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» Latin America
» North America
» Decision-Making & Quantitative Risk Analysis using the DecisionTools Suite, Part I
» Project Risk Assesment Using @RISK for Project
5-Part Web Training from our Asia-Pacific Office
» Part 2
» Part 3
» Part 4
» Part 5
| Announcing @RISK 5.5
and DecisionTools Suite 5.5!
Building on the worldwide success of @RISK 5.0 and DecisionTools Suite 5.0, Palisade is pleased to announce the version 5.5 release of these best-selling risk and decision analysis tools.
Current @RISK 5.0 users will benefit from faster simulations as well as new scatter plots from scenario analyses, a freehand distribution artist, and an Excel-style Insert Function dialog and graphs. @RISK 5.5 brings a range of new features to improve your analysis, save time, and encourage systematic adoption of risk analysis across your organization.
@RISK 5.5 is the best Monte Carlo simulation package available today, blending high-powered analysis with highly intuitive ease-of-use. The bottom line for you is a better understanding of what could happen and how likely it is to happen.
Interface Improvements Quickly see distribution graphs and add @RISK functions to your model with a new Excel-style Insert Function command. Perform common tasks faster, in fewer steps.
Translated Versions @RISK 5.5 and RISKOptimizer have been fully translated into Spanish, Portuguese, French, German, and Japanese for users worldwide.
Distribution Artist Use the mouse to draw your own custom freehand curves, histograms, or discrete probability graphs that can be used to create @RISK distributions. Histogram bars and general curves may be adjusted after drawing, and may be fitted to probability distributions. This is useful for graphically assessing probabilities and then creating probability distributions from the graph.
Scenario Scatter Plots New scatter plots from scenario analysis highlight simulation input values for specified scenario outcomes.
Better Simulation Archiving The @RISK Library lets you store simulation results to be used as inputs for subsequent simulations, a great benefit for portfolio optimization and multi-stage applications.
New Graph Types Density and cumulative graphs may now be combined on the same graph for comparison. Tornado graphs and scatter plots are now available for scenario analysis, giving a better understanding of the interaction of multiple inputs on a result.
Graph Improvements A new zoom utility lets you focus on particular graph regions. Scatter plot X-Y delimiters show probabilities by quadrant. Better international support helps non-US users.
Date Enhancements Dates are fully integrated into distributions, graphs and reports for improved time and scheduling models.
Correlation Improvements Fix or assign weights to correlation elements to more accurately model relationships.
New Distribution Types Combine two distributions using the new RiskSplice function. Define uncertainty using new Johnson distribution types.
Upgrade Now and Save $1800 — Buy New from $1195
Get Financial Models I and Financial Models II
BUY @RISK 5.5
@RISK 5.5 Industrial — $1995
BUY DecisionTools Suite 5.5
to DecisionTools Suite 5.5 Industrial: $1195 SAVE $1800
DecisionTools Suite Industrial — $2995
All prices include a full year of maintenance.
Version 4.5 or earlier users, contact %%salesrep real email%% for pricing.
All @RISK 5.5 or DecisionTools Suite 5.5 purchases made by July 31, 2009 will be shipped with copies of Financial Models Using Simulation and Optimization I, and II by Wayne Winston and all accompanying example models. These books have been updated in new editions and have become the references for business and financial modeling under uncertainty. Packed with real-life example spreadsheets, they come with step-by-step instructions on a wide range of topics in finance and business. This offer ends July 31.
%%salesrep phone%% | %%salesrep real email%%
Financial Statement Forecasting
In this example, a company has a fairly healthy forecasted cash flow for 2009, but also aims to reduce its long-term debt in 2009 to $70,000 from $97,000 in 2008. The company is forecasting that in the base case its financial position will be sufficient to do this. However, it wishes to analyze the probability that a short-term financing facility will be needed. The short-term debt (which is zero in the base case) is therefore set as an @RISK output, and the probability that it is non-zero can be seen both from the Results Summary window, and also from the RiskTargetD function built directly into the model sheet.
This model shows how one might answer these questions through simulation: It is assumed that each item's actual cost will be within a min-max range, and uses Pert distributions to describe the possible costs of each item in practice.
The user may change any of the light blue colored cells, which are the model's inputs. The answers to the key questions can be found by appropriate interrogation of the output in the Results Summary window. Alternatively, as shown here, the results can in fact be built into the model automatically, using the @RISK Statistics functions.
Event and Operational Risks
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