ASSK

How much can a small error in risk prediction cost an insurance company? Lucy Njoki, a student at Kirinyaga University, explores this question in her research, Impact of Inaccurate Risk Prediction on Premium Pricing and Insurer Profitability, presented at the 2026 Product Development Competition held at Daystar University. The study examines how underestimating or overestimating

Trust remains one of the insurance industry’s most important foundations. Yet concerns surrounding fraudulent claims, delayed payouts and disputed contracts continue to challenge confidence between insurers and policyholders. Marianne Grace Akinyi, a student at The Co-operative University of Kenya, explores how emerging technologies can help address these challenges in her completed research paper, Actuaries as

Can an insurance company report strong profits while still facing liquidity pressure? This question lies at the heart of a completed research study by Peter Makau, Grace Wando and Nancy Bonareri from Multimedia University of Kenya (MMU), examining the relationship between cashflow management and financial resilience in the insurance industry. The study addresses a critical

Emerging financial markets are often shaped by economic uncertainty, political developments and global financial shocks, making accurate volatility forecasting essential for informed investment decisions. Daniel Sila, a student at Murang’a University, explores this challenge in his completed research paper, Modelling Share Market Volatility in Emerging Markets Using GARCH Modelling. Using data from the MSCI Emerging

How can motor insurance premiums become fairer for safe drivers while protecting insurers against unexpected claims? This is the question addressed by a research team from Kisii University, comprising Elijah Onsomu, Owino Catherine Anyango and Everline Akhwale, whose research introduces a data-driven approach to improving motor insurance pricing. Traditional No-Claim Discount (NCD) systems often rely on

For millions of Kenyans whose incomes arrive transaction by transaction rather than through a fixed monthly salary, this simple question represents a much bigger financial challenge. It is the challenge that inspired PesaPilot-AutoSaving, an innovative financial collection mechanism designed to automatically connect everyday mobile-money transactions with savings and insurance.PesaPilot-AutoSaving is built around a simple idea:

What if actuarial science could do more than quantify uncertainty? What if it could help identify risk earlier, support better decisions and contribute to preventing disease before it becomes a crisis? This is the thinking behind MammoRisk, an innovative AI and actuarial breast-cancer risk platform developed by Gideon Kiarie, a student at Murang’a University. Developed