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Buffered probability of exceedance

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to measure failure risk. It was further developed and defined as the inverse CVaR by Matthew Norton, Stan Uryasev, and Alexander Mafusalov. Similar to CVaR, bPOE considers not only the probability that outcomes (losses) exceed the threshold
652: 700: 545: 272: 322: 329: 740: 805: 720: 227: 188: 144: 124: 100: 76: 56: 166: 555: 858: 893:"Calculating CVaR and bPOE for common probability distributions with application to portfolio optimization and density estimation" 78:(marked in red) as the blue shaded area. Therefore, by definition, bPOE is equal to one minus the confidence level at which the 892: 970: 965: 660: 496: 960: 760: 975: 232: 484:{\displaystyle {\bar {p}}_{x}(X)=\min _{a\geq 0}E^{+}=\min _{\gamma <x}{\frac {E^{+}}{x-\gamma }}} 955: 277: 103: 162: 725: 8: 925: 907: 828: 783: 705: 212: 173: 129: 109: 85: 79: 61: 41: 929: 832: 917: 873: 820: 787: 775: 31: 921: 779: 35: 859:"Buffered Probability of Exceedance: Mathematical Properties and Optimization" 824: 949: 761:"On Buffered Failure Probability in Design and Optimization of Structures" 647:{\displaystyle {\bar {p}}_{x}(X)=\{1-\alpha |{\bar {q}}_{\alpha }(X)=x\}} 877: 27: 16:
Explains the buffered probability of exceedance (bPOE), a risk measure
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There are two slightly different definitions of bPOE, so called
806:"Maximization of AUC and Buffered AUC in binary classification" 38:. The bPOE is the probability of a tail with known mean value 891:
Norton, Matthew; Khokhlov, Valentyn; Uryasev, Stan (2019).
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bPOE shaded in blue for the threshold, x, marked in red.
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bPOE can be expressed as the inverse function of CVaR:
890: 728: 708: 663: 558: 499: 332: 280: 235: 215: 190:, but also the magnitude of these outcomes (losses). 176: 132: 112: 88: 64: 44: 759:Rockafellar, R. Tyrrell; Royset, Johannes (2010). 734: 714: 694: 646: 539: 483: 316: 266: 221: 182: 138: 118: 94: 70: 50: 758: 947: 856: 519: 424: 365: 305: 803: 26:) is a function of a random variable used in 857:Mafusalov, Alexander; Uryasev, Stan (2018). 641: 590: 534: 522: 852: 850: 848: 911: 799: 797: 768:Reliability Engineering and System Safety 58:. The figure shows the bPOE at threshold 845: 148: 804:Norton, Matthew; Uryasev, Stan (2018). 695:{\displaystyle {\bar {q}}_{\alpha }(X)} 157:bPOE has its origins in the concept of 948: 794: 159:buffered probability of failure (bPOF) 884: 540:{\displaystyle ^{+}=\max\{\cdot ,0\}} 193: 13: 20:Buffered probability of exceedance 14: 987: 267:{\displaystyle {\bar {p}}_{x}(X)} 80:Conditional Value at Risk (CVaR) 752: 689: 683: 671: 632: 626: 614: 603: 584: 578: 566: 507: 500: 458: 445: 411: 401: 389: 383: 358: 352: 340: 311: 299: 293: 287: 261: 255: 243: 1: 900:Annals of Operations Research 745: 317:{\displaystyle x\in ,\sup X]} 906:(1–2). Springer: 1281–1315. 