Risk Management Labs. Advanced Analytics Software and Technologies for Education and Research

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1 Risk Management Labs Advanced Analytics Software and Technologies for Education and Research OSL Risk Management, in a joint corporate partnership with Real Option Valuation Inc., brings the wide-ranging capabilities of Risk Management technologies to universities and research centres. Transform your classroom, computer training centre or research room into a Risk Management Lab with advanced analytics software, and provide your students, lecturers, tutors, and researchers with the same tools relied on by risk management professionals and practitioners worldwide. Benefits Scholars, students, and practitioners can develop their skills through access to industry-leading risk management analytics, software and technologies, managed by global companies. OSL Risk Management is dedicated to closing the gap between theory and practices. Our Risk Management Labs utilise software and technologies for academic purposes across multiple disciplines: Accounting, Business, Economics, Engineering, Entrepreneurship, Finance, Innovation, Logistics, Management, Marketing, Operational Research, Statistics, and more. The result is highly effective tools for the modelling and analysis of complex decision-making systems, including reliability, cybersecurity, technology, engineering, innovations, logistics, banking processes and supply chain. OSL Risk Management offers analytics, solutions, and expertise to businesses worldwide, helping clients to make informed decisions in highly complex or uncertain environments.

2 Leading Products Available for Risk Management Labs Powerful Excel add-in software used for applying simulation, forecasting, statistical analysis, decision trees, econometric analysis and optimisation in your existing spreadsheet models. Risk Simulator was developed specifically to be extremely easy to use. For instance, running risk simulations is as simple as (set an input, set an output, and run); and performing forecasting (e.g. auto-econometrics, GARCH models, stochastic processes, time-series, multivariate analysis) relies on simple clicks in the software. Users can effectively focus on analysis, reports and numerical results. Standalone software with Excel add-in for analysing and valuing real options, financial options, exotic options and employee stock options. All inputs could be incorporated into custom spreadsheet models, allowing the creation of your own à la carte fully customised models, where all the mathematical equations and functions are visible. Consequently, option valuations and results are easier to understand and explain, allowing users to value financial and real assets, thereby quantifying flexibility and mitigating uncertainty. An IT solution developed to perform a comprehensive Integrated Risk Management analysis on corporate investments and financing strategies (dynamic discounted cash flow). Simultaneously, the user can introduce multiple decision makers assumptions, auto-generating cash flow statements of multiple projects, obtaining KPIs and financial metrics (NPV, IRR, MIRR, PP, DPP, ROI), and running risk simulations, static tornado and sensitivity analysis (static and dynamic). PEAT aims to compare multiple projects within a portfolio, perform forecasts of future revenues and cash flow, draw multiple strategic investment pathways and real options, model and value these strategic paths, compute and optimise the best projects within a portfolio subject to multiple constraints and restrictions, view results in management dashboards, encrypt your model and data, and auto-generate analysis reports. An IT solution developed to perform a comprehensive analysis for banks based on Basel II and Basel III requirements on credit, market, operational, and liquidity risks. CMOL Risk takes all of our advanced risk and decision analytical methodologies and incorporates them into a simple to use and step-by-step integrated software application suite that is used by small to midsize banks. It simplifies the risk-based Basel requirements and empowers a bank s stakeholders and decision makers with insights from powerful analytics, using simple to interpret results and reports. A unique technology that comprises over 1100 advanced analytical models, functions and tools, and about 300 analytical model Excel/SLS templates and example spreadsheets. These cover the areas of risk analysis, Six Sigma valuation, decision analysis, simulation, forecasting, Basel II and Basel III risk analysis, debt analysis, credit and default risk, among other statistical models. Allows practitioners to draw project pathways (from simple linear project tasks, to complex-parallel and recombining projects). According to the latest project management requirements, users can enter the cost and schedule estimates as well as their spreads, then run a risk simulation on the model to determine the probability of cost schedule overruns, cost schedule buffers at various probabilities of completion, critical path identification, and sensitivity analysis.

3 Performs advanced analytics and models for oil and gas industry by analysing the economics of oil field reserves, available studies, project evaluations, oil recovery analysis based on uncertainty and risks analysis, as well as generating oil-well specific type curves and economics. An applied statistics toolkit that comprises over 170 business intelligence and business statistics methods, including: charts (2D/3D Area/Bar/Line/Point, Box-Whisker, Pareto, Q-Q, Scatter); distributional fitting (Akaike, Chi-Square, Kolmogorov-Smirnov, Kuiper s Statistic, among others); generalised linear models (Logit, Probit, and Tobit); data diagnostics (autocorrelation, ACF/PACF, heteroscedasticity, descriptive statistics); forecast prediction (ARIMA, Fuzzy Logic, GARCH models), econometric analysis, J/S curves, neural network, time-series, ANOVA, multivariate analysis, and so forth. Used for analytical data crunching and modelling. It runs in the Windows environment and can be used to link to databases to download and run large datasets at extremely high speeds. This software comes in three separate modules: 1) ROV Quantitative Data Miner (QDM) with about 150 methods for running Data Modelling, Analytics, Forecasting, Simulation, Data Computation, and Charts. 2) ROV Optimiser for running static, dynamic, and stochastic optimisation at high speeds, including 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. Performs traditional qualitative Enterprise Risk Management with risk registers but also enhances the analysis with more quantitative analysis. This technology comes with an online web version as well as a module within PEAT, where users can: 1) Enter and save multiple risk events and registers to generate Key Risk Indicators (KRI) by risk divisions and risk taxonomy (geographic, operations, products, activity or process, and department); 2) Assign risk items to different Risk Managers by performing risk mapping (e.g. categories and divisions); 3) Create Risk Dashboards of the results; 4) Customise risk engagements; 5) Draw risk diagrams; 6) Perform and run risk controls on the defined KRIs; 7) Perform risk forecasts; 8) Perform risk sensitivity on KRIs and risk scenarios on quantitative risk metrics; 9) Run risk simulations on risk metrics and quick risk reports; 10) Encrypt your data and files for the purposes of risk security. Allows managers and analysts 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 that help making goalsetting more accurate and sustainable by any company seeking to improve its sales performance (sales goal forecasting, probability of hitting corporate revenues, ROI, sales pipeline analysis, and other salesbased metrics analysis). Models government and non-profit organisations value, value to society, or intangible value via Knowledge Value Added (KVA), utilising market comparables to identify and monetise such projects and assets. Run a lease versus buy analysis, which compares capital and operating leases with interest payments and tax advantages, value lease contracts from the point of view of the lessee and lessor, and generate the complete cash flow analysis to obtain the net advantage to leasing under risky and uncertain environments. Please contact support@oslriskmanagement.com to book your 10-day trial license.

