{"id":25081,"date":"2019-11-14T10:06:04","date_gmt":"2019-11-14T15:06:04","guid":{"rendered":"https:\/\/ibkrcampus.com\/?p=25081"},"modified":"2024-05-20T16:14:20","modified_gmt":"2024-05-20T20:14:20","slug":"what-is-the-best-methodology-measuring-drawdown-risk","status":"publish","type":"post","link":"https:\/\/www.interactivebrokers.com\/campus\/ibkr-quant-news\/what-is-the-best-methodology-measuring-drawdown-risk\/","title":{"rendered":"What’s The Best Methodology For Measuring Drawdown Risk?"},"content":{"rendered":"\n

The possibilities for quantifying risk in portfolio analytics seems to be limited only by the imagination of researchers. Indeed, you can find dictionaries that wade through an ever-lengthening list of indicators. But any short list of robust metrics surely deserves to include drawdown,<\/a> which offers a powerful combination of relevance and simplicity. A new research paper reminds, however, that drawdown comes in several flavors and so investors need to think carefully when deploying this metric in the quest to identify genuinely skillful portfolio results.<\/p>\n\n\n\n

\u201cOver the years, a diverse range of drawdown measures has evolved to guide asset management,\u201d advise the authors of \u201cDrawdown Measures: Are They All the Same?\u201d<\/a> , a recent working paper by Olaf Korn (University of Goettingen) and two co-authors. They go on to advise in the study\u2019s abstract:<\/p>\n\n\n\n

\n

Conceptual differences between drawdown measures translate into different rankings of portfolios, which we document in a simulation study. Our research also shows that all drawdown measures can (to some degree) discriminate between skillful and unskillful portfolio managers, but differ in terms of accuracy. However, the ability to detect skill does not easily improve performance ratios where drawdown measures serve as the denominator. In conclusion, our study shows that the choice of an adequate drawdown measure is vital to the assessment of investments because different measures emphasize different aspects of risk.<\/p>\n<\/blockquote>\n\n\n\n

For the casual investor, the notion that there\u2019s more than one measure of drawdown may be surprising. After all, drawdown is often described as a simple peak-to-trough calculation. For example, here\u2019s how the US stock market\u2019s drawdown history stacks up since 2005 via the S&P 500.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

Visit The Capital Spectator to read the full article and download supplemental code:
<\/em>https:\/\/www.capitalspectator.com\/whats-the-best-methodology-for-measuring-drawdown-risk\/<\/em><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

The possibilities for quantifying risk in portfolio analytics seems to be limited only by the imagination of researchers. Indeed, you can find dictionaries that wade through an ever-lengthening list of indicators. But any short list of robust metrics surely deserves to include drawdown, which offers a powerful combination of relevance and simplicity. <\/p>\n","protected":false},"author":186,"featured_media":25082,"comment_status":"closed","ping_status":"open","sticky":true,"template":"","format":"standard","meta":{"_acf_changed":true,"footnotes":""},"categories":[339,343,338,341,352,344,342],"tags":[851,4923,4922,494,4921],"contributors-categories":[13685],"class_list":{"0":"post-25081","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-data-science","8":"category-programing-languages","9":"category-ibkr-quant-news","10":"category-quant-development","11":"category-quant-north-america","12":"category-quant-regions","13":"category-r-development","14":"tag-algo-trading","15":"tag-computational-finance","16":"tag-econometrics","17":"tag-quant","18":"tag-quantitative-finance","19":"contributors-categories-the-capital-spectator"},"pp_statuses_selecting_workflow":false,"pp_workflow_action":"current","pp_status_selection":"publish","acf":[],"yoast_head":"\nWhat’s The Best 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