Does operating risk affect portfolio risk? Evidence from insurers' securities holding

This study empirically examines, in the setting of insurance companies, the hypothesis that investors facing more operating risk may behave as if they were more risk averse in investment decisions. Specifically, we study how operating risk from underwriting insurance policies affects insurers' risk taking behavior in their portfolio investments. We find that insurers with higher volatilities in underwriting incomes and cash flows are more conservative in their financial investment risk taking – they have lower credit risk exposure in their bond investments, as well as lower portfolio weights on risky bonds and equities. Further, insurers' portfolio risk exposure is sensitive to the risk of permanent underwriting income shocks but insensitive to the risk of transitory shocks. Transitory operating risk, however, is significantly related to portfolio risk when insurers face tight financing constraints. Our findings suggest a substitutive effect of operating risk on investment decisions by financial institutions.     

我国合资寿险公司效率的实证研究——基于Tobit广义线性模型

通过测算2005～2009年我国17家合资寿险公司的超效率和Malmquist指数,利用Tobit的广义线性模型检验其效率的影响因素。结果发现:2005～2009年,我国合资寿险公司技术效率的整体得分在逐步提升,各公司之间的技术效率差距在逐渐缩小;分支机构的开设数量、团险业务的保费收入占比、寿险业务的保费收入占比均对合资寿险公司的效率有着显著的正向影响,而寿险市场的集中度则对合资寿险公司的效率有着显著的负向影响。     

Regulation and the connectedness of insurers to the banking sector: International evidence

Using variation across countries and time in the degree to which regulations restrict banks and insurers from engaging in the same activities, we find that property/liability insurers' connectedness to the banking sector declines when regulatory restrictions increase, but life insurers' connectedness to banks does not. The results suggest that the connectedness between life insurers and banks is largely due to these institutions sharing common underlying economic and financial risk factors that exist even when regulation restricts these institutions from engaging in each other's activities.     

Market Risk,Interest Rate Risk,and Interdependencies in Insurer Stock Returns: A System‐GARCH Model

We examine market risk, interest rate risk, and interdependencies in returns and return volatilities across three insurer segments within a System‐GARCH framework. Three main results are obtained: market risk is greatest for accident and health (A&H) insurers, followed by life (Life) and property and casualty (P&C) insurers; interest rate sensitivity is negative and greatest for Life insurers; and interdependencies in returns are significant with the magnitude being strongest between P&C and A&H insurers. The implication is that greatest diversification benefits arise between Life and the other segments of the insurance industry. Market risk and interest rate risk for diversified firms are smaller than those for nondiversified firms for both product and geographic diversification.     

The Determinants of Private Debt Holdings: Evidence From the Life Insurance Industry

Life insurers hold the majority of private debt. Lenders in the private debt market must have the ability to evaluate the credit quality of borrowers and to perform ongoing risk monitoring. The purpose of this study is to examine the determinants of private debt holdings in the life insurance industry. The results suggest that larger insurers, insurers with higher financial quality, mutual insurers, publicly traded insurers, insurers facing stringent regulation, and insurers with greater cash holdings are more prevalent lenders in the private debt market.     

German bond markets and US monetary policy

Low interest rates have been a major problem for the European life insurance industry. The implementation of Solvency II certainly has forced European life insurers to improve their risk management procedures and to buy long term bonds in order to handle the interest rate risk inherent to their liabilities. As a consequence, the industry meanwhile more or less seems to be able to cope with the problem of low interest rates. However, now the US central bank has started to hike rates. The Bank of Canada meanwhile has followed its southern neighbor. The changed monetary policy environment in North America might create new challenges for asset managers in the European life insurance industry. This paper provides some additional thoughts and empirical evidence about the linkages between US monetary policy and the European bond market employing techniques of time series analysis.     

Credit risk assessment in real estate investment trusts: A perspective on blockholding and lending networks

This study assesses the credit risk of Japan's real estate investment trusts (J-REITs) in two related markets during the fiscal years 2008–2017. The first J-REIT market involves blockholders, while the second is a lending market of institutions, i.e., banks and insurers. J-REITs are corporation type of closed-end funds listed on the stock exchange and thus, has corporate credit risk. Consequently, a J-REIT's financial variables and its sponsor have a substantial effect on the J-REIT's credit risk. A sponsor's probability of default is a leading indicator of the J-REIT's default and double default probability acts as a coincident indicator of default. Network analysis indicates that some network centralities are proxies for funding liquidity via blockholding and lending networks. Rather than increases in other centralities, an increase in the degree of lending to a J-REIT explains a decrease in the issued J-REIT's credit risk.     

