Smart Contract for Distributed Insurance Project

A smart contract is a set of codes that execute business logics for contractual agreement in financial transactions. Our University of Illinois team has designed various business models for catastrophe risk sharing.  In this project, students are expected to learn smart contract programming and build the first of its kind smart contract for distributed insurance. […]

Spatiotemporal Modeling on Foot Traffic Data to Unlock Auto Insurance Geo-risks

Foot traffic data is captured by various sources, such as smartphone APP, telematics devices in the vehicle, which can help insurance monitor policy holders’ behavior. It is beneficial for insurance companies to price the risk accurately and accelerate the underwriting process. On the other hand, policyholders are given incentives for good driving behavior. There are […]

Option-Implied indicators for market stress

TStock and index options are traded on the financial market and their prices  are determined by supply and demand. These prices are publicly available and are forward-looking: they contain information about the aggregate view of the market about the future dynamics of the financial market. The Volatility Index (VIX) is the market barometer for volatility and […]

Forward and backward preferences

Classical backward preferences of an investor are simply defined by a family of her value functions across states and times. Due to the backward nature, a terminal preference must be specified a priori. However, pre-specifying the future preference is actually unjustifiable in practice. To rectify this modeling drawback, a novel concept called forward preferences has […]

Visualization of sample recycling methods for nested stochastic modeling

As more regulatory reporting requirements in the regulatory regimes around the world move towards dependence on stochastic approaches, insurance companies are experiencing increasing difficulty with detailed forecasting and more accurate valuation and risk assessment based on Monte Carlo simulations. Stochastic modeling is commonly used by financial reporting actuaries whenever reporting procedures, such as reserving and […]

Playbook for 21st century retirement planning

While many retirement planning products such as annuities have been around for centuries, the needs of retirement financial security are drastically different in the 21st century. Just to name a few, the dynamics of family structure, employee-employer relationship, end-of-life care, rising medical costs, and financial technology, all made retirement planning much more complicated than just […]

Do blue skies drive away pollution?

We would like to understand pollution microclimates. We would like to statistically understand if urban regions with better access to the sky allow for decreased pollution. We will be combining data from: Estimates of pollution from Chicago’s array of things Congestion estimates from the Chicago data portal Estimates of sky occasion from Google Street view Using some […]

Statistics for monitoring the healthiness of a portfolio

When a company offers a new insurance product, there are a set of assumptions to be made in order to start the pricing process. For example, the size or frequency of the claims could be unknown, as could be the variability around their expected value. There are several ways in which actuaries estimate these parameters, but the risk […]