866:SIAM Journal on Optimization 7: 10: 992: 922:10.1007/s10479-019-03373-1 819:(1–2). Springer: 575–612. 780:10.1016/j.ress.2010.01.001 102:. bPOE is similar to the 825:10.1007/s10107-018-1312-2 104:probability of exceedance 813:Mathematical Programming 735:{\displaystyle \alpha } 209:For a random variable, 736: 722:with confidence level 716: 696: 648: 541: 485: 318: 268: 223: 184: 163:R. Tyrrell Rockafellar 154: 140: 120: 96: 72: 52: 737: 717: 697: 649: 542: 486: 319: 269: 224: 185: 152: 141: 121: 97: 73: 53: 971:Stochastic processes 966:Reliability analysis 726: 706: 661: 556: 497: 330: 278: 233: 213: 174: 130: 110: 86: 62: 42: 961:Extreme value data 878:10.1137/15M1042644 732: 712: 692: 644: 537: 481: 438: 379: 314: 264: 219: 180: 155: 136: 116: 92: 68: 48: 976:Survival analysis 715:{\displaystyle X} 674: 617: 569: 479: 423: 364: 343: 246: 229:the Lower bPOE, 222:{\displaystyle X} 194:Formal definition 183:{\displaystyle x} 139:{\displaystyle x} 119:{\displaystyle x} 106:of the threshold 95:{\displaystyle x} 71:{\displaystyle x} 51:{\displaystyle x} 983: 940: 939: 937: 936: 915: 897: 888: 882: 881: 872:(5): 1077–1103. 863: 854: 843: 842: 840: 839: 810: 801: 792: 791: 765: 756: 741: 739: 738: 733: 721: 719: 718: 713: 701: 699: 698: 693: 682: 681: 676: 675: 667: 653: 651: 650: 645: 625: 624: 619: 618: 610: 606: 577: 576: 571: 570: 562: 546: 544: 543: 538: 515: 514: 490: 488: 487: 482: 480: 478: 467: 466: 465: 440: 437: 419: 418: 378: 351: 350: 345: 344: 336: 323: 321: 320: 315: 273: 271: 270: 265: 254: 253: 248: 247: 239: 228: 226: 225: 220: 189: 187: 186: 181: 145: 143: 142: 137: 125: 123: 122: 117: 101: 99: 98: 93: 77: 75: 74: 69: 57: 55: 54: 49: 991: 990: 986: 985: 984: 982: 981: 980: 956:Risk management 946: 945: 944: 943: 934: 932: 895: 889: 885: 861: 855: 846: 837: 835: 808: 802: 795: 763: 757: 753: 748: 727: 724: 723: 707: 704: 703: 702:is the CVaR of 677: 666: 665: 664: 662: 659: 658: 620: 609: 608: 607: 602: 572: 561: 560: 559: 557: 554: 553: 510: 506: 498: 495: 494: 468: 461: 457: 441: 439: 427: 414: 410: 368: 346: 335: 334: 333: 331: 328: 327: 279: 276: 275: 274:, at threshold 249: 238: 237: 236: 234: 231: 230: 214: 211: 210: 196: 175: 172: 171: 167:Johannes Royset 161:, developed by 131: 128: 127: 111: 108: 107: 87: 84: 83: 63: 60: 59: 43: 40: 39: 32:risk management 17: 12: 11: 5: 989: 979: 978: 973: 968: 963: 958: 942: 941: 883: 844: 793: 774:(5): 499–510. 