International Journal of Scientific Research and Engineering Development

The United States housing sector faces increasing financial challenges arising from rental arrears, tenant defaults, liquidity constraints, interest rate volatility, regulatory changes, and economic uncertainty. This paper proposes an integrated framework combining Enterprise Risk Management (ERM), predictive analytics, and revenue recovery systems to improve portfolio stability and financial resilience. The United States housing sector faces increasing financial challenges arising from rental arrears, tenant defaults, liquidity constraints, interest rate volatility, regulatory changes, and economic uncertainty. This paper proposes an integrated framework combining Enterprise Risk Management (ERM), predictive analytics, and revenue recovery systems to improve portfolio stability and financial resilience. The United States housing sector faces increasing financial challenges arising from rental arrears, tenant defaults, liquidity constraints, interest rate volatility, regulatory changes, and economic uncertainty. This paper proposes an integrated framework combining Enterprise Risk Management (ERM), predictive analytics, and revenue recovery systems to improve portfolio stability and financial resilience. The United States housing sector faces increasing financial challenges arising from rental arrears, tenant defaults, liquidity constraints, interest rate volatility, regulatory changes, and economic uncertainty. This paper proposes an integrated framework combining Enterprise Risk Management (ERM), predictive analytics, and revenue recovery systems to improve portfolio stability and financial resilience. The United States housing sector faces increasing financial challenges arising from rental arrears, tenant defaults, liquidity constraints, interest rate volatility, regulatory changes, and economic uncertainty. This paper proposes an integrated framework combining Enterprise Risk Management (ERM), predictive analytics, and revenue recovery systems to improve portfolio stability and financial resilience. The United States housing sector faces increasing financial challenges arising from rental arrears, tenant defaults, liquidity constraints, interest rate volatility, regulatory changes, and economic uncertainty. This paper proposes an integrated framework combining Enterprise Risk Management (ERM), predictive analytics, and revenue recovery systems to improve portfolio stability and financial resilience.

Rizwan Aslam,"Financial Risk Management Framework for U.S. Housing Operators Integrating Predictive Analytics, Revenue Recovery Systems, and Enterprise Risk Management for Portfolio Stability" International Journal of Scientific Research and Engineering Development, V9(3): Page(2518-2522) May-June 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.