Health insurers' operations in the face of health care reform: An analysis of the Supplemental Health Care Exhibit

The Patient Protection and Affordable Care Act (ACA) introduced significant changes to the health insurance marketplace in the United States. The act also imposed reporting requirements on insurers. The law has required insurers since 2010 to file yearly the Supplemental Health Care Exhibit (SHCE). The SHCE provides unique information on how health insurers operate. We analyze data in the SCHE to understand how insurers have complied with one of the major new regulations affecting health insurers' operations arising from the ACA—the Medical Loss Ratio (MLR) Provision. This requires that insurers spend a minimum percentage of their premium revenue on medical claims, quality improvement expenses, and deductible fraud and abuse detection and recovery expenses. Our analysis of the 2010–2017 SHCE indicates that insurers' underwriting performance worsened in the early years of the ACA as they worked to increase MLRs to become ACA‐compliant. Analysis of the SHCE further reveals that insurers' profits from managing uninsured plans grew as the profitability of underwriting insured plans decreased. Future research on health insurer operations is warranted. The currently underutilized and data‐rich SHCE provides unique information that makes future research possible.     

On the Feasibility of Insurers' Investment Policies

This article calls attention to a difficulty with insurers' investment policies that seems to have been overlooked so far. There is the distinct possibility that insurers cannot satisfy the demands of different stakeholders in terms of expected returns and volatility. While using the capital asset pricing model as the benchmark, this article distinguishes two groups of stakeholders that impose additional constraints. One is “income security” in the interest of current beneficiaries and older workers; the other is “predictability of contributions” in the interest of contributing younger workers and sponsoring employers. It defines the conditions for which the combination of these constraints results in a lack of feasibility of investment policy. Minimum deviation from the capital market line is proposed as the performance benchmark in these situations.     

Relationship Trading in Over-the-Counter Markets

We examine the network of trading relationships between insurers and dealers in the over-the-counter (OTC) corporate bond market. Regulatory data show that one-third of insurers use a single dealer, whereas other insurers have large dealer networks. Execution prices are nonmonotone in network size, initially declining with more dealers but increasing once networks exceed 20 dealers. A model of decentralized trade in which insurers trade off the benefits of repeat business and faster execution quantitatively fits the distribution of insurers' network size and explains the price–network size relationship. Counterfactual analysis shows that regulations to unbundle trade and nontrade services can decrease welfare.     

The Determinants of Financial Health of Asian Insurance Companies

Previous studies of financial health of insurance companies are mainly focused on insurers operating in the United States and developed economies. This article focuses on the solvency of general (property‐liability) and life insurance companies in Asia using firm data and macro data separately. It uses different classification methods to classify the financial status of both general and life insurance companies. With the exception of Japan, failures of insurers in Singapore, Malaysia, and Taiwan are nonexistent. We find that, first, the factors that significantly affect general insurers' financial health in Asian economies are firm size, investment performance, liquidity ratio, surplus growth, combined ratio, and operating margin. Second, the factors that significantly affect life insurers' financial health are firm size, change in asset mix, investment performance, and change in product mix, but the last three factors are more applicable to Japan. Third, the financial health of insurance companies in Singapore seems to be significantly weakened by the Asian Financial Crisis. As the insurance industry in different Asian economies is at different stages of development, they require different regulatory guidelines.     

Systemic Risk in the Insurance Sector: A Review and Directions for Future Research

This article reviews the extant research on systemic risk in the insurance sector and outlines new areas of research in this field. We summarize and classify 48 theoretical and empirical research papers from both academia and practitioner organizations. The survey reveals that traditional insurance activity in the life, nonlife, and reinsurance sectors neither contributes to systemic risk nor increases insurers’ vulnerability to impairments of the financial system. However, nontraditional activities (e.g., credit default swap underwriting) might increase vulnerability, and life insurers might be more vulnerable than nonlife insurers due to higher leverage. Whether nontraditional activities also contribute to systemic risk is not entirely clear; however, the activities with the potential to contribute to systemic risk include underwriting financial derivatives and providing financial guarantees. This article is not only likely of interest to academics but also highly relevant for the industry, regulators, and policymakers.     

基于产品组合视角我国寿险公司综合免疫策略研究

针对我国人寿保险公司的经营面临着日益加大的市场风险与死亡率风险．提出了一种同时规避死亡率风险与利率风险的综合免疫策略。假设寿险公司采取资产主导的资产负债管理模式，通过对寿险公司两类主要产品（死亡给付产品和生存给付产品）的组合比例调整，实现对死亡率风险和利率风险的双重免疫。为此首先建立寿险公司死亡率自然对冲模型，在此基础上将利率风险引入模型，进而构建起同时规避死亡率和利率风险的寿险公司综合免疫产品组合策略。     

On the exposure of insurance companies to sovereign risk—Portfolio investments and market forces

A sovereign debt crisis can have significant knock-on effects in the financial markets and put financial stability at risk. This paper focuses on the transmission of sovereign risk to insurance companies as some of the largest institutional investors in the sovereign bond market. We use a firm level panel dataset that covers large insurance companies, banks and non-financial firms from nine countries over the time period from 1 January 2008–1 May 2013. We find significant and robust transmission effects from sovereign risk to domestic insurers. The impact on insurers is not significantly different from that on banks but larger than for non-financial firms. We find that systemically important insurers are more closely linked to the domestic sovereign. Based on European data, we show that risks in sovereign bond portfolios are an important driver of insurer risk, which is not reflected in current insurance regulation (incl. Solvency II in Europe).     

