Insurance

Insurance companies (life and pensions, P&C, health, reinsurance) operate under a distinct regulatory framework that ties capital requirements to underwriting risk, market risk, and counterparty risk. In the EU, Solvency II (Directive 2009/138/EC) is the dominant framework, with a 99.5% VaR over one year as the core capital metric (the Solvency Capital Requirement, or SCR). The UK has a similar regime post-Brexit. In the US, the NAIC Risk-Based Capital (RBC) framework applies to US-domiciled insurers. Bermuda, Switzerland, and Japan have their own frameworks, each with material differences in calibration.

Asset-liability management (ALM) is the central discipline of insurance investment management. The fundamental challenge: the assets (investment portfolio) and liabilities (insurance reserves, annuitisation obligations, claims reserves) must be managed jointly to deliver policyholder promises at acceptable capital cost. Duration matching, cash flow matching, and key-rate duration analysis are the standard tools. The mismatch risk between asset and liability cash flows is the primary driver of insurance investment risk.

The investment portfolio of a life insurer typically includes government bonds, corporate credit, and a smaller allocation to equity, real estate, and alternatives. The mix is determined by the liability profile (long-duration liabilities favour long-duration assets), the regulatory capital treatment, and the ALM strategy. For annuity writers, hedging interest rate risk is existential a 100bp parallel shift in the wrong direction can wipe out a year's earnings. LDI (liability-driven investment) is the standard framework.

TQH TERMINAL provides the ALM and investment analytics infrastructure for insurance companies. The platform models the asset and liability cash flows, computes duration and key rate exposures, runs the regulatory capital calculations (SCR under Solvency II, RBC under NAIC), and supports the ORSA (Own Risk and Solvency Assessment) reporting cycle. Integration with actuarial systems and the firm's investment book of record provides a unified view of asset and liability exposures.

TheQuantHackers supports the full insurance workflow: from actuarial cash flow projection through ALM analysis, regulatory capital, and investment portfolio analytics. The platform's stochastic asset-liability simulation engine supports the kind of long-horizon, path-dependent analysis (e.g., dynamic policyholder behaviour, embedded options, capital projection under stochastic scenarios) that is central to insurance risk management. The output is decision support for the CIO and actuarial teams, and audit-ready documentation for the regulator.