Insurance represents a contractual agreement between an insurance company and a policyholder, serving the purpose of mitigating financial liabilities and facilitating recovery from unforeseen losses. In this arrangement, the policyholder remits a nominal sum, termed as the insurance premium, to the insurer in exchange for comprehensive financial safeguarding or reimbursement against designated perils and hazards. Additionally, in the context of life insurance products, policyholders may also be entitled to maturity benefits as outlined within the policy terms.
The insurance company makes a profit primarily through prudent underwriting practices and investment income generated from the premiums collected. Insurance companies invest the premiums received in various financial instruments, such as stocks, bonds, and real estate. The returns earned from these investments contribute to the insurer’s overall revenue streams. By accurately pricing risk and prudently managing the investment portfolios, insurer aims to optimize the likelihood of generating more revenue, which consists of premium collection and investment income, than paying out more in claims, maturity benefits, and expenses. Therefore, it is crucial to balance the long-term value creation for clients and shareholders within the risk appetite and competitive landscape.
In the context of the Insurance business, the key objectives of Investment are (1) to maximize the investment returns for a given risk appetite and (2) to achieve the long-term strategic game plan through portfolio diversification and a prudent liability-driven investment strategy. Hence, in such perspectives, there are principles in guiding the decision-making and resource allocation to reach the desired goal. These is what I call the 3-dimensional core factors that govern the investment value chain decision-making process, i.e., earnings volatility, liquidity, and solvency position, both in current and under stressed conditions. These factors are all connected to each other. If you change or do something with one factor, it can affect the others. They're like pieces of a puzzle that fit together, and you can't look at just one piece without considering how it fits with the others.
For instance, endeavors to enhance earnings through investments in high-risk assets like private equity may precipitate diminished liquidity ratios and heightened regulatory capital requisites, consequently lowering the insurer's capital adequacy. However, prudent evaluation of these interdependencies becomes imperative if the risk-adjusted returns from private equity investments adequately counterbalance the liquidity and capital ramifications. Hence, grasping and effectively managing the interplay among these factors emerges as a pivotal determinant of overarching success.
“In operationalizing the investment value chain, it is imperative to reinforce the efficacy and precision of the core investment functions in alignment with the insurer's objectives.”
To preserve the balance between the stability of earnings, sufficient level of liquidity as well as adequate capital level, what we commonly see in the investment department is there are functions designed to support the optimization of these interdependencies. These functions under the Investment value chain consist of Asset Liability Management (ALM), Strategic Asset Allocation (SAA) and Tactical Asset Allocation (TAA), and Portfolio Construction & Implementation.
ALM aims to ensure that the Insurance Company holds sufficient assets to meet the defined targets and liability obligations. It focuses on aligning the assets' maturity, liquidity, and risk profile with those of liabilities. Under the current advancement of technology, leveraging the technological tools would give the best risk-adjusted return in different economic scenarios within a set of internal and regulatory requirements, liquidity constraints, solvency targets, and meeting the liability cashflows, as what we call asset-liability matching.
Moreover, technology can help insurance companies monitor and manage their ALM strategies in real-time, allowing for timely adjustments in response to changing market conditions or regulatory requirements. This dynamic approach ensures that insurers can maintain liquidity, meet solvency targets, and effectively manage their balance sheet risks while meeting their liability cash flow obligations.
SAA is liability-driven and strongly interdependent with insurance-specific targets. Hence, the calibration of SAA aims to ensure that the insurer holds sufficient assets to reach the defined targets, meet the liability obligations, and maximize the shareholder value creation over a mid-to-long-term horizon while taking into consideration all investment constraints such as regulatory and accounting standards and treatment, capital requirements and operational related issues.
Various methodologies and approaches are employed in formulating an effective Strategic Asset Allocation (SAA). These include utilizing the efficient frontier to ascertain the optimal asset mix with the lowest volatility that aligns with business objectives. Furthermore, the Monte Carlo simulation method is applied to generate forward average rates of return for each asset class and assess the correlation of returns between assets, thereby evaluating the benefits of diversification. Additionally, sophisticated analytical tools are leveraged to simulate the outcomes of asset and liability values across diverse economic scenarios, facilitating an assessment of the viability of the SAA model, among other considerations.
The function of Portfolio Construction & Implementation endeavors to establish the tactical positioning of portfolios in response to the dynamic shifts in market conditions and financial objectives. It involves translating the outcomes derived from the Strategic Asset Allocation (SAA) process into a more detailed allocation strategy, considering specific criteria such as sub-asset classes and geographical regions while upholding the regulatory principle of asset managers' independence in conducting asset management operations.
In operationalizing the investment value chain, it is imperative to reinforce the efficacy and precision of the core investment functions in alignment with the insurer's objectives. This entails establishing robust governance mechanisms to systematically assess and scrutinize investment outcomes and performance regularly, overseen by an independent entity or committee. Given the substantial impact of the investment function on the insurer's profitability, it is paramount to cultivate a high-caliber investment value chain and a proficient team capable of delivering sustained long-term value to policyholders and shareholders.
