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            Accelerated 
            Convergence Expert™
  
            Monte Carlo simulation is the method of choice for pricing MBS 
            (passthroughs, CMOs and REMICS) and other complex derivative 
            products in fixed income, equity, commodity, and other capital 
            markets. It is easy to implement for European-type path dependent 
            derivatives, including Asians, lookbacks, barriers, rainbows, 
            quantos, IAS, etc. and yet flexible enough to be modified for 
            American-type options. It is also a fundamental tool for risk 
            management. 
            Despite its versatility, the key drawback of Monte Carlo 
            simulation is that it can be agonizingly slow in convergence. This 
            can become a bottleneck if the user wants more accuracy for a large 
            book of complex instruments. Mark to market quickly and accurately 
            can be a daunting task. In a rapidly changing 
            global market, a trader could lose many deals to competitors because 
            of either the long delay in trying to obtain more accurate pricing, 
            or quick but noncompetitive price quotes due to insufficient 
            accuracy and confidence. The problem becomes especially acute for 
            the more sophisticated users who need to calibrate models, measure 
            sensitivities and convexities, and hedge portfolios of derivatives. 
            To evaluate the exposure of a large portfolios with thousands of 
            instruments, risk managers also feel the time constrain when they 
            need to run simulation of thousands of scenarios. 
             An alternative to Monte Carlo simulation has been investigated in 
            the last three decades, which replaces pseudo-random sequences by 
            low discrepancy sequences (LDS) for simulation. Because of the 
            significant bias of the currently known LDS, so far Monte Carlo 
            simulation with various variance reduction techniques is still used 
            for production, with mixed results. 
             Today mathematicians at AAI have finally broken the long standing 
            barrier. Its proprietary LDS and its proprietary methodology has 
            completely resolved the Monte Carlo simulation problem in financial 
            applications. The tests of ACE on a broad range of derivatives in 
            equity, commodity, and fixed income, including CMOs with market data 
            and production models have shown a increasing of convergence speed 
            up to tens of thousands times faster than the Monte Carlo simulation 
            with usual variance reduction techniques, as well as the currently 
            known LDS.  
             The discovery is the culmination of intense and focused world 
            class research efforts by AAI mathematicians. AAI has made its 
            discovery available to the financial industry, as the core of 
            Accelerated Convergence Expert™ (ACE™). ACE can provide you a 
            decisive competitive edge in today's fast moving market. 
             ACE for Risk Management 
             AAL (Advanced Analytics Library), 
             
   
              
            Advanced Analytics, Inc., AAI, the AAI logo, ACE, 
            are registered trademarks or trademarks of Advanced Analytics, Inc., 
            in the United States and worldwide. Copyright(C)1996-2000 Advanced 
            Analytics, Inc. All rights reserved. 
         
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