Literaturverzeichnis
Acerbi, C. (2002). Spectral measures of risk: A coherent representation of subjective risk aversion. Journal of Banking and Finance, 26(7), 1505–1518.
Acerbi, C., Nordio, C., Sirtori, C. (2001). Expected Shortfall as a Tool for Financial Risk Management. Journal of Risk, 3(2), 21–41.
Acerbi, C., Tasche, D. (2002). On the coherence of expected shortfall. Journal of Banking and Finance, 26(7), 1487–1503.
Acharya, V. V., Pedersen, L. H. (2005). Asset pricing with liquidity risk. Journal of Financial Economics, 77(2), 375–410.
Acharya, V. V., Pedersen, L. H., Philippon, T., Richardson, M. (2017). Measuring Systemic Risk. Review of Financial Studies, 30(1), 2–47.
Adrian, T., Brunnermeier, M. K. (2016). CoVaR. American Economic Review, 106(7), 1705–1741.
Alexander, G. J., Baptista, A. M. (2004). A comparison of VaR and CVaR constraints on portfolio selection with the mean-variance model. Management Science, 50(9), 1261–1273.
Altman, E. I. (1968). Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy. Journal of Finance, 23(4), 589–609.
Andersson, F., Mausser, H., Rosen, D., Uryasev, S. (2001). Credit risk optimization with conditional value-at-risk criterion. Mathematical Programming, 89(2), 273–291.
Artzner, P., Delbaen, F., Eber, J. M., Heath, D. (1999). Coherent Measures of Risk. Mathematical Finance, 9(3), 203–228.
Athayde, G. M., Flores, R. G. (2004). Finding a maximum skewness portfolio: A general solution to three-moment portfolio choice. Journal of Economic Dynamics and Control, 28(7), 1335–1352.
Basel Committee on Banking Supervision (1996, 2006). Amendment to the Capital Accord to Incorporate Market Risks.
Basel Committee on Banking Supervision (2016). Minimum capital requirements for market risk – final standard.
Bawa, V. S. (1975). Optimal rules for ordering uncertain prospects. Journal of Financial Economics, 2(1), 95–121.
Berkowitz, J., O’Brien, J. (2002). How Accurate Are Value-at-Risk Models at Commercial Banks? Journal of Finance, 57(3), 1093–1111.
Bollerslev, T. (1986). Generalized Autoregressive Conditional Heteroskedasticity. Journal of Econometrics, 31(3), 307–327.
Breymann, W., Dias, A., Embrechts, P. (2003). Dependence structures for multivariate high-frequency data in finance. Quantitative Finance, 3(1), 1–14.
Brownlees, C. T., Engle, R. F. (2017). SRISK: A Conditional Capital Shortfall Measure of Systemic Risk. Review of Financial Studies, 30(1), 48–79.
Brunnermeier, M. K., Pedersen, L. H. (2009). Market liquidity and funding liquidity. Review of Financial Studies, 22(6), 2201–2238.
Chen, S. H., Lee, C. F. (1987). Option valuation with lower partial moments. Journal of Financial Research, 10(2), 117–131.
Cherny, A. S., Madan, D. B. (2009). New measures for performance evaluation. Review of Financial Studies, 22(7), 2571–2606.
Cherubini, U., Luciano, E., Vecchiato, W. (2004). Copula Methods in Finance. John Wiley and Sons.
Christoffersen, P. F. (1998). Evaluating Interval Forecasts. International Economic Review, 39(4), 841–862.
Christoffersen, P., Diebold, F. X. (2000). How relevant is volatility forecasting for financial risk management? Review of Economics and Statistics, 82(1), 12–22.
Cont, R., Deguest, R., Scandolo, G. (2010). Robustness and sensitivity analysis of risk measurement procedures. Quantitative Finance, 10(6), 593–606.
Cotter, J., Dowd, K. (2006). Extreme spectral risk measures: An application to futures clearinghouse margin requirements. Journal of Banking and Finance, 30(12), 3469–3485.
Daníelsson, J., Hartmann, P., de Vries, C. G. (2013). The economics of systemic risk and the cost of regulatory failures. International Journal of Central Banking, 9(1), 109–143.
Daníelsson, J., Zigrand, J.-P. (2006). On time-scaling of risk and the square-root-of-time rule. Journal of Banking and Finance, 30(10), 2701–2713.
Dowd, K., Blake, D. (2006). After VaR: The theory, estimation, and insurance applications of quantile-based risk measures. Journal of Risk and Insurance, 73(2), 193–229.
Eling, M., Jung, K. (2008). Copula-based quantification of risk dependencies: An empirical study of financial data. Insurance: Mathematics and Economics, 43(3), 474–489.
Eling, M., Toplek, D. (2022). Spectral risk measures in insurance regulation: Theory and practice. Journal of Risk and Insurance, 89(2), 399–434.
Embrechts, P., McNeil, A., Straumann, D. (2002). Correlation and dependence in risk management: Properties and pitfalls. In: Risk Management: Value at Risk and Beyond, Cambridge University Press.
Emmer, S., Kratz, M., Tasche, D. (2015). What is the best risk measure in practice? A comparison of standard measures. Journal of Risk, 18(2), 31–60.
