersdeliin risk matritsiin argaar unelj san baiguulah bolomj U.Khishigdari-san-

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  • 2013

    1

    340400

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    2

    ............................................................................................................................2

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    1.1. ...................7

    1.2. ....................................22

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    2.1. .................27

    2.2. .48

    , ..........................................................................................................54

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    , .

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    1990 , .

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    4 Medova E.A 1999 . . , 1.

    2 Mathiass Degan, Paul

    Embrecht Dominik

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    2001 - EVT G-H .

    = + 1

    /

    G-H 2.

    5 Jack L.King 2001 : EVT , . EVT . , .

    1Alexander J.McNeil, (1999),Extreme value theory for risk managers

    2Alexander J.McNeil & Thomas Saladin, (1997), The Peaks Over Threshold Method for Estimating High Quantiles of Loss Distribution

  • 2013

    6

    3 Bocker, Kupelberg 2002 VAR . .

    1 Antoine Frachot, Thierry

    Roncalli Eric Salomon

    2003 , LDA Loss Distribution Approach .

    7 V. Chavez-Demoulen,

    P.Embrechts

    2004 EVT , POT Peaks over threshold .

    8 Reumer Kuhn, Peter Neu 2004 , . .

    6 Nicolas Baud, Antoine

    Frechot

    2005 , . BIA, IMA, AMA, LDA, ScA .

    .

    ., . (2010)

    7

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    3Basel Committee on Banking Supervision Operational Risk 2001, http://www.bis.org/publ/bcbsca07.pdf

  • 2013

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  • 2013

    13

    2002 750 .7

    2008 1 7 . 2002 2 (692 $ ):

    yen/dollar

    John Rusnack 3 .

    .

    1997 3 Nat West (127 $ ): Kyriacos Papouis option

    . . Nat

    West Royal .

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    MGAM-

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    1996 6 Sumitomo (2,6 $ ): 3 . Yasuo Hamanaka

    .

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    1995 9 Daiwa (1,1 $ ): Toshihidi Iguchi 11 .

    .

    1995 2 Barings (1,3 $ ): Nick Leeson 2 . Barings

    .

    1994 10 Bankers Trust (150 $ ):

    .

    . .8

    All first Finincial 691 . House Finance 484

    7Junji Hivatashi, Hiroshi Ashida (2002) Advancing operational risk management using Japanese banking 8 www..erisk.com http://www.erisk.com/Learning/CaseStudies

  • 2013

    14

    Bank of New York 2001 9 11 140

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    9International fraud Operrational Risk http://rbi.org.in/upload/notification/pdfs/66813.pdf 10 Risk management and Shareholders Value in Banking 511-532

  • 2013

    15

    608 ,

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    11 Basel Committee on Banking Supervision Operational Risk 2001, http://www.bis.org/publ/bcbsca07.pdf

  • 2013

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    12 Basel Committee on Banking Supervision Operational Risk 2001, http://www.bis.org/publ/bcbsca07.pdf

  • 2013

    17

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    13 Basel Committee on Banking Supervision Operational Risk 2001

  • 2013

    18

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    . 14 Basel Committee on Banking Supervision Operational Risk 2001, http://www.bis.org/publ/bcbsca07.pdf

  • 2013

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  • 2013

    22

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    The basic Indicator Approach(BIA): 3

    .

    CSBIA=GI* CSBIA-BIA

    GI- 3

    - .

    15 %

    .

    15Basel Committee on Banking Supervision Operational Risk 2001

  • 2013

    23

    The Standardized Approach(TSA): 8

    3

    .

    /8 /

    (Corporate finance) (Trading and sales) (Retail banking) (Commercial banking) (Payment and settlement) (Agency Services) (Asset management) (Retail brokerage)

    =

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    - 3

    - 12%-18%

    The Advanced Measurement Approach(AMA):

    . AMA-

    . .

    Internal Measurement Approach Loss Distribution Approach Scorecard-

  • 2013

    24

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    1.

