MMC Capital P/L : Investment Program Need help with terms? Snapshot Strategy Charts Statistics & Ratios Performance Tables Badges Show All Year-to-Date N / A Dec Performance 0.00% Min Investment $ 5,000k Mgmt. Fee 0% Perf. Fee 0% Annualized Vol 9.03% Sharpe (RFR=1%) 0.22 CAROR 2.58% Assets $ 0k Worst DD -10.28 S&P Correlation -0.03 Add Alert Add to Blender Add to Portfolio Add to Watchlist Print Page Growth of 1,000 - VAMI Monthly Performance Export Data Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec YTD DD Past performance is not necessarily indicative of future results. The risk of loss in trading commodity futures, options, and foreign exchange ("forex") is substantial. Period Returns Program / Index Dec Qtr YTD 1yr 3yr 5yr 10yr Since10/2005 Investment Program 0.00 - - - - - - 11.45 S&P 500 1.78 - - - - - - 236.32 +/- S&P 500 -1.78 - - - - - - -224.87 Strategy Description Summary-Mark McCabe is the Principal of MMC. Mark has over 20 years experience in institutional global banking. Most recently, he managed the largest risk portfolio within the JP Morgan Chase Commodity Risk Management Group, a globally-based group within the Bank, with headquarters in New... Read More Account & Fees Type Managed Account Minimum Investment $ 5,000k Trading Level Incremental Increase $ 0k CTA Max Funding Factor Management Fee 0% Performance Fee 0% Average Commission $0 Available to US Investors Request Information Subscriptions High Water Mark No Subscription Frequency Redemption Frequency Investor Requirements Lock-up Period 0 Trading Trading Frequency 0 RT/YR/$M Avg. Margin-to-Equity 0% Targeted Worst DD Worst Peak-to-Trough 0% Sector Focus Not Specified Holding Periods Over 12 Months 0% 4-12 Months 0% 1-3 Months 0% 1-30 Days Intraday 0% Decision-Making Discretionary 0% Systematic 0% Strategy Summary-Mark McCabe is the Principal of MMC. Mark has over 20 years experience in institutional global banking. Most recently, he managed the largest risk portfolio within the JP Morgan Chase Commodity Risk Management Group, a globally-based group within the Bank, with headquarters in New York. Since then, Mark has focused his efforts on the development of his business within the hedge funds industry. MMC is supported by a team that provide research and development, programming, trading, execution, administration and marketing expertise. Their profiles are detailed in the MMC AIMA Due Diligence Questionnaire. Investment Methodology MMC engages a short term, systematic, statistically validated approach in its investment program. Underlying this approach is an intuitive understanding of market behavior over many years. Research shows that financial and commodity markets display non-random price behavior with regard to the size of price movements, that is, volatility. Our edge lies in the ability to extract this identifiable alpha via the employment of a systematic and rigidly disciplined risk management model to our investment process. The approach is applied across a broad range of market complexes. This allows for diversification across asset classes and reduces exposure to any single complex. The program has yielded positive returns in trend-less markets as it has the ability to participate in sentiment reversals that have generally been shown to impact negatively on medium and long- term managers. The benefit of inclusion of a diverse range of market complexes has been exhibited in actual investment returns given the very recent outlier volatility in commodity markets, in particular, precious and base metals. The investment approach with respect to entry, exit and risk management is consistent across all markets. That is, the exact same parameters used in one market, is used across all markets. This ensures trading success is not due to any form of optimization. The MMC approach differentiates itself from its peers in its approach to volatility. Typically, most volatility, momentum driven breakout strategies employ volatility-adaptive algorithms across the open to close risk process. This is not our approach. At the 'core' of our program lie volatility-adaptive algorithms. These algorithms apply to all entries and a percentage of exit trades. Research over years of daily and intra-day data streams, as well as actual trading performance, empirically demonstrate that the time lag exhibited in pure volatility-based algorithms applied to trade exit, does not allow for a consistent application of the risk process across the entire portfolio. Hence, the identifiable alpha cannot be extracted via a consistently applied risk process in pure volatility-based programs. Investment Program The momentum-based strategy employs a systematic approach, thereby removing inevitable