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Calmar Ratio

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• Wikipedia: Calmar Ratio

Bibliography

• AUSTRALIA, S.G.M.D., et al., 1996. Monthly Report. [not cited] (0/year)
• BOYARSHINOV, V., 2005. MACHINE LEARNING IN COMPUTATIONAL FINANCE. [not cited] (0/year)
• BOYARSHINOV, V. and M. MAGDON-ISMAIL, Efficient Computation of Optimal Trading Strategies. cs.rpi.edu. [not cited] (?/year)
• CARRETTA, A. and G. MATTAROCCI, The performance evaluation of hedge funds: a comparison of different approaches. fma.org. [not cited] (?/year)
• CARRETTA, A. and G. MATTAROCCI, 2005. The performance evaluation of hedge funds: a comparison of different approaches using European data. [not cited] (0/year)
• CHAPADOS, N. and Y. BENGIO, 2006. The K Best-Paths Approach to Approximate Dynamic Programming with Application to Portfolio …. LECTURE NOTES IN COMPUTER SCIENCE. [not cited] (0/year)
• CHAPADOS, N. and Y. BENGIO, 2007. Noisy K Best-Paths for Approximate Dynamic Programming with Application to Portfolio Optimization. JOURNAL OF COMPUTERS. [not cited] (0/year)
• DER, Z., TEIL III. Springer. [not cited] (?/year)
• DUNIS, C.L. and J. MIAO, Volatility Filters for Asset Management: An Application to Managed Futures. cwis.jmu.ac.uk. [not cited] (?/year)
• DUNIS, C.L., J. LAWS and B. EVANS, Modelling and Trading The Soybean-Oil Crush Spread with Recurrent and Higher Order Networks: A …. cwis.jmu.ac.uk. [not cited] (?/year)
• DUNIS, C.L., J. LAWS and B. EVANS, 2006. Modelling and trading the gasoline crack spread: A non-linear story. [not cited] (0/year)
• DUNIS, C.L., J. LAWS and B. EVANS, Trading Futures Spread Portfolios: Applications of Higher Order and Recurrent Networks. greqam.univ-mrs.fr. [not cited] (?/year)
• ELING, M., 2006. Performance measurement of hedge funds using data envelopment analysis. Financial Markets and Portfolio Management. [Cited by 4] (3.14/year)
• ELING, M., 2006. Analyse der Zeit-und Marktphasenstabilit?t von Hedgefonds-Renditen. Finanz Betrieb. [Cited by 1] (0.79/year)
• ELING, M. and F. SCHUHMACHER, Performance Measurement of Hedge Fund Indices?Does the Measure Matter?. Springer. [not cited] (?/year)
• ELING, M. and F. SCHUHMACHER, 2006. Does the Choice of Performance Measure Influence the Evaluation of Hedge Funds. Journal of Banking & Finance. [Cited by 2] (1.57/year)
• ELING, M. and F. SCHUHMACHER, Does the choice of the performance measure have an influence on the evaluation of hedge funds?. symposium.fbv.uni-karlsruhe.de. [Cited by 1] (?/year)
• ELING, M. and F. SCHUHMACHER, DIE Beurteilung VON Hedgefonds-Indizes?. unisg.ch. [not cited] (?/year)
• FUNDS, O.F.H., Martin Eling Frank Schuhmacher. alexandria.unisg.ch. [not cited] (?/year)
• GREENBERG, N.R., Risk as measured by the Greenberg-Silverstein Risk Assessment. agilefunds.com. [not cited] (?/year)
• GUPTA, B. and M. CHATIRAS, 2003. The interdependence of managed futures risk measures. Center for International Securities and Derivatives Markets, …. [Cited by 2] (0.47/year)
• GUSTAFSSON, J. and C.J. HEGERIN, Extreme Value Strategies in the FX-market. biblioteket.ehl.lu.se. [not cited] (?/year)
• G?HIN, W., 2004. A Survey of the Literature on Hedge Fund Performance. [Cited by 3] (0.92/year)
• HARMANTZIS, F.C. and L. MIAO, Empirical Study of Fat-Tails in Maximum Drawdown: The Stable Paretian Modelling Approach. intelligenthedgefundinvesting.com. [Cited by 2] (?/year)
• KAISER, D.G. and K. KISLING, Absolut report. competence-site.de. [not cited] (?/year)
• LIPINSKI, P. and J.J. KORCZAK, 2004. Performance Measures in an Evolutionary Stock Trading Expert System. LECTURE NOTES IN COMPUTER SCIENCE. [Cited by 1] (0.31/year)
• LOGIN, A., et al., 2006. Volatility filters for asset management: An application to managed futures. Journal of Asset Management. [not cited] (0/year)
• MAGDON-ISMAIL, M. and A. ATIYA, 2004. Maximum drawdown. Risk. [Cited by 5] (1.53/year)
• MAGDON-ISMAIL, M., A.F. ATIYA and E. GIZA, An Analysis of the Maximum Drawdown Risk Measure. cs.rpi.edu. [Cited by 1] (?/year)
• MAILLET, B. and P. ROUSSET, 2003. Classifying Hedge Funds with Kohonen Maps: A First Attempt. Computational Economics. Series in Advances in Computational …. [Cited by 6] (1.40/year)
• PARK, S.H. and L. STREET, Trend Following: Performance, Risk and Correlation. barclaygrp.com. [not cited] (?/year)
• PASSOW, A., Omega Portfolio Construction with Johnson. fame.ch. [not cited] (?/year)
• PEDERSEN, C.S. and T. RUDHOLM-ALFVIN, 2003. Selecting a Risk-Adjusted Shareholder Performance Measure. Journal of Asset Management. [Cited by 5] (1.17/year)
• PERFORMANCE, H., Down Dev.(4.0%) Calmar Ratio. Annualised Return VAMI/Rate of Returns 0. [not cited] (?/year)
• PERIOD, A.H., et al., Programme S: Global Quantitative. invesdex.com. [not cited] (?/year)
• PETRONI, F. and G. ROTUNDO, 2007. EFFECTIVENESS OF MEASURES OF PERFORMANCE DURING SPECULATIVE BUBBLES. eprint arXiv: 0709.2423. [not cited] (0/year)
• RECEIPTS, A.D., risk. COPYRIGHTED MATERIAL. [not cited] (?/year)
• RPI, M.M.I., et al., An Analysis of the Maximum Drawdown Risk Measure. cs.rpi.edu. [not cited] (?/year)
• SCHACHTER, B., Intelligent Hedge Fund Investing: An Introduction. db.riskwaters.com. [not cited] (?/year)
• VON, H., HfB-Working Paper Series. hfb.de. [not cited] (?/year)
• YOUNG, T.W., 1991. Calmar Ratio: A Smoother Tool. Futures. [Cited by 3] (0.18/year)