ALM-Vision is a Fintech company specialized in quantitative consulting and modeling. We serve financial institutions and large companies wishing to analyze their balance sheet, investment projects, specific portfolios or a set of cash flows. We also provide independent quantitative advice on specific technical and financial topics. The company was incorporated in 2011 to fill the gap left by the withdrawal of investment banks in quantitative advisory because of the potential conflict of interest that they faced. Since then, the company has grown organically. We model banks, insurance companies, credit risk, complex bonds and loans and related derivatives and provide technical and scientific advisory. We have developed our own Asset Liability Management(ALM) software for pricing, modeling, simulation and analysis of the impact of business decisions and / or economic scenarios. This system allows to simulate a company globally and to study its balance sheet, income statement, liquidity, market valuation, equity, regulatory ratios. Asset and liability analysis requires substantial scientific rigor in quantitative modeling as well as many approximations and assumptions. Our added value goes beyond the supply of software, which remains a tool. ALM-Vision provides first and foremost together with its software specialist consulting services. In striving to promote technical and scientific innovation in Asset Liability Management, ALM-Vision conducts research and development activities in financial management. At ALM-Vision, we provide workshops and associated training to our customers. We ensure that they remain at the cutting edge of Asset Liability Management methodologies and breakthroughs in a manner that we adapt specifically to their regulatory environment.
ALM-Vision is a company specializing in quantitative modeling and balance sheet analysis. It offers its clients technical and scientific tools to optimize their financial decisions. We bring an independent, rational and scientific point of view. We advise our clients on any matter requiring a statistical and quantitative approach. Our main expertise is in Asset Liability Management (ALM) modeling and its analysis.
We provide models and systems to help our customers in their decision-making process. In our methodology, we emphasize that the software remains a tool. The added value comes from the modeling, the choice of the scenarios and the analysis of the results. ALM-Vision helps its clients throughout the process of modeling their balance sheet, analyzing and interpreting the results, and assessing the strengths and weaknesses of their balance sheet.
ALM-Vision has extensive experience with financial institutions and supports its clients to develop a sharp vision and appreciation of their own needs and strategic issues. With us, both executive management and financial management benefit from a new perspective and appreciation of their institution and a benchmark through comparison with their peers internationally.
ALM-Vision develops its own simulation models for the financial institution's balance sheet and income statement with three objectives:
The models are systematically and thoroughly documented. They allow you to save and modify the models quickly and efficiently. Developed with the latest technologies, computing times are extremely fast. ALM-Vision has developed a methodology using deterministic (realization of forwards, crisis scenarios, changes in the yield curve, Japanese crisis, etc.) and stochastic scenarios. ALM-Vision builds on the development capabilities of a strong IT team in the Philippines.
Each balance sheet item is modeled thoroughly:
The statistical models use the same simulation models generate market parameters from the average scenarios according to Brownian models.
Our long experience in trading allows us to create solid models that are realistic and in line with the best standards in a wide range of asset classes: interest rates, commodities, equities, bonds and credit. We are rapidly developing pricing tools for all asset classes, with the associated risk analysis capabilities.
Our strength lies in the fact that we are practical mathematicians, we understand the market and its dynamics. This allows us to build realistic models, based on thorough scientific methodologies.
Our catalogue includes a wide range of easily adjustable pricers to suit the needs of our customers. We currently focus on pricing connected to statistical and financial risks. For example, we have developed a lapse pricing model that combines a trinomial pricing swaption tree and statistical behavior for the insured (instead of the usual market comparison between intrinsic value and time value) .
On credit risk, we assist our customers with their scoring methodology, internal rating, calculation of Probability of Default(PD), Loss Given Default(LGD), Risk Weight Assets(RWA) and implementation of IFRS 9.
The success of real estate investment companies lies in the balance between their fundamental expertise and the accurate planning of cash flow. We support them with:
In 2015, we optimized financial management resulting in a direct growth of 10% for our customers. We have modeled real estate for commercial use (shopping malls, retail centers); offices, health facilities,education facilities.
Bad and doubtful debts in the balance sheet of financial institutions raises great concern. According to Basel III, loss and provision estimation is increasingly complex. We support our clients with:
We structured more than € 2 Billion in sales of NPL in 2015.