4 Recommended Reading List Modeling Risk: Applying Monte Carlo Simulation, Real Options Analysis, Stochastic Forecasting, and Optimization PEAT: Project Economics Analysis Tool Real Options Analysis: Tools and Techniques for Valuing Strategic Investments & Decisions, 2nd Edition Credit Engineering for Bankers (With Morton Glantz) Certified Quantitative Risk Management (CQRM): Readings Advanced Analytical Models: Over 800 Models and 300 Applications from Basel II Accords to Wall Street and Beyond Certified Quantitative Risk Management (CQRM): Case Studies Valuing Employee Stock Options: Under 2004 FAS 123 The Banker s Handbook on Credit Risk (With Morton Glantz) Modeling Risk: Applying Monte Carlo Risk Simulation, Strategic Real Options, Stochastic Forecasting, Portfolio Optimization, 2nd Ed.

5 The following texts also complement our Risk Management Labs. Real Options Analysis: Tools and Techniques for Valuing Strategic Investments & Decisions, 3rd Edition CQRM Training ROV Press Modeling Risk: Applying Monte Carlo Risk Simulation, Strategic Real Options Analysis, Stochastic Forecasting, and Portfolio Optimization, 3rd Edition Advanced Analytical Models in ROV Modeling Toolkit: Over 800 Models and 300 Applications from the Basel Accords to Wall Street and Beyond Risk Simulator Guide Applied Risk Analysis: Moving Beyond Uncertainty Real Options Analysis Course: Business Cases and Software Applications Real Options Analysis: Tools and Techniques for Valuing Strategic Investments & Decisions Real Options SLS Guide Managing Your Finances God s Way

6 Knowledge & Expertise Our risk management products have been implemented by hundreds of multinational firms, including 3M, Accenture, Airbus, AIG, Arena Pharmaceutical, AT&T, Bayer, BOC Gases, BP, British Energy PLC, Cap Gemini Ernst & Young, ChevronTexaco, Conoco, GE Capital, GE Power Systems, GE Money, Glaxo SmithKline, Goodyear, Halliburton Energy Services, Hewlett Packard, Ingersoll-Rand, Johnson & Johnson, Lloyds Bank TSB, Motorola, Pfizer, Phillips 66 Company, Shell International Holdings Limited, and many others. Scholars, students, and practitioners benefit and develop their skills from access to the industry-leading risk management analytics, software and technologies, managed by worldwide companies. They can also optimise information usage from systems and databases (e.g. Bloomberg, Thomson Reuters, Bankscope, FAME) for research and training, and model and analyse complex decision-making systems (e.g. reliability, cybersecurity, technology, engineering, innovations, logistics, banking processes, supply chain).

7 Providing the Technology to Create Change Using our Risk Management Labs, professionals and scholars can prepare for CQRM designation. 20+ textbooks, several case studies, peer-reviewed papers, and supporting materials developed by Dr. Johnathan Mun and his co-authors and collaborators are available for teaching and academic purposes. Training DVDs on risk analysis (simulation, forecasting, optimisation, real options and applied business statistics) can also be used to enhance the learning process. Please visit our website for further details. Europe Otto Beisheim School of Management Rotterdam Business School University of Gothenburg University of Paris University of Pecs University of Siegen University of Stockholm University of Vienna North America Harvard University Massachusetts Institute of Technology New York University University of Colorado University of Pennsylvania University of Quebec Over 350 universities across the world have integrated our technologies into their teaching strategies, taking their education, research and training to a higher level. UK University of Cambridge University of Durham University of Edinburgh University of Glasgow University of Nottingham University of York

8 Our academic products come with full licenses for full-time professors, researchers and lecturers in the vast field of risk analysis or other associated courses. Rights of usage extend to their students, resulting in effective moneysaving resources. For further details, pricing, quotes, special requirements and trial versions, please contact: For general information, please contact: To learn more about what Risk Management Labs can do for Research and Education in your academic institution, please arrange a meeting or demonstration by ing: info@oslriskmanagement.com OSL Risk Management OSL House Henry Boot Way Priory Park East Hull HU4 7DF +44 (0) info@oslriskmanagement.com OSL Risk Management Optimus Services Limited is the parent company of OSL Risk Management. Visit for more information. View this document online at