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    16Basel Committee on Banking Supervision Operational Risk 2001

  • 2013

    25

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  • 2013

    26

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    : . 2009, , ,145-157

    17. 2009 145-157

  • 2013

    27

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  • 2013

    28

    : . 2009, , ,145-157

    .

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    18 , 2010

  • 2013

    29

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    - - -

    : Code of Practice on Workplace Safety and Health Risk Management, 2011

    19Code of Practice on Workplace Safety and Health Risk Management, 2011

  • 2013

    30

    .

    9.

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  • 2013

    31

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  • 2013

    32

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  • 2013

    33

    13.

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  • 2013

    34

    17.

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  • 2013

    35

    2

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    :

  • 2013

    36

    3.

    :

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    11% , 71% ,

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    37 .

    20.

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  • 2013

    37

    4.

    :

    . ,

    .

    21.

    1

    17

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    1,143,548.00

    4,314,286.51 9%

    2

    14

    20,851,426.46 1,171,545.00

    3,609,250.00

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    3

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    1,826,440.00

    12,174,252.00 26%

    4

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    4,052,711.80

    13,590,251.00 29%

    37 61,586,055.77

    4,804,685.00

    10,631,949.80

    46,149,420.97 100%

    :

    6

    3

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    7

  • 2013

    38

    9%- , 35%-

    , 26%- , 29%-

    46,149,420.97 .

    22.

    1

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    3

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    ,

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    19% 81%

    .

  • 2013

    39

    ,

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    .

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    2.

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  • 2013

    40

    4.

    ,

    .

    .

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    .

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    :

    2011, 2012 .

    2010

    .

    .

    2011

    .

    2%

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    11%

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    8%

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    15%

    10%

    7%

    5%

    0%

    5%

    10%

    15%

    20%

    25%

    2004 2005 2006 2007 2008 2009 2010 2011 2012

  • 2013

    41

    7.

    :

    2004-2007 .

    2008 2010

    .

    8.

    :

    .

    67%

    33%

    44%

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    22% 22%

    0

    0.1

    0.2

    0.3

    0.4

    0.5

    0.6

    0.7

    2004 2005 2006 2007 2008 2009 2010 2011 2012

    0%10%20%30%40%50%60%70%

    2004

    2005

    2006

    2007

    2008

    2009

    2010

    2011

    2012

  • 2013

    42

    9.

    :

    2004, 2008, 2009 ,

    .

    .

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    11% 12%14%

    16%

    11%

    0%

    10%

    20%

    30%

    40%

    50%

    60%

    2004 2005 2006 2007 2008 2009 2010 2011 2012

    , ,

    ,

    ,

  • 2013

    43

    6

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  • 2013

    44

    :

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    Eviews (logit model) .

    (Logit Model)-

    , , , , , ,

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    . .

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    C(7)*D3 + C(8)*E2 + C(9)*E4 + C(10)*F2 + C(11)*G2 + C(12)*H1 + C(13)*I1 +

    C(14)*I2 + C(15)*I3 + C(16)*I4))

    :

    Y = 1-@CLOGISTIC(-(-3.2 + 4.1*A1 + 2.9*A4 + 5.6*B1 - 3.7*D1 - 5.3*D2 + 6*D3 +

    2*E2 + 1.2*E4 - 4*F2 - 6*G2 + 7.8*H1 - 10.8*I1 - 9.8*I2 - 9.7*I3 - 3.5*I4))

    95%-

    . 1 Eviews

    , Prob 0.05-

    .

    McFadden R-squared 0.76 76%

    .

    :

  • 2013

    45

    24.

    Prob.

    C -3.168003 0.0403

    1 A1 4.066751 0.0008

    5- A4 2.860247 0.0502

    18-25 B1 5.611018 0.0001

    D1 -3.719044 0.0087

    D2 -5.322781 0.0020

    D3 6.040453 0.0001

    E2 1.975397 0.0276

    E4 1.230459 0.2892

    F2 -3.985476 0.0061

    G2 -6.043941 0.0001

    H1 7.757866 0.0000

    50-80 I1 -10.76712 0.0000

    80-100 I2 -9.755620 0.0000

    100-120 I3 -9.654056 0.0000

    120-140 I4 -3.524052 0.0118

    :

    :1 5-

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    , 18-25 ,

    , ,

    .