non-statistical biases as a result of human emotion. The program invests across 6 market complexes, incorporating 17 markets. All are traded on U.S. based exchanges. Within each complex, we focus on liquidity in the process of alpha extraction and capacity management. In order to balance draw down against targeted returns across the portfolio, the same 0.07% risk per trade is applied. Full directional trades are allocated 0.14% risk. This low risk allocation is key to maintaining robustness in the risk-adjusted returns of the program. The investment process incorporates 3 modules that deal with entry, exit and risk management. Within this overall process are 6 filters that dynamically work together and effectively operate as the portfolio manager of the program. The entry algorithms determine how much to trade, when to trade and when not to trade. Each trade is assigned a pre-determined stop loss and profit targets. The strategy has a gain-to-loss ratio of approximately 4:1. Look back period is 4 to 7 days. In addition to pre-determined profit targets, the program also employs an SAR (stop and reverse) algorithm, which is dynamically calculated on a daily basis. Another algorithm allows counter trend risk execution in the investment process. This is important in the mitigation of slippage given the short-term nature of the program and allows greater investment capacity to the program. Compare to: {{result.name}} {{result.description}} Index: Chart Type: AUM & Cumulative Returns Cumulative Returns Distribution Rolling Past performance is not necessarily indicative of future results. The risk of loss in trading commodity futures, options, and foreign exchange ("forex") is substantial. Compare to: Index: Select an Index Hang Seng Russell 2000 DAX FTSE 100 S&P 500 Index 10-Year Note VIX S&P 500 Monthly Annual Reward Average RoR: Max Gain: Gain Frequency: Average Gain: Gain Deviation: Risk Standard Deviation: Worst Loss: Loss Frequency: Average Loss: Loss Deviation: Reward/Risk Sharpe Ratio: (RF=1%) Skewness: Kurtosis: Reward Compound RoR: Average RoR: Max Gain: Gain Frequency: Average Gain: Gain Deviation: Risk Standard Deviation: Worst Loss: Loss Frequency: Average Loss: Loss Deviation: Reward/Risk Sharpe Ratio: (RF=1%) Skewness: Kurtosis: Past performance is not necessarily indicative of future results. The risk of loss in trading commodity futures, options, and foreign exchange ("forex") is substantial. Note: Figures shown in the Monthly column are the greatest figures (or worst for losses/drawdowns) for any particular month. The Annual figures are the greatest for any calendar year. Drawdown Report Depth Length (Mos.) Recovery (Mos.) Peak Valley -10.28 10 - 7/1/2006 5/1/2007 -4.72 1 2 4/1/2006 5/1/2006 -2.64 1 1 1/1/2006 2/1/2006 -2.38 2 2 1/1/0001 11/1/2005 Show More Consecutive Gains Run-up Length (Mos.) Start End 19.96 2 3/1/2006 4/1/2006 7.74 6 9/1/2007 2/1/2008 5.94 2 6/1/2006 7/1/2006 3.62 2 12/1/2005 1/1/2006 3.47 1 10/1/2006 10/1/2006 2.09 2 6/1/2007 7/1/2007 1.19 2 9/1/2008 10/1/2008 0.64 2 6/1/2008 7/1/2008 0.07 2 3/1/2007 4/1/2007 0.06 1 2/1/2009 2/1/2009 Show More Consecutive Losses Run-up Length (Mos.) Start End -7.52 4 11/1/2006 2/1/2007 -5.94 2 8/1/2006 9/1/2006 -4.72 1 5/1/2006 5/1/2006 -3.60 3 3/1/2008 5/1/2008 -2.64 1 2/1/2006 2/1/2006 -2.38 2 10/1/2005 11/1/2005 -1.81 3 11/1/2008 1/1/2009 -1.01 1 8/1/2007 8/1/2007 -0.82 1 8/1/2008 8/1/2008 -0.39 1 5/1/2007 5/1/2007 Show More Time Windows Analysis 1 Month3 Month6 Month12 Month18 Month2 Year3 Year Number of Periods51.0049.0046.0040.0034.0028.0016.00 Percent Profitable43.1444.9045.6547.5061.7671.4350.00 Average Period Return0.250.801.701.411.943.743.65 Average Gain1.983.706.726.524.756.4110.78 Average Loss-1.64-2.22-3.14-3.21-2.60-2.91-3.48 Best Period11.2916.7918.6916.169.7918.2915.20 Worst Period-4.72-7.45-9.93-9.08-5.70-5.22-6.55 Standard Deviation2.614.286.796.074.426.498.10 Gain Standard Deviation2.784.566.664.272.985.704.25 Loss Standard Deviation1.562.113.042.891.681.792.52 Sharpe Ratio (1%)0.060.130.180.070.100.270.08 Average Gain / Average Loss1.211.672.142.031.832.203.09 Profit / Loss Ratio1.401.932.251.842.955.493.09 Downside Deviation (10%)1.572.564.326.397.128.8514.43 Downside Deviation (5%)1.402.003.103.672.752.834.90 Downside Deviation (0%)1.361.882.853.101.891.802.98 Sortino Ratio (10%)-0.10-0.17-0.18-0.56-0.79-0.74-0.84 Sortino Ratio (5%)0.120.280.390.110.160.610.13 Sortino Ratio (0%)0.180.430.600.461.022.081.23 Top Performer Badges Index Award Type Rank Performance Period Past performance is not necessarily indicative of future results. The risk of loss in trading commodity futures, options, and foreign exchange ("forex") is substantial. x {{title}} x {{title}} Add Cancel