We deliver and implement IT solutions, the most well known are PEAT-Corporate Investments (Dynamic Discounted Cash Flow for Capital Budgeting), Corporate Investments (Lease versus Buy), Enterprise Risk Management (ERM), Goals Analytics (Sales Force Automation), Healthcare Economics (HEAT and REJ), Oil and Gas (Oil Field Reserves, Oil Recovery Analysis, Well-Type Curves), Project Management (Cost and Schedule Risk), Public Sector Analysis (Knowledge Value Added), CMOL (Credit, Market, Operational, Liquidity), among others solutions. We also develop new IT solutions according to our clients’ needs, which are integrated to our consulting services and current products, using customized VBA modelling, code base SDK for C# .NET AND C++ as it appears in our Risk Simulator software and ROV Modeller software are available for OEM and SDK deployment into your own proprietary software tools. These models will be built to the client's specifications and used royalty-free throughout the corporation, providing a modelling standard for your firm. In addition, we can incorporate Risk Simulator, Real Options SLS or ESO Valuation Toolkit functionalities within your existing models, spreadsheets, or proprietary software.
Download our white paper on "Real Options Analysis in Layman's Terms."
FRAMING REAL OPTIONS FOR ANALYST • FRAMING ADVANCE QUANTITATIVE RISK ANALYTICS • DATA MODELLING IN RELIABILITY ENGINEERING AND RISK ANALYSIS • ASSIST IN DATA COLLECTION AND ASSUMPTIONS GATHERING • REVIEW EXISTING MODELS AND DEVELOP NEW ONES AS REQUIRED • PROVIDE LEAVE-BEHIND MODELS AND DOCUMENTATION • TRAINING YOUR ANALYSTS TO PERFORM THE ANALYSIS • CREATE USER-DEFINED CUSTOMIZED REAL OPTIONS MODELS AND SOFTWARE • INTEGRATE CORPORATE INVESTMENTS AND FINANCING STRATEGIES TO MANAGE PORTFOLIOS OF PROJECTS • ENTERPRISE RISK MANAGEMENT • CREDIT, MARKET, OPERATIONAL, AND LIQUIDITY (CMOL) • MULTI-CRITERIA DECISION ANALYSIS • EMPLOYEE STOCK OPTIONS VALUATION 2004 FAS 123
It is a powerful Excel add-in software used for applying simulation, forecasting, statistical analysis, decision trees, econometric analysis, and optimization in your existing Excel spreadsheet models. Risk Simulator was developed specifically to be extremely easy to use. For instance, running risk simulations is as simple as 1-2-3 (set an input, set an output, and run); and performing forecasting (i.e., Auto-econometrics, GARCH models, Stochastic Processes, Time-Series, Multivariate analysis, and so forth) relies on simple clicks in the software. Users are more focused on the analysis, reports, and numerical results.
It is standalone software with Excel add-in for analyzing and valuing real options, financial options, exotic options and employee stock options. With Real Options SLS, all inputs could be incorporated into custom spreadsheet models, allowing creating your own “à la carte” fully customized models, where all the mathematical equations and functions are visible. Consequently, option valuations and results are easier to understand and explain, especially, allowing users valuing to financial and real assets, quantifying flexibility, and mitigating uncertainty.
CMOL Risk is an IT solution to perform comprehensive analysis for banks on credit, market, operational, and liquidity risks. CMOL Risk takes all of our advanced risk and decision methodologies and incorporates them into a simple-to-use and integrated software application used by small and midsize banks. It simplifies the risk-based Basel II and Basel III requirements providing to managers, shareholder and stakeholder powerful analytics with user-friendly results and compliance reports.
Enterprise Risk Management (ERM) performs qualitative and quantitative enterprise risk management on firms’ risk registers and events. ROV ERM helps users to: 1) enter-save multiple risk registers to generate Key Risk Indicators (KRIs) by risk divisions or other taxonomies (i.e., locations, products, activities, process, and departments). 2) Assign risk to supervisors and managers. 3) Create risk dashboards, reports and diagrams. 4) Perform and run risk controls on KRIs. 6) Perform risk forecasts and sensitivity analysis on quantitative risk metrics. 7) Run risk simulations on risk metrics and obtain risk reports. 8) Encrypt data-files for high-level of security.
Project Management (Cost and Schedule Risk) allows users drawing project pathways (linear or complex-parallel tasks, and recombining projects). According to the latest project management requirements and methodologies, users can identify critical paths, model and estimate risks on cost and schedule through advance simulations and sensitivity analysis, determine probabilities of cost-schedule overruns, and compute cost-schedule buffers at various probabilities of completion.
PEAT Oil and Gas performs advanced analytics and models for oil and gas industry on analyzing the economics of oil field reserves, availability studies, project evaluations, oil recovery analysis based on uncertainty and risks analysis, as well as generating oil-well–specific type curves and economics. Therefore, PEAT Oil and Gas integrates all the capabilities of PEAT to perform an integrated risk management analysis on corporate investments and financing strategies (Dynamic Discounted Cash Flows).
Goal Analytics allows managers and practitioners estimating, developing and maintaining corporate sales goals. It contains a Web-based SaaS and desktop-based PEAT module, focused on the creation and use of goals for a more accurate and sustainable sales performance (sales forecasting, goal deviations, probability of hitting corporate revenues, ROI, sales pipeline analysis, and other sales-based metrics analysis).
It allows decision makers valuing employee stock options (ESO) and their expenses associated using the same software the Financial Accounting Standards Board (FASB) uses to generate its FAS 123R examples and recommendations. ESO helps to combine thousands of assumptions and inputs to compute the fair value per option; for example: share options granted, employees granted options, expected forfeitures per year, share price at the grant date, exercise price, contractual terms (CT), interest rate, and expected volatility, and so forth.
ROV Healthcare Economics (HEAT and REJ) is a technology provided by OSL Risk Management in a joint venture with Real Options Valuation Inc. to run economics and financial analysis on healthcare strategies employer-sponsored healthcare, including insurance companies and public funding approaches
ROV DASHBOARDs help companies to create and set companies’ reports, charts and tables that are highly intuitive to monitor businesses and support the decision-making process. Dashboards are protected by login and password encryption using a 2048 bit RSA encryption (more powerful and secure than military-strength protection), and implemented via consulting projects on a corporate server with multiple users as a standalone software application on a desktop computer. There are no trial versions because it requires consulting and training before implementation, and the typical implementation is on a server-based environment.
Project Economics Analysis Tool (PEAT) software was developed to perform a comprehensive Integrated Risk Management analysis on capital investments, discounted cash flow, cost and schedule risk project management, oil and gas applications, healthcare analytics, and enterprise risk management. This tool will help you to set up a series of projects or capital investment options, model their cash flows, simulate their risks, run advanced risk simulations...
The ROV QuanData Modeler (QDM) is used for analytical data crunching and modelling linked to large datasets at extreme high speeds. This software comes in three separate modules: 1) ROV Quantitative Data Miner (QDM) with about 150 methods for running Data Modelling and Analytics, Forecasting, Simulation, Data Computation, and Charts. 2) ROV Optimizer for running fast static, dynamic, and stochastic optimization with a large number of decision variables and restrictions. 3) ROV Valuator, with over 600 closed-form, partial differential, lattice and analytical models and mathematical functions.