RT Journal Article SR Electronic T1 Fat-Tailed Models for Risk Estimation JF The Journal of Portfolio Management FD Institutional Investor Journals SP 107 OP 117 DO 10.3905/jpm.2011.37.2.107 VO 37 IS 2 A1 Stoyan V. Stoyanov A1 Svetlozar T. Rachev A1 Boryana Racheva-Yotova A1 Frank J. Fabozzi YR 2011 UL https://pm-research.com/content/37/2/107.abstract AB In the post-crisis era, financial institutions seem to be more aware of the risks posed by extreme events. Even though there are attempts to adapt methodologies drawing from the vast academic literature on the topic, there is also skepticism that fat-tailed models are needed. In this article, the authors address the common criticism and discuss three popular methods for extreme risk modeling based on full distribution modeling and extreme value theory.TOPICS: Tail risks, factor-based models, statistical methods