    ,

    .

    .

    .

  • 2013

    46

    . , I5 140-

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    :

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    .

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    50 100 150 200 250 300

    Residual Actual Fitted

  • 2013

    47

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    .

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  • 2013

    48

    ,

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    , , , Western Union- , , , , , ,

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  • 2013

    49

    11.

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    .

    .

    ,

    . .

    .

    12.

    : . 2011,

    ,

    .

  • 2013

    50

    .

    3

    .

    CSBIA=GI* CSBIA-BIA

    GI- 3

    - .

    15 %

    . 26- .

    25.

    2009 .

    2010 .

    2011 .

    3

    81,831,663 111,156,503 165,165,129 119,384,431 15% 17,907,664

    9,433,139 12,655,448 18,213,204 13,339,930 15% 2,000,989

    188,892 171,063 12,346 124,100 15% 18,615

    5,819,115 6,540,276 20,530,083 10,963,158 15% 1,644,473

    97,272,809 130,523,290 203,920,762 143,905,620

    21,571,741

    :

    3 143,905,620

    . 71,571,741 .

    .

  • 2013

    51

    . :

    12

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    1%- .

  • 2013

    52

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    .

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    .

  • 2013

    53

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    ,

    1. .. 2011,

    , -,

    2. .. 2006, ,

    3. .. 2009, ,

    ,

    1. George H. Hempel, Dolald G. Simonson, 1999, Bank management,5th ed, John

    Wiley & Sons. Inc, United States of America

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    Australia

    3. Carol Alexander, 2003, Operational risk, Financial Times Prentice Hall, United

    States of America

    ,

    4. Alexander J.McNeil. 1999, Extreme value theory for risk managers

    5. Alexander J.McNeil & Thomas Saladin. 1997, The Peaks Over Threshold

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  • 2013

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    13. . (2012),

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  • 2013

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    :

    Dependent Variable: Y

    Method: ML - Binary Logit (Quadratic hill climbing)

    Date: 05/20/13 Time: 15:33

    Sample: 1 348

    Included observations: 348

    Convergence achieved after 7 iterations

    Covariance matrix computed using second derivatives

    Variable Coefficient Std. Error z-Statistic Prob.

    C -3.168003 1.544715 -2.050865 0.0403

    A1 4.066751 1.217748 3.339567 0.0008

    A4 2.860247 1.460656 1.958194 0.0502

    B1 5.611018 1.474873 3.804409 0.0001

    D1 -3.719044 1.417199 -2.624221 0.0087

    D2 -5.322781 1.718827 -3.096753 0.0020

    D3 6.040453 1.516855 3.982222 0.0001

    E2 1.975397 0.896599 2.203211 0.0276

    E4 1.230459 1.160851 1.059963 0.2892

    F2 -3.985476 1.452025 -2.744770 0.0061

    G2 -6.043941 1.532992 -3.942577 0.0001

    H1 7.757866 1.631451 4.755193 0.0000

    I1 -10.76712 1.973347 -5.456271 0.0000

    I2 -9.755620 1.942728 -5.021609 0.0000

    I3 -9.654056 2.182262 -4.423876 0.0000

    I4 -3.524052 1.399073 -2.518848 0.0118

    McFadden R-squared 0.764849 Mean dependent var 0.500000

    S.D. dependent var 0.500720 S.E. of regression 0.214204

    Akaike info criterion 0.417943 Sum squared resid 15.23325

    Schwarz criterion 0.595056 Log likelihood -56.72205

    Hannan-Quinn criter. 0.488455 Restr. log likelihood -241.2152

    LR statistic 368.9863 Avg. log likelihood -0.162994

    Prob(LR statistic) 0.000000

    Obs with Dep=0 174 Total obs 348

    Obs with Dep=1 174