ALM-Vision tools significantly reduce the working time of teams responsible for financial management, budgets and asset / liability management. In addition, the tools allow us to create a homogeneous language in the sense of the financial department. They also make it possible to model the evolution of the institution over ten years, or more, enabling the directorates-general to be truly strategic. The models allow the simulation of crises, including the company's responses, in order to precisely measure the risks of such situations, unfortunately quite possible today. Finally, the models make it possible to assess the consequences of financial decisions on the balance sheet, both on assets and liabilities, on liquidity and on the income statement. By providing reliable and clear audit trails, ALM-Vision tools enhance the efficiency of the budget and ALM process. They strongly alleviate the work of the teams in data formatting to enable them to focus on the core of their business.
ALM Vision was born out of the recognition that financial institutions do not have enough rigorous operational tools and sound theoretical foundations to enable them to control their financial management. The economic crisis and the implementation of Basel III have made these tools indispensable. ALM-Vision has therefore focused on building tools:
ALM Vision was founded by specialists in financial management for financial management specialists. Her models are concerned with reporting the exact reality of a company and meeting the expectations of the financial and general management.
ALM-VISION offers a scientifically sound, efficient and global solution to central banks for stress testing exercises, including transfer of expertise in ALM and risk modeling.
Stress testing is a significant project requiring about 6 months divided into three phases:
Phase 1: definition of the stress events, communication to banks, gathering of data
Phase 2: modeling and stress testing
Phase 3: analysis of results and restitution
Prices depend on the size of the system and is made of three components. Prices are just indicative:
Asset Liability Management(ALM) is not an exact science but often requires approximations and raises econometric and economic questions. ALM-Vision strives to base its model choices on justified scientific bases. The company aims to be a center of technical expertise for its clients on all these questions that are more academic in nature yet are essential to the modeling. Examples include:
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Modeling The IR Curve - The Exponential Polynomial Model
We finally give an introduction to derivatives pricing using this new methodology, a simple and elegant way of expanding Cox-Ross but which raises issues in term of AOA assumption.
IRRBB - Understanding The Two Approaches Between EVE Variation And NIM Sensitivity
A case study
The New Standard For IRRBB Basel Committee April 2016
Finally ALM Makes Its Revolution
Pricing Real Estate
An elegant modeling
Modeling And Pricing Prepayments
A market approach
NPL Retail Pricing Methodology
Strategic considerations and methodology of pricing
Pricing Of Bonds With Risk Premium
Market value versus economic value
Modeling of No Maturity Deposits for IRRBB: Statistical or behavioral approach?
Modeling current accounts
For central banks, the RECESSION PROBABILITY has NEVER BEEN HIGHER
The probit models developed by the ECB and the FED in order to estimate the probability of a recession show the highest probability ever calculated. Based on the evolution of the monetary mass and the shape of the yield curve, are these models still valid?
ALM-Vision works in a very closed relationship with its customers under a strict confidentiality agreement. No information has to leave the customers' systems which keep full control of their information. Prices of the service are discussed case by case and range from 70 K€ for a small institution working largely in autonomy up to 150 K€ per year for a balance sheet above 100 B € or sophisticated requirements. Contracts are cancelable annually. ALM-Vision never charge a customer for any developments which are mutualized between users. All users enjoy always the last version of the system.
ALM-Solutions software system is a new generation third tiers system used to model the balance sheet, off-balance sheet and incomes statement of a financial institution and simulate the regulatory ratios and calculation including IRRBB d368.
ALM-VISION Pricing DLL provides a wide range of pricing functions: yield curves modeling, assets pricing, derivatives, real estates. Our functions are made to get integrated in excel, making them very flexible and convenient for pricing exercises.
He is an actuary and an investment banker specializing in Asset and Liability Management. He co-headed the Strategic Institutions team, capital markets division of Société Générale CIB and had a similar role at JP Morgan Chase Bear Stearns Europe. He modeled and analyzed numerous financial institutions during these two posts and advised on ALM, investments, liquidity, capital and risk. He was also in various financial institutions prior as head of ALM, CIO, CFO, COO, and Deputy CEO.
Serge began his career in research and quantitative management. He was awarded "Deal of the Year" in 2009 for the rescue operation for Fortis with his team. He was one of the specialized bankers most sought after during the 2008 crisis for advice to governments, financial institutions and the European Commission. His mandates included CIFG-Caisses d’épargne, FORTIS (for the Belgian Government), DEXIA/FSA (APE-Belgian government joint mandate), the merger of Caisses d’Epargnes- Banques populaires, NAMA in Ireland, Iceland, KBC, advisor to the CDC in the creation of the FSI, advisor to the European commission on Spanish and German banks.
Sylvain Adam
Gladys Mae Chiong