Engle, R. F., Manganelli, S. (2004). CAViaR: Conditional autoregressive value at risk by regression quantiles. Journal of Business and Economic Statistics, 22(4), 367–381.
Estrada, J. (2007). Mean–semivariance behavior: Downside risk and capital asset pricing. International Review of Economics and Finance, 16(2), 169–185.
Favre, L., Galeano, J. A. (2002). Mean-modified Value-at-Risk optimization with hedge funds. Journal of Alternative Investments, 5(2), 21–25.
Fishburn, P. C. (1977). Mean-Risk Analysis with Risk Associated with Below-Target Returns. American Economic Review, 67(2), 116–126.
Gordy, M. B. (2003). A Risk-Factor Model Foundation for Ratings-Based Bank Capital Rules. Journal of Financial Intermediation, 12(3), 199–232.
Guill, G. (2016): Bankers Trust and the Birth of Modern Risk Management. Journal of Applied Corporate Finance, 28(1), 19–29.
Gupta, A., Dwivedi, D. N., Shah, J. (2023). Artificial Intelligence Applications in Banking and Financial Services, Springer 2023.
Harlow, W. V., Rao, R. K. S. (1989). Asset pricing in a generalized mean-lower partial moment framework: Theory and evidence. Journal of Financial and Quantitative Analysis, 24(3), 285–311.
Hogan, W. W., Warren, J. M. (1972). Toward the development of an alternative portfolio selection model. Journal of Financial and Quantitative Analysis, 7(1), 1–28.
Hu, W., Chen, Y. (2022). Application of Artificial Intelligence in Financial Risk Management. In: Sun, X., Zhang, X., Xia, Z., Bertino, E. (eds): Artificial Intelligence and Security. ICAIS 2022. Lecture Notes in Computer Science, Vol. 13338. Springer, Cham. https://doi.org/10.1007/978-3-031-06794-5_15.
Hull, J., White, A. (1998). Incorporating volatility updating into the historical simulation method for value-at-risk. Journal of Risk, 1(1), 5–19.
Joe, H. (1997). Multivariate Models and Dependence Concepts. Chapman and Hall/CRC.
Jondeau, E., Rockinger, M. (2006). The copula-GARCH model of conditional dependencies: An international stock market application. Journal of International Money and Finance, 25(5), 827–853.
Jorion, P. (2000). Value at Risk: The New Benchmark for Managing Financial Risk. McGraw-Hill (3. Aufl.).
Krokhmal, P., Uryasev, S., Zrazhevsky, G. (2011). Numerical comparison of CVaR and spectral risk measures. Journal of Banking and Finance, 35(11), 3005–3012.
Kupiec, P. (1995). Techniques for Verifying the Accuracy of Risk Measurement Models. Journal of Derivatives, 3(2), 73–84.
Kusuoka, S. (2001). On law invariant coherent risk measures. Advances in Mathematical Economics, 3, 83–95.
Li, D. X. (2000). On default correlation: A copula function approach. Journal of Fixed Income, 9(4), 43–54.
McNeil, A. J., Frey, R., Embrechts, P. (2015). Quantitative Risk Management: Concepts, Techniques, and Tools.
Merton, R. C. (1974). On the pricing of corporate debt: The risk structure of interest rates. Journal of Finance, 29(2), 449–470.
Nadarajah, S., Zhang, Y., Chan, S. (2014). Estimation methods for expected shortfall: A comparative study. European Journal of Operational Research, 234(2), 527–538.
Oh, D. H., Patton, A. J. (2017). Modeling dependence in high dimensions with factor copulas. Journal of Business and Economic Statistics, 35(1), 139–154.
Patton, A. J. (2006). Modelling asymmetric exchange rate dependence. International Economic Review, 47(2), 527–556.
Pflug, G. C., Römisch, W. (2007). Modeling, Measuring and Managing Risk. World Scientific Publishing.
Phelan, M. J. (1997). Probability and Statistics Applied to the Practice of Financial Risk Management: The Case of J.P. Morgan’s RiskMetrics™. Journal of Financial Services Research 12, 175–200.
Repullo, R., Suarez, J. (2013). The procyclical effects of bank capital regulation. Review of Financial Studies, 26(2), 452–490.
Rockafellar, R. T., Uryasev, S. (2000). Optimization of Conditional Value-at-Risk. Journal of Risk, 2(3), 21–41.
Rosenberg, J. V., Schuermann, T. (2006). A general approach to integrated risk management with skewed, fat-tailed risks. Journal of Financial Economics, 79(3), 569–614.
Sari, Y., Indrabudiman, A. (2024). The Role of Artificial Intelligence (AI) in Financial Risk Management. Formosa Journal of Sustainable Research, 3, 2073–2082.
Sklar, A. (1959). Fonctions de répartition à n dimensions et leurs marges. Publications de l’Institut de Statistique de l’Université de Paris, 8, 229–231.
Sortino, F. A., Van der Meer, R. (1991). Downside Risk: Capturing What’s at Stake in Investment Situations. Journal of Portfolio Management, 17(4), 27–31.
Tsanakas, A., Barnett, C. (2003). Risk measures and economic capital allocation. Insurance: Mathematics and Economics, 33(2), 239–252.
Vesna, B. A. (2021). Challenges of financial risk management: AI applications. Journal of Sustainable Business and Management Solutions in Emerging Economies, 26(3), 27–34.
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