Financial constraints on credit ratings and cash-flow sensitivity

This study investigates whether financial constraints, as measured by the level of credit ratings and their migrations would affect the firm's cash flow allocation policies and reflect the main financial constraints on a firm's cash flow sensitivity of cash. For a given credit quality shock, control for firm-level characteristics and endogeneity of cash flow allocation, our results suggest that firms with higher credit financial constraints have significantly higher cash flow sensitivities on cash holding, investment, and debt financing activities. Our results provide evidence that credit rating risk has a larger impact on cash flow allocation and drives the financial constraints on cash flow sensitivity for various reasons, including precautionary motivation and restricted access to external financing.     

Health insurers' use of quality improvement expenses to achieve a minimum medical loss ratio requirement

Health insurer medical loss ratios (MLRs) are the percentage of premium dollar spent on medical claims and healthcare quality improvement expenses (QIEs). QIEs include activities to improve patient health outcomes and safety, reduce medical errors, and prevent hospital readmissions. The Affordable Care Act mandates minimum MLRs in certain health insurance markets lest rebates be paid to policyholders. QIEs are reported in all markets regardless of whether that market is subject to minimum MLR requirements. Using health insurer statutory filings for a sample of group market insurers from 2010 to 2018, we employ a mixed regression discontinuity/regression kink approach to evaluate whether QIEs are used by insurers as a potential strategy for meeting the minimum MLR requirement. We show that health insurers' QIE increase in the loss ratio until meeting the minimum MLR requirement, have a significant discontinuous jump at the threshold, and decrease above the threshold after the introduction of the MLR mandate.     

Aktienanlage für Lebensversicherer unter Solvency II

Life insurance companies are among the largest institutional investors. As part of their investment policy they are subject to special legal requirements. In particular the calculation of the solvency capital that has to be deposited for the market risk has changed under Solvency II. A widely spread thesis on this topic is that investments in equity have become unprofitable for life insurers due to solvency capital requirements – compared to previous periods of high equity ratios of temporally over 25%. Therefore insurers might have dropped their average stock quotas to below 5%.The intention of the present study is to analyze whether the capital requirements for the equity investments under Solvency II are a hurdle to achieve a reasonable profitability or – opposite to that – whether the equity investments are a suitable investment to provide an acceptable return on assets. For this purpose the solvency capital requirements of the equity investment under Solvency I considering the BaFin stress test are compared with the new solvency capital requirements under Solvency II including the symmetric adjustment factor (SA). Furthermore the diversification effects are taken into account; they are analyzed on the basis of the SFCR reports of the life insurance companies first published in 2017. As a result the risk capital requirements for equity investments under Solvency II have been reduced to more than 50% compared to prior solvency requirements and depending on the observed scenarios. Whilst Solvency I required an underlying risk capital of 31% at the end of 2017, Solvency II requires only 13.56% following the standard model and after aggregating the risk-mitigating effects in the group scenario. This effect results in a surplus of 7.2%, considering industry-standard capital costs for the underlying solvency capital and an average stock market return of 8% per annum. Consequently the equity investment is suitable to increase the profitability of the investments of German life insurance companies especially in the environment of low interest rates in the capital market for fixed income titles.     

A framework to measure integrated risk

A framework underlying various models that measure the credit risk of a portfolio is extended in this paper to allow the integration of credit risk with a range of market risks using Monte Carlo simulation. A structural model is proposed that allows interest rates to be stochastic and provides closed-form expressions for the market value of a firm's equity and its probability of default. This model is embedded within the integrated framework and the general approach illustrated by measuring the risk of a foreign exchange forward when there is a significant probability of default by the counterparty. For this example moving from a market risk calculation to an integrated risk calculation reduces the expected future value of the instrument by an amount that could not be calculated using the common pre-settlement exposure technique for estimating the credit risk of a derivative.     

Property–casualty insurance guaranty funds and insurer vulnerability to misfortune

The enactment of property–casualty insurance guaranty fund statutes in the US was associated with a decrease in insurers' reserves for Homeowners and Commercial Multi-Peril insurance. The evidence is: loss ratios among states enacting guaranty fund statutes declined relative to other states. Tests on loss accruals confirm that the effect was due to decrease in reserves. Other tests that distinguish between guaranty fund statutes offer no evidence that guaranty funds encouraged sound insurers to monitor competitors and assist regulators in identifying weak insurers. Instead, the data are consistent with an explanation where insurance regulators identify and discourage risk-increasing activity.     

Solvency II,asset liability management,and the European bond market – theory and empirical evidence

It is already foreseeable that Solvency II will tie capital requirements to a very comprehensive risk definition including underwriting and market risks. The new regulatory framework will demand more sophisticated tools to detect interest rate risks on both sides of the balance sheet in an integrated approach. Efforts by life insurers to level these risks could lead to an increased demand for long term fixed income securities. At this point the question arises if this industry wide change in asset demand will have or already has had an impact on prices of long-term bonds and the yield curve in the Euro-Zone?