750: 749: 747: 744: 731: 711: 691: 688: 685: 680: 673: 670: 643: 640: 637: 634: 631: 628: 623: 616: 613: 605: 601: 598: 595: 592: 589: 586: 583: 580: 575: 568: 565: 536: 533: 530: 527: 524: 521: 518: 513: 509: 505: 502: 477: 474: 471: 464: 460: 456: 453: 450: 447: 444: 436: 433: 430: 426: 422: 417: 413: 409: 406: 403: 400: 397: 394: 391: 388: 385: 382: 377: 374: 371: 367: 363: 360: 357: 354: 349: 342: 339: 313: 310: 307: 304: 301: 298: 295: 292: 289: 286: 283: 263: 260: 257: 252: 245: 242: 218: 195: 192: 179: 135: 115: 91: 67: 47: 36:financial risk 15: 9: 6: 4: 3: 2: 988: 977: 974: 972: 969: 967: 964: 962: 959: 957: 954: 953: 951: 931: 927: 923: 919: 914: 909: 905: 901: 894: 887: 879: 875: 871: 867: 860: 853: 851: 849: 834: 830: 826: 822: 818: 814: 807: 800: 798: 789: 785: 781: 777: 773: 769: 762: 755: 751: 743: 729: 709: 686: 678: 668: 655: 638: 635: 629: 621: 611: 599: 596: 593: 587: 581: 573: 563: 551: 548: 531: 528: 525: 516: 511: 503: 491: 475: 472: 469: 462: 454: 451: 448: 442: 434: 431: 428: 420: 415: 407: 404: 398: 395: 392: 386: 380: 375: 372: 369: 361: 355: 347: 337: 325: 324:is given by: 308: 302: 296: 290: 284: 281: 258: 250: 240: 216: 207: 205: 201: 191: 177: 168: 164: 160: 151: 147: 133: 113: 105: 89: 81: 65: 45: 37: 33: 29: 25: 21: 933:. Retrieved 903: 899: 886: 869: 865: 836:. Retrieved 816: 812: 771: 767: 754: 656: 552: 549: 492: 326: 208: 203: 199: 197: 158: 156: 146:of the tail. 82:is equal to 34:, including 23: 19: 18: 950:Categories 935:2023-02-27 913:1811.11301 838:2023-03-12 746:References 204:Upper bPOE 200:Lower bPOE 28:statistics 930:254231768 833:254145122 730:α 679:α 672:¯ 622:α 615:¯ 600:α 597:− 567:¯ 526:⋅ 504:⋅ 476:γ 473:− 455:γ 452:− 429:γ 396:− 373:≥ 341:¯ 285:∈ 244:¯ 788:1653873 928:  831:  786:  657:where 493:where 926:S2CID 908:arXiv 896:(PDF) 862:(PDF) 829:S2CID 809:(PDF) 784:S2CID 764:(PDF) 432:< 202:and 165:and 30:and 24:bPOE 918:doi 904:299 874:doi 821:doi 817:174 776:doi 547:. 520:max 425:min 366:min 306:sup 952:: 924:. 916:. 902:. 898:. 870:95 868:. 864:. 847:^ 827:. 815:. 811:. 796:^ 782:. 772:95 770:. 766:. 742:. 654:, 206:. 938:. 920:: 910:: 880:. 876:: 841:. 823:: 790:. 778:: 710:X 690:) 687:X 684:( 669:q 642:} 639:x 636:= 633:) 630:X 627:( 612:q 604:| 594:1 591:{ 588:= 585:) 582:X 579:( 574:x 564:p 535:} 532:0 529:, 523:{ 517:= 512:+ 508:] 501:[ 470:x 463:+ 459:] 449:X 446:[ 443:E 435:x 421:= 416:+ 412:] 408:1 405:+ 402:) 399:x 393:X 390:( 387:a 384:[ 381:E 376:0 370:a 362:= 359:) 356:X 353:( 348:x 338:p 312:] 309:X 303:, 300:] 297:X 294:[ 291:E 288:[ 282:x 262:) 259:X 256:( 251:x 241:p 217:X 178:x 134:x 114:x 90:x 66:x 46:x 22:(

Index

statistics
risk management
financial risk
Conditional Value at Risk (CVaR)
probability of exceedance

R. Tyrrell Rockafellar
Johannes Royset
"On Buffered Failure Probability in Design and Optimization of Structures"
doi
10.1016/j.ress.2010.01.001
S2CID
1653873


"Maximization of AUC and Buffered AUC in binary classification"
doi
10.1007/s10107-018-1312-2
S2CID
254145122



"Buffered Probability of Exceedance: Mathematical Properties and Optimization"
doi
10.1137/15M1042644
"Calculating CVaR and bPOE for common probability distributions with application to portfolio optimization and density estimation"
arXiv
1811.11301
doi

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