Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Azamat Abdymomunov"'
Publikováno v:
SSRN Electronic Journal.
Autor:
Azamat Abdymomunov, Filippo Curti
Publikováno v:
Journal of Financial Services Research. 57:287-313
One of the main challenges that banks face in quantifying operational risk is the instability of risk estimates caused by heavy-tailed and insufficient loss data. To address these issues, we propose a loss scaling method to combine a bank’s interna
Autor:
Azamat Abdymomunov, Atanas Mihov
Publikováno v:
Journal of Financial Services Research. 56:73-93
This study documents the association between the quality of risk management practices and operational loss realizations at large financial institutions in the United States. Using detailed supervisory data, we find that companies with weak risk manag
Autor:
Ibrahim Ergen, Azamat Abdymomunov
Publikováno v:
International Review of Finance. 17:177-204
Using supervisory operational loss data of the US banking industry, we analyze dependence among operational losses within banks and across banks. We find evidence of relatively strong dependence among tail losses of different operational loss types w
Publikováno v:
Journal of International Money and Finance. 64:39-61
In this paper we investigate whether information in credit spreads helps improve the forecasts of government bond yields. To do this, we propose and estimate a joint dynamic Nelson–Siegel (DNS) model of the U.S. Treasury yield curve and the credit
Publikováno v:
SSRN Electronic Journal.
The literature proposes several alternatives for estimating compound distributions, which are widely used for risk quantification in the banking and insurance industries. In this paper, we evaluate the accuracy and time-efficiency of different approa
Autor:
Jeffrey R. Gerlach, Azamat Abdymomunov
Publikováno v:
Journal of Banking & Finance. 49:287-301
In the current low interest rate environment, the possibility of a sudden increase in rates is a potentially serious threat to financial stability. As a result, analyzing interest rate risk (IRR) is critical for financial institutions and supervisory
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.
Autor:
Azamat Abdymomunov, Ibrahim Ergen
Publikováno v:
SSRN Electronic Journal.
Using supervisory operational loss data of the U.S. banking industry, we analyze correlations among operational losses within banks and across banks. We find evidence of relatively high correlations among tail losses of different operational risk typ
Autor:
James Morley, Azamat Abdymomunov
Publikováno v:
Applied Financial Economics. 21:1463-1478
We investigate time variation in Captial Asset Pricing Model (CAPM) betas for Book-to-Market (B/M) and momentum portfolios across stock market volatility regimes. For our analysis, we jointly model market and portfolio returns using a two-state Marko