Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Bakhodir Ergashev"'
Publikováno v:
Journal of Financial Services Research. 47:57-79
We enhance the method of integrating scenarios proposed in Ergashev (J Financ Serv Res 41(3):145–161, 2012) into risk models. In particular, we provide additional theoretical insights of the method with focus on stress testing Value-at-Risk models.
Publikováno v:
The Journal of Operational Risk. 8:55-81
Autor:
Bakhodir Ergashev
Publikováno v:
Journal of Financial Services Research. 41:145-161
In this paper, I introduce a theoretically justified framework that incorporates scenario analysis into operational risk modeling. The basis for the framework is the idea that only worst-case scenarios contain valuable information about the tail beha
Autor:
Siddhartha Chib, Bakhodir Ergashev
Publikováno v:
Journal of the American Statistical Association. 104:1324-1337
In finance and economics much work has been done on the theoretical modeling and statistical estimation of the yield curve, defined as the relationship between (−1/τ) log pt(τ) and τ, where pt(τ) is the time t price of a zero-coupon bond with p
Autor:
Bakhodir Ergashev
Publikováno v:
The Journal of Operational Risk. 4:35-57
Autor:
Bakhodir Ergashev
Publikováno v:
The Journal of Operational Risk. 3:63-86
Autor:
Bakhodir Ergashev
Publikováno v:
SSRN Electronic Journal.
We model the U.S. banking system as a thermodynamic system of interacting elements with individual banking firms representing those elements. Firms with similar asset and liability structures interact in the sense that they pursue similar objectives.
Autor:
Bakhodir Ergashev, Sharon Blei
Publikováno v:
SSRN Electronic Journal.
In this paper, we present a compellingly simple yet innovative approach to capturing the buildup of systemic risk associated with commonalities in banks’ asset holdings. We draw on a growing strand of theoretical literature that studies the systemi
Publikováno v:
SSRN Electronic Journal.
This paper addresses challenges of estimating operational risk regulatory capital when a loss sample is truncated from below at a data collection threshold. Recent operational risk literature reports that the attempts to estimate loss distributions b
Publikováno v:
SSRN Electronic Journal.
We enhance the method of integrating scenarios proposed in Ergashev (2012) into risk models. In particular, we provide additional theoretical insights of the method with focus on stress testing Value-at-Risk models. We extend the application of the m