Tag Archives: Optimization

Analytics & Optimization Modelling Deposit Price Elasticity: Challenges and Approach

Analytics on screen
Sep042017

This is the third in a series of blogs on deposit pricing, focusing on price elasticity modelling approaches and challenges. The goal of any deposit price optimization solution is to make data-driven pricing decisions to manage portfolio balances and trade these off against the associated costs. These solutions should allow a pricing manager to prepare and run what-if analyses to assess the impact of pricing strategies, competitor price actions or movements in central bank base rates. Fundamental to these solutions are price-elasticity models that capture and predict customer behavior as a response to pricing and other non-price factors. In this blog, we discuss the challenges and solution approaches for the development of robust price-elasticity models. Price Response Signal Price sensitivity can be measured with regards to product rate, market ranking, competitor rates or even interest paid to other products in the portfolio. The modelling challenge is not only to measure... [Read More]

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Analytics & Optimization Modelling Deposit Price Elasticity: What Data Do You Need?

Analytics on screen
Aug142017

This is the second in a series of blog posts on deposit price elasticity, focusing on the modelling data requirements. There are several different modelling techniques and approaches to measure deposit price elasticity, which is dependent on the actual business problem and model usage. The exact data requirements might need to be amended to account for the modelling technique, but a large number of data items are consistent across all approaches. As with all modelling projects, it is good to initially take a step back and think about what type of information you would expect to be predictive, impact deposit price elasticity, and make you move your savings across different products and / or financial institutions. We would suggest that considering the below fields would be best practice for a deposit price elasticity model development: Product details: Historical interest rate of the product(s) to be modelled, this would include retention... [Read More]

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Analytics & Optimization Modeling Deposit Price Elasticity: What Is It All About?

Chart showing components of FICO deposit price optimization solution
Jul312017

Many top financial institutions have begun using predictive modelling and optimization to improve deposit pricing. This requires an understanding of customers’ deposit price elasticity — how sensitive are they to pricing changes, and what is the relationship between price and demand at the customer, segment and portfolio level? I’m going to explore this topic in a series of posts, which should be useful both to deposit portfolio managers and analytics teams. To start with, let’s look at the basics. Price elasticity is the study of responsiveness, and how the demand of a product changes with respect to price (and/or the price of competitors). Understanding deposit price elasticity, or having models that predict this, means you can quantify: Impact of a product’s price change on the deposit product How competitor price changes impact a deposit portfolio Impact of changing macro-economic conditions, such as a change in central bank lending rate How... [Read More]

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Analytics & Optimization Analytics Unleash the Power of Alternative Energy

WindFarm Designs image and quote
Jun282017

“The wealth of the nation is its air, water, soil, forests, minerals, rivers, lakes, oceans, scenic beauty, wildlife habitats and biodiversity… that’s all there is. That’s the whole economy. That’s where all the economic activity and jobs come from. These biological systems are the sustaining wealth of the world.” – Gaylord Nelson, former US Senator and founder of Earth Day When we ponder climate change and alternative energy, the visceral reaction for many of us is not just thinking about our future on this planet, but also our children’s, and that of their children. Even proponents of “staying the course” by focusing largely (or even solely) on traditional energy sources would have to acknowledge that our global economy would collapse as our systems degrade over time – as Gaylord Nelson reminds us in his brief but compelling message. Alas, the challenges of tapping into alternative energy’s potential are still very... [Read More]

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Risk & Compliance Unused Credit Card Lines Are a £90 Billion Problem in UK

Pile of credit cards
May302017

As the UK’s Financial Conduct Authority proposes that issuers reduce or waive interest rate charges for persistent credit card debt, it raises the question: Just how much credit card debt do Britons carry? The answer is: a lot more than they used to. FICO has just done research based on our FICO® Benchmark Reporting Service data, which includes the vast majority of cards issued in the UK. Our analysis shows that: Average credit lines on “Classic” cards (which excludes Premium cards, Student cards and Irish-issued cards) have grown 50% since 2002 to £5,062. The largest growth has been accounts which are 1 to 5 years on book (Established) and this vintage have the highest percentage of inactive accounts, 35%. Veteran (5+ years on book) has the highest % of unused credit on accounts which are spending. In January 2017 the average balance on accounts with limits £5,001 to £10,000, which... [Read More]

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Risk & Compliance Adapting Mortgage Loan Price Optimization to Building Societies

House image with analytics
Apr032017

One of the hottest analytic technologies in mortgage lending is price optimization. This is the application of advanced analytics to pricing strategies, in order to determine the ideal price for every customer that maximizes profitability, given factors such as take-up, affordability, etc. That’s great for banks, but what about building societies and credit unions? If profit isn’t your primary goal — if you exist to serve your members — does price optimization have a place? The answer is definitely yes. Using pricing optimization, building societies and credit unions can develop strategic mortgage offers that target specific objectives, such as customer retention, without hurting the bottom line and ensuring that targets around Treating the Customer Fairly are met. This kind of optimization can really pay off – making an appropriate offer, to the right customer at the right time, typically results in 10-15% higher retention of existing customers. When building societies... [Read More]

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Analytics & Optimization Clean Energy Firm Solves an “Impossible” Problem with FICO Tech

Windfarm Designs logo
Dec132016

Harnessing the potential of wind energy is a challenging problem, from capture through conversion into electrical power. A key facet of wind farm design is how the turbines are placed. A “typical” wind farm project may encompass 200×300 grid points on the wind map to cover 20 turbines; if you consider the number of ways to position these turbines, the placement problem becomes incredibly cumbersome. But it’s not just maximizing energy yield that vexes the human brain. For years, the industry studied the problem of how to factor load constraints into the power optimization mix. Turbine loads (described through IEC standards or load models) have been considered too difficult to include in the optimization problem. Instead, consultants and manufacturers manually review and adjust layouts, which not only takes time – it also generates less than ideal results. Markedslabben AS, a Norwegian wind farm design tool and optimization start-up, cracked the... [Read More]

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Analytics & Optimization Video: Protecting Drivers and Toyota with Optimization

Toyota Optimization Video Image
Aug232016

Ever wonder how Toyota Financial Services keeps 10,000 drivers from hurting their credit? When delinquencies spiked after the 2008 financial crisis, Toyota Financial Services realized it needed a markedly different approach to collections. As Jim Bander of Toyota Financial Services explains in the video below, the company turned to FICO prescriptive analytics and optimization, allowing it to become more flexible and scientific about collections decisions. Now, Toyota Financial Services can reach financially strapped customers sooner and have a conversation that makes a difference. The resulting benefits have been numerous, including helping many customers avoid repossession and stay in their cars, and preventing thousands from reaching a stage of delinquency that would affect their credit. For more information on this success story with Toyota Financial Services, read the following blog posts: Toyota Financial Drives “Data Science for Good” with FICO Analytics Toyota FS Wins InformationWeek “Best in Analytics” Award FICO Optimization Helps Toyota Keep... [Read More]

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Analytics & Optimization Toyota Financial Drives “Data Science for Good” with FICO Analytics

Aug022016

An unabashed data geek, I’m fascinated by every facet of analytics and data science, including the growing movement to apply commercial data science techniques for social good. That’s not normally what people think about when the topic turns to debt collection. But using “data science for good” is exactly what Dr. Jim Bander did at Toyota Financial, implementing FICO Decision Management Suite to optimize the automotive lender’s practices, and keep more drivers in their cars and their credit history clean. “We have two core values here at Toyota: respect for people and continuous improvement,” Bander says. “Going into debt collections is a hard time for a lot of people, but our goal is to respect them throughout the process and to keep them as Toyota and Lexus drivers. We want them coming back as future customers.” Continuously improving decision models Toyota Financial began emphasizing collections after the 2008 financial crisis,